WhereToMove
Compare London neighbourhoods with real data before you move
What it does
WhereToMove.io helps you decide where to live in London. Compare neighbourhoods on safety, transport, schools, rent, air quality, and deprivation using 15+ official UK data sources, or search any address to see what's nearby. Free to explore.
Does the same job
all alternatives →- AWA website that heatmaps your city based on your housing preferences2025 · theretowhere.com · ▲321
For the past few months, I've been working on a website that answers two different questions: - Where in my city have the best travel times to all the things and people I care about? - Given a listing, how far is it from all the things and people I care about? Personally this was fueled by my own frustrations when I was apartment hunting in NYC. I was frustrating to have to juggle so many Google Maps tabs when I was evaluating a listing, and it was also annoying to not have full confidence that I was even searching in the right places. I wanted to be close to work, a Trader Joe's, and a…
- WDWhereHop, data-driven travel recommendations2017 · ▲7
Hi guys, wanted to show my (few) weekends project: http://wherehop.com A free app for you to basically see the best neighbourhoods to live in in many cities around the world. It uses data pulled from various sources to rank the best areas to live. Let me know your thoughts and how it can be improved.
- TBThe best time to visit any city2017 · ▲395
I wanted to build a tool to help people decide when and where to travel. As I started building, I realized that "when" and "where" need separate treatment to be most useful. The map tool handles "where" best: https://championtraveler.com/travel-weather-map/ Clicking through each week would be frustrating for those who know where they want to travel but not when. For these people I built "best time to travel" pages using the same data. https://championtraveler.com/best-time-to-travel/ My hope is this site will help travelers plan. This data is taken…
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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…
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