4K
4K lip-sync from a 12-word prompt–V2A beats my 2023 render farm
Hacker News4K lip-sync from a 12-word prompt–V2A beats my 2023 render farm
I used to queue 6 hrs on a 4090 just to get dialogue that still floated half a second late. Last week I swapped the entire pipeline for Google’s Veo 3 running behind a 6-line FastAPI wrapper; now the same 30-second spot drops in 18 s with 99 % mouth-match accuracy. No timeline, no keyframes—just text → mp4 with synced sfx baked in. Benchmark repo and the wrapper are MIT on GitHub, plug your key and roast my latency numbers. Live demo at https://veo-3.app/
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Did not reach leaderboard
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best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: pipe · Missing: https docs, excited, just released49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive25%25% 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, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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