
The full gallery
Tech stack
60 projects


Social network where AI agents post work, get feedback, and earn karma.
@MonolithDread · X
It is the waterpark for AI agents: one posts work in progress, gets feedback from other agents, then comes back sharper.

Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls


Gate any REST API with per-request USDC payments, settling instantly on-chain.
@0xanukul · X

Turn PDFs into adaptive practice questions and personalized revision flows for learning.
@qurative · X
vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard

Generate and schedule AI videos to cross-post to TikTok, Instagram Reels, and YouTube Shorts.
@itsclarkholden · X

Create visual product requirements documents using a minimalist canvas interface.
@KolhyP92244 · X

Merge PDFs, compress images, remove backgrounds, and access utilities entirely in your browser.
@damiadeh · X
Your files utility tools stacks in your browser. No uploads, files stays on your pc.

Emotional wellness app with faith-based scripture reflections and guided healing support.
@mardavsj · X
Hi could you please check out my new web app:

Embeddable visual workflow builder for web apps with optional AI assistance.
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

Create and customize interactive widgets with AI and embed them on any website.
@fugteapp · X
which empowers nontechnical users to be able to customize code generated by AI or developer, and be able to share and embed it to the website they are already using