ClipTask
Turns screen recording into structured, AI-generated tasks
106 followers
Turns screen recording into structured, AI-generated tasks
106 followers
ClipTask turns screen recordings into structured, AI-generated tasks. Record your screen, explain what’s wrong or what needs to change, and ClipTask extracts clear action items—each with its own clip, title, and summary—so your team can execute fast.
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Hey Stas! This is genuinely useful - the kind of tool that makes you wonder why it didn't exist five years ago.
It solves something I didn't realize had a name. I've been calling it "the Loom paradox" - the recording takes 5 minutes to make and 25 minutes to extract meaning from, which means it's faster for the sender and slower for everyone else. The fact that you're turning that into structured tasks with individual clips is a real unlock.
How does it handle the moment where someone backtracks mid-recording? "Actually wait, ignore that last part, the real issue is..." - does it catch the correction or does it dutifully create a task from the thing you were told to ignore?
Hey@lliora. Thank you for your comment. Love “the Loom paradox” 😄 That’s exactly what we’re trying to fix.
On the “actually wait, ignore that…” moment: today we handle it in two ways:
Context-aware extraction — the model considers the full narrative and will often drop/merge items that get explicitly corrected later.
Review before sending — you can quickly disable any task before exporting, so nothing “wrong” gets pushed into your workflow.
@stanislav_nikitin1 Smart approach - especially #2. Letting the user be the final filter means the AI doesn't need to be perfect, just useful. That's a better design contract than most tools aim for.
Looking forward to trying it on my next docs review session - I have a feeling screen recordings of documentation bugs are about to become significantly more actionable.
@stanislav_nikitin1 @lliora The review-before-sending step is quietly doing a lot of work here. Most tools that auto-generate tasks assume the output is fine to push straight through. Making human review the default instead of an optional extra feels like a smarter setup, especially when the recording is messy or someone changes their mind halfway through.
The "someone please turn this into tickets" problem is painfully real. I've sat through 20 min Loom videos where the actual bug is in the first 30 seconds and the rest is just someone thinking out loud.
For the integration question, Linear would be my pick. Most teams I know that move fast are already on it and the API is clean enough that you could probably push tasks there with minimal friction.
Does it work with live calls too or just recordings?
@mihir_kanzariya 100% agree. The bug is often in the first 30 seconds and the rest is just thinking out loud 😅
integrations: Linear is high on our list (clean API + the teams we talk to love it), so this is great confirmation.
On live calls: right now ClipTask is optimized for recordings (screen + voice). For live calls, the best flow is: record the call / share screen → then upload it through ClipTask.
Turning a screen recording into structured tasks is the kind of friction removal that sounds obvious in hindsight. Does it work with any app or only specific tools?
@kaito_builds Thanks! 🙌
Right now, we’re not directly integrated with tools like Jira/Linear yet. The current flow is: record + AI generates structured tasks inside ClipTask, and you can review/edit them.
Our roadmap is to support export/push to the most common task trackers (Jira, Linear, ClickUp, etc.) so tasks can land where teams already work.
Which tool do you use most? That’ll help us prioritize the first integration.
Very impressed! For teams with sensitive product info, how is data handled? Are the screen recordings and transcriptions stored on your servers, and if so, for how long? Can admins set policies like “auto‑delete after 30 days”? And do you support SSO for enterprise teams?