Alternatives
Products that do what Superlog (YC P26) – Observability that installs itself and fixes bugs does
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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Hey HN We’ve been building Logdash as a lightweight observability tool for side projects and prototypes. Most logging/metrics tools (Prometheus, Grafana, ELK...) are amazing, but feel like overkill when you're just hacking on something small. Logdash gives you: - Real-time logs and custom metrics - Zero config (no YAML, no setup) - One tiny SDK to drop in - Hosted UI with live dashboards We use Logdash to monitor Logdash — our own prod dashboard is public here: https://logdash.io/demo-dashboard Would love feedback, ideas, or questions!
2025 · logdash.io
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Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
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Hello I'm Jack, I was previously a Site Reliability Engineer and i've been working on monitro.dev which makes log monitoring simple for individuals or small teams. It allows you to easily forward any logs to multiple channels such as Slack, Discord & Telegram. The events are also viewable though the admin dashboard and are easily filterable. Currently there is only an NPM package with javascript / typescript support but i have plans to expand this to other languages such as Python, Rust etc. The package has many options, one of them is forwarding any uncaught exception and as an event…
2024 · monitro.dev
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Hi HN, I'm Kaushik, and I built Rocketgraph. I believe that while other spaces have caught up to the AI wave, the observability space is still lagging behind, using the same tools and dashboards that we use to analyse logs from human-written code. But now the code is written and debugged by AI, so we need to rethink how we do observability where the observer itself is an AI. The problem that I run into is when an alert fires, I have to manually check the Grafana dashboards and write LogQL queries, which is pretty much like greping. But production usually breaks due to a schema mismatch, or a…
Jun 2026 · github.com
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Hi, Prastik & Gaurab here. We’re building Jod(https://jodmcp.com), a project that grew out of our own frustration with current troubleshooting and observability workflows. Jod lets you chat with your logs to debug issues, generate on-demand dashboards, analyze service health, and monitor with ease, all from a single chat window. You can ask things like: “Why did latency spike last night?” “Show me 5xx errors from the payments service.” “Create a time series graph showing error counts for the last 6 hours.” ..and Jod will pull, summarize, or even visualize the answers for you.…
Nov 2025 · jodmcp.com
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Hi HN, we’re Dylan and Matthew, building sublingual (https://github.com/sublingual-ai/sublingual), an open-source LLM observability tool you can use with zero code changes. As developers focused on iterating and building features as fast as possible, we felt observability would’ve been a helpful tool to have, but we found existing solutions had too much overhead to set up. So we gave ourselves the challenge of building an observability tool that you can integrate without changing a single line of code in your project. How it works Run your python application as usual with…
2025 · github.com
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Hey HN! We're Ben and Izak, the cofounders of Vigilant. Vigilant is a lightweight tool for managing structured logs. It lets you centralize your logs, search them, and create alerts. We used Cloudwatch for logs on our last product, and it was quite painful. Even basic searches felt tedious. We’ve used dedicated observability tools at past jobs, but most of them have a steep learning curve and require widespread integration (and some still feel clunky). With Vigilant, we're focused on making logs feel fast and simple. We operate at the application layer with an sdk. We're trying a unique…
2025 · vigilant.run
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LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!
2023 · github.com
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Mar 2026 · github.com
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Hey Hackers, I was building multiple projects lately, and integrating logging was way too much for me. Managing self hosted ELK stack, or using existing log monitoring services (running their agent was consuming hell of resources on my tiny servers). It took me a day to code my own logging server, and client for python projects (serving as python packages - pypi), named it HueLogs. Sharing with you all, please feel free to contribute if you like. I might be adding a npm package for javascript client if I get chance to code tomorrow. Few features too add: - 30 min, last day logs etc. -…
2024 · github.com
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