I wasted 3 months building a tool that helps you waste even more time

Hacker News

I've built yet another thing the world probably doesn't need: "RabbitHoles" an open sourced AI-powered search engine for people who excel at procrastination and getting absolutely nothing done. Let me be real: I'm not claiming to have reinvented the wheel here. There are a lot of search engines out there. But I wanted to create something different, something that encouraged exploration and endless discovery. Why did I build it? Excellent question! Instead of doing literally anything productive, I decided to build a tool that enables others to waste time as efficiently as I do. It visualizes how different ideas connect, which is fancy talk for "I made my ADHD browsing habits into an app." So, what does it do? RabbitHoles lets you enter a topic, and then uses AI to generate related concepts and connections, visualizing them in an interactive mind map. You can click on nodes to dive deeper, uncover subtopics, and basically get wonderfully lost in the depths of knowledge. RabbitHoles creates interactive mind maps of connected topics, ensuring you'll never actually finish that important work project. Tech under the hood: Frontend: React, TypeScript, React Flow, Tailwind CSS Backend: Node.js, Express, Tavily, Google Gemini 2.0 Flash Check it out! Whether you're a professional time-waster, a chronic overthinker, or just someone looking for new ways to avoid productivity, RabbitHoles is here to enable your worst habits. Give it a try and let me know how many hours of your life you've successfully wasted! PS: If anyone asks, this is technically "learning" and "expanding your knowledge base," not procrastination. I'll die on this hill. Thanks for reading my manifesto on professional time-wasting. May your curiosity lead you far from whatever you're supposed to be doing right now! Check it out at https://rabbitholes.dojoma.ai

Visit product View on Hacker NewsFeb 23, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios, efficiently, gemini · Missing: supports, reddit linkedin, podcasting

96%96% 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, new, visual · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

13%13% 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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