
Qalibr
AI copilot turning messy bug reports into structured tickets
What this is
Reads full bug-report threads from Slack or other channels and turns real defects into structured tickets automatically, for QA and engineering teams.
Our one-line summary — not the founder’s tagline.
- How it works
- Reads the whole conversation, checks for duplicates, and drafts a ticket only when it's a real bug
- What's different
- Works from full thread context instead of just keywords or the last message
- Best for
- QA and engineering teams triaging bug reports from Slack, WhatsApp, email, or support forms
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 4 days
- Last checked
- 4d ago
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
AI. Launched 4d ago on PeerPush, where it placed #394. Today, it's live, but nothing on the site has changed since we started watching.
Quiet for 4 days — no penalty yet, but quiet doesn't stay free.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It placed #394 on PeerPush with 3 votes.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
Qalibr is an AI copilot for bug intake and triage. It reads the full conversation where a bug gets reported — not just the last message — and decides whether it actually deserves a ticket before anyone opens one. The problem it solves: the real cost of a bug report isn't the bug — it's everything around it. Someone has to read the thread, decide if it's even a real defect, check whether it's already open, chase the missing repro steps, write the ticket, route it, and then the person who reported it never hears back. Multiply that by every "hey, found a bug" across every channel, and that's where a QA or engineering team's week goes. How it works: A bug gets reported — natively in Slack, or pasted in from anywhere (WhatsApp, email, a support form, a ServiceNow ticket). Qalibr reads the whole thread and pulls the real signal, not just keywords. Similarity check — if it's already open, it links the duplicate instead of creating a new one. Judgment — classifies the report as a real bug, false positive, user error, missing context, or regression, the way an experienced QA engineer would, with reasoning and a confidence score attached. Enrich + route — a clean, complete ticket (environment, repro steps, expected vs. actual, evidence) gets created and routed to Linear. A human approves at the gate — nothing reaches the tracker without explicit sign-off. The judgment engine — the part most bug-tracking tools skip: duplicate detection alone is table stakes. What actually keeps a backlog clean is judgment — whether a report is real, whether it matters, and how severe it is. Qalibr's classification taxonomy is built from real QA practice and tunable with rules, so it triages the way your specific team would. Reporter loop: once a report becomes a ticket, the original thread keeps getting the updates that matter — status, routing, resolution — edited live into the same message. No separate dashboard to check, no "any update on that bug?" three days later. Built for: QA leads and engineering managers at SaaS companies running Slack and Linear (more trackers on the roadmap), dealing with high report volume and a growing, noisy backlog. Pricing (flat, no per-seat): Starter — $99/mo, up to 150 enrichments/mo, core intake + judgment + dedup. Growth — $249/mo (most popular), up to 500/mo, unlimited rules, full reporter loop. Scale — $599/mo, up to 1,500/mo, SSO, audit, advanced routing. 14-day free trial, no credit card required. Built by a QA lead of 15 years, shipped solo with AI agents — Qalibr runs the same product it sells. It's module one of a broader quality-intelligence platform: PR Intelligence, Release Intelligence, and QA Process Intelligence are next.
Where it launched
1 platform| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| PeerPush | 3 | sets the price | ↗ |
The board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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