{"id":1424,"date":"2026-05-24T15:29:25","date_gmt":"2026-05-24T15:29:25","guid":{"rendered":"https:\/\/lean-app.com\/?p=1424"},"modified":"2026-09-08T18:18:21","modified_gmt":"2026-09-08T18:18:21","slug":"lean-vs-fatsecret","status":"publish","type":"post","link":"https:\/\/lean-app.com\/pt\/lean-vs-fatsecret\/","title":{"rendered":"Lean diante do FatSecret: precis\u00e3o premium diante do tracker gratuito"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" 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18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1424 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1424 #lvm-shell .wrap,\nbody.postid-1424 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1424 #lvm-shell .wrap,\n  body.postid-1424 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1424 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1424 #lvm-shell *{max-width:100%}\nbody.postid-1424 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1424 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1424 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1424 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1424 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1424 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1424 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1424 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1424 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1424 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1424 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1424 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1424 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1424 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1424 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1424 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1424 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1424 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1424 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1424 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1424 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1424 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1424 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1424 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1424 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1424 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1424 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1424 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1424 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1424 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1424 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1424 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1424 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1424 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1424 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"FATSECRET\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#2E7BE5!important;\n  }\n  body.postid-1424 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1424 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1424 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1424 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1424 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1424 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1424 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1424 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1424 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1424 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1424 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1424 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1424 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1424 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1424 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n\n\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/pt\/\" aria-label=\"In\u00edcio Lean\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">Calculadora TDEE<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Baixar na App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Dispon\u00edvel no Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/pt\/\">In\u00edcio<\/a> &nbsp;\/&nbsp; Lean vs FatSecret<\/div>\n  <div class=\"eyebrow\">Comparativo &middot; Nutri\u00e7\u00e3o &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean diante do FatSecret.\n    <span class=\"alt\">Precis\u00e3o Premium diante da base comunit\u00e1ria gratuita.<\/span>\n  <\/h1>\n  <p class=\"dek\">O FatSecret \u00e9 gratuito e tem uma grande comunidade. O Lean v\u00ea seu gasto real sobre uma base oficial. Duas promessas que n\u00e3o jogam no mesmo campo.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>A equipe Lean<\/strong> &middot; Leitura 12&nbsp;min &middot; Atualizado em 24 de maio de 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Download gratuito<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      O FatSecret \u00e9 conhecido pelo modelo 100% gratuito financiado por publicidade, pela comunidade muito grande e ativa e pela cobertura multipa\u00eds. \u00c9 um di\u00e1rio alimentar massivo, presente em mais de 50 pa\u00edses. Mas sua f\u00f3rmula de TDEE continua sendo Mifflin-St Jeor 1990, mais um fator de atividade est\u00e1tico que voc\u00ea marca uma \u00fanica vez no cadastro (sedentary, lightly active, active, very active, extremely active). Sem gordura corporal real medida no app, sem adapta\u00e7\u00e3o metab\u00f3lica. Sua base de alimentos \u00e9 crowdsourced, com desvios de precis\u00e3o documentados.