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Make better deepfake videos with lip sync and natural body gestures

Hacker News

Make better deepfake videos with lip sync and natural body gestures

I built a site that lets you easily make deepfake videos. They are accurately lip synced to any text you enter and even include the person’s natural body gestures. Here's a deep fake of Paul Graham talking about the site lol: https://deepfakes.lol/video/cll1kl1ab0000lb080soibder All you have to do is: 1. Choose a video. 2. Enter what you want them to say. 3. Get your lip-synced deepfake. Right now, you can only select from 10 celebrities. In the near future, you’ll be able to upload your own video file and create a deepfake from it. Would love to hear your questions/comments! Discord server: https://discord.gg/cE89GjJGSA Have fun! :)

Visit product View on Hacker NewsAug 8, 2023

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

66%66% 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 · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

57%57% 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: video · Missing: mobile apps, ios, personal

51%51% 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

40%40% 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

21%21% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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