Vo

VoxDemo – Create demo videos with AI voiceovers

Hacker News

VoxDemo – Create demo videos with AI voiceovers

Hi HN! I’m launching VoxDemo, a browser-based tool to record your screen, add AI voiceovers, and fine-tune everything with a timeline editor. What it does: - Record your screen in the browser (no installs) - Add AI voiceovers (6 natural voices to start) - Use the timeline editor to cut, trim, and sync voiceover to the video - Share instantly via a link Why I built it: Creating narrated demo videos is tedious if you don’t like recording your own voice or wrangling heavyweight editors. VoxDemo aims to make clean, narrated demos fast. Current limitations: No “how it works” video yet, and since this is the MVP, I’ll be adding new features over time. Would love feedback on the workflow and what you’d want next. Feel free to comment here or use the feedback form on my site if that’s easier. Thanks!

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Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
95%95% 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
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% 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
46%46% 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
42%42% 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 · Strong signals: arr · Missing: mrr, revenue, profit
26%26% 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.

Correct prediction on native model

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