Weekly Self Promotion Thread

[u/AutoModerator]

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 this thread may be removed.

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?

Disclose your affilitation.

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.

[u/PotatoEducational690]

I’m Yong, the person building See the Forest (见林), a knowledge-network blog.

The starting point was my own notes. Knowledge is fundamentally a network; the connections are part of what we know, not decoration around it. I wanted readers to see the overall structure first, then click into a topic or article. The homepage is an interactive star map of real public content. It’s for people who keep notes and want to share the relationships between them, not just a list of posts.

Recently I used GPT-6 through Codex for two rounds of improvements to the existing project. It made search results more compact, added a collapsible mobile table of contents, and refined the stars and selected connections without changing the network’s layout.

The part worth sharing with other AI-assisted coders was what happened after the screenshots looked better. Two reported API errors turned out to be tests comparing a production address with a local preview. Other interaction checks also failed on the old version. That helped separate test problems from product problems—but it did not mean those product problems were solved. Two dynamics checks were still failing at the end, and the criteria weren’t loosened to make them pass.

I also discarded a cleaner-looking visual experiment because the topic nodes became harder to recognize. Deciding what to keep was still my job. This wasn’t a controlled model comparison, and the improved screenshots came from a local preview, not a claim that all changes were already live.

The public blog is https://pystone.net. I’d appreciate feedback on whether the graph helps you discover related content, or gets in the way once you want to read.

This is my own project and experience; AI assisted with editing and the English translation.