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Serverless reverse geocoding for WebMCP, ESP32, and RP2040

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I built Galuchat, a compact reverse-geocoding system that works without an external geocoding server or API.The same basic approach can be used in:Browsers WebMCP ESP32 RP2040 / RP2350 JavaScript / C++ / Java / PythonThe basic idea is to store the administrative-boundary data locally and perform the lookup directly on the device, instead of sending every coordinate to an external API.Rather than storing the original polygon data as-is, Galuchat converts administrative regions into a very large raster segmentation image.The raster uses resolutions ranging from roughly 10 m to 1 km per pixel. It is then compressed into a binary representation small enough to be embedded in MCU flash or downloaded as a single dataset by a browser.Some actual dataset sizes are:Japan-wide administrative boundaries ~1.1 km resolution: ~52 KiB ~111 m resolution: ~479 KiB ~11 m resolution: ~4.47 MiB Place-name dictionary: ~31 KiB Worldwide administrative boundaries ~1.1 km resolution: ~2.81 MiB ~111 m resolution: ~20.45 MiB Place-name dictionary: ~561 KiB Japan-wide administrative + town-block / small-area data ~11 m resolution: ~24.07 MiB Place-name dictionary: ~1.66 MiB Total: about 26 MiBThis makes several kinds of use possible:Embedding a Japan-wide administrative-area dataset of only tens or hundreds of KiB directly into a small MCU Running more detailed offline reverse geocoding on ESP32-class devices with larger flash Downloading a worldwide dataset once in a browser and then processing large numbers of coordinates locally without external API calls Using the detailed Japan dataset to resolve locations below the municipality level entirely inside the browserFor example, a GPS-enabled embedded device can determine the administrative area for its current latitude and longitude without Wi-Fi or cellular connectivity.The same applies in a browser. Once the GIS dataset has been loaded, individual coordinates do not need to be sent to an external service. Large GPS logs can therefore be processed locally without per-request API calls or service rate limits.This means that even worldwide administrative-boundary data can be embedded in MCU flash or downloaded into a browser and queried locally.WebMCP can use the same local dataset as well, so an AI agent can call the reverse geocoder directly inside the browser without relying on an external geocoding service.Demo and documentation: https://nyatla.github.io/galuchat/Source: https://github.com/nyatla/galuchat-gis-sdkI originally started this project as an experiment to see how small a practical geographic lookup dataset could be made.It eventually became small enough to run on microcontrollers, so I extended the same approach to browsers and WebMCP as well.

HN · launched Sep 2, 2026 · 5 upvotes (top 87%) · 0 views

Niche: specialized algorithms and computing libraries · 230 launches, 4 in the last 7 days ▼ -73% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial Standard web geolocation wrappers are simple, but fitting spatial indexing and boundary data into microcontrollers like the ESP32 and RP2040 without an API is an algorithmic and data compression feat.

What it would actually take: The project requires highly compressed administrative polygon datasets (using techniques like quadtrees, geohashing, or hierarchical spatial indexes) optimized for extremely tight RAM/flash limits (e.g., <264KB RAM on RP2040). The hard piece is implementing efficient point-in-polygon ray-casting and spatial tree traversal in bare-metal C/C++ with minimal memory footprint and zero external dependencies. It requires expertise in computational geometry, GIS data reduction, and embedded systems programming.

Discussion

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Competitors

Other products that read as similar to this one : 77 launches clear the similarity bar, closest 8 shown.

Attention rank: #74 of 78 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 237 days after the earliest competitor.

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