vibeticketing
The AI layer behind the next generation of events
What it does
VibeTicketing is an AI infrastructure layer that lets event organisers create events using natural language. It automatically turns descriptions into fully structured events published in seconds. Currently connected to TicketLime, VibeTicketing saves organisers time by enabling one event to be published across multiple ticketing platforms without repetitive setup. The future is multi-platform publishing at lightning speed.
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- APAI-Powered Music Creation Starts Here – Vibe Musicing2025 · vibemusicing.com · ▲6
VibeMusicing is an AI-based music creation platform designed to help music enthusiasts, producers, content creators, and even those without any musical background easily generate high-quality music. Whether you need background music, song ideas, or want to explore cutting-edge music AI technology, VibeMusicing offers a convenient and powerful solution.
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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
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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Automatic AI-powered code reviews the moment you open a PR
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