Comet Events – Community Calendar with Chat for Clubhouse

Hacker News

Hey HN Community! I'm Keshav, one of the founders of Comet Events [withcomet.com/events]. Clubhouse has changed the way we interact & learn from each other online. We wanted to enhance the Clubhouse event experience & help creators grow their community. For admins: With Comet events, you can host a beautiful landing page & calendar for your Clubhouse community. Moderators can easily manage & grow an RSVP list to keep the conversation going. Members who RSVP can ask questions & share notes on our chat tool. For the audience: It's super easy to join events with chat. All you do is go to e.cmt.bz/join & enter a 5 digit code. Try one from here events.withcomet.com/leaderboard Whether you want to start a club or audio course, Comet Events helps you manage everything, all in one place. Hope you find it useful! More info: https://twitter.com/Ke5havRao/status/1359208945852637186

Visit product View on Hacker NewsFeb 12, 2021

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

80%80% 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 HuntUnlikely to reach the leaderboard · Strong signals: notes, code · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

33%33% 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

30%30% 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 · Missing: arr, mrr, revenue

11%11% 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, audio · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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