An endless feed with history, science, tech., business
Right now it's a Nicotine patch for brain rot/doom scrolling. You still get the scroll, but with more meaningful content. WHERE I WANT IT TO GO: Users mark what they are interested in (e.g. AI, or Space or Whatever), and it should crawl the latest scientific articles, high quality YouTube videos, pods, present it in a format that fits you, in a nice feed. NOW: You can search for anything (e.g. "Sea Explorers" --> The app crawls Wikipedia or YouTube and pulls together a short feed (e.g. Columbus, Vasco da Gama etc.,). I'm using RAG so that I always can reference the original data source…
In plain words
An endless feed application that curates meaningful content from Wikipedia, YouTube, and scientific articles as an alternative to typical doom scrolling. Users search for topics or select interests like AI or space exploration, and the app aggregates relevant results into a personalized feed with sourced images and attribution. The tool currently pulls together curated content on demand and is developing toward a preference-based system that automatically serves new scientific articles, videos, and podcasts tailored to individual interests.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Right now it's a Nicotine patch for brain rot/doom scrolling. You still get the scroll, but with more meaningful content. WHERE I WANT IT TO GO: Users mark what they are interested in (e.g. AI, or Space or Whatever), and it should crawl the latest scientific articles, high quality YouTube videos, pods, present it in a format that fits you, in a nice feed. NOW: You can search for anything (e.g. "Sea Explorers" --> The app crawls Wikipedia or YouTube and pulls together a short feed (e.g. Columbus, Vasco da Gama etc.,). I'm using RAG so that I always can reference the original data source (feel that is key) Regardless of source, I'm pulling images from Wikipedia. Right now, this is the biggest struggle, as the quality and number of images per article is limited --> my articles doesn't come out as nice. Would really appreciate some feedback, especially if you tend to browse Wikipedia a lot
More ai this month
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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 · 27d ago · cactuscompute.com
Launched alongside, August 2025
the whole month →
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I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
Dev tools · 2025 · github.com
- IW
I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https://visualrambling.space/moving-objects-in-3d/ feel free to visit and let me know what you think!
Life & fun · 2025 · visualrambling.space
- TC
For HTML Day 2025 [1], I made a web service that displays the current sky at your approximate location as a CSS gradient. Colours are simulated on-demand using atmospheric absorption and scattering coefficients. Updates every minute, without the use of client-side JavaScript. Source code and additional information is available on GitHub: https://github.com/dnlzro/horizon [1] https://html.energy/html-day/2025/index.html
Dev tools · 2025 · sky.dlazaro.ca