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Voximity – gather everyone, without crosstalk

Hacker News

Voximity – gather everyone, without crosstalk

Most of the time I spend with friends and family is online because we like to get on Discord and play games together. All of the time I spend with co-workers is online because I work at a remote company. But as these online social gatherings got bigger, I started to loathe them. Everyone wants to get together in the same room because it's fun, like a big party! But once there's more than one topic of conversation, the crosstalk becomes unbearable. It's like trying to socialize over a conference call. This is what Voximity aims to solve, in the simplest way I could think of. Voximity allows everyone to get together and have many different conversations naturally by mimicking what it's like to hang out in person, like in the olden days. You can see it in action here: https://voximity.chat/ . I would greatly appreciate your feedback!

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
75%75% 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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
41%41% 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 · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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, cryptocurrency
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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