Vo
VoxChat – Anonymous Voice Chat Platform
Hacker NewsVoxChat – Anonymous Voice Chat Platform
I built a free, anonymous voice chat platform. You click "Start Chat" and get connected with someone from anywhere in the world. Features: - Completely anonymous (no accounts needed) - Voice-only - Age/gender preferences - Clean interface - Instant connection I tried existing platforms but they either weren't truly anonymous or had terrible UX. So I built something better. Would love feedback from the HN community!
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos65%65% 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, interface · Missing: plus, intuitive, reviews65%65% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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