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela para explorar o aplicativo<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Demonstra\u00e7\u00e3o interativa<\/small>Toque na tela<br>para explorar o aplicativo<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Vis\u00e3o geral do app Lean com detalhamento do TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Voltar\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Vis\u00e3o geral Lean, aba Gasto\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"Detalhe TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Aba Balan\u00e7o\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Aba Calorias\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Aba Gasto\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Aba Estrat\u00e9gia\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Navegar no app Lean\">\n          <button data-tab=\"bilan\"     type=\"button\">Balan\u00e7o<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Calorias<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Gasto<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Estrat\u00e9gia<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Resposta r\u00e1pida<\/div>\n    <p>O FatSecret calcula seu TDEE com Mifflin-St Jeor 1990 (sem gordura corporal medida no app) e um fator de atividade est\u00e1tico escolhido no cadastro entre 5 caixas (sedentary, lightly active, active, very active, extremely active). A for\u00e7a real do FatSecret est\u00e1 em outro lugar: um modelo 100% gratuito financiado por an\u00fancios, uma grande comunidade ativa, o compartilhamento de refei\u00e7\u00f5es e receitas, presen\u00e7a em mais de 50 pa\u00edses. O Lean toma um partido diferente: recalcular cada componente do TDEE (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energia gasta em repouso. Na Lean, calculada sobre a massa magra real via BodyScan IA.<\/span><\/span> sobre gordura corporal real via um modelo propriet\u00e1rio patenteado, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Gasto ligado aos passos e \u00e0s atividades cotidianas fora do esporte.<\/span><\/span> por passos, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Gasto ligado aos seus treinos, calculado via MET.<\/span><\/span> por MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energia gasta pela digest\u00e3o. Depende dos macros ingeridos.<\/span><\/span> por macros) e modular o BMR pela adapta\u00e7\u00e3o metab\u00f3lica continuamente, com uma base de alimentos apoiada em USDA e OpenFoodFacts.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; A constata\u00e7\u00e3o<\/span><\/div>\n  <h2 id=\"constat\">O FatSecret te oferece a gratuidade, n\u00e3o a precis\u00e3o do seu gasto<\/h2>\n  <p>Voc\u00ea provavelmente j\u00e1 \u00e9 usu\u00e1rio do FatSecret, e o escolheu pelo que ele faz de melhor: um di\u00e1rio alimentar completo, sem assinatura, com o leitor de c\u00f3digo de barras incluso.<\/p>\n  <p>Voc\u00ea escaneou produtos, buscou alimentos na base, aproveitou receitas compartilhadas pela comunidade. O acompanhamento das ingest\u00f5es funciona.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 a &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">de queda medida do TDEE ap\u00f3s 4 a 6 semanas de d\u00e9ficit a &minus;500&nbsp;kcal\/dia. O FatSecret n\u00e3o detecta isso. Seu objetivo cal\u00f3rico fica congelado no seu fator de atividade de 100&nbsp;dias atr\u00e1s.<\/div>\n  <\/div>\n\n  <p>Vamos a um caso concreto. O FatSecret anuncia um TDEE de 2&nbsp;500&nbsp;kcal, voc\u00ea come 2&nbsp;250, acha que est\u00e1 a 250&nbsp;kcal de d\u00e9ficit. Se seu gasto real \u00e9 de 2&nbsp;280, seu d\u00e9ficit efetivo cai para 30&nbsp;kcal: a balan\u00e7a n\u00e3o vai se mexer.<\/p>\n  <p>A promessa do FatSecret \u00e9 clara e cumprida: um di\u00e1rio gratuito, uma comunidade, uma base cobrindo muitos mercados. Ela simplesmente n\u00e3o se refere \u00e0 precis\u00e3o do gasto.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problema 1<\/span><\/div>\n  <h2 id=\"p1\">A f\u00f3rmula BMR de 1990, sem gordura corporal medida no app<\/h2>\n  <p>O FatSecret tamb\u00e9m precisa estimar seu metabolismo basal para te dar um objetivo. Ele usa Mifflin-St Jeor, padr\u00e3o de fato do setor h\u00e1 tr\u00eas d\u00e9cadas.<\/p>\n  <p>A equa\u00e7\u00e3o \u00e9 de 1990: 498 sujeitos, calorimetria indireta, calibragem sobre uma popula\u00e7\u00e3o mais moderna do que os trabalhos de 1919. \u00c9 uma base honesta, e gratuita de implementar, o que explica sua presen\u00e7a quase universal.<\/p>\n  <p>Onde outros apps oferecem como op\u00e7\u00e3o a equa\u00e7\u00e3o Katch-McArdle, calculada sobre a massa magra, o FatSecret se limita \u00e0 f\u00f3rmula b\u00e1sica. Nenhum campo para inserir seu percentual de massa gorda, nenhum c\u00e1lculo alternativo: \u00e9 a contrapartida assumida de um produto sem assinatura.<\/p>\n  <p>O ganho de 1990 sobre 1919 continua pequeno, porque o problema conceitual est\u00e1 intacto: a f\u00f3rmula s\u00f3 olha seu peso. N\u00e3o sua composi\u00e7\u00e3o corporal.<\/p>\n  <p>A massa gorda n\u00e3o consome quase nada em repouso. As verdadeiras rubricas de gasto s\u00e3o os \u00f3rg\u00e3os e os m\u00fasculos: f\u00edgado, c\u00e9rebro, cora\u00e7\u00e3o, rins. Com o mesmo peso, dois corpos diferentes queimam de forma diferente.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) mediu o desvio diante da calorimetria indireta: 87&nbsp;% de precis\u00e3o nos n\u00e3o obesos, 68&nbsp;% nos obesos, com desvios de at\u00e9 330&nbsp;kcal por dia.<\/p>\n\n  <p style=\"margin-bottom:8px\"><strong>Exemplo em n\u00fameros.<\/strong> Homem de 1,80 m, 120&nbsp;kg, 30&nbsp;% de gordura corporal:<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 1<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartBMR\" aria-label=\"Compara\u00e7\u00e3o BMR Mifflin-St Jeor 2500 kcal vs modelo propriet\u00e1rio patenteado Lean 2000 kcal, diferen\u00e7a de 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>BMR estimado<\/strong> para um homem de 1,80 m, 120&nbsp;kg, 30&nbsp;% de gordura corporal. O modelo propriet\u00e1rio patenteado Lean leva em conta a massa magra. Mifflin-St Jeor (FatSecret por padr\u00e3o, sem op\u00e7\u00e3o massa magra), n\u00e3o. Diferen\u00e7a de 500&nbsp;kcal, o equivalente a um almo\u00e7o inteiro.<\/p>\n  <\/div>\n\n  <p>Um erro de 330&nbsp;kcal transforma um d\u00e9ficit te\u00f3rico em manuten\u00e7\u00e3o real. O tracking \u00e9 gratuito, o erro tamb\u00e9m, mas ele se paga em semanas de progresso perdidas.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Gordura corporal real<strong>Foto, 5 segundos<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">de diferen\u00e7a entre dois homens de 80&nbsp;kg, um com 10&nbsp;% de gordura corporal (BMR 1&nbsp;900), o outro com 30&nbsp;% (BMR 1&nbsp;500). O FatSecret d\u00e1 a eles o mesmo n\u00famero, sem op\u00e7\u00e3o massa magra.<\/div>\n  <\/div>\n\n  <p>Matematicamente, uma equa\u00e7\u00e3o alimentada s\u00f3 pelo peso n\u00e3o pode produzir um resultado individualizado. Gratuita ou paga, ela \u00e9 cega ao que faz a diferen\u00e7a.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Problema 2<\/span><\/div>\n  <h2 id=\"p2\">O fator de atividade, escolhido de uma vez por todas, e a base crowdsourced<\/h2>\n  <p>\u00c9 a\u00ed que a gratuidade mostra seu limite t\u00e9cnico.<\/p>\n  <p>Depois de estimar seu metabolismo basal, o FatSecret precisa calcular seu gasto total: o BMR mais os passos, os gestos do cotidiano, o esporte e a digest\u00e3o.<\/p>\n  <p>A solu\u00e7\u00e3o adotada \u00e9 a mais econ\u00f4mica de implementar: uma escolha \u00fanica de n\u00edvel de atividade no momento do cadastro. \u00c9 o coeficiente PAL.<\/p>\n  <ul>\n    <li>Sedentary (PAL 1,2): escrit\u00f3rio, pouca caminhada<\/li>\n    <li>Lightly Active (PAL 1,375): caminhada ocasional, pouco esporte<\/li>\n    <li>Active (PAL 1,55): caminhada regular, esporte 3 a 5 vezes por semana<\/li>\n    <li>Very Active (PAL 1,725): esporte intenso quase di\u00e1rio<\/li>\n    <li>Extremely Active (PAL 1,9): esporte muito intenso ou trabalho f\u00edsico pesado<\/li>\n  <\/ul>\n  <p>Seu metabolismo \u00e9 multiplicado por esse coeficiente, e o resultado vira seu objetivo di\u00e1rio. Uma \u00fanica entrada, v\u00e1lida indefinidamente.<\/p>\n  <p>A diferen\u00e7a em rela\u00e7\u00e3o \u00e0 realidade \u00e9 consider\u00e1vel. Um dia parado e um dia com 15&nbsp;000 passos n\u00e3o se distinguem em nada nesse c\u00e1lculo.<\/p>\n  <p>O FatSecret sabe importar seus passos do Apple Health ou do Google Fit, e pode creditar um treino detectado. Mas a base do c\u00e1lculo continua sendo o coeficiente declarado no in\u00edcio.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 2 &middot; 7 dias reais<\/span><span class=\"r\">kcal\/dia<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartNEAT\" aria-label=\"Variabilidade di\u00e1ria do gasto cal\u00f3rico em 7 dias, contra 2400 kcal fixas segundo o FatSecret\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Gasto real<\/strong> medido durante 7&nbsp;dias em um usu\u00e1rio do Lean. A linha cinza \u00e9 o que o FatSecret mostrava (2&nbsp;400&nbsp;kcal fixas, PAL Active \u00d7 BMR). As anota\u00e7\u00f5es rosa mostram por que cada dia se mexe.<\/p>\n  <\/div>\n\n  <p>Um n\u00edvel de atividade n\u00e3o \u00e9 uma constante. Ele varia de uma semana para outra, segundo seu trabalho, o clima, sua forma do momento.<\/p>\n  <p>Nenhuma das caixas propostas corresponde portanto de forma duradoura \u00e0 sua realidade, e o objetivo cal\u00f3rico fica permanentemente deslocado.<\/p>\n  <p>\u00c9 a verdadeira trava: mesmo com uma equa\u00e7\u00e3o de metabolismo melhor, um PAL congelado bastaria para falsear o resultado. O NEAT, o EAT e o TEF n\u00e3o se deduzem de um multiplicador \u00fanico.<\/p>\n  <p><strong>A esse problema se soma a qualidade da base de alimentos.<\/strong> O FatSecret exibe uma base massiva gra\u00e7as \u00e0 sua comunidade, mas essa base \u00e9 crowdsourced: os usu\u00e1rios adicionam os alimentos, as marcas, as receitas. V\u00e1rios estudos sobre bases de alimentos geradas por usu\u00e1rios documentaram desvios de mais ou menos 20 por cento nas calorias das entradas populares, por causa de duplicatas, por\u00e7\u00f5es mal inseridas, valores cal\u00f3ricos copiados de forma aproximada. Voc\u00ea pode digitar \u00ab&nbsp;frango assado&nbsp;\u00bb e obter 30 entradas diferentes com kcal que v\u00e3o do simples ao dobro. O Lean decide: base apoiada em <strong>USDA e OpenFoodFacts<\/strong>, fontes oficiais verificadas, e scan de foto por IA de um prato para os alimentos fora da base.<\/p>\n  <p>Um metabolismo sem medi\u00e7\u00e3o de composi\u00e7\u00e3o corporal, mais uma atividade resumida a uma caixa marcada uma vez: o objetivo final tem poucas chances de acertar.<\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Ver seu TDEE real, decomposto em BMR + NEAT + EAT + TEF. Download gratuito.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problema 3<\/span><\/div>\n  <h2 id=\"p3\">A adapta\u00e7\u00e3o metab\u00f3lica, nunca modelada<\/h2>\n  <p>\u00c9 a vari\u00e1vel de que nenhum app gratuito fala, e por uma raz\u00e3o: model\u00e1-la exige engenharia cont\u00ednua.<\/p>\n  <p>Quando voc\u00ea come menos durante semanas, seu organismo reduz seu gasto para se proteger. O princ\u00edpio \u00e9 o do modo economia de um telefone: nada para, tudo desacelera.<\/p>\n  <p>Esse mecanismo tem um nome, adapta\u00e7\u00e3o metab\u00f3lica, e est\u00e1 documentado: M\u00fcller 2015 (PubMed 26399868, rean\u00e1lise de Minnesota), Doucet 2001, Nunes 2020 (PMC7484122). A amplitude publicada vai de 5 a 25&nbsp;% do metabolismo basal.<\/p>\n  <ul>\n    <li>D\u00e9ficit de &minus;250&nbsp;kcal por dia, durante 2 a 8 semanas: adapta\u00e7\u00e3o de <strong>de 5 a 10&nbsp;%<\/strong> (o TDEE cai para 90-95&nbsp;% do n\u00edvel inicial)<\/li>\n    <li>D\u00e9ficit de &minus;500&nbsp;kcal por dia: <strong>10 a 15&nbsp;%<\/strong> de adapta\u00e7\u00e3o (o TDEE cai para 85-90&nbsp;%)<\/li>\n    <li>D\u00e9ficit de &minus;750&nbsp;kcal por dia: <strong>15 a 25&nbsp;%<\/strong> de adapta\u00e7\u00e3o (o TDEE cai para 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Conven\u00e7\u00e3o Lean: 100&nbsp;% corresponde a um metabolismo intacto, 90&nbsp;% a uma adapta\u00e7\u00e3o de 10&nbsp;%. Como o NEAT, o EAT e o TEF decorrem do BMR, todo o TDEE se desloca.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figura 3 &middot; 8 semanas em d\u00e9ficit<\/span><span class=\"r\">kcal\/dia<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\"><canvas id=\"chartAdapt\" aria-label=\"TDEE que cai de 2500 para 2150 kcal em 8 semanas, contra 2500 fixas segundo o FatSecret\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>TDEE real<\/strong> em 8 semanas de d\u00e9ficit a &minus;500&nbsp;kcal\/dia. A curva rosa desce. A linha do FatSecret fica plana. Na semana 6, voc\u00ea j\u00e1 est\u00e1 na manuten\u00e7\u00e3o. Sem ter mudado nada.<\/p>\n  <\/div>\n\n  <p>Concretamente: d\u00e9ficit de 25&nbsp;% visado sobre um TDEE de 2&nbsp;000&nbsp;kcal, ou seja 1&nbsp;500&nbsp;kcal por dia. Ap\u00f3s uma adapta\u00e7\u00e3o de 14&nbsp;%, o TDEE real \u00e9 de apenas 1&nbsp;720&nbsp;kcal. O d\u00e9ficit efetivo cai para 220&nbsp;kcal, e a perda para.<\/p>\n  <p>A armadilha est\u00e1 na progressividade. As primeiras semanas d\u00e3o resultados, o que valida o m\u00e9todo aos seus olhos. A diferen\u00e7a aumenta depois sem sinal vis\u00edvel, at\u00e9 o bloqueio.<\/p>\n  <p>A maioria das pessoas atribui ent\u00e3o esse plat\u00f4 \u00e0 sua for\u00e7a de vontade ou a um \u00ab&nbsp;metabolismo quebrado&nbsp;\u00bb. Um app gratuito n\u00e3o pode desengan\u00e1-las: ele nunca mediu a vari\u00e1vel em causa.