My

My solution for automating backups using Borg

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My solution for automating backups using Borg

I have been using this collection of scripts to manage borg backups across my handful of servers I have at my homelab with some success. I started these scripts before knowing about borgmatic, but by then they were already mature and did what I wanted in a simple and concise manner. It was also a very important opportunity for me to put in practice a bit of good practices when using bash to the best of my knowledge. Hope that sharing this will help others use borg, understand bash scripts and/or motivate to create their own open repos automating their personal processes to share with the rest of the community. Disclaimer: I've been using Claude and more recently DeepSeek R1 14b distill with aider to derive the README instructions. If you guys see any issue in the README, please do report! Thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, using, open · Missing: mac, agents, macos
67%67% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% 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.

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