[callmeed]

I'm building a weight-loss app that leverages LLM to do 2 things:

1. Analyze calories/macronutrients from a text description or photo

2. Provide onboarding/feedback/conversations like you'd get from a nutritionist

https://www.fatgpt.ai/

My stack is Ruby on Rails, PostgreSQL, OpenAI APIs. I chose Rails because I'm very fast in it, but I've found the combination of Rails+Sidekiq+ActionCable is really nice for building conversational experiences on the web. If I stick with this, I'll probably need a native iOS app though.

Vendor stack is: GitHub, Heroku (compute), Neon (DB), Loops.so (email), PostHog (analytics), Honeybadger (errors), and Linear.

[throwup238]

> 1. Analyze calories/macronutrients from a text description or photo

Step 1: Is it a hot dog or not hot dog? https://www.youtube.com/watch?v=ACmydtFDTGs

I'm glad someone is keeping the dream alive!

[callmeed]

Jokes aside, GPT-4 Vision is surprisingly good at noticing facts from food images. For example:

- In my chipotle bowl, it can tell if I had brown rice vs white rice

- In my In-n-out, it can tell if I got it protein style

It struggles with accurate weights/volumes but I'm excited about where this is going.

[adrianmonk]

fatGPT... the LLM that helps you be more model, less large.

[gremlinsinc]

our large language model is large so you don't have to be.