Chatting with AI coding agents burns context and time. Singularity replaces the chat with atomic tickets: one scope, one isolated Git worktree, minimal context. Run agents in parallel across repos, review the diff, merge. Free, local-first, bring your own key.
Hey Product Hunt 👋
I'm Antony, co-founder of Meteor Factory with Mehdi and Marine. I've spent 10+ years in DevOps and SRE, and over the last year I kept hitting the same wall with AI coding tools: the chat loop. Prompt, correct, re-prompt. The context fills up, the agent drifts, and you end up babysitting it.
So we built Singularity around a different unit of work: the ticket. One ticket gets one scope, one isolated Git worktree and only the context it needs. You can run several agents in parallel across many repos, get a native notification when one finishes, review the diff and merge.
A real week of use for us: 227 tickets shipped, 86 features, 11 projects, up to 8 agents at once, and about 2 messages per ticket.
What you get:
• Code editor, terminal, Git and a ticket board in one desktop app
• Works with Claude, Codex, Copilot and Gemini, using your own API key
• Your code stays on your machine, only LLM calls go out
• Free core: unlimited agents, projects and worktrees
It's in beta, so we'd love your honest feedback: what breaks, what's missing, and how it compares to what you use today. We'll be here all day answering questions.
the 2 messages per ticket number is the part I'd want to pressure-test before trusting this. that's believable for self-contained tickets (add a field, fix a lint rule) but the tickets that actually eat my time are the ones where the fix touches three files I didn't expect and the agent needs a round of "no, not like that" before it lands. does the isolated-worktree model hold up when 8 parallel tickets turn out to overlap in the same file, or is the merge step where all the actual babysitting just moves to instead of disappearing?
Can tickets depend on each other, or does each agent always work independently?
About Singularity on Product Hunt
“Run AI coding agents in parallel, one ticket at a time”
Singularity launched on Product Hunt on October 3rd, 2026 and earned 69 upvotes and 12 comments, placing #23 on the daily leaderboard. Chatting with AI coding agents burns context and time. Singularity replaces the chat with atomic tickets: one scope, one isolated Git worktree, minimal context. Run agents in parallel across repos, review the diff, merge. Free, local-first, bring your own key.
Singularity was featured in Productivity (663.5k followers), Developer Tools (521.5k followers) and Artificial Intelligence (481.6k followers) on Product Hunt. Together, these topics include over 390.3k products, making this a competitive space to launch in.
Who hunted Singularity?
Singularity was hunted by Antony KERVAZO CANUT. 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 Singularity stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Antony KERVAZO CANUT