This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Lookspan
Local-first observability for AI agents — one command
Lookspan is local-first observability for AI agents. npx lookspan runs a dashboard on your machine — traces with a timeline/waterfall, a readable transcript per LLM call, cost & latency, plus replay, LLM-as-judge and datasets. MCP-native, OpenAI/Anthropic drop-ins, OpenTelemetry. Your prompts never leave your box. MIT.
Hi PH 👋 I'm Jonathan, I built Lookspan. Every LLM observability tool I tried was SaaS — account, cloud, per-event pricing — before I could see a single trace. Lookspan is the opposite: npx lookspan → local dashboard, data stays on your machine, $0 infra. Beyond tracing it closes the loop: replay a prompt against another model and diff cost/latency/output, score with an LLM-judge, run datasets in batch. MCP-native, one-line OpenAI/Anthropic drop-ins, OTel receiver. MIT & early — I'd love feedback on what's missing. Thanks for checking it out!
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About Lookspan on Product Hunt
“Local-first observability for AI agents — one command”
Lookspan was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #116 on the daily leaderboard. Lookspan is local-first observability for AI agents. npx lookspan runs a dashboard on your machine — traces with a timeline/waterfall, a readable transcript per LLM call, cost & latency, plus replay, LLM-as-judge and datasets. MCP-native, OpenAI/Anthropic drop-ins, OpenTelemetry. Your prompts never leave your box. MIT.
Lookspan was featured in Open Source (68.5k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.6k products, making this a competitive space to launch in.
Who hunted Lookspan?
Lookspan was hunted by Jonathan Martín. 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.
Want to see how Lookspan stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jonathan Martín