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Working Async – The new wave of remote work is async-first

Hacker News

Working Async – The new wave of remote work is async-first

After living in multiple countries around the world and working remotely, I discovered that the best working cultures are asynchronous ones. An asynchronous working culture is a model where team members collaborate and complete tasks on their own schedules, without needing to be online at the same time or respond instantly. This means employees can work when and where they please for maximum productivity, often times companies who have succesfully implemented async communication have teams with employees across the globe. I created a job board dedicated to curating these types of jobs because I strongly believe that async communication will be a standard for many job types in the future. You can check out the site here: https://workingasync.io Right now there are over 400 jobs listed (including roles from companies like DuckDuckGo, GitLab, and Docker). I’m planning to add new features over the coming weeks, and have update the blog regularly. Feedback is very welcome!

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, dock, new · 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, including · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: created, including · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% 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
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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