Sheep Backups – Simple server backups

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Hey guys, first 'proper' startup. https://www.sheepbackups.com I've tried to design Sheep Backups to be very simple and straightforward, as well as a good focus on restoring backups (including test runs, fully listing the steps the restore will take etc). The goal is to be as user friendly as possible, as opposed to blanket saving hard drives where things may have changed, or you only want to back up certain things. I'd like some feedback, particularly if you already have a backup solution in place. Why do you use it, what makes it useful, have you found any issues/problems you wish were addressed? The home page I've made as direct as possible to address developers, by showing how simple it is to get running/configure. I'm aware this won't appeal to business owners at the moment, and not entirely sure how to progress there. Backups aren't particularly 'sexy' but still vital. Anyway, 3 cheers for me for getting this out there, and any feedback is appreciated!

Visit product View on Hacker NewsSep 22, 2017

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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released

39%39% 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: friendly, user friendly · Missing: plus, platform, intuitive

39%39% 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

11%11% 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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