Wellness Project VS Diffyn

Wellness Project's answer

Most trackers show you charts and leave the interpretation to you. Wellness Project puts eight named specialist coaches on top of your own data: a hypertrophy coach, a bodybuilding coach, a nutritionist, a longevity advisor, a biohacker, an injury and recovery advisor, a running coach and a protocol architect. They read your workouts, meals, sleep, HRV, labs and wearable data together and tell you what to do next.

It also has scores you won't find elsewhere, including Healthspan, a per-session NSI score for strength training, muscle fatigue, training load and sedentary-time detection. And it runs an MCP server, so you can bring your health data into Claude, ChatGPT and other AI assistants.

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Wellness Project's answer

• One app instead of several. Workouts, nutrition, sleep, recovery, labs and body composition live in one place, instead of splitting them across Strong or Hevy, MyFitnessPal or Cronometer, and a wearable app.
• Coaching, not just logging. Eight specialist AI coaches turn your data into specific next steps.
• Works with the device you already own. Apple Health, Fitbit, Oura, WHOOP, Google Health Connect and more sync automatically, with 14 direct integrations.
• Free to start. Unlimited logging, every integration and all eight coaches are free. Pro costs less than most single-purpose trackers.
• Your data stays yours. Encrypted, never sold, and exportable or deletable at any time.
• Available everywhere. iPhone, Android and web, in 20 languages.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

Wellness Project's answer

• Next.js and React for the web app
• Capacitor for the native iPhone and Android apps
• Supabase (Postgres, auth and storage)
• Vercel for hosting and deployment
• Anthropic Claude models for the AI coaches
• Model Context Protocol (MCP) server for connecting data to AI assistants
• Apple HealthKit, Google Health Connect, Fitbit, Oura and WHOOP APIs for wearable sync
• Google Cloud

Diffyn's answer:

React, Next.js, POSTGRESQL

Wellness Project's answer

Adults who train seriously and already wear a device: lifters focused on hypertrophy or body recomposition, runners working toward a race, and longevity-minded people tracking sleep, HRV and lab markers. They are data-rich but short on time, and want clear guidance without paying for a personal trainer, dietitian and sleep coach separately. Users come from more than 50 countries.

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Wellness Project's answer

Wellness Project is built by solo founder Bryan Barash around a simple problem: wearables and tracking apps collect a huge amount of health data, but almost none of them tell you what to do with it. Your workouts are in one app, your meals in another, your sleep and HRV in a third, and nobody connects the dots.

The answer was one platform that pulls all of that data together and puts a team of specialist AI coaches on top of it, each with their own area of expertise and voice. Wellness Project launched as a public beta and has since grown to users in more than 50 countries, 20 languages and 14 direct wearable integrations, with new features and integrations shipping every week.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.