<\/p>\n  <p>O FatSecret n\u00e3o calcula a adapta\u00e7\u00e3o metab\u00f3lica. Seu objetivo continua o mesmo na semana 8 e no primeiro dia, salvo atualiza\u00e7\u00e3o manual do seu peso. A gratuidade n\u00e3o \u00e9 o problema: a aus\u00eancia de medi\u00e7\u00e3o \u00e9.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Solu\u00e7\u00e3o Lean<\/span><\/div>\n  <h2 id=\"solution\">Como o Lean resolve cada um dos 3 problemas<\/h2>\n  <p>O Lean n\u00e3o foi pensado como um FatSecret pago. A gratuidade integral do FatSecret \u00e9 uma escolha real, assumida, e ningu\u00e9m tira isso dele. Mas um modelo 100&nbsp;% gratuito imp\u00f5e suas restri\u00e7\u00f5es: uma base de alimentos alimentada pelos pr\u00f3prios usu\u00e1rios, e um motor de c\u00e1lculo congelado h\u00e1 uma d\u00e9cada porque faz\u00ea-lo evoluir custa engenharia. O Lean faz a aposta inversa: medir cada componente do TDEE (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF), com a adapta\u00e7\u00e3o metab\u00f3lica que modula o BMR semana ap\u00f3s semana. Veja como, tijolo por tijolo.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Passo 1<strong>BodyScan IA<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Passo 2<strong>BMR recalculado<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">O BMR sobre gordura corporal real<\/div>\n      <h3>Modelo propriet\u00e1rio patenteado, baseado na massa magra<\/h3>\n      <p>Onde o FatSecret pede seu peso e deduz seu metabolismo, o Lean parte da sua <strong>massa magra<\/strong>. A nuance \u00e9 decisiva: o m\u00fasculo consome energia em repouso, a gordura quase nada. Resta o problema hist\u00f3rico: como conhecer seu percentual de massa gorda sem pagar um DEXA em cl\u00ednica toda semana?<\/p>\n      <p>A resposta do Lean cabe em uma foto. O <strong>BodyScan IA<\/strong> analisa sua foto via um modelo treinado em um banco de scans DEXA e devolve sua gordura corporal em alguns segundos. Voc\u00ea refaz toda semana, seu metabolismo se recalcula sozinho. \u00c9 precisamente o tipo de funcionalidade que um modelo gratuito n\u00e3o pode financiar.<\/p>\n      <p>Chega de adip\u00f4metro e sua margem de erro, de balan\u00e7a de bioimped\u00e2ncia e suas varia\u00e7\u00f5es segundo sua hidrata\u00e7\u00e3o, de DEXA e seu custo. Uma foto, cinco segundos, toda semana.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Sem coeficiente de atividade<\/div>\n      <h3>NEAT, EAT, TEF calculados separadamente<\/h3>\n      <p><strong>NEAT.<\/strong> Seus passos reais sobem do HealthKit (iOS) ou do Google Fit (Android). Nada a declarar, nada a estimar: s\u00e3o os aceler\u00f4metros do seu telefone que contam. O Lean cruza em seguida esses passos com seu metabolismo para converter sua atividade di\u00e1ria em calorias, enquanto uma caixa \u00ab&nbsp;moderadamente ativo&nbsp;\u00bb aplica o mesmo multiplicador a um entregador e a algu\u00e9m em home office.<\/p>\n      <p><strong>EAT.<\/strong> Voc\u00ea escolhe seu esporte em uma lista (muscula\u00e7\u00e3o, corrida, t\u00eanis, nata\u00e7\u00e3o) e o Lean aplica o MET correspondente ao seu tempo real de esfor\u00e7o. Um treino de muscula\u00e7\u00e3o de uma hora com tempos de descanso n\u00e3o vale uma hora de corrida cont\u00ednua: contar os dois de forma id\u00eantica \u00e9 errar em v\u00e1rias centenas de kcal na semana.<\/p>\n      <p><strong>TEF.<\/strong> Digerir custa energia, e esse custo depende do que voc\u00ea come: de 20 a 30&nbsp;% das calorias para as prote\u00ednas, de 5 a 10&nbsp;% para os carboidratos, de 1 a 3&nbsp;% para as gorduras. O Lean calcula essa rubrica sobre seus macros reais em vez de aplicar uma taxa fixa de 10&nbsp;% id\u00eantica para todo mundo.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"mini-phone\" style=\"max-width:170px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo<strong>Adapta\u00e7\u00e3o autom\u00e1tica<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">Adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica<\/div>\n      <h3>Uma primeira mundial em um app de consumo<\/h3>\n      <p><strong>A adapta\u00e7\u00e3o metab\u00f3lica.<\/strong> \u00c9 o tijolo que nenhum app de consumo modela, gratuito ou pago. Semana ap\u00f3s semana em d\u00e9ficit, seu metabolismo desacelera: o Lean ajusta seu TDEE para baixo segundo as faixas publicadas (M\u00fcller 2015, Doucet 2001), em vez de mostrar o mesmo objetivo cal\u00f3rico na semana 8 e no primeiro dia.<\/p>\n      <p>Passados 10 a 15&nbsp;% de adapta\u00e7\u00e3o, o app pode recomendar um retorno \u00e0 manuten\u00e7\u00e3o para relan\u00e7ar seu metabolismo antes de voltar ao d\u00e9ficit. \u00c9 o protocolo que os preparadores seguem, tornado autom\u00e1tico.<\/p>\n      <p>Nenhum coeficiente de atividade a marcar, nenhuma caixa congelada no cadastro. Cada componente \u00e9 medido, semana ap\u00f3s semana.<\/p>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Tabela comparativa<\/span><\/div>\n  <h2 id=\"tab\">Lean diante do FatSecret, crit\u00e9rio por crit\u00e9rio<\/h2>\n  <p>Leitura honesta dos pontos fortes e fracos de cada app. Nenhum crit\u00e9rio se refere ao pre\u00e7o.<\/p>\n\n  <div class=\"table\" role=\"table\" aria-label=\"Comparativo Lean diante do FatSecret\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Crit\u00e9rio<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>FatSecret<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">F\u00f3rmula BMR<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Modelo propriet\u00e1rio patenteado (massa magra)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor 1990, sem op\u00e7\u00e3o massa magra<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Leva em conta a gordura corporal<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim, medido no app<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o, nenhuma entrada de gordura corporal poss\u00edvel<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Medi\u00e7\u00e3o da gordura corporal no app<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> BodyScan IA via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (passos, atividade fora do esporte)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Calculado sobre os passos reais todo dia<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Sync HealthKit, add-on cal\u00f3rico de exerc\u00edcio, mas sem rec\u00e1lculo do TDEE<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (gasto do exerc\u00edcio)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Por esporte via MET, tempo efetivo<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Sele\u00e7\u00e3o simples de esporte, base de