Bloom – A Free Screen and Video Recording Software

Hacker News

I got tired of hitting arbitrary time limits when recording technical demos and tutorials. Most free screen recorders cap you at 5 minutes, which barely covers a basic code walkthrough. So I built Bloom – a simple, unlimited screen recorder that just works. What it does: - Unlimited recording time (no artificial caps) - Full resolution output without premium subscriptions - Camera selection and resizable webcam overlay - Cross-platform (Mac/Windows/Linux) - Completely free and open source v1.1.0 just shipped with a cleaner UI and the #1 requested feature: a " Open recordings folder" button that appears after recording. Small thing, but saves tons of time hunting for your files. For the presentation crowd: Perfect if you're doing technical talks, code reviews, or long-form tutorials where you need more than a few minutes to explain complex concepts. Built with Electron. Nothing fancy – just focused on solving the core problem of recording without limits. Download: GitHub: https://github.com/thepublicdev/bloom Installers: https://github.com/thepublicdev/bloom/releases/tag/v1.1.0 Would love feedback from fellow developers who've felt the pain of cutting demos short due to time restrictions.

Visit product View on Hacker NewsSep 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, recordings, code · Missing: agents, macos, agent

90%90% 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

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, code review, ide · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, reviews · Missing: plus, intuitive, host

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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 · Missing: web3, chat, crypto

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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