Rabbit Hole
Dive into endless learning
What it does
Rabbit Hole is the ultimate app for endless learning, offering a wide range of topics to explore daily. Start from a topic and keep learning about adjacent topics. Join us to expand your knowledge and satisfy your curiosity.
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WonderingAug 2026 · wondering.app · ▲345Hey HN! I’m excited to show you my app that lets you learn any topic in a structured, bite-sized way. Each lesson has an audio version, some visuals, and interactive quizzes. They’re personalized to your background and goals, and you can pick a concept inside a lesson and ask it to go deeper. When my co-founder was at NotebookLM, he realized the biggest bottlenecks in learning are that people don’t have time or feel like they’re not smart enough. We wanted to see if software can take the mental load of figuring out what resources to use and what order to learn them in, and make lessons easy…
- RHRabbit Holes2024 · rabbitholes.wiki · ▲43
Built a way to spatially explore wikipedia topics! Enter a topic of your choice and dig into the rabbit hole. All content is from Wikipedia—related topics are generated with GPT based on the summary. Spacebar to expand a topic inline, arrow keys to move around, and "J" to open journey view!
- IBI Built a Site That Curates Weird YouTube Rabbit Holes Daily2025 · yourabbit.com · ▲59
I built Yourabbit.com — a site that curates hand-picked YouTube rabbit holes grouped by themes like quirky psychology, obscure tech, weird facts, and binge-worthy oddities. It’s not driven by the YouTube algorithm — every collection is themed and curated manually (for now), with a backend I’m automating to fetch and organize new rabbit holes daily. Built as a hybrid Astro + Next.js project, optimized for static generation and speed. I’m also pairing videos with custom summaries and commentary (using AI), and would love feedback from the HN crowd on: Content model (too wide? not specific…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 28d ago · cactuscompute.com
Source: Product Hunt launch ↗
