200 tickets in. 8 specs out.
Obsidius reads your Jira, Slack, and GitHub feedback and writes implementation-ready specs — user stories, acceptance criteria, every claim linked to its source. Push them to Linear, Jira, or GitHub. Or straight into Cursor and let your AI agent build.
Don't take our word for it. Run it.
Three real feedback items. Click one. Watch it become a spec in ~30 seconds.
Click any item to run the pipeline
Your roadmap is already written. It's just buried.
The answer to “what should we build next” is sitting in 200 Jira tickets, 40 Slack threads, and a GitHub backlog nobody has read end to end. Reading it all is a week of work. So nobody does. Teams call the resulting guesswork “prioritization.”
Obsidius reads all of it. Before your next standup.
Three steps. No dashboard to learn.
Plug in Jira, Slack, GitHub, Teams, Notion, or Attio. Or paste text. Or upload a CSV. Read-only. Five minutes.
The pipeline classifies every item, clusters by underlying issue — not keywords — and ranks by frequency, recency, and urgency. ~200 tickets collapse to ~8 patterns.
Each pattern becomes a spec: problem, user impact, requirements, acceptance criteria, effort estimate. Every line traces back to the exact customer message behind it.
Specs land where your team already works.
No new tool to check. No dashboard to forget about.
Feedback comes out of Jira. The spec goes back into Jira. Your team never leaves their tools.
8 ways in. More coming.
Dev tools, chat, CRM, a messy spreadsheet, or a sales call. If your customers complained somewhere, Obsidius can read it.
Paste a call. Get the spec.
Customer discovery call, demo, churn interview — paste the transcript and Obsidius pulls the feature requests, pain points, and blockers into structured specs. Label the speakers and it gets sharper: customer asks become requirements, internal chatter gets filtered out.
e.g. “Sarah = customer, Mike = our AE”
The feedback from your best calls usually dies in someone's notes doc. Now it ships.
Connect one source. First specs in under five minutes.