# SthenosFit

> The professional coaching platform for evidence-based strength coaches. AI workouts grounded in peer-reviewed sports science, biometric signals straight from your clients' wearables (sleep, HRV, heart rate), and a roster that warns you before someone drifts.

SthenosFit is a mobile-first coaching platform (iOS and Android) that combines a coach surface with a polished trainee experience. Coaches author programmes, monitor biometrics and run their roster; trainees execute workouts, log a daily check-in, and message their coach in-context. The two surfaces sit on the same data model.

## What the platform gives you

- **AI workouts grounded in peer-reviewed research.** A multi-stage AI pipeline pulls evidence from a corpus of strength-and-conditioning papers, a coach agent drafts each session against the client's profile (equipment, injuries, recovery, training history), and a reviewer pass attaches per-exercise citations the coach can audit and the trainee can read.
- **Reads sleep, HRV, and heart rate from wearables — adapts every workout to match.** Apple Health, Garmin, Whoop and similar wearables feed a per-muscle recovery readiness signal that informs the next session, automatically. No per-muscle survey to fill in.
- **Stays ahead of your roster — warns you before a client drifts.** A "needs attention" panel surfaces clients with falling adherence, energy or biometric trends before retention takes a hit. Daily AI coaching tips, one per client, the coach approves before they ship.
- **Workout runner** — set-by-set logging with rest timer, auto PR detection celebrated in-session, tempo / RPE / RIR / partials / drop sets / myo-reps, plate calculator, smart warm-up suggestions.
- **Programme PDF export** with branded coach watermarking.
- **In-app messaging** between coach and athlete, in context.
- **Privacy-first** — client data is encrypted in transit and at rest, GDPR-compliant export and deletion, no ads, no third-party trackers, never sold.

## Who it's for

- **Primary audience:** strength and physique coaches running their own roster — solo, in small studios, or as part of a team.
- **Secondary audience:** the athletes they coach. The trainee app is included with the coach's subscription; trainees do not pay separately.

## Pricing

- **PRO** — €49.99 / month for up to 25 clients
- **Yearly** — €39.99 / month (billed annually, save 20%)
- ~€2 per client per month
- 14-day free trial, no credit card required

## Founding-member offer

A small group of coaches we partner with at launch to shape the product. The deal:

- **First 90 days completely free** while we onboard you and refine workflows together
- **20% off the subscription afterwards**, locked in for as long as you stay subscribed
- Direct line into the team — your feedback gets prioritised in the roadmap
- Spots are limited; every application is reviewed manually

Apply via the "Enroll as a founding member" CTA on the homepage.

## Platforms

- iOS (iPhone and iPad)
- Android (phones and tablets)
- Phone-first for the trainee runner; tablet-friendly for coach programming
- No web app

## Differentiators

- The only coaching platform that **cites the research behind every prescription** at the per-exercise level, not just program-level
- A **per-muscle recovery signal** computed automatically from wearable signals (sleep, HRV, heart rate) plus one daily check-in — no per-muscle survey
- **Multi-stage AI experts** instead of a single LLM wrapper, with retrieval, drafting, and a separate citation-attachment reviewer
- Built with privacy as a first-class constraint, not an afterthought

## Key URLs

- Homepage: https://sthenosfit.com/
- App tour, features and demo: https://sthenosfit.com/#showcase
- Live demo: https://sthenosfit.com/#demo
- Pricing: https://sthenosfit.com/#pricing
- FAQ: https://sthenosfit.com/#faq

## Contact

- Coaching enquiries: coaches@sthenosfit.com
- Press / partnerships: hello@sthenosfit.com

## Optional

- [Detailed long-form description](/llms-full.txt)
- [About this platform (markdown)](/about.md)
- [Sitemap](/sitemap.xml)