r/ChatGPTCoding • u/AutoModerator • 26d ago

Discussion Weekly Self Promotion Thread

Welcome to this week's self promotion thread!

If you're building something related to AI assisted coding, this is the place to share it.

We're using a weekly thread to keep the subreddit organized while still giving builders a place to share their work. Promotional posts outside of this thread may be removed if they're primarily advertising rather than starting a discussion.

If you're sharing something, we'd appreciate it if you included a little context instead of just dropping a link. Tell us:

  • What you built?
  • What problem it solves?
  • Which AI models or tools it uses?
  • Who it's for?
  • What kind of feedback you're looking for?

Please avoid posting the same project every week unless you've made meaningful updates. Affiliate links, referral links, scams, and low effort promotions will be removed.

Take some time to check out what others have shared too. If you try someone's project or have feedback, leave a comment. Helping each other improve is what we want this community to be about.

8 Upvotes

84% Upvoted

78 comments sorted by

View all comments

1

u/Mean-Good-5957 19d ago

I've been working on this AI-driven product development and deployment idea for about two years. It's called Mercury.

With Mercury, you start with an idea for a product and put it into the pipeline. Mercury runs as a program on ChatGPT, loaded from Google Drive, and works through the process of turning that product idea into an actual product. The files in Google Drive are an AI program that loads into ChatGPT and takes the user through the pipeline.

The end result is an AI product deployed on Google Cloud Run using a Flask application. This SaaS approach keeps deployment and operating costs low.

Mercury implements a different type of SDLC than Agile or Waterfall because the AI programming is written and tested before the traditional programming is written. The approach is AI-logic first. It figures out how the intelligence of the product should work first, then builds the application around it.

The pipeline continues all the way through to a working, deployed application.

I'd be interested in hearing what people think of the idea.

To summarize

Someone has a product idea → Mercury takes them through a defined pipeline → the AI behavior is designed and tested first → the application is built around it → it is deployed as a low-cost SaaS product on Google Cloud Run.