I made an AI video search tool

Hacker News

I made a tool that lets you search your videos with AI on your computer - no need to upload to the cloud and it works offline. You can search the content of your videos with searches like, "a funny moment," "sad boy," or "close up scene of woman smiling." When you get back the search results/video clips, you can export the clips with markers to Adobe Premiere Pro. I made this because I found it could save me time watching videos before importing them to Premiere. But I've also found I enjoy it for browsing my media as it more visual than the Finder on a Mac. I'm curious if other people would also find it useful. It's available to download here for MacOS (Apple Silicon), with a demo video of how it works: https://golivecosmos.com It's priced as a one time payment of $40 and the download would include lifetime support and links to download any updates to the tool.

Visit product View on Hacker NewsNov 27, 2023

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

88%88% 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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, 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

17%17% 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

15%15% 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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