Hollow – A Customizable Digital Workspace

Hacker News

The project is a modular, fully customizable digital workspace designed for those who want complete control over their tools. Instead of being locked into predefined workflows, it lets you create, style, and organize tools as cards that seamlessly integrate into your workspace. - How the Project Works Tools - the app's core functionalities are it's tools, for example a notebook, kanban, webview... Limitless Customization - Styling the tools as i refer to each instance of it a 'card' is a another core feature, from minimalist setups to complex multi-card workflows. Plugin System - Extend functionality with plugins, making it adaptable to your needs, developer can use the app's api to make plugins/tools for the app. - Why This Project? Unlike traditional productivity apps, this project doesn’t force a specific structure. It’s an open-ended system where you build your own tools, layouts, and workflows instead of adapting to someone else’s design choices. Whether you need a note-taking space, a task manager, or something entirely unique, the project adapts to you. - Check it out: https://github.com/hollow-app Would love to hear your thoughts, ideas, or feedback! Thanks a lot.

Visit product View on Hacker NewsJan 31, 2025

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

91%91% 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: apps, open · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, 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.

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

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

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

38%38% 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

11%11% 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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