PixelForge.art – Leveraging Whisper to verticalize 16/9 YouTube videos

Hacker News

Hi there! I've been a YouTube content creator during few years (50k subs, ~5M views) and I realized that many creators on the platform have their content stolen and republished on TikTok, Instagram Reels or YouTube Shorts for monetization purposes. I built PixelForge to tackle this problem. The tool allows content creators to work on their horizontal video as they usually do. But once the video is published, they can quickly generate tiktoks/shorts/reels without having to go through the tedious process of video editing again.

Visit product View on Hacker NewsMar 14, 2023

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5points

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

75%75% 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.

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

64%64% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

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

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

50%50% 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: ide, io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

24%24% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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