JumpAsync – Bye scheduled meetings, hi asynchronous video collaboration

Hacker News

Hi Show HN, I'm really excited to share a project I have been working on, JumpAsync.com. The idea of building a tool like this came about when I was working in a team as a software engineer. My coworkers and I were working from opposite parts of the world and found it difficult to attend scrum ceremonies synchronously. I decided to build a tool for teams to work remotely across timezones, without distractions and the need for scheduled meetings. Send a link with an agenda, the team participates by recording screen share and talking head videos at their own time, and interact with comments and reactions. If you're like me, you probably don’t enjoy spending hours on video conferencing and Zoom meetings. I encourage you to try it out if this looks interesting. Thank you and I’m open to any feedback.

Visit product View on Hacker NewsSep 19, 2022

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3points

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Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos

91%91% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

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

42%42% 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

16%16% 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.

Incorrect prediction on native model

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