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).
AI agents work in a black box—you get an answer, not the process, so you can't trust it or fix the one wrong step. Flowtrace turns a task into a graph your agent works through while you watch and steer. Every step writes a real file (it can't cite what isn't there), every run is git-versioned, and the next task of the same kind reuses the shape instead of starting from zero. Open source (MIT), built in Rust. Works with Claude Code, Codex, and Cursor—any LLM.
Hey Product Hunt 👋
I'm Jay — a scientist by training, so I've spent years caring about process, not just the answer.
That's exactly what's missing from how we work with AI agents today: you get an answer, but never the thinking. You can't see where it went wrong, can't fix the one bad step, and the method dies the moment the session ends.
So our team built Flowtrace. A "trace" turns a task into a graph your agent works through, step by step, while you watch and steer. Every step writes a real file you can open and check—so it can't hand-wave a result that isn't on disk. Stop at any node, change it, and everything downstream re-runs.
Open source (MIT), written in Rust, works with Claude Code, Codex, and Cursor (or any LLM).
Would genuinely love your feedback!
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About Flowtrace on Product Hunt
“Watch and steer your AI agent as a live graph”
Flowtrace was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #84 on the daily leaderboard. AI agents work in a black box—you get an answer, not the process, so you can't trust it or fix the one wrong step. Flowtrace turns a task into a graph your agent works through while you watch and steer. Every step writes a real file (it can't cite what isn't there), every run is git-versioned, and the next task of the same kind reuses the shape instead of starting from zero. Open source (MIT), built in Rust. Works with Claude Code, Codex, and Cursor—any LLM.
Flowtrace was featured in Software Engineering (42.6k followers), Artificial Intelligence (471k followers), GitHub (41.3k followers) and Tech (625.6k followers) on Product Hunt. Together, these topics include over 293.8k products, making this a competitive space to launch in.
Who hunted Flowtrace?
Flowtrace was hunted by Jie Ding. 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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