GitHub
Super Duper cOOL
What it does
A lightweight, open-source AI-powered log analyzer that runs locally. It ingests log files or stdin, parses common formats, detects anomalies, clusters events, and produces human-friendly summaries using open-source models without proprietary APIs.
Does a similar job
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Better LoggerDec 2025 · betterlogger.app · ▲90Modern MacOS Log viewer for iOS developers with MCP support

- SYSuperlog (YC P26) – Observability that installs itself and fixes bugsMay 2026 · superlog.sh · ▲74
Hey HN, we’re Nico and Arseniy, co-founders of Superlog (https://superlog.sh). We're building a self-installing, self healing observability tool meant not to be opened. It has a wizard that daily sets up proper logging and an agent that investigates errors and opens PRs. Super short demo: https://www.youtube.com/watch?v=xFhU9Mk247M. In our earlier startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. Proper telemetry and alerting still requires a ton of manual setup. We struggled with adding good logs, so debugging was tough, especially as…
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Years ago I stumbled across a basic version of this concept and it stuck with me. I knew if I was ever going to take on such a project, it would need to be flawless, but without coding experience it was just another idea that would never happen. By the end of 2024, as AI coding tools exploded everywhere, I finally had a way to make it real. I started from zero knowledge and spent months collaborating with AI agents as a learning experience. Every pixel and every function went through me. The AI translated what I asked for into code, but every decision was human. I didn't use existing OS…
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