I made a lifetime free screen and camera recording app

Hacker News

Screen recording should be free but simplicity nowadays often comes at a price. Lot of people are currently paying for the basic ability to record their screens and camera. I believe that capturing your ideas, presentations, and tutorials using a screen recorder should be accessible to everyone on the internet! This should be as free as the air we breathe. Checkout the app here - < https://gan.ai/videorecorder > Major features available in Gan.AI app are - * Record 30 minute long videos completely free (Loom only allows 5 minutes) * Unlimited recordings and transcription (Current tools cap it at 25) * Free customizable landing page with each video (Add your brand logo, colors, links) * A simple editing interface to trim and crop * AI based subtitle generation * Option to add background music / sounds * Access individual-level video analytics This is a part of my bigger project but mainly I wanted to make screen / video recording free and available for everyone. Future features that I plan to work on: * Record longer than 30 minutes video * AI based video editing (removing hmm.. , filler words automatically) * AI based video trimming and stitching as well * Reel / Youtube Short styled subtitles Open to hear more suggestions and any feedback from the HN community. We also launched on ProductHunt today, so if you like the initiative, please upvote here - < https://www.producthunt.com/posts/studio-by-gan-ai-recorder >

Visit product View on Hacker NewsJul 12, 2024

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3points

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

91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on AppSumo, 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

59%59% 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

44%44% 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

20%20% 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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