UpBeat – an AI-Enhanced RSS/Atom Reader that only shows you good news
Hey everyone, I'm Sean, and I've built UpBeat. Why did I build this? Well, the world is more complex than ever, and every stream, device and social feed screams for our attention whilst telling us that everything is awful. While it's important to know what's going on in the world - do we really need to be bombarded with negativity 24/7? Absolutely not! It's bad for our mental health, it's bad for our attention spans, and it's bad for society as a whole. So that's why I built UpBeat - My friends, loved ones, and I needed a break from the doom cycle. So, here it is :) Some technical…
What it does
In the maker’s words, at launch
Hey everyone, I'm Sean, and I've built UpBeat. Why did I build this? Well, the world is more complex than ever, and every stream, device and social feed screams for our attention whilst telling us that everything is awful. While it's important to know what's going on in the world - do we really need to be bombarded with negativity 24/7? Absolutely not! It's bad for our mental health, it's bad for our attention spans, and it's bad for society as a whole. So that's why I built UpBeat - My friends, loved ones, and I needed a break from the doom cycle. So, here it is :) Some technical details, it's a macOS app built with Go using the Wails.io framework and it (currently) uses the Distilbert model which runs on the Apple Neural engine, so inference takes ~40ms.
Does the same job
all alternatives →- IBI built a tech news aggregator that works the way my brain doesOct 2025 · deadstack.net · ▲188
An honest to god, non-algorithmic reverse chrono list of tech news that passes my signal-to-noise tests, updated hourly. A lightweight a page design as I've been able to keep; simple, clean, fast. No commercial features or aspirations - this is a passion project, something I've been fooling around with on and off for decades. There's a "Top" view too with an LLM edited front page & summary, and categorized views for a large number of topics - see the Directory. A few more buried features to explore, but the fundamental use case is pop in, scan, exit - fast and concise. Your feedback would be…


- IJI just open sourced Muxamp, a streaming media playlist in Node.js2013 · github.com · ▲32
Hey HN! I've been working on Muxamp for over a year now, and I decided that there's no point in keeping the source closed. (I never planned on making money from it.) I've learned a lot since I started, and I hope others can benefit from its release--and perhaps teach me a thing or two as well :)
- IBI build a dedicated news site for AI developers (think HN for AI/ML)2023 · news.aiapipro.com · ▲8
Think of HackerNews, but only for AI content. Did build this out of the wish for easier discoverability of new technologies in the AI/ML space. Obviously, so far only a tiny small community, but maybe a few of you find it nice to be around and want to post a link there every now and then :)
- RMReview my startup : Risely – Filtering your social news2013 · ▲10
Link: www.rise.ly Hey guys, We just finished building our site, and would be very grateful if some of you guys could test it out. Basically, Risely is curation platform that filters the noise from your social stream and only shows you stories on topics you care about. You just need to connect your social networks and select your topics. Trending stories get bigger as they get more popular. We are in private beta right now, but I have made arrangements and you will receive an invite 5 or 10 minutes after you signup. Thanks
More ai this month
the category →
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, November 2025
the whole month →
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