Bayesian Labs is a decision intelligence layer on top of your stack. Its Bayesian engine scores campaign risk in real time, predicts CPA drift early, and suggests autonomous actions with Shadow Mode to test changes before live spend. Built for buyers who want a co-pilot, not another dashboard. Includes market signals, creative scoring, waterfall analysis, and a lander studio for A/B/C/D testing.
Hey Product Hunt 👋
We built Bayesian Labs because scaling paid traffic felt increasingly blind. CPA drifts, segments decay, and by the time you react, the damage is already done.
We wanted a system that "thinks ahead", not just reports. So we built a decision intelligence layer that sits on top of your stack scoring campaign risk in real time, predicting CPA drift before it compounds, and suggesting actions you can actually take.
One thing we found while building this: most tools tell you "what happened*" Very few help you decide "what to do next". That became our core focus.
We also added Shadow Mode, so every change can be tested before touching live spend.
Would love your feedback, especially if you’re running paid traffic at scale. What’s the biggest blind spot in your current setup?
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About Bayesian Labs on Product Hunt
“AI-driven market intelligence for performance marketing.”
Bayesian Labs was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #51 on the daily leaderboard. Bayesian Labs is a decision intelligence layer on top of your stack. Its Bayesian engine scores campaign risk in real time, predicts CPA drift early, and suggests autonomous actions with Shadow Mode to test changes before live spend. Built for buyers who want a co-pilot, not another dashboard. Includes market signals, creative scoring, waterfall analysis, and a lander studio for A/B/C/D testing.
Bayesian Labs was featured in Marketing (462.7k followers), Artificial Intelligence (466.2k followers), GitHub (41.2k followers) and Tech (621.5k followers) on Product Hunt. Together, these topics include over 337.3k products, making this a competitive space to launch in.
Who hunted Bayesian Labs?
Bayesian Labs was hunted by Cagil Deniz Can. 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.
Want to see how Bayesian Labs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Cagil Deniz Can