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Fully Open Source Google Maps API alternative! 🤯 📍Open Map Data from Overture Maps Foundation 🗺️ PostGIS on Supabase generates vector tiles ✨ Rendered through MapLibre That's it 🤯 mind-blowing demo by Brandon liu bsky.app/profile/bdon.org of Protomaps 🔥

Thor 雷神 ⚡️

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59,880 görüntüleme • 2 yıl önce •via X (Twitter)

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Thor 雷神 ⚡️ profil fotoğrafı

Thor 雷神 ⚡️2 yıl önce

@postgis @supabase @maplibre @bdon @protomaps Full tutorial here 👇

Christoph Nakazawa profil fotoğrafı

Christoph Nakazawa2 yıl önce

@OvertureMaps @postgis @supabase @maplibre @bdon @protomaps Blink twice if @kiwicopple locked you into a dark room.

Thor 雷神 ⚡️ profil fotoğrafı

Thor 雷神 ⚡️2 yıl önce

@OvertureMaps @postgis @supabase @maplibre @bdon @protomaps @kiwicopple 👀

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HUDI2 yıl önce

Guess who’s not a fan of data ownership? 😅 When #Zuckerberg gives zero stars, you know the @datamaskwallet app is keeping your data safe from the big tech giants' grasp. 🚫📊 #DataPrivacy #BigTechNemesis art and creative by @Matteo_Frog

Attila Dobai profil fotoğrafı

Attila Dobai2 yıl önce

@OvertureMaps @postgis @supabase @maplibre @bdon @protomaps Exciting. Looking forward to giving this a try.

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Kyle Malloy2 yıl önce

@OvertureMaps @postgis @supabase @maplibre @bdon @protomaps Loving all the gis content! Good stuff 👍

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ruizTechServices2 yıl önce

@OvertureMaps @postgis @supabase @maplibre @bdon @protomaps Is that a hidden swastika??

Thor 雷神 ⚡️ profil fotoğrafı

Thor 雷神 ⚡️2 yıl önce

@OvertureMaps @postgis @supabase @maplibre @bdon @protomaps Guess I need a 1080 x 1080 export for Twiter.... 🧑‍🦲😭

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Qiusheng Wu

20,691 görüntüleme • 1 ay önce

WOW. 😳 Apple just quietly won the 3D maps war at WWDC. Gaussian Splatting is coming to Apple Maps Flyover this fall. Apple Maps Flyover covers 300+ cities. Until yesterday, every single one was built on standard drone photogrammetry. The technology captures photos from the air and reconstructs 3D geometry from them. Gaussian Splatting does not reconstruct geometry. It represents the scene as millions of tiny 3D ellipsoids, each one carrying its own color and opacity information based on how light actually behaves in that location. The output is not a mesh model. It is a field of light. When you move through it, it does not crumble at the edges. The detail holds because it was never geometry to begin with. Apple has been hiring for this for years. Their SHARP model, published in research last year, generates photorealistic 3D scenes from a single image in under a second. Google has more sensor data than anyone. More Street View cars, more satellites, more capture history. On navigation accuracy and geodata depth, Google Maps is still ahead by most measures. But fidelity in 3D city rendering is a different competition, and Apple just set a bar in that. Most people will experience this in the fall without knowing the name of the technology. They will open Flyover, look at a city they know, and notice it looks different. Real, not rendered. That is the moment Gaussian Splatting stops being a research term and becomes something a billion people use. Bookmark this. It will look prescient by October.

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Shruti

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GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

35,261 görüntüleme • 12 gün önce

Introducing Gemini Cursor ✨ – a second multimodal AI cursor for your desktop that's open-source and free! Link below 👇 This experiment 🧪 reimagines how we interact with our computers because visual cues 👀 help us make sense of what we see on a screen. In this demo, I had my friend test it out by trying to add a payment method 💳 to Amazon. The cursor walks through the entire process 💬 while talking and pointing 🖱️ to the right parts of the website. Powered by Gemini 2.0 Flash (Experimental)⚡ from Google and their live multimodal API. Shoutout to Alexander Chen for sharing the starter code that powers most of this app 🙌🔥

Introducing Gemini Cursor ✨ – a second multimodal AI cursor for your desktop that's open-source and free! Link below 👇 This experiment 🧪 reimagines how we interact with our computers because visual cues 👀 help us make sense of what we see on a screen. In this demo, I had my friend test it out by trying to add a payment method 💳 to Amazon. The cursor walks through the entire process 💬 while talking and pointing 🖱️ to the right parts of the website. Powered by Gemini 2.0 Flash (Experimental)⚡ from Google and their live multimodal API. Shoutout to Alexander Chen for sharing the starter code that powers most of this app 🙌🔥

