Draw on Screen – a modern screen annotation tool with webcam

Hacker News

I built this tool because I needed to make YouTube Devlogs faster and annotating in DaVinci Resolve took hours. It allows you to annotate your screen (draw over other apps) and interact with your webcam in real-time (it supports up to 4 webcam configurations). The app was built from the ground up to reduce cognitive load to a minimum. All tools are spring-loaded and intuitive. Want to draw something? Just swipe. Want to write some text? Double-click. Want to zoom in on something? Scroll up. It's available for all 3 OS-es, and it's a one-time purchase that you can install on up to 5 computers. Free to try without a credit card. If you're a content creator or a story teller, I think you'll really like this tool.

Visit product View on Hacker NewsFeb 25, 2026

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

82%82% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, computer · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: intuitive · Missing: plus, platform, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

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