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Product Hunt Screencap

Turn your team's real workflows into AI training data

129
Traction Score
19
Discussions
Jul 31, 2026
Launch Date
View Origin Link

Product Positioning & Context

Screencap records how work actually happens: screen, clicks, keystrokes, window context and teams can use it to turn real workflows into structured datasets for automation and AI training. Consent and privacy are enforced while recording so most sensitive apps are blocked before anything is written, and every trace is scrubbed and reviewed before it leaves a machine. macOS, open source. Try it solo with a free trial, or talk to us about a team pilot.
Productivity SaaS Artificial Intelligence

Related Ecosystem & Alternatives

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Deep-Dive FAQs

What is Screencap?
Screencap is a digital product or tool described as: Turn your team's real workflows into AI training data
Where did Screencap originate?
Data for Screencap was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Screencap publicly launched?
The initial public indexing or launch date for Screencap within our tracked developer communities was recorded on July 31, 2026.
How popular is Screencap?
Screencap has achieved measurable traction, logging over 129 traction score and facilitating 19 recorded discussions or engagements.
Which technical categories define Screencap?
Based on metadata extraction, Screencap is categorized under topics such as: Productivity, SaaS, Artificial Intelligence.
What are some commercial alternatives to Screencap?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Capso, which offers overlapping value propositions.
How does the creator describe Screencap?
The original author or development team describes the product as follows: "Screencap records how work actually happens: screen, clicks, keystrokes, window context and teams can use it to turn real workflows into structured datasets for automation and AI training. Consent ..."

Community Voice & Feedback

[Redacted] • Aug 1, 2026
Solo use is what I am curious about here. Does it work without the team cloud sync, or is that required to actually generate the training data? I would want to capture my own editing workflow locally. Share specific clips deliberately, not just have everything go up automatically.
[Redacted] • Jul 31, 2026
Blocking sensitive apps is a denylist, and denylists fail open. The internal tool nobody's heard of, or anything sensitive that lives in a browser tab rather than its own app, gets recorded because it wasn't on the list, and you find out when someone reads the trace. An allowlist captures far less and makes the pilot conversation much shorter, which for the buyer you're going after is probably the better trade.
[Redacted] • Jul 31, 2026
the always-on framing is the appealing part but also the scary part for me. when you're on a call and someone shares their screen, or a client shares something confidential over zoom, is that captured too since it's on your display, or does it only ever record your own local apps? if there's a quick pause hotkey for exactly that moment i'd trust this a lot more day to day.
[Redacted] • Jul 31, 2026
The framing of turning real workflows into training data is clever, but I would probably use this first to document how processes actually happen on our side versus how we think they happen. Everything staying on the Mac until you choose to share is what makes that feel safe. What does the exported dataset look like in practice, structured steps with clicks and window context or raw video plus metadata?
[Redacted] • Jul 31, 2026
You asked what it would take to leave it on all day. Honest answer: nothing in your privacy section, because that is not where the fear lives.Blocking banking and password managers protects me from a leak. It does nothing about the thing people actually worry about, which is what the recording gets used for later.Consent to be recorded is not consent to be compared. The day someone can ask how long I take on a workflow versus the person next to me, this stops being team memory and becomes a performance review with a video attached. Nobody says that out loud. They just quietly stop recording the messy days and record the tidy ones, and then your dataset is a fiction.So the guarantee I would want is about use, not storage. Traces can build automations. Traces cannot be queried per person.Is that a boundary you would be willing to make explicit in the product?
[Redacted] • Jul 31, 2026
Congrats on the launch Rute!
[Redacted] • Jul 31, 2026
Hey - congrats on the launch! How do you get consistent labeling out of messy real usage? Real workflows are noisy next to curated demos.
[Redacted] • Jul 31, 2026
Blocking password managers and banking at record time is the right instinct, and it's the easy half. The harder half is the app that's fine 95% of the time. A CRM is a perfectly normal thing to record right up until someone opens a customer record, and no app level blocklist catches that.Is there anything working at the content level rather than the app level, or is the review step before upload doing that job? Asking because "I have to review every clip" is the thing that quietly kills daily use.
[Redacted] • Jul 27, 2026
Hey people!We built Screencap mainly because knowledge inside teams keeps getting lost. Sometimes it lives in someone's head, and when that person leaves, it leaves with them. And even when nobody leaves, teams that move fast rarely remember every step it took to get something done. So when it's time to repeat a workflow, we lose hours trying to reconstruct what we did before. What if the things that matter had permanent memory?That's what Screencap is: a screen recorder for your Mac that keeps everything on your device and makes your work searchable, by you and by your AI tools if you connect them. Sensitive stuff like password managers and banking is blocked while recording, so it's never even written to disk. Nothing leaves your Mac unless you choose to upload it, and even then it's scrubbed and you review it first.We still have a lot to improve, and that's exactly why we're launching now. We want to build this together with a community and shape the path forward with the people using it. It's also why we're completely open source. And we're committed to making it accessible to everyone, not just technical people: download, hit record, done.Honest feedback means a lot to us. What would you need to trust a tool like this enough to leave it on all day?

Discovery Source

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