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Traser helps AI engineers investigate bad runs. Compare runs, cut through noisy trace differences, and narrow down where the behavior started to diverge. Works across evaluation, beta, staging, and production.
Hey everyone, I’m Tussa, founder of Traser.
I started building Traser because I kept running into the same problem while working on AI systems myself: the trace was there, but figuring out which part of the run actually mattered still meant manually digging through everything. Talking to other engineers confirmed it wasn’t just my workflow.
You end up going through tool calls, state, retrieval, retries, handoffs, and outputs trying to figure out where behavior started to diverge.
Traser is my attempt at making that investigation smaller. You give it a suspicious run, optionally compare it against other runs, and it narrows the trace down to a few evidence-backed places worth checking.
I’ve talked to other engineers while building it, and one of the biggest lessons was not to pretend the tool can magically determine root cause. The engineer still decides that. Traser’s job is to reduce how much of the run you have to inspect before you know where to start digging, so you don’t spend an entire afternoon debugging.
It’s free to try, runs locally in your browser, and doesn’t require an SDK or production instrumentation just to get started.
Would love feedback from anyone building agents or AI workflows, especially if you have a weird failed run you can throw at it. I’m just as interested in where it gets things wrong as where it helps.
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About Traser on Product Hunt
“Find where your workflow first went wrong.”
Traser was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. Traser helps AI engineers investigate bad runs. Compare runs, cut through noisy trace differences, and narrow down where the behavior started to diverge. Works across evaluation, beta, staging, and production.
Traser was featured in Software Engineering (43.1k followers), Developer Tools (519.8k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 214.8k products, making this a competitive space to launch in.
Who hunted Traser?
Traser was hunted by Tussa. 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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