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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Transit
Subway maps of your data.
π Turn distributed traces, GitHub Actions runs, and coding-agent sessions into animated NYC-subway-style maps: GIF, MP4, or an interactive page you can drop in Slack. Fully local, no telemetry. An agent skill for Claude Code, Codex, and Cursor.
Hi Product Hunt! I'm Israel, a full-stack engineer and heavy AI coding-agent user.
I built Transit because debugging traces in a waterfall tells you what happened, but doesn't help you show anyone. So I made traces, CI runs, and agent sessions render as animated NYC-subway-style maps: services are lines, spans are stations, slow calls get a DELAY marker, and errors get a SERVICE ALERT, placed where the failure starts, not on every downstream span.
Key bits:
π Three skills: request-transit (OTLP/Datadog/PostHog/X-Ray/Tempo traces), ci-transit (GitHub Actions runs), agent-transit (Claude Code/Codex/Cursor sessions)
π Fully local: no telemetry, no tracking, nothing leaves your machine
πΌ GIF, MP4 (deterministic, frame-exact), or an interactive page you can drop in Slack
π¦ One install: npx skills add israelvicars/transit -g -a claude-code -a codex -a cursor
Try it on your own data and tell me: does the map show you something the waterfall didn't? π
Happy to answer anything about the rendering, the skill format, or the local-only design.
About Transit on Product Hunt
βSubway maps of your data.β
Transit was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. π Turn distributed traces, GitHub Actions runs, and coding-agent sessions into animated NYC-subway-style maps: GIF, MP4, or an interactive page you can drop in Slack. Fully local, no telemetry. An agent skill for Claude Code, Codex, and Cursor.
On the analytics side, Transit competes within Open Source, Developer Tools, Artificial Intelligence and GitHub β topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Transit performed against the three products that launched closest to it on the same day.
Who hunted Transit?
Transit was hunted by Israel Vicars. A βhunterβ on Product Hunt is the community member who submits a product to the platform β 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 Transit including community comment highlights and product details, visit the product overview.