exerc\u00edcios padr\u00e3o<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (digest\u00e3o)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Calculado segundo macros, integrado no TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o, macros mostrados sem c\u00e1lculo de TEF<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Adapta\u00e7\u00e3o metab\u00f3lica<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Autom\u00e1tica, semana a semana<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Coeficiente de atividade a escolher<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> N\u00e3o, calculado sobre dados reais<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Sim, 5 caixas est\u00e1ticas (sedentary a extremely active, PAL 1,2 a 1,9)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Scan de foto por IA de um prato<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim, ilimitado<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> N\u00e3o, entrada manual, c\u00f3digo de barras ou foto manual do r\u00f3tulo<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Scan de c\u00f3digo de barras<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Sim<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Base de dados de alimentos<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, fontes oficiais verificadas<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Crowdsourced, duplicatas e desvios cal\u00f3ricos documentados<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Recomenda\u00e7\u00e3o de d\u00e9ficit cal\u00f3rico<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Adaptada ao TDEE real<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Objetivo fixo, rec\u00e1lculo manual necess\u00e1rio<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Compartilhamento comunit\u00e1rio (refei\u00e7\u00f5es, receitas)<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fora do escopo, foco no c\u00e1lculo do TDEE<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Comunidade ativa, receitas compartilhadas<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Cobertura multipa\u00eds<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Presente em mais de 50 pa\u00edses, multil\u00edngue<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Reputa\u00e7\u00e3o e tamanho da audi\u00eancia<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,7\/5, mais de 10&nbsp;000 usu\u00e1rios, app jovem<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,5\/5, mais de 100M de downloads acumulados, p\u00fablico amplo<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Modelo de neg\u00f3cio<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Premium, teste gratuito de 7 dias no plano anual<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Gratuito financiado por publicidade, Premium opcional<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Tracking<\/span><\/div>\n  <h2 id=\"tracking\">3 m\u00e9todos para registrar uma refei\u00e7\u00e3o<\/h2>\n  <p>Um app gratuito s\u00f3 tem interesse se voc\u00ea ainda o usa daqui a seis meses. O Lean oferece portanto tr\u00eas formas de registrar uma refei\u00e7\u00e3o, para que o atrito nunca seja a raz\u00e3o do abandono.<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo 1<strong>Base de dados<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo 2<strong>C\u00f3digo de barras<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">M\u00e9todo 3<strong>Scan de foto por IA<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>Busca na base de dados.<\/strong> Base curada, USDA + OpenFoodFacts. Sem ru\u00eddo comunit\u00e1rio, sem \u00ab&nbsp;Frango assado&nbsp;\u00bb inserido 47 vezes por 47 usu\u00e1rios diferentes com 47 valores diferentes.<\/li>\n    <li><strong>Scan de c\u00f3digo de barras.<\/strong> Padr\u00e3o. Voc\u00ea escaneia seu pacote de macarr\u00e3o, obt\u00e9m os macros.<\/li>\n    <li><strong>Scan de foto por IA de um prato.<\/strong> Voc\u00ea fotografa seu prato, a IA detecta os alimentos, voc\u00ea obt\u00e9m as calorias e os macros por alimento.<\/li>\n  <\/ol>\n  <p>O scan de foto por IA muda sobretudo as refei\u00e7\u00f5es feitas fora. Onde a base comunit\u00e1ria do FatSecret te faz escolher entre quinze vers\u00f5es do mesmo prato inseridas por quinze usu\u00e1rios, uma foto basta e voc\u00ea segue em frente.<\/p>\n  <p>Al\u00e9m da refei\u00e7\u00e3o, o Lean mostra um TDEE que se atualiza durante o dia: cada milhar de passos eleva seu objetivo cal\u00f3rico. Um total congelado de manh\u00e3 n\u00e3o pode refletir isso.<\/p>\n  <p>E acima, a Pir\u00e2mide de Progress\u00e3o hierarquiza o que conta:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Pir\u00e2mide de Progress\u00e3o Lean\">\n    <div class=\"level l1\"><span>Ader\u00eancia<\/span><span class=\"k\">Base<\/span><\/div>\n    <div class=\"level l2\"><span>Objetivo cal\u00f3rico<\/span><span class=\"k\">N\u00edvel 2<\/span><\/div>\n    <div class=\"level l3\"><span>Passos \/ NEAT<\/span><span class=\"k\">N\u00edvel 3<\/span><\/div>\n    <div class=\"level l4\"><span>Macronutrientes<\/span><span class=\"k\">Topo<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">N\u00e3o queimar etapas. Se voc\u00ea n\u00e3o \u00e9 regular no tracking, otimizar os macros no um por cento n\u00e3o serve para nada.<\/div>\n<\/section>\n\n<section aria-labelledby=\"fatsecret-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Honestidade<\/span><\/div>\n  <h2 id=\"fatsecret-better\">O que o FatSecret faz melhor<\/h2>\n  <p>O Lean n\u00e3o \u00e9 perfeito, e o FatSecret tem v\u00e1rios pontos fortes reais que \u00e9 preciso reconhecer. Leitura honesta, crit\u00e9rio por crit\u00e9rio, nos eixos em que o FatSecret continua na frente. Nenhum desses eixos \u00e9 secund\u00e1rio: s\u00e3o pilares reais da promessa do FatSecret, e o que explica sua ado\u00e7\u00e3o massiva no p\u00fablico geral que preza a gratuidade.