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Obyflow
Find out what broke, before your users do
Obyflow — AI-native, CLI-first observability for tracing and debugging LLM apps, chains, and vector stores.
I built Obyflow because debugging AI applications gets difficult once traces, LLM calls, vector searches, errors, and framework steps are scattered across different places. Obyflow brings them together so you can understand what actually happened in an AI workflow.
It’s open source, supports Node.js and Python, and I’m hoping to get feedback from developers building with LLMs. Try it out, break it, and let me know what you think.
About Obyflow on Product Hunt
“Find out what broke, before your users do”
Obyflow was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #93 on the daily leaderboard. Obyflow — AI-native, CLI-first observability for tracing and debugging LLM apps, chains, and vector stores.
On the analytics side, Obyflow competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Obyflow performed against the three products that launched closest to it on the same day.
Who hunted Obyflow?
Obyflow was hunted by Anupam Kumar. 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.
Anupam Kumar