Bits – Content-Agnostic Personal Storage

Hacker News

Hi HN! I've been working on a startup project called Bits: https://bitsdrive.com Bits is a personal storage drive that lets you store different kinds of content - from text, lists, code, files, photos and videos, links and more. I've been a big user of Google Drive, but it frustrated me that these Drives didn't have a super easy way to just write stuff down. You either have to use yet another app, or even worse create files to remember small things. Bits brings both storage and note-taking worlds into a simple to use app. I would love for you to check it out at https://bitsdrive.com Currently, I'd mark my project at Alpha stage, and thus the reason to post on HN. I'm looking for a few interested people to join the site, and help use it. There are still lots of features to be made, and some neat experiments to be done with Bits, so I'm personally super excited. I'd love to hear your feedback, and happy to talk about the technical details.

Visit product View on Hacker NewsMar 22, 2017

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

83%83% 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: google, user, code · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% 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 · Missing: plus, platform, intuitive

36%36% 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

12%12% 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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