Airspace – async communication for remote teams

Hacker News

Hi HN, I've been working on Airspace: https://tryairspace.com It emails your team once each day (at the start of their working day, in their timezone) to ask what they're working on. Then it keeps all the answers in one place for everyone on the team to see. Team members can also discuss work (organised by projects), and all of these discussions are async. Real-time chat has its place, but I personally find it quite interruptive and can pull my focus away from deep work. I built Airspace to help remote teams work on their schedule, and to give them the freedom that comes with having long stretches of uninterrupted, focused time. I'd love to know what you think.

Visit product View on Hacker NewsMay 25, 2020

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

70%70% 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.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: personal, answers, way · Missing: mobile apps, ios, entrepreneurs

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, 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.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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