MultiDrive – a free app to clone, backup, erase drives (UI/CLI)

Hacker News

Hey HN! I'm the CTO at Atola Technology, and we have launched MultiDrive: a free disk backup/clone/wipe tool that does things differently. After 17 years of work with drives, I got tired of seeing simple disk operations locked behind paywalls. Macrium killed their free version, EaseUS hides cloning in paid tiers, and so on and so forth. Another reason is that all the existing solutions are overly complicated. It must be simple enough for my mum to start erasing a USB stick or making a full drive backup. All in all, we thought the community deserved better. What makes MultiDrive different: - Dead simple launch of a full drive backup, clone, erase or restore - 100% free. No ads, "upgrade to pro" popups - Standard formats. Backups use ZIP or RAW, no proprietary .afi/.tib nonsense - Handles bad sectors, loose cables, can pause/resume any operation - Parallel drive tasks - CLI app as an addition for workflow automation Would love your feedback! What problems with disk operations have you had that current tools couldn't solve? We're building our roadmap based on real pain points.

Visit product View on Hacker NewsJul 29, 2025

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Launch Intel predictions

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

58%58% 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.

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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