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard FatSecret diante do Lean em 4 eixos gratuidade e comunidade\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Eixo<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-fatsecret-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> FatSecret<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Modelo 100% gratuito (financiado por an\u00fancios)<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:25%\"><\/i><\/div><div class=\"v\">2,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Cobertura multipa\u00eds<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:92%\"><\/i><\/div><div class=\"v\">9,2<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:65%\"><\/i><\/div><div class=\"v\">6,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Comunidade (compartilhamento de refei\u00e7\u00f5es e receitas)<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:88%\"><\/i><\/div><div class=\"v\">8,8<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:20%\"><\/i><\/div><div class=\"v\">2,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Tamanho bruto do cat\u00e1logo de alimentos<\/div>\n      <div class=\"bar mfp\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\"><div class=\"b\"><i style=\"width:72%\"><\/i><\/div><div class=\"v\">7,2<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Leitura honesta.<\/strong> No modelo gratuito, o FatSecret \u00e9 a refer\u00eancia do mercado: tudo \u00e9 acess\u00edvel sem paywall, financiado pela publicidade exibida no app. Nenhuma funcionalidade cr\u00edtica do tracking cal\u00f3rico fica bloqueada atr\u00e1s de um Premium. \u00c9 um diferencial real, sobretudo para os usu\u00e1rios que est\u00e3o come\u00e7ando ou que querem um di\u00e1rio sem compromisso. Na cobertura multipa\u00eds, o FatSecret est\u00e1 presente em mais de 50 pa\u00edses com vers\u00f5es localizadas e bases de alimentos adaptadas (marcas locais, pratos regionais). Nenhum outro app de consumo investiu tanto na expans\u00e3o geogr\u00e1fica. Na comunidade, o FatSecret construiu durante 15 anos uma rede ativa de usu\u00e1rios que compartilham suas refei\u00e7\u00f5es, suas receitas, suas dicas, suas conquistas. \u00c9 um mecanismo de ader\u00eancia que poucos apps reproduzem. No tamanho do cat\u00e1logo de alimentos, o FatSecret exibe v\u00e1rios milh\u00f5es de entradas, o que cobre alimentos muito espec\u00edficos que bases mais restritas n\u00e3o ter\u00e3o.<\/p>\n  <p>Se seu foco principal \u00e9 n\u00e3o pagar nada para acompanhar suas calorias, se voc\u00ea quer acesso em um pa\u00eds onde poucos apps s\u00e3o localizados, ou se a dimens\u00e3o comunit\u00e1ria te ajuda a aguentar, o FatSecret \u00e9 mais relevante do que o Lean. Se seu foco \u00e9 a precis\u00e3o do <a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">c\u00e1lculo do TDEE<\/a>, a gordura corporal medida toda semana via BodyScan IA, a adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica, e uma base de alimentos apoiada em USDA e OpenFoodFacts em vez de crowdsourced, \u00e9 exatamente o que acaba de ser demonstrado nas 3 se\u00e7\u00f5es anteriores. Muitos usu\u00e1rios rodam o Lean para a medi\u00e7\u00e3o e o FatSecret em paralelo para a cobertura de alimentos raros, \u00e9 totalmente defens\u00e1vel.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Para quem<\/span><\/div>\n  <h2 id=\"forwho\">Para quem o Lean foi feito<\/h2>\n  <p>Quatro perfis. Se um deles corresponde a voc\u00ea, o Lean tem chances de te servir.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea usa o FatSecret h\u00e1 muito tempo e n\u00e3o perdeu<\/h4>\n        <p>Voc\u00ea usa o FatSecret h\u00e1 muito tempo, gosta da gratuidade, mas duvida do n\u00famero mostrado diante dos seus esfor\u00e7os.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea estagna ap\u00f3s v\u00e1rias semanas de cutting<\/h4>\n        <p>O plat\u00f4 se instala ap\u00f3s quatro a oito semanas sem que nada tenha mudado no seu acompanhamento. \u00c9 a adapta\u00e7\u00e3o metab\u00f3lica, que o Lean calcula e integra ao seu objetivo.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea quer entender seu metabolismo<\/h4>\n        <p>Voc\u00ea quer entender de onde vem seu objetivo: cada componente mostrado separadamente, em vez de um total sa\u00eddo de uma f\u00f3rmula e de uma caixa marcada.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Voc\u00ea quer um tracking que dure 12 meses<\/h4>\n        <p>Voc\u00ea quer registrar r\u00e1pido sem navegar entre quinze vers\u00f5es do mesmo prato: foto, base curada ou c\u00f3digo de barras.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>O FatSecret continua mais relevante para<\/strong>&nbsp;: n\u00e3o pagar nada pelo seu di\u00e1rio cal\u00f3rico, aproveitar uma comunidade ativa que compartilha refei\u00e7\u00f5es e receitas, ou acessar um cat\u00e1logo multipa\u00eds muito amplo. A precis\u00e3o do c\u00e1lculo do TDEE e a adapta\u00e7\u00e3o metab\u00f3lica simplesmente n\u00e3o fazem parte da promessa principal dele.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migra\u00e7\u00e3o<\/span><\/div>\n  <h2 id=\"migrate\">Passar do FatSecret para o Lean (ou usar os dois) em 3 minutos<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Baixe o Lean<\/h4><p>App Store ou Play Store. Cadastro em trinta segundos.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>BodyScan IA<\/h4><p>Uma foto, cinco segundos: seu percentual de massa gorda aparece, sem equipamento.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Peso &amp; altura<\/h4><p>Voc\u00ea informa seu peso e sua altura. \u00c9 tudo o que \u00e9 preciso para come\u00e7ar.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>O Lean calcula<\/h4><p>BMR sobre massa magra real, NEAT a partir dos seus passos via HealthKit ou Google Fit, EAT por MET, TEF sobre seus macros, mais a adapta\u00e7\u00e3o metab\u00f3lica aplicada ao longo das semanas.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Registre uma refei\u00e7\u00e3o<\/h4><p>Foto, c\u00f3digo de barras ou base curada: tr\u00eas formas de registrar, sem duplicatas para triar.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Nota importante.<\/strong> O Lean n\u00e3o importa seu hist\u00f3rico do FatSecret automaticamente, nem suas receitas personalizadas. Se voc\u00ea ainda usa a comunidade do FatSecret para descobrir receitas ou encontrar um alimento local raro no seu cat\u00e1logo muito amplo, muitos usu\u00e1rios continuam consultando o FatSecret como complemento, usando o Lean no dia a dia para o c\u00e1lculo do TDEE e o tracking preciso. A sincroniza\u00e7\u00e3o HealthKit \/ Google Health Connect, por sua vez, assume imediatamente seus passos e seu hist\u00f3rico de atividade.<\/p>\n\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Baixe o Lean e comece o BodyScan IA agora mesmo. Cadastro gratuito.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; O que o Lean desbloqueia<\/span><\/div>\n  <h2 id=\"deblock-h\">O que o Lean faz, e que o FatSecret n\u00e3o faz (no TDEE)<\/h2>\n  <p>Seis funcionalidades que nenhum tracker gratuito oferece, por uma raz\u00e3o simples: elas exigem uma medi\u00e7\u00e3o cont\u00ednua, n\u00e3o apenas uma base de dados.