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Have voice-only virtual coffees with fellow HN'ers

Hacker News

Have voice-only virtual coffees with fellow HN'ers

I'm running several voice-only virtual coffee events on the Discord server in the URL, only for today. The rules are pretty simple: 1. Wait for the "event" to start (see times at the end) 2. If there are no tables with 1 participant, join any one. 3. If there is a table with 1 participant, join that one. 4. When the event ends, all the voice channels are deleted and you have to wait till the next event starts. I initially wanted to build my own web app but then I realised it would be so much easier to just leverage Discord's infrastructure. I also built a bot in a couple hundred lines of Go code (love the language!) to bulk create/delete voice channels. I intentionally left it super basic to validate if there's a need. I personally would love to have virtual networking events, but then again I know I'm somewhat odd as I come from a sales background. If you're interested/want to take part in more of these events, check out my profile where I have some contact options. Anyway, here's the times (each lasts 1 hour): - 8 AM GMT / 1.30 PM IST / 12 AM PST - 11 AM GMT / 4.30 PM IST / 3 AM PST - 2 PM GMT / 7.30 PM IST / 6 AM PST - 5 PM GMT / 10.30 PM IST / 9 AM PST - 8 PM GMT / 1.30 AM IST / 12 PM PST - 11 PM GMT / 4.30 AM IST / 3 PM PST

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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, 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
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
34%34% 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, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
18%18% predicted probability of success on AppSumo, 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.

Incorrect prediction on native model

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