Alternatives
Products that do what CaliVibe – Compare CA cities & counties does
One map to compare housing, crime, climate across California
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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…
2025 · theretowhere.com
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I've been working on this project for about 4 years. It began as terrain only because world wide elevation data was publicly available. I then added buildings from OpenStreetMap (crowd sourced) and more recently from Overture Maps data. Some computer vision/machine learning advancements [1] in the past few years have made it possible to estimate tree canopy heights using satellite imagery alone making it possible to finally add trees to the map. The data isn't perfect, but it's within +/- 3 meters of so. Good enough to give a general idea for any location on Earth. Happy to answer…
2024 · shademap.app
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2015 · statisticalatlas.com
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This was something I built while trying to look for housing in Toronto that was decently transit-accessible to my office while still cheap. The backend is written in Rust. It parses public GTFS data from transit agencies and performs a simple heuristics-based BFS on the bus lines to calculate how long to reach all points in a city. The frontend uses React and Mapbox GL to render each individual road segment based on how long it takes to reach. This project was a great excuse to learn Rust, deployments, and mapping. The source code is here if you are interested:…
2023 · map.henryn.xyz
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2024 · safemap.io
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2015 · github.com
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Hi HN, I made a web game to practice country locations a while ago and HN liked it, so I thought I'd post my updated version as well. As for how the game works and feels, I'd really recommend you checking it out for yourself, it's free, no signup, no ads. The tech stack is Vue + ts + Tailwind/Daisy for the looks. The learning algorithm is a slight modification of the ts version of FSRS. If you have anything to add, it's open source as well (https://github.com/koljapluemer/learn-worldmap), although not well documented yet. In the end it's just a little sideproject,…
2025 · map.koljapluemer.com
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Simulate anything on a map from a text prompt -- and conduct risk analysis against LiveUA map's global realtime data points from social media and news sources. I trained a GPT-2-size model on historical incident data used to predict things that will go wrong. As historian Benjamin Breen mentions, the leading language models are good historians, so the application will simulate historical events pretty well also. I include a Multi-Agent RL Urban Mobility model in progress displayed on the map as small white cubes representing traffic and pedestrians. Around SF, it uses real census data and…
2025 · mused.com
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I wrote a tool in Python that finds the school district associated with any given street address in the United States. Here’s how it works: An address corresponds to a single point on the map. The U.S Census Bureau has a geocoder that converts an address to latitude and longitude coordinates. School district boundaries can be represented as polygons on the map. The National Center for Education Statistics (NECS) has geographic data on school district boundaries. Once we determine which polygon the point resides in, we know the school district.
2024 · github.com
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There's been a lot of discussion around the california budget and some proposed tax policies, so I asked claude code to research the budget and turn it into an interactive dashboard. Using async subagents claude was able to research ~a dozen budget line items at once across multiple years, adding lots of helpful context and graphs to someone like me who was starting with little familiarity. It still struggles with frontend changes, but for research this probably 20-40x's my throughput. Let me know any additional data or visualizations that would be interesting to add!
Feb 2026 · california-budget.com
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A curated collection of authoritative and non-authoritative datasets in a OpenStreetMap-compatible format and data model. For now there is just a draft specification and PoC for Madrid.
2022 · yaom.org
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We have another election coming up at the end of this month here in the Netherlands, and how we use our limited land is a hotly debated topic. Last year also I shared this animated hexagonal map of Dutch land use. I've now expanded this to include several more European countries, so you can see what makes Dutch land use so special - or not. If you want to help add more countries, I'd appreciate PRs on GitHub. The map rendering is already there, it only requires land use data which can be found in the SQLite database (at least for EU countries). Github:…
Oct 2025 · onsland.koenvangilst.nl
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We posted a couple of months ago and you all seemed to like what we're putting together. Since then we've added a lot! -Editorial articles -Explore cities by filter -Saved & Grouped comparisons -Many more data points and higher quality data
Mar 2026 · whythere.life
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2022 · lafrance.enchiffres.fr
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2022 · whereshouldilive.co
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