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">BodyScan IA ilimitado<\/div><p class=\"fd\">Seu percentual de massa gorda medido a partir de uma foto, toda semana. \u00c9 o dado que individualiza o metabolismo, e ele n\u00e3o se obt\u00e9m por entrada manual.<\/p><\/div><div class=\"fc\">Gordura corporal<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Scan de foto por IA de um prato ilimitado<\/div><p class=\"fd\">Uma refei\u00e7\u00e3o registrada em dois segundos por foto, sem procurar a entrada certa entre quinze vers\u00f5es inseridas pela comunidade.<\/p><\/div><div class=\"fc\">Ader\u00eancia<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Adapta\u00e7\u00e3o metab\u00f3lica autom\u00e1tica<\/div><p class=\"fd\">Seu TDEE se reajusta semana ap\u00f3s semana segundo os valores publicados. O plat\u00f4 do segundo m\u00eas deixa de ser um mist\u00e9rio.<\/p><\/div><div class=\"fc\">Adapta\u00e7\u00e3o<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">TDEE decomposto ao vivo<\/div><p class=\"fd\">BMR, NEAT, EAT e TEF mostrados distintamente e atualizados durante o dia, em vez de um total congelado calculado de uma vez por todas.<\/p><\/div><div class=\"fc\">Ao vivo<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Base de alimentos oficial<\/div><p class=\"fd\">Suas tend\u00eancias de peso, massa gorda e massa magra ao longo de v\u00e1rios meses, para distinguir uma estagna\u00e7\u00e3o real de uma flutua\u00e7\u00e3o de \u00e1gua.<\/p><\/div><div class=\"fc\">Base<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 m\u00e9todos de tracking unificados<\/div><p class=\"fd\">Uma hierarquia de prioridades: ader\u00eancia, depois objetivo cal\u00f3rico, depois passos. Voc\u00ea sabe o que corrigir primeiro.<\/p><\/div><div class=\"fc\">Tracking<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Voc\u00ea instala o app gratuitamente, testa sem compromisso e depois decide se a ferramenta combina com seu objetivo.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Perguntas frequentes<\/h2>\n  <div class=\"faq\">\n    <details><summary>O FatSecret \u00e9 gratuito com uma grande comunidade, por que compar\u00e1-lo ao Lean no TDEE?<\/summary><div class=\"ans\">O FatSecret \u00e9 conhecido pelo modelo 100% gratuito financiado por publicidade, pela comunidade muito grande e ativa e pela base de alimentos massiva (mais de 50 pa\u00edses, compartilhamento de refei\u00e7\u00f5es e receitas pelos usu\u00e1rios). \u00c9 sua for\u00e7a. Mas sua promessa cal\u00f3rica repousa em Mifflin-St Jeor 1990 sem gordura corporal, mais um fator de atividade est\u00e1tico a escolher entre 5 caixas no cadastro (sedentary, lightly active, active, very active, extremely active). E sua base de alimentos \u00e9 crowdsourced, com desvios de precis\u00e3o documentados (entradas duplicadas, calorias incorretas, marcas mal preenchidas). O Lean recalcula todo dia seu BMR sobre sua gordura corporal real medida por BodyScan IA, e apoia sua base em USDA + OpenFoodFacts. Os dois apps n\u00e3o jogam no mesmo campo: gratuidade comunit\u00e1ria diante de precis\u00e3o Premium.<\/div><\/details>\n    <details><summary>Por que o FatSecret n\u00e3o calcula o BMR sobre a gordura corporal real?<\/summary><div class=\"ans\">O FatSecret aplica Mifflin-St Jeor 1990 por padr\u00e3o sem op\u00e7\u00e3o massa magra. Nenhuma medi\u00e7\u00e3o de gordura corporal est\u00e1 integrada no app, e nenhuma equa\u00e7\u00e3o tipo Katch-McArdle \u00e9 oferecida, nem mesmo em configura\u00e7\u00f5es avan\u00e7adas. A consequ\u00eancia \u00e9 mec\u00e2nica: dois usu\u00e1rios de mesmo peso mas com 10 e 30 por cento de gordura corporal obt\u00eam o mesmo BMR FatSecret, quando seu gasto real pode diferir de 400 a 500 kcal por dia. O Lean integra o BodyScan IA para medir sua gordura corporal a partir de uma simples foto, a refazer toda semana.<\/div><\/details>\n    <details><summary>A base de alimentos crowdsourced do FatSecret \u00e9 confi\u00e1vel?<\/summary><div class=\"ans\">O FatSecret exibe uma base de alimentos massiva gra\u00e7as \u00e0 sua comunidade que adiciona alimentos, marcas e receitas. \u00c9 sua for\u00e7a em termos de cobertura. O reverso: as entradas duplicadas s\u00e3o numerosas, os valores cal\u00f3ricos variam de uma inser\u00e7\u00e3o para outra para o mesmo alimento, e a verifica\u00e7\u00e3o rigorosa n\u00e3o \u00e9 sistem\u00e1tica. V\u00e1rios estudos sobre bases de alimentos geradas por usu\u00e1rios documentaram desvios de mais ou menos 20 por cento nas calorias das entradas populares. O Lean apoia sua base em USDA e OpenFoodFacts, fontes oficiais verificadas, e acrescenta o scan de foto por IA de um prato para os alimentos fora da base.<\/div><\/details>\n    <details><summary>O FatSecret importa os passos via HealthKit, basta para o NEAT?<\/summary><div class=\"ans\">O FatSecret sincroniza Apple Health e Google Fit para os passos e alguns treinos, e pode adicionar um add-on cal\u00f3rico para os exerc\u00edcios detectados. Mas o c\u00e1lculo de fundo do TDEE continua baseado no fator de atividade escolhido no cadastro entre 5 caixas (sedentary, lightly active, active, very active, extremely active). O NEAT medido dia a dia n\u00e3o recomp\u00f5e o gasto total. O Lean calcula o NEAT diretamente a partir dos passos reais medidos todo dia, sem coeficiente a escolher.<\/div><\/details>\n    <details><summary>O Lean \u00e9 gratuito ou pago?<\/summary><div class=\"ans\">O Lean \u00e9 Premium, com um teste gratuito de 7 dias na assinatura anual. Voc\u00ea baixa, testa o BodyScan IA, o scan de foto por IA de um prato, a recomposi\u00e7\u00e3o do TDEE, sem compromisso. Se a ferramenta combina com seu objetivo, voc\u00ea continua. Sen\u00e3o, desativa a renova\u00e7\u00e3o antes do fim do per\u00edodo de teste.<\/div><\/details>\n    <details><summary>\u00c9 poss\u00edvel usar o Lean e o FatSecret em paralelo?<\/summary><div class=\"ans\">Sim, \u00e9 defens\u00e1vel se voc\u00ea gosta da comunidade do FatSecret para compartilhar suas refei\u00e7\u00f5es e receitas, ou se quer manter um fallback gratuito para inserir um alimento encontrado na base dele. O Lean cuida do motor metab\u00f3lico (BMR sobre gordura corporal real, NEAT, EAT, TEF, adapta\u00e7\u00e3o), o FatSecret te traz um di\u00e1rio comunit\u00e1rio e uma cobertura multipa\u00eds ampla. \u00c9 um trade-off entre precis\u00e3o e cobertura comunit\u00e1ria.