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Screenrecorder.me – Make screen recordings directly in the browser

Hacker News

Screenrecorder.me – Make screen recordings directly in the browser

Hi HN, I've been working on this project for the last 5 months, inspired by Screen Studio but runs 100% in the browser. Here is a demo of the editor: https://www.youtube.com/watch?v=k7-etsFZgPI One of the big challenges of using the browser is getDisplayMedia, the API for recording screens, doesn't provide mouse coordinates for security reasons. Mouse coordinates are important for auto-focus animations. So I trained a YOLOv11 model to detect mouse cursors and I run inference in real time while you record. Also, I created my own Remotion-style renderer because I started with remotion and had a hard time adapting my particular codebase with to work with it as well as other challenges. It's great but I just had more success doing it myself for my use case, and it was an amazing learning experience. I have a youtube https://www.youtube.com/@codingbutclueless and a Discord: https://discord.com/invite/QpzFWgnsQH Thanks for checking it out. Let me know what you think.

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Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, model, recordings · Missing: mac, agents, macos
92%92% 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 · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
83%83% 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
65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · 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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