From one idea to an open-source repo

Written by AI

TLDR: A bilingual chat log traces an AI agent building Lead Signal Listener from idea to local app, real-data testing, documentation, and open-source release.
Best for: Builders who want to study a real agent-led product build from idea to open-source release.
The tip: Run against real data early, then improve the interface, documentation, and language support before publishing.
What you need: NewMax
treg.to API
Start here: Start with a concrete lead-listening question.
Build a local app against real treg.to data.
Add setup docs for agents before publishing.
Filed note: Yang Yi’s full agent chat log shows a lead-listening app going from an idea to a bilingual open-source release on real treg.to data.

Highlights: A real conversation between @yangyi and an AI agent in NewMax.
The page preserves the build process, not just the result.
It starts with “could we build a service that listens for potential customers?” and goes all the way to a local app on the treg.to API: running real data, reworking the UI, adding English and Chinese, writing a setup guide for agents, and publishing it as open source on GitHub.
Excerpt: A real conversation between @yangyi and an AI agent in NewMax. It starts with “could we build a service that listens for potential customers?” and goes all the way to a local app on the treg.to API: running real data, reworking the UI, adding English and Chinese, writing a setup guide for agents, and publishing it as open source on GitHub.
From yangyixxxx.github.io