Metoro
AI SRE that detects, root causes & auto-fixes K8s incidents
What it does
Metoro is an AI SRE for systems running in Kubernetes. Metoro autonomously monitors your environment, detecting incidents in real time. After it detects an incident it root causes the issue and opens a pull request to fix it. You just get pinged with the fix. Metoro brings its own telemetry with eBPF at the kernel level, that means no code changes or configuration required. Just a single helm install and you're up and running in less than 5 minutes.
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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.
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Launched alongside, April 2026
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Thought the resources for GPU arch were lacking, so here we are
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With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
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