Radarai
Discover AI tools, trends, and research signals
What it does
RadarAI is an AI news and trend tracking platform designed for developers, founders, and AI enthusiasts. It aggregates signals from AI communities to help users quickly understand what is happening in the AI. Instead of reading hundreds of sources, RadarAI surfaces the most important AI tools, models, and trends in one place. Use RadarAI to: • discover emerging AI tools • track AI research and model releases • monitor industry trends RadarAI helps builders stay ahead of the AI curve.
Does the same job
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- NRNews Radar, an experiment on generating news with AI2023 · github.com · ▲7
Hey folks! This is a project that I've been working in my free time for the past few months. It's a news aggregator that uses AI to select relevant articles and summarize them. The default sources are frameworks and libraries' updates, popular HN topics, and languages' subreddits threads that make past a certain threshold. You can run a local instance (needs an OpenAI key) and customize it with your own sources, and adjust the prompt as well. The resulting website can be browsed at https://dev-radar.com/ My next experiment will be with local news. I'm building some feeds with…
- WBWe built our own technology radarSep 2025 · technologieradar.tryresearchly.com · ▲8
A technology radar helps you monitor and assess emerging trends systematically. Depending on the context a “trend” can be technical, business-related or social. While such as a technology radar is traditionally reserved for big companies, we’ve found it’s just as valuable for us as a small startup, especially since AI is evolving rapidly (AI is one of our main technologies). The radar helps us track fringe-innovation (like the latest agentic framework form Github) and assess tech beyond the hype. We built it with our platform (Researchly), but in the post I have also included an N8N workflow…
- TTTopicRadar – Track trending topics across HN, GitHub, ArXiv, and moreJan 2026 · apify.com · ▲36
Hey HN! I built TopicRadar to solve a problem I had with staying on top of what's trending in AI/ML without checking 7+ sites daily. https://apify.com/mick-johnson/topic-radar What it does: - Aggregates from HackerNews, GitHub, arXiv, StackOverflow, Lobste.rs, Papers with Code, and Semantic Scholar - One-click presets: "Trending: AI & ML", "Trending: Startups", "Trending: Developer Tools" - Or track custom topics (e.g., "rust async", "transformer models") - Gets 150-175 results in under 5 minutes Built for the Apify $1M Challenge. It's free to try – just hit "Try for…
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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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