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Conclus\u00e3o<\/span><\/div>\n  <h2 id=\"conclu\">1990 diante de 2026<\/h2>\n  <p>N\u00e3o \u00e9 um duelo de marketing. \u00c9 a gratuidade comunit\u00e1ria diante da precis\u00e3o do gasto: duas promessas distintas.<\/p>\n  <p>O FatSecret continua sendo a melhor escolha para acompanhar suas calorias sem pagar nada, com uma comunidade ativa e uma cobertura ampla.<\/p>\n  <p>O Lean responde \u00e0 outra necessidade: um metabolismo calculado sobre a massa magra medida por BodyScan IA via um modelo propriet\u00e1rio patenteado, um NEAT extra\u00eddo dos seus passos reais, um EAT por MET, um TEF sobre seus macros, e a adapta\u00e7\u00e3o metab\u00f3lica acompanhada semana ap\u00f3s semana.<\/p>\n  <p>A gratuidade, a comunidade e a cobertura internacional continuam sendo pontos fortes do FatSecret. Se voc\u00ea o usou a s\u00e9rio e seu progresso parou sem explica\u00e7\u00e3o, o problema provavelmente est\u00e1 do lado do gasto.<\/p>\n<\/section>\n\n<div class=\"get-band rev\">\n  <div class=\"kicker\">Download<\/div>\n  <h3>A Lean pode ser baixada gratuitamente<\/h3>\n  <p>iOS e Android. O BodyScan IA funciona com uma simples foto: nem adip\u00f4metro, nem balan\u00e7a de bioimped\u00e2ncia, nem DEXA.<\/p>\n  <div class=\"stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\" target=\"_blank\" rel=\"noopener\" aria-label=\"Baixar o Lean na App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\" target=\"_blank\" rel=\"noopener\" aria-label=\"Baixar o Lean no Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Para ir al\u00e9m<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Links internos<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/tdee-calculator\/\">Calculadora TDEE gratuita online<\/a> &middot; vers\u00e3o web, sem cadastro, mesma l\u00f3gica do app (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\">Entender o TDEE em detalhe (BMR, NEAT, EAT, TEF, adapta\u00e7\u00e3o)<\/a> &middot; artigo cient\u00edfico de fundo.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/comment-compter-ses-calories\/\">Como contar suas calorias corretamente<\/a> &middot; guia pr\u00e1tico para iniciantes.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/neat-depense-non-sportive\/\">NEAT&nbsp;: gasto por passos e atividade fora do esporte<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/pt\/effet-thermique-des-aliments\/\">TEF&nbsp;: a digest\u00e3o queima calorias<\/a>.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Fontes<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografia<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Frankenfield D.C. et al. (2013). Validation of Mifflin-St Jeor equation in obese and non-obese populations. PubMed 23631843.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity. PubMed 26399868.<\/li>\n    <li>Doucet E. et al. (2001). Evidence for the existence of adaptive thermogenesis during weight loss. British Journal of Nutrition. PubMed 11319656.<\/li>\n    <li>Nunes C.L. et al. (2020). Metabolic adaptation and energy compensation following weight loss. PMC7484122.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>USDA FoodData Central. National Nutrient Database for Standard Reference. fdc.nal.usda.gov.<\/li>\n    <li>OpenFoodFacts. Base de dados de alimentos colaborativa aberta e verificada. openfoodfacts.org.<\/li>\n    <li>Estudos sobre a precis\u00e3o das bases de alimentos crowdsourced (variabilidade documentada de mais ou menos 20 por cento nas entradas populares).<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Artigo publicado em 24 de maio de 2026, atualizado regularmente com o feedback dos usu\u00e1rios e os novos estudos relevantes. 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16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Metabolismo basal (BMR): tudo o que \u00e9 preciso saber para calcul\u00e1-lo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Defini\u00e7\u00e3o, equa\u00e7\u00e3o TDEE, 4 f\u00f3rmulas hist\u00f3ricas, por que a gordura corporal muda tudo.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Gasto energ\u00e9tico total (TDEE): a f\u00f3rmula can\u00f4nica BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Entenda os 4 blocos + a adapta\u00e7\u00e3o metab\u00f3lica, fontes cient\u00edficas 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/comparatifs-croises\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">MyFitnessPal ou Yazio? 12 duelos de apps de calorias comparados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">O veredito de cada duelo de relance: quem ganha em qu\u00ea, e o que nenhum dos dois calcula.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Melhores aplicativos para contar calorias em 2026: 8 apps testados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Qual alternativa ao MyFitnessPal em 2026? 5 apps testados <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Comparativo honesto, precis\u00e3o do TDEE, ergonomia.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Todos os comparativos do Lean frente aos grandes apps de calorias <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/lean-vs-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean frente ao MyFitnessPal: a f\u00f3rmula TDEE que muda tudo <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Por que o MFP erra no seu gasto cal\u00f3rico real.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/pt\/lean-vs-foodvisor\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean contra o Foodvisor: pioneiro do scan de fotos vs gasto real <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">O Foodvisor v\u00ea o seu prato. O Lean recomp\u00f5e o seu TDEE continuamente.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs FatSecret Comparatif &middot; Nutrition &amp; TDEE Lean face \u00e0 FatSecret. Pr\u00e9cision Premium face \u00e0 la base communautaire gratuite. FatSecret est gratuit et a une grosse communaut\u00e9. Lean voit ta d\u00e9pense r\u00e9elle sur une base officielle. Deux promesses qui ne jouent pas sur le m\u00eame terrain. L&rsquo;\u00e9quipe Lean &middot; [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1424","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean vs FatSecret: gratuito ou preciso? - Lean<\/title>\n<meta name=\"description\" content=\"FatSecret \u00e9 o \u00fanico 100 % gratuito com scanner, Lean calcula seu gasto com base na sua gordura corporal real. 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