
Rondinello
Plan trips fast: constraints → itinerary → booking.
What it does
Plan trips effortlessly with AI. Turn chaotic group chats into seamless itineraries in seconds.
Does a similar job
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- IBI Built an AI Holiday Planner for Instant, Expert-Level Itineraries2024 · planitly.com · ▲5
Hi HN, I'm Fran! I'm excited to share my latest project with you all. I built an AI travel planner that generates custom travel itineraries in seconds. Whether you're planning a weekend getaway or a month-long adventure, this tool can create a detailed, professional-level plan that includes day-by-day activities, hotels, restaurants, and more. As a frequent traveler, I wanted to create something that simplifies the overwhelming task of trip planning and ensures you make the most of your time at any destination. The AI considers various factors to provide recommendations that suit your…
- CACopilot2trip – AI Travel Assistant2023 · copilot2trip.com · ▲9
Hi HN, we're introducing Copilot2Trip (https://copilot2trip.com/), an AI-powered virtual travel assistant that makes travel planning as easy as having a conversation. We're solving the time-consuming process of travel planning that often becomes a frustration for many travelers. Copilot2Trip stands out for its rich-detail maps, conversational UI, multilingual capabilities, and adaptability. Our conversational UI allows you to create and adjust comprehensive travel plans in seconds, discover hidden gems in your own city, or even get inspiration for your next adventure. We…
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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 · 18d ago · simedw.com
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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, January 2026
the whole month →- IN
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
AI · Jan 2026 · cannoneyed.com




Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
