nowfound

AI · December 16, 2024

AO

Atlas of Water Science via generative AI

This is our Atlas of Water Science. It's a globe mapping water science that colleagues have done over the past few years. Approx 300 papers got analyzed. The pipeline sends open access papers to an LLM asks the LLM to extract areas relevant to science in a form suitable for a geocoder, then we use a geocoder to get lat lons. When things happen in the same spot we jitter the locations a bit to differentiate things. gpt4o-mini was used for most of the analysis. Some of the features on the website are directly invented by Claude. There are some errors when geocoding went wrong or locations were…

What it does

In the maker’s words, at launch

This is our Atlas of Water Science. It's a globe mapping water science that colleagues have done over the past few years. Approx 300 papers got analyzed. The pipeline sends open access papers to an LLM asks the LLM to extract areas relevant to science in a form suitable for a geocoder, then we use a geocoder to get lat lons. When things happen in the same spot we jitter the locations a bit to differentiate things. gpt4o-mini was used for most of the analysis. Some of the features on the website are directly invented by Claude. There are some errors when geocoding went wrong or locations were extracted incorrectly. We are working on this at CSIRO, Australia’s science agency. I think it’s a reasonably novel integration of geospatial ideas with LLMs even if the actual application here is a bit niche.

Does the same job

all alternatives →
  • Atlas.newJan 2026 · ▲525

    The AI agent for maps and spatial data

  • AtlaslyMar 2026 · ▲86

    Your site did 5 days of research. We did it in 60 seconds.

  • SI
    Satellite imagery object detection using text promptsMar 2026 · useful-ai-tools.com · ▲53

    I built a browser-based tool for detecting objects in satellite imagery using vision-language models (VLMs). You draw a polygon on the map and enter a text prompt such as "swimming pools", "oil tanks", or "buses". The system scans the selected area tile-by-tile and returns detections projected back onto the map as GeoJSON. Pipeline: select area and zoom level, split the region into mercantile tiles, run each tile with the prompt through a VLM, convert predicted bounding boxes to geographic coordinates (WGS84), and render the results back on the map. It works reasonably well for distinct…

  • Atlas4d ago · worldlabs.ai · ▲7

    A world model for spatial intelligence

  • MO
    Maptoolkit.org – Free and beautiful vector mapsJul 2026 · maptoolkit.org · ▲12

    We built Maptoolkit.org - a free, production-grade vector maps service built on OpenStreetMap and MapLibre. Map rendering and tile hosting have historically been either expensive (Google, Mapbox) or complex to maintain yourself. (Plus: Their maps are car-focused.) Our maps feature max data zoom 15, global hill-shading, 3D terrain, contour lines, water depths, and specialized styles (like Hiking, Cycling, Winter). No sign up or API keys required. You can use it like this: ``` const map = new maplibregl.Map({ container: 'map', style: 'https://styles.maptoolkit.org/summer.json',…

  • AO
    An 'offline' reverse-geocoder API written in Go2020 · ▲14

    I've recently been working with real-time geoJSON data at a rate of 50+ queries per second. SaaS solutions can be prohibitively expensive at this rate, thus, I created go-reverse-geo. Data is pulled from geonames.org and is stored in MongoDB (a requirement of my current project). It is very much a work-in-progress (I wrote it this morning). Hope someone finds it useful. https://paranoia.dev/vivi/go-reverse-geo

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

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • 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

  • Turn website visitors into qualified pipeline

    AI · 19d ago · clarasdr.ai

  • Kane CLI446

    Natural language browser & mobile app tests from terminal

    AI · 24d ago · testmuai.com

Launched alongside, December 2024

the whole month →
  • Remy AI2,172

    Anyone can sleep and recover better

    AI · 2024 · apps.apple.com

  • Remento1,686

    The AI biographer for loved ones

    AI · 2024 · remento.co

  • Aimfox1,213

    Built for LinkedIn outreach, made to close deals

    Growth · 2024 · aimfox.com

  • Stackfix1,112

    Compare software in seconds

    AI · 2024 · stackfix.com

  • Coval1,012

    Simulation & evals to ship delightful voice & chat AI agents

    AI · 2024 · coval.ai

  • VocAdapt961

    Master languages with AI-adapted authentic content

    Life & fun · 2024 · vocadapt.com