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Osuite: Anomaly detection
Catches what your alerts miss, then finds the cause and fix
Alerts only catch what you predicted. Osuite's new Anomaly Detection watches every service and deploy, and an agent vets each detection so you only hear about the ones that need you. It investigates on its own, links every claim to evidence, hands the fix to Claude Code, Cursor or Codex, and re-checks the evidence once the release ships. It learns your normal from every call you make, so it gets quieter over time.
That's the trouble with alerts: they only catch what you predicted. A brand-new error slips under every threshold until a customer tells you.
So we built Anomaly Detection into Osuite.
→ It watches every service and deploy. An agent vets each detection before it reaches you. In the demo stack, fourteen were fine and one needed a human, so that's the only one you hear about.
→ It investigates on its own. In the demo in the video, it found the cause in 74 seconds: 48 database queries per order instead of 1. Every claim links to the chart, trace or query behind it, and you can question it in chat.
→ One click hands the fix to Claude Code, Cursor or Codex.
→ When the fix ships, it re-checks the evidence before calling it fixed.
→ It learns your normal. Every call you make (Expected, Not worth it, Detector wrong) teaches it what needs you, so it gets quieter over time.
One question for you: what's the last incident your alerts missed? We'd love to know whether this would have caught it.
About Osuite: Anomaly detection on Product Hunt
“Catches what your alerts miss, then finds the cause and fix”
Osuite: Anomaly detection was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #153 on the daily leaderboard. Alerts only catch what you predicted. Osuite's new Anomaly Detection watches every service and deploy, and an agent vets each detection so you only hear about the ones that need you. It investigates on its own, links every claim to evidence, hands the fix to Claude Code, Cursor or Codex, and re-checks the evidence once the release ships. It learns your normal from every call you make, so it gets quieter over time.
On the analytics side, Osuite: Anomaly detection competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Osuite: Anomaly detection performed against the three products that launched closest to it on the same day.
Who hunted Osuite: Anomaly detection?
Osuite: Anomaly detection was hunted by Malay Hazarika. 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.
For a complete overview of Osuite: Anomaly detection including community comment highlights and product details, visit the product overview.
Malay Hazarika
At 9:40, a deploy broke checkout. No alert fired.
That's the trouble with alerts: they only catch what you predicted. A brand-new error slips under every threshold until a customer tells you.
So we built Anomaly Detection into Osuite.
→ It watches every service and deploy. An agent vets each detection before it reaches you. In the demo stack, fourteen were fine and one needed a human, so that's the only one you hear about.
→ It investigates on its own. In the demo in the video, it found the cause in 74 seconds: 48 database queries per order instead of 1. Every claim links to the chart, trace or query behind it, and you can question it in chat.
→ One click hands the fix to Claude Code, Cursor or Codex.
→ When the fix ships, it re-checks the evidence before calling it fixed.
→ It learns your normal. Every call you make (Expected, Not worth it, Detector wrong) teaches it what needs you, so it gets quieter over time.
It's live now. Try it on one service: osuite.io
One question for you: what's the last incident your alerts missed? We'd love to know whether this would have caught it.