One year of bewCloud (a simpler Nextcloud alternative)

Hacker News

It's been over a year since I started working on bewCloud and 11 months since I posted the first Show HN [1]. Many things changed (check the commits [2] or the video updates [3] for more details), we've got one recurring sponsor, and recently the GitHub repo [4] passed 400 stars! We also just launched a new option to buy access to a managed instance. If you have any suggestions, comments, or recommendations, I'd love to hear about it. Thank you for your attention and kindness. I really appreciate it! [1] https://news.ycombinator.com/item?id=39726172 [2] https://github.com/bewcloud/bewcloud/commits/main/ [3] https://www.youtube.com/@bewCloud [4] https://github.com/bewcloud/bewcloud

Visit product View on Hacker NewsFeb 21, 2025

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

65%65% 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: started · Missing: supports, reddit linkedin, podcasting

63%63% 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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: recurring · Missing: arr, mrr, revenue

20%20% 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.

Correct prediction on native model

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