
Hevy
Strong.app
Fitbod
JEFIT
Fightie
Alpha Progression
Freeletics
The French workout app that automatically adjusts your program every week based on your real performance.
LayerStack’s Arm-based cloud virtual machines, powered by cloud-optimized CPU based on Arm architecture that deliver excellent cost-effective processing power, allowing you to easily complete the most demanding application development.

Website, pricing, platforms and company facts side by side.
|
|
LSA
LayerStack Arm-based Cloud Server
|
|
|---|---|---|
| Website | forgesport.fr | layerstack.com |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from France · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.

ForgeSport is a French workout app that automatically adjusts your training program every week based on your real performance data (weights, RPE, completion rate). Every Sunday evening, the algorithm regenerates your program for the following week — weights increased if you progress, exercises...
No description of LayerStack Arm-based Cloud Server yet.
What each product offers, as listed by its team.

Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing ForgeSport.fr and LayerStack Arm-based Cloud Server.
ForgeSport.fr's answer
Next.js, TypeScript, Supabase, OpenAI API, Stripe. Deployed as a Progressive Web App.
ForgeSport.fr's answer
Thomas, the founder, spent 3 years lifting weights and testing every fitness app on the market. None of them adapted to his real performance — they were all static plans or passive loggers. He learned to code in his spare time and built ForgeSport to solve his own problem. Launched May 2026.
ForgeSport.fr's answer
French-speaking intermediate gym-goers (6 months to 3 years of training) who are tired of static programs and can't afford a personal coach. They train seriously, want science-based progression, and need something that evolves with them week after week.
ForgeSport.fr's answer
ForgeSport is the only French workout app that actually adapts to you. Hevy and Strong are excellent loggers — they record what you do. ForgeSport analyzes what you do and changes your program accordingly every Sunday night. No manual adjustments, no static plans, no guesswork.
ForgeSport.fr's answer
The combination of three features no other French app offers together: automatic weekly program adaptation based on real performance data (RPE, weights, completion rate), 1-click biomechanical exercise substitution with auto-recalculated weights, and a 24/7 AI assistant with full program context. Built entirely in French for the francophone fitness community.
Share your experience with using ForgeSport.fr and LayerStack Arm-based Cloud Server. For example, how are they different and which one is better?
When comparing ForgeSport.fr and LayerStack Arm-based Cloud Server, you can also consider the following products.

Simple workout logging, insightful analytics, and a growing community of gym athletes.
Compare Hevy to ForgeSport.fr or LayerStack Arm-based Cloud Server:

Strenght training logger.
Compare Strong.app to ForgeSport.fr or LayerStack Arm-based Cloud Server:

Personalized Strength-Training powered by Machine Learning
Compare Fitbod to ForgeSport.fr or LayerStack Arm-based Cloud Server:

Jefit is the #1 popular gym workout app for Android and iOS. Jefit allows you to manage your training routine and keep track of your workout progress easily.
Compare JEFIT to ForgeSport.fr or LayerStack Arm-based Cloud Server:

The best all-in-one workout tracker
Compare Fightie to ForgeSport.fr or LayerStack Arm-based Cloud Server:

Strength training app and gym tracker with personalized workout plans and weight and rep recommendations for progressive overload.
Compare Alpha Progression to ForgeSport.fr or LayerStack Arm-based Cloud Server: