An extremely powerful environment for vibe coding, allowing you to use web based chatbots (Claude/Gemini via aistudio/ChatGPT, etc) extremely efficiently while staying firmly in their terms of service. A whole lot of apps are provided as samples / templates, including a YouTube playlist app that not only allows a great YouTube experience without ads (also within terms of service!), but "Guitar Hero for piano" that works with a MIDI piano. So much more.
I've been refining this since ChatGPT first came out, just to streamline coding using the web interface. But at some point last year, it suddenly reached a "recursive self improvement" state where it made huge leaps forward. It was almost scary.
I've been trying to add all the right elements to make it a great environment for kids, newbies to coding, teachers, creatives..... everyone. I think it is there.
Check out the video on the site, it's long, but flip around in it if you need to. Lots of cool visuals, music stuff, etc.
The copy-paste automation angle makes sense as a starting point, the friction of manually finding the right function and replacing it is real. What I'm curious about is how it handles conflicts when the LLM changes a function that other parts of the codebase depend on. Does Recursi detect those downstream breaks automatically or does that still fall on the user to catch?
I'd like to know whether the self-improvement loop is mostly focused on code generation quality, or on helping the system build a better understanding of the project over time.
We've seen a lot of agent failures come from losing context between sessions rather than writing bad code in a single session.
I like that you're thinking abt beginners and kinds, not only experienced coders. That changes the product a lot. Does Recursi guide people toward a first small project or is it better for users who already know what they want to build?
The "no API fees" framing is interesting but the part I'd want to understand is what's actually happening under the hood. Are you running models locally, routing through your own hosted inference, or something else? That changes the tradeoff pretty significantly, especially for anything compute-heavy. Also curious what "self-improving" means concretely here, whether the environment is updating prompts and context based on your past sessions, or if it's something closer to fine-tuning on your codebase over time.
Does it retain what it learned about your codebase or does each session start fresh?
About Recursi on Product Hunt
“Self improving vibe coding env with no API fees”
Recursi launched on Product Hunt on June 5th, 2026 and earned 95 upvotes and 11 comments, placing #17 on the daily leaderboard. An extremely powerful environment for vibe coding, allowing you to use web based chatbots (Claude/Gemini via aistudio/ChatGPT, etc) extremely efficiently while staying firmly in their terms of service. A whole lot of apps are provided as samples / templates, including a YouTube playlist app that not only allows a great YouTube experience without ads (also within terms of service!), but "Guitar Hero for piano" that works with a MIDI piano. So much more.
Recursi was featured in Developer Tools (514k followers), GitHub (41.3k followers) and Vibe coding (519 followers) on Product Hunt. Together, these topics include over 96.1k products, making this a competitive space to launch in.
Who hunted Recursi?
Recursi was hunted by rob brown. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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rob brown