A fast and fluid digital scratchpad (yet another note-taking app?)

Hacker News

Hi Hackernews! There are countless tools for taking notes and collecting ideas, but I think there's still room in the market for "digital scratchpads". I created Bubbles for people who like to think and jot down their budding ideas and thoughts. From what I've learned, most people still use Notepad, Apple Notes or a collection of super random tools. Notes and screenshots are scattered everywhere. I'm sure HN readers also often use Obsidian or other similar apps. So what's different? - Optimizing for speed - quick to add ideas without having to worry about organizing them - "Notepad + Miro" - Documents and canvases natively combined - Fluid non-linear user interface - any note can be inside any other and it's super easy to navigate between them and find what you're looking for. The tool is still in very early phase, but it's already been personally useful for brainstorming, collecting thoughts and processing them into some kind of output, like a project plan, a blog post, an email.. I've also collected notes for 10+ years, so being able to finally connect some of those has been great. There's not much in the way of onboarding, so also very interested to see how much can be understood just by using the tool. To come: - Vector search - PDF and multimedia support - Collab mode - Import from other tools Would love to get some feedback, I know you guys are a tough audience.

Visit product View on Hacker NewsMar 18, 2025

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

85%85% 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: created · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% 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

9%9% 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.

Incorrect prediction on native model

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