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WhyLab is an AI incident investigator built on GPT-6 Astra. Upload your model's predictions and Astra hunts for the root cause — ranking hypotheses, running falsification experiments on held-out data, and proposing a fix it then re-tests. No guesses presented as facts.
Hey Product Hunt 👋
I built WhyLab because I kept seeing the same failure mode in ML projects: a model looks great on a held-out test set, ships, and then fails in ways nobody can explain — and the "explanation" that eventually gets written up is usually just a plausible story, not a proven one.
For the GPT-6 Astra Challenge, I rebuilt WhyLab around a rule I wouldn't let myself break: Astra is allowed to propose hypotheses, but it is never allowed to be the thing that confirms them. Every claim WhyLab shows you is backed by a statistical test run on data Astra never saw when it made the guess. If a hypothesis doesn't survive that test, WhyLab says so — "insufficient evidence" is a real, displayed outcome, not a bug.
A few things I'm proud of under the hood:
Astra orchestrates real diagnostic tools via function calling — it's planning an investigation, not narrating a dashboard
Every hypothesis test uses proper stats (confidence intervals, significance testing, correction for testing multiple hypotheses) with hard sample-size floors
The Repair Lab always shows before/after on the same held-out data, including metrics that got worse — no cherry-picking the win
Would love feedback from anyone who's fought this exact problem in production. And if you've got a favorite "my model was great until it wasn't" war story, I want to hear it in the comments.
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About WhyLab on Product Hunt
“Find why your ML model fails, prove it, repair it”
WhyLab was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #94 on the daily leaderboard. WhyLab is an AI incident investigator built on GPT-6 Astra. Upload your model's predictions and Astra hunts for the root cause — ranking hypotheses, running falsification experiments on held-out data, and proposing a fix it then re-tests. No guesses presented as facts.
WhyLab was featured in User Experience (368.4k followers), Education (79.2k followers), Artificial Intelligence (479.1k followers), GitHub (41.4k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 221.3k products, making this a competitive space to launch in.
Who hunted WhyLab?
WhyLab was hunted by Varun Kalotra. 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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Varun Kalotra