GeoBiz Analytics
Pick your business location with data, not guesswork
What it does
Get location feasibility scores for F&B and retail in Java, Indonesia in less then 60s. Powered by Google Places, OpenStreetMap, and AI-driven insights to help MSMEs grow.
Does the same job
all alternatives →- IMInteractive map of the convenience store "turf war" in Japan2024 · conbini.kikkia.dev · ▲114
Technologies used: Leaflet (frontend) Turf (Geojson generation and Voronoi generation) I noticed that my neighborhood is all Lawsons, so I got the location of all Conbinis and ran some basic analysis to see if these pockets of brand territory are common. I haven't worked much with web frontends before, so feedback is welcomed. I also have some ideas to maybe expand upon, like making the territory calculations based on streets and other geographical features rather than just beeline distance. The site isn't tested too much on mobile yet, but should be ok. Currently the frontend code and…
- MAMapHub – A Google My Maps Alternative, Based on OpenStreetMap Data2016 · maphub.net · ▲244
- SAStartupsBR – A map of Brazilian startupsJun 2026 · startupsbr.com · ▲54
I couldn't find a simple way to explore the Brazilian startup ecosystem geographically, as I can in other places like the Bay Area or London, so I built one. The map currently includes hundreds of startups from Sao Paulo and their job opportunities. The most interesting thing I've learned so far is how clustered startup activity is in a handful of areas. I'd love to hear your thoughts. The EN version: https://www.startupsbr.com/sao-paulo
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.
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, 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