Vorta – A Boring Open Source GUI for BorgBackup (Attic)

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Borg[1] is a very capable backup tool, I use on all my servers. It does the advanced stuff that's needed for backups today. Like encryption, deduplication, compression and validation. There was no complete GUI[2] for it, so I made one. It's intentionally built on a boring stack to keep it simple and basic. It should just sit there, do backups and let you know when something breaks. It's also open source because I wouldn't trust a backup tool that isn't. Development is still early, but it should be stable enough for regular use. Bugreports, feature ideas and PRs welcome. Link: https://github.com/borgbase/vorta You can back up to any SSH account that has Borg installed, or try my hosted Borg repo service, which also does neat stuff like alerting of stale backups, as well as isolated- and append-only repos.[3] 1: https://borgbackup.readthedocs.io/en/stable/ 2: https://github.com/borgbackup/borg/issues/2960 3: https://www.borgbase.com

Visit product View on Hacker NewsNov 8, 2018

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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.

Incorrect prediction on native model

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