Existing businessConsumer Health & Fitness
AbMaxx-style copycat
AbMaxx is an AI fitness app that scans a user's abs and builds a personalised plan; TrustMRR (Stripe/RevenueCat-verified) shows $19.4K MRR, 5,392 active subscriptions and $43.4K revenue in the last 30 days, about 7 months after its Mar 18 2026 founding.
Working title: AbMaxx-style copycat for Brazil and Spanish-speaking LatAm (working name)
Summary
BriefingVerified
AbMaxx (founded 2026-03-18 per TrustMRR) is a free-to-download, in-app-purchase fitness app: the user photographs their physique, AI scores the abs and a plan follows. TrustMRR (Verified) shows $172.2K all-time revenue, $43.4K in the last 30 days, $19.4K current MRR and 5,392 active subscriptions; RunsBy lists $47.7K for the 30 days to Oct 15, so the run is still strong and the viral peak is current.…
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Age is just over 6 months from founding, so the POP 5.3 window is borderline and flagged. HBV angle: a PT-BR/ES physique-scan and plan app for LatAm gym culture, with faceless before/after share cards. Growth channels of the original were not verified.
Description
Original: subscription app (free + in-app purchases) that uses AI to analyse abs and generate personalised workouts and progress tracking (TrustMRR). HBV version: web-first PWA then store app; scan -> score -> 4-week plan -> weekly re-scan with before/after card (share loop). Localisation: PT-BR/ES-MX exercise names, LatAm gym and calisthenics culture, Pix/card web paywall, SEO pages ('treino de abdômen em casa', 'rutina abdomen').…
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Safety: wellness not medical; no body-shaming scoring (positive framing), age gate 18+, no weight-loss or medical claims. Global Application: any market with gym culture, English first. LatAm Version: Brazil and Mexico, PT-BR/ES-MX plans and local slang, WhatsApp-shareable progress cards.
Target customer
Gym-going men and women 18-35 in Brazil and Spanish-speaking LatAm
Pain
Generic ab routines, no feedback on their own physique, English-only apps
Why this score
Why it scored lower: Borderline age, unknown clones, body-image sensitivity
MoatHypothesis
Local plans + SEO + progress-share loop. Language-specific plans and SEO pages plus shareable progress cards can win the LatAm niche first. Model layer is commodity; moat is speed and community. Hypothesis.
Demand signals
X posts (7 days)
n/a
Signal trend
n/a
Web demandVerified
AbMaxx $43.4K 30-day revenue, 5,392 subs (Verified, TrustMRR); RunsBy dated listing.
Market and competitors
TAMHypothesisEstimate
$20B+ (Hypothesis) — Global fitness-app and digital coaching spend. Method: Order-of-magnitude hypothesis, not a sourced report. Sources: Hark estimate (Hypothesis).
SAMHypothesisEstimate
$150M (Hypothesis) — AI body-scan fitness subscriptions in PT-BR and Spanish. Method: ~25M gym-going smartphone users x ~3% paying x ~$50/year ≈ $37M near term; $150M ceiling. Sources: Hark estimate (Hypothesis).
SOMVerifiedHypothesisEstimate
$180K ARR (Hypothesis) — 12 months, one localised app. Method: ~3,000 payers x ~$60/year; about 6% of the original's current run-rate (~$233K ARR from MRR, Verified). Sources: Hark estimate (Hypothesis).
Competitors
AbMaxx, generic gym apps (Nike Training, Fitbod), body-scan apps
Existing business
https://trustmrr.com/startup/abmaxx
Business model
Monetization
Subscription (weekly/monthly) with web paywall; optional sponsored gear slots later
Revenue hypothesis (monthly)VerifiedHypothesis
Base ~$12K/month, conservative ~$3K/month at 12 months (Hypothesis). Benchmark: AbMaxx $19.4K MRR (Verified).
Traction and revenueVerified
Founded 2026-03-18 (~7 months). $43.4K 30-day revenue, $19.4K MRR, 5,392 active subs, $172.2K all-time (TrustMRR, Verified). X velocity n/a (hbv_scout to confirm).
Jobs to be done
When I train but do not know which abs work fits my body, I want an honest scan and a plan in my language, so I can see visible progress and share it.
HXC
Rafael · 24 · Belo Horizonte: Trains 4x/week, posts progress photos, follows fitness creators. Frustration & buying signal: Wants a plan tailored to his physique, in Portuguese, at a price below a personal trainer; would pay monthly if progress is visible.
Build and go-to-market
Tech stack
Cursor + Vercel + GitHub cesarx2 (one repo); Supabase; Stripe
GTM channels
PT-BR/ES SEO/GEO pages, faceless share cards, persona accounts; no founder face, no paid ads
Risks
Main risk
Borderline age, unknown clones, body-image sensitivity
All risks
Value Risk: Attention — Fitness apps churn fast; weekly plans mask retention. Next: Test week-4 retention with a fake-door. | Usability Risk: Attention — Body-scan accuracy and tone are sensitive. Next: Positive framing; blind test on 30 photos. | Feasibility Risk: Supported — Vision API plus plan templates; small app.…
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Next: Web-first MVP in 7 days. | Viability Risk: Elevated — Store health-claims policy, inference cost, saturation. Next: Wellness-only copy; cost model before launch.
Next validation step
Count PT-BR/ES store clones; 72h landing test; model cost per scan
Sources
- trustmrr.com https://trustmrr.com/startup/abmaxx.md https://www.runsby.ai/launched/ai-businesses-launched-in-2026.html
ai-fitness, body-scan, subscription, mobile-app, b2c, copycat, existing, below-bar
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Research, not investment advice. Numbers keep the label they were published with.