Launching today

Kairo

Launching today

Turn Kafka chaos into clean AI reports, automatically

6 followers

Turn Kafka chaos into clean AI reports, automatically

6 followers

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Kairo turns raw Kafka event streams into clean, AI-powered Markdown reports—batched with Redis and generated via LangChain in real time. - mdjamilkashemporosh/Kairo

Free

Launch tags:Open Source•Software Engineering•Developer Tools

Launch Team

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

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Maker

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Hey Product Hunt! 👋 I've been handling DevOps-related work for a while now alongside coding, and honestly, every error felt like a riddle wrapped inside a nightmare. You get an alert, you open the logs, and suddenly you're drowning — hundreds of events, timestamps flying by, no clear story, just noise. And somewhere buried in all of that chaos is the one thing that actually matters. I remember sitting there one night, logs open across three terminal tabs, completely lost — not because I didn't know what I was doing, but because the sheer volume of it made it almost impossible to see clearly. That helpless feeling of something is wrong and I can't find it fast enough — that one sticks with you. It's not just stressful. It's demoralizing. So I built Kairo. Born out of that exact frustration. It sits quietly in the background, consumes your Kafka event streams, batches them with Redis, and generates clean, structured AI-powered reports on a schedule — so instead of digging through raw logs, you get a clear summary, key metrics, and flagged anomalies waiting for you. No more 2AM log archaeology. No more guessing. Just clarity. Building this was deeply personal. There were nights I doubted it, moments I almost dropped it — but every time a clean report replaced what used to be overwhelming noise, I remembered exactly why I started. If you've ever felt that same exhaustion, Kairo was built for you. Try it, break it, tell me what you think. This is just the beginning. 🚀

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1d ago

RiteKit Company Logo API

That 2AM log archaeology feeling is so real — most DevOps teams have lived that nightmare. What you've built addresses a genuine pain point that gets worse as systems scale. The batching approach with Redis is smart too, since real-time firehoses often create the exact noise problem you're solving for.

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7h ago

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Promoted

Maker

📌

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1d ago

RiteKit Company Logo API

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7h ago