This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
DAG-chat renders LLM conversations as a DAG. Branch from any message, explore tangents, and merge threads back into your flow. The front-end visualizes the topology like a mind map — you see the structure of your thinking, not just a wall of text. Works with any OpenAI-compatible API, runs in the browser, and self-hosts in minutes. I built this because linear chat UIs don't match how my brain works.
Hey PH 👋
Backend engineer here. Built DAG-chat because my brain doesn't think in straight lines — it branches. This is a web UI that renders LLM chats as a DAG: branch anywhere, explore tangents, merge them back. Front-end draws it like a mind map.
Try it:
git clone https://github.com/ZM-BAD/DAG-ch... → add API key → npm run dev
One honest question: After months of using this, I can't tell if the branch/merge flow feels like a superpower or just extra complexity. Would love your unfiltered take.
Demo video in the gallery if you want a preview before cloning.
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About DAG-chat on Product Hunt
“A visual DAG for AI chats. Branch and merge.”
DAG-chat was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #142 on the daily leaderboard. DAG-chat renders LLM conversations as a DAG. Branch from any message, explore tangents, and merge threads back into your flow. The front-end visualizes the topology like a mind map — you see the structure of your thinking, not just a wall of text. Works with any OpenAI-compatible API, runs in the browser, and self-hosts in minutes. I built this because linear chat UIs don't match how my brain works.
DAG-chat was featured in Open Source (68.4k followers), User Experience (365k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 131.3k products, making this a competitive space to launch in.
Who hunted DAG-chat?
DAG-chat was hunted by 周铭. 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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周铭