OneUptime
Open source observability with an AI SRE that fixes code
What it does
OneUptime replaces Datadog, PagerDuty, Statuspage, Pingdom and Sentry with one open-source app: uptime monitoring, on-call, incident management, status pages, logs, traces, metrics, APM and error tracking. New in this launch: an AI SRE. When an incident opens it correlates your logs, traces and metrics, finds the root cause, and opens a pull request with the fix — verified against your repo's own build and test commands before you see it. Apache 2.0. Self-host free, or use our cloud.
Detect outages in seconds, page the right engineer, update your status page, and ship the fix — open-source observability and incident management.
One platform for monitoring, observability & incident response. Investigates incidents with AI and turns findings into fix pull requests for your review. When things go wrong, be the first to know, and the fastest to fix. When something breaks at 2:47 AM, OneUptime catches it in seconds, pages the right person, updates your status page, finds the root cause, and opens the fix PR. Downtime costs you minutes, not customers. The one where an angry customer tells you you're down - and the one where the fix is already in review. The difference is what's watching while you sleep. 2:47 AM Rewind to where it started - the second kind of 3 a.m., minute by minute. Monitor every layer of your stack…from oneuptime.com
Does the same job
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- ONOneUptime (New Update) – Open-Source Datadog Alternative2024 · ▲8
ABOUT ONEUPTIME: OneUptime (https://github.com/oneuptime/oneuptime) is the open-source alternative to DataDog + StausPage.io + UptimeRobot + Loggly + PagerDuty. It's 100% free and you can self-host it on your VM / server. OneUptime has Uptime Monitoring, Logs Management, Status Pages, Tracing, On Call Software, Incident Management and more all under one platform. Updates: Several new monitor options launched - You can now monitor your SSL Certificates and Servers (Processes running, Mem, CPU, Disk, etc) Evaluate monitor metrics over time. You can set up alerts for…


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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com