Free, Fast Screenshot App for macOS with One-Click Screenshot Sharing

Hacker News

Every day, I send a lot of screenshots. The default app on Mac is useless. I have to do so many steps: take a screenshot, save it, annotate it, save it as an image, then send it as an image in chats. It takes me a few minutes. But it should take just a few seconds. My second use case is sending feedback to my AI agents, and I’ve found they make much better edits when I provide comments and annotations on the screenshot. So I built this app. It lets me instantly capture screenshots, annotate them, and share them in one click. The same goes for any agent. It can do everything the native macOS screenshot tools can do, but better. It’s like a child of Figma and the native macOS screenshot app. Looking for a feedback

Visit product View on Hacker NewsAug 31, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, macos · Missing: cursor, claude, model

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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