DoShare Personal Cloud

Hacker News

We've just launched the next generation of personal cloud at DoShare, today we're excited to announce the first milestone in our journey of revolutionising cloud storage solutions, this is our first stable release on web, the v1, we call it (The Skywalker - a Star Wars reference) Feature set is currently basic and works well for daily chores among with supported usage for creative tasks. Our team has built the first version with care for creatives and personal usage. We've more plans in pipeline for the December release including Assistant and End to End Encryption along with cross device clients Plans start at INR.19($0.2)/mo for 50GB, we're opening exclusive invite for the next 1000 people to join us in building a better, secure and safer cloud. Checkout the plans and pricing at https://getcloud.doshare.me . If you're interested in trying out Public Beta of Android or Desktop ( Windows, Linux and MacOS) Clients please shoot us a mail . We'd love to talk and incorporate your feedback in the Personal Cloud. Would love to get feedback on the launch. All plans have 7 day free trial, so feel free to register.

Visit product View on Hacker NewsSep 24, 2025

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

81%81% 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: including · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, pipe, 000 · Missing: https docs, just released, exist

37%37% 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

24%24% 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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