Nobody should be on call. Polylane connects your code, infra and observability data, investigates every incident and opens a pull request with the fix. If code can't fix it, you get the root cause and a recommendation.
I built Baselime, an observability startup that was acquired by Cloudflare where I then led the Workers observability team. I have been advocating observability best practices for years, helping developers understand their app better. It was still not enough, I've lived and seen the pain of on-call way too much.
I'm now building Polylane, so you don't have to be on-call, a fleet of agents can do that for you.
Polylane connects your code, cloud infrastructure and observability data, and many other signals, to understand how your application actually runs. When something goes wrong, it investigates the incident and opens a pull request with a proposed fix for your team to review.
That same production context helps you:
- Catch risky code changes before they reach production.
- Get answers to production questions in Slack.
- Give your coding agents access to production context through MCP and the CLI.
Production changes require your approval, and code fixes go through your review and CI.
You can try Polylane today with the free plan. Connect your tools, and tell us where it helps or falls short.
What part of investigating an incident would you most want to hand off, and what evidence would you need to trust the result?
The team and I will be here answering questions.
About Polylane on Product Hunt
“AI agents that fix production before you wake up”
Polylane launched on Product Hunt on October 1st, 2026 and earned 147 upvotes and 24 comments, placing #5 on the daily leaderboard. Nobody should be on call. Polylane connects your code, infra and observability data, investigates every incident and opens a pull request with the fix. If code can't fix it, you get the root cause and a recommendation.
On the analytics side, Polylane competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Polylane performed against the three products that launched closest to it on the same day.
Who hunted Polylane?
Polylane was hunted by Boris Tane. 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.
For a complete overview of Polylane including community comment highlights and product details, visit the product overview.
Boris Tane
Hi Product Hunt, I'm Boris, founder of Polylane.
I built Baselime, an observability startup that was acquired by Cloudflare where I then led the Workers observability team. I have been advocating observability best practices for years, helping developers understand their app better. It was still not enough, I've lived and seen the pain of on-call way too much.
I'm now building Polylane, so you don't have to be on-call, a fleet of agents can do that for you.
Polylane connects your code, cloud infrastructure and observability data, and many other signals, to understand how your application actually runs. When something goes wrong, it investigates the incident and opens a pull request with a proposed fix for your team to review.
That same production context helps you:
- Catch risky code changes before they reach production.
- Get answers to production questions in Slack.
- Give your coding agents access to production context through MCP and the CLI.
Production changes require your approval, and code fixes go through your review and CI.
You can try Polylane today with the free plan. Connect your tools, and tell us where it helps or falls short.
What part of investigating an incident would you most want to hand off, and what evidence would you need to trust the result?
The team and I will be here answering questions.