Sriraam

171,611 görüntüleme • 1 yıl önce

A GUY AT GOOGLE DEEPMIND MADE AN ISOMETRIC PIXEL-ART MAP OF NEW YORK CITY AND PUT IT ON THE OPEN WEB FOR FREE it's called you open the tab and the city is just sitting there in classic SimCity 2000 isometric pixel art. you scroll. and it keeps going. and going. i zoomed in on midtown and i could read the H&M signage in times square. in red. as actual pixel-art letters on the side of a building. i could see the crystalline spire of the Bank of America Tower poking out of a clump of skyscrapers. individual rooftop HVAC units. tiny green roof gardens. the little driveway loops in front of the hotels. he estimates the map needs roughly 40,000 tiles. nothing is a placeholder. the guy who made it is Andy Coenen, a senior staff engineer at Google DeepMind. he is not a pixel artist. by his own admission he is "a former electronic musician." what he actually did is kind of insane: > pulled NYC's geometry from the Google Maps 3D tiles API > fine-tuned an open-source image model (Qwen-Image-Edit) on ~40 hand-paired examples of "satellite tile → pixel art tile" > spun up 50 parallel instances on rented GPUs and generated tens of thousands of tiles in a few hours > the fine-tune cost him 12 bucks his own stated mission for the project, verbatim, is one sentence: "what's possible now that was impossible before?" apparently the answer is "one engineer can pixel-art most of a metropolis for the price of a sandwich." and the wildest part to me is he didn't sell it. no signup. no paywall. no NFT. you open the URL and the city is yours to wander. the post landed at 1,325 points on Hacker News and topped bestofshowhn's 2026 list. we live in a timeline where a senior engineer at one of the largest AI labs on earth spent his nights pixel-arting Manhattan for fun and then gave it away. the internet is healing.

A GUY AT GOOGLE DEEPMIND MADE AN ISOMETRIC PIXEL-ART MAP OF NEW YORK CITY AND PUT IT ON THE OPEN WEB FOR FREE it's called you open the tab and the city is just sitting there in classic SimCity 2000 isometric pixel art. you scroll. and it keeps going. and going. i zoomed in on midtown and i could read the H&M signage in times square. in red. as actual pixel-art letters on the side of a building. i could see the crystalline spire of the Bank of America Tower poking out of a clump of skyscrapers. individual rooftop HVAC units. tiny green roof gardens. the little driveway loops in front of the hotels. he estimates the map needs roughly 40,000 tiles. nothing is a placeholder. the guy who made it is Andy Coenen, a senior staff engineer at Google DeepMind. he is not a pixel artist. by his own admission he is "a former electronic musician." what he actually did is kind of insane: > pulled NYC's geometry from the Google Maps 3D tiles API > fine-tuned an open-source image model (Qwen-Image-Edit) on ~40 hand-paired examples of "satellite tile → pixel art tile" > spun up 50 parallel instances on rented GPUs and generated tens of thousands of tiles in a few hours > the fine-tune cost him 12 bucks his own stated mission for the project, verbatim, is one sentence: "what's possible now that was impossible before?" apparently the answer is "one engineer can pixel-art most of a metropolis for the price of a sandwich." and the wildest part to me is he didn't sell it. no signup. no paywall. no NFT. you open the URL and the city is yours to wander. the post landed at 1,325 points on Hacker News and topped bestofshowhn's 2026 list. we live in a timeline where a senior engineer at one of the largest AI labs on earth spent his nights pixel-arting Manhattan for fun and then gave it away. the internet is healing.

Nav Toor

438,963 görüntüleme • 1 ay önce

MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.

MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.

Santiago

142,696 görüntüleme • 1 yıl önce

GeoLibre v1.9.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings CAD drawing import, smarter WMS and WFS service discovery, and a docked SQL workspace with autocomplete. What's new in v1.9.0 - CAD import: Add CAD drawings (DXF/DWG) as a layer, with a picker for choosing which drawing layers to load and a CRS selector for placing them correctly on the map. - Smarter service discovery: WMS and WFS panels now read the service's GetCapabilities, so you pick available layers and feature types from a populated dropdown instead of typing names by hand. - Docked SQL Workspace: The SQL Workspace now docks as a resizable panel beside the map, with editor autocomplete for tables, columns, and SQL keywords. - Generic Vector to Vector conversion: Convert between any supported vector formats by file extension, alongside the existing targeted converters. - Richer camera tours: Per-keyframe hold and transition duration controls for finer pacing, plus save and reload of a named tour setup. - Better story maps: A hide-itinerary toggle, subtitle and byline fields on the printable handout, and dedicated start and closing slides. - Styling and plugin extras: A transparent (no fill / no outline) option in the color picker, a Legend populated from a paletted raster's color table, and plugins can now use the maplibre-gl-raster stack and the projection control. Try it out - Launch GeoLibre web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

GeoLibre v1.9.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings CAD drawing import, smarter WMS and WFS service discovery, and a docked SQL workspace with autocomplete. What's new in v1.9.0 - CAD import: Add CAD drawings (DXF/DWG) as a layer, with a picker for choosing which drawing layers to load and a CRS selector for placing them correctly on the map. - Smarter service discovery: WMS and WFS panels now read the service's GetCapabilities, so you pick available layers and feature types from a populated dropdown instead of typing names by hand. - Docked SQL Workspace: The SQL Workspace now docks as a resizable panel beside the map, with editor autocomplete for tables, columns, and SQL keywords. - Generic Vector to Vector conversion: Convert between any supported vector formats by file extension, alongside the existing targeted converters. - Richer camera tours: Per-keyframe hold and transition duration controls for finer pacing, plus save and reload of a named tour setup. - Better story maps: A hide-itinerary toggle, subtitle and byline fields on the printable handout, and dedicated start and closing slides. - Styling and plugin extras: A transparent (no fill / no outline) option in the color picker, a Legend populated from a paletted raster's color table, and plugins can now use the maplibre-gl-raster stack and the projection control. Try it out - Launch GeoLibre web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

19,457 görüntüleme • 22 gün önce

GeoLibre v1.5.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release lands 90+ merged pull requests and resolves 90+ issues, adding a dashboard of chart widgets, customizable UI profiles, a saved library of web services, and an in-browser Whitebox raster engine. What's new in v1.5.0 - Dashboard panel: Build a collapsible panel of chart widgets (histogram, scatter, bar, line, box) next to the map. - Customizable UI profiles: Tailor the menus and filter the data sources you see, so the workspace matches your workflow. - Saved service library: Save and reuse your favorite web-service layers (XYZ, WMS, WFS) instead of re-entering URLs. - Whitebox in the browser: Run Whitebox raster tools fully client-side through a WASM runtime, no Python sidecar required. - View menu and viewport history: Step backward and forward through your recent map views from a new View menu. - A more beautiful globe: Add a spinning globe, customize the atmosphere halo and deep-space colors, and reset pitch and bearing with a rotation indicator. - More basemaps: New Protomaps basemaps and support for stacking multiple raster basemaps. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

GeoLibre v1.5.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release lands 90+ merged pull requests and resolves 90+ issues, adding a dashboard of chart widgets, customizable UI profiles, a saved library of web services, and an in-browser Whitebox raster engine. What's new in v1.5.0 - Dashboard panel: Build a collapsible panel of chart widgets (histogram, scatter, bar, line, box) next to the map. - Customizable UI profiles: Tailor the menus and filter the data sources you see, so the workspace matches your workflow. - Saved service library: Save and reuse your favorite web-service layers (XYZ, WMS, WFS) instead of re-entering URLs. - Whitebox in the browser: Run Whitebox raster tools fully client-side through a WASM runtime, no Python sidecar required. - View menu and viewport history: Step backward and forward through your recent map views from a new View menu. - A more beautiful globe: Add a spinning globe, customize the atmosphere halo and deep-space colors, and reset pitch and bearing with a rotation indicator. - More basemaps: New Protomaps basemaps and support for stacking multiple raster basemaps. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

41,317 görüntüleme • 1 ay önce

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,075 görüntüleme • 1 ay önce

SOMEONE VIBE CODED A TOOL THAT FINDS BUSINESSES, READS THEIR REVIEWS, AND WRITES COLD EMAILS BASED ON THEIR OWN CUSTOMERS' COMPLAINTS this is insane. you type in any business type and pick a city. it scrapes every matching business off Google Maps with 30+ data fields. then it visits their actual websites and pulls verified emails, phone numbers, and every social media profile they have scraped live, not from some outdated database like other tools then the AI reads up to 50 of their Google reviews and finds their exact pain points "clients complain photos don't show the real size of properties" or "listings take too long to sell" then you tell it what YOUR business does. it cross-references your offer with their specific problems and generates a fully personalized cold email for each business. send it in 2 clicks. one by one and not bulk so it lands in the primary inbox and all of those leads land on a GPS-mapped CRM where you can draw sales territories, optimize driving routes, track your team's activity in real time, and transcribe voice notes after meetings. works in 200+ countries and with any business type. if they're on Google Maps you can find them this is the most complete lead gen tool i've ever seen AND he vibe coded the whole thing with Claude Code in 2 weeks

Rahul

98,186 görüntüleme • 1 ay önce

SOMEONE VIBE CODED A TOOL THAT FINDS BUSINESSES, READS THEIR REVIEWS, AND WRITES COLD EMAILS BASED ON THