
StayNow — Multiplayer Travel Planner
Travel smarter. Plan together. Book cheaper.*
What it does
60% of group trips die in the chat — nobody wants to nag friends for dates, budgets, and vibes. Staynow fixes that with Angel Mode. Start a groupchat, flip Angel on, and step away. It DMs each person privately, pulls their preferences, spots conflicts (Sarah wants July 1st, Mike wants July 15th), and proposes fixes. Your dashboard fills up live, then Angel generates an itinerary built on real alignment — not the loudest voice. It's in beta. We'd love your feedback.
Does a similar job
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- TTTripJam – Travel group chat with collaborative map and itinerary2025 · tripjam.app · ▲6
We built TripJam after being frustrated with planning trips in regular group chats and trying to organize information across multiple apps. It combines: - Group chat that keeps all travel discussions in one thread - Interactive maps where everyone can pin locations and add notes - Collaborative itineraries that sync with your calendar - AI travel assistant that suggests activities and helps optimize your plans This solves trying to coordinate information with everyone using messages, Google Maps, Google Docs, and travel guides. Everything syncs in real-time so everyone stays on the same…



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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, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com