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Saneops
Cut on-call alert noise 80% with AI-drafted RCAs
Alert middleware for SRE teams. Saneops correlates Grafana/Datadog/PagerDuty alerts into single incidents, deduplicates flapping pages, and drafts an LLM root-cause analysis before paging on-call. Self-hosted via Docker for regulated workloads. BYOK LLM — your alert data never leaves your stack. Free 60-day closed beta — 1,000 alerts/month, no credit card. Built by an engineer who got tired of 3 AM pages for problems that didn't matter.
Hi Hunters,
I'm Om — solo founder, ex-on-call. Built Saneops because I watched a 4-person SRE team slowly stop opening their pagers.
The reason wasn't laziness. It was math. When 89% of pages are noise — flapping monitors, duplicate alerts from three different tools for the same incident — you eventually learn to mute. Then the one page that actually mattered sits unopened for an hour while production burns.
Saneops sits between your monitoring stack (Grafana, Datadog, PagerDuty, Prometheus) and your humans. Three things it does that current tools don't:
1. Correlates related alerts into a single incident using label-match + semantic similarity. 27 alerts from one outage become 1 incident.
2. Drafts a first-pass root-cause analysis with YOUR LLM key — Anthropic, OpenAI, Gemini, Ollama, whatever. Your alert data never leaves your stack. BYOK isn't marketing fluff — it's the only way I'd trust an AI tool with production telemetry.
3. Self-hosts via Docker. If you're regulated and can't send alert payloads to a SaaS, run Saneops on your own infra.
In one beta tenant: 11% of pages were actionable before. 70% after 30 days. Same incident volume — different psychological relationship with the pager.
Free 60-day closed beta. 1,000 alerts/month. No credit card. Looking for 10 design partners who'll tell me what's broken about it.
Genuinely brutal feedback welcome — especially from anyone who's been on-call long enough to have stories.
— Om
saneops.in
About Saneops on Product Hunt
“Cut on-call alert noise 80% with AI-drafted RCAs”
Saneops was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #53 on the daily leaderboard. Alert middleware for SRE teams. Saneops correlates Grafana/Datadog/PagerDuty alerts into single incidents, deduplicates flapping pages, and drafts an LLM root-cause analysis before paging on-call. Self-hosted via Docker for regulated workloads. BYOK LLM — your alert data never leaves your stack. Free 60-day closed beta — 1,000 alerts/month, no credit card. Built by an engineer who got tired of 3 AM pages for problems that didn't matter.
On the analytics side, Saneops competes within Developer Tools, Artificial Intelligence and Operations — topics that collectively have 986.3k followers on Product Hunt. The dashboard above tracks how Saneops performed against the three products that launched closest to it on the same day.
Who hunted Saneops?
Saneops was hunted by Om prakash 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.
For a complete overview of Saneops including community comment highlights and product details, visit the product overview.
Om prakash Kumar