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Sava OS – A desktop interface for your web browser

Hacker News

Sava OS – A desktop interface for your web browser

Hello, I'm Owen, co-founder of Sava OS. I think you've heard this a thousand times by now; "We spend most of our time on the web browser, yet nothing has changed." And then a "revolutionary" product comes out that puts our links & tabs collapsed on the side, with some extra features. Magical, right :)? Well, we tried a lot of these products, and we also tried building one ourselves about 8years ago. But we felt like no UI can handle the same kind of organization our desktop can, and that's when the idea first came to our mind ~5years ago. For the past year, we worked on the side to build the MVP you see today. But along these years, a lot of thoughts kept popping up, and that's why this product has an OS in it's name (it's still cooking :). Unlike other desktop-like products that are accessible on the browser, Sava OS is not only built and made to run natively on the web browser, but it actually has some useful features to help with your browsing management - and that's only the beginning. There's still a lot to consider when it comes to shaping a modern, desktop-like UI that meets today's needs.. We’ve got some exciting ideas and aim to go beyond the traditional approach. We would really love to hear your take on this.

Visit product View on Hacker NewsOct 17, 2024

Actual performance

103points

83comments

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

93%93% 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.

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

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% 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

33%33% 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

17%17% 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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