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Nbagent – Simple Nullboard backup agent for Unix systems
Hacker NewsNbagent – Simple Nullboard backup agent for Unix systems
Hello, HN! I'd like to introduce you to nbagent[0], an open-source alternative backup agent for Nullboard[1] for Unix systems. If you, like me, are a fan of Nullboard's simplicity and you've been looking for an easy way to have your data backed up, check it out. I'd love to hear your feedback on nbagent. Please feel free to leave comments, suggestions, or questions below. Thanks! [0] https://github.com/luismedel/nbagent [1] https://nullboard.io/preview
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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, open · Missing: mac, agents, macos75%75% 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 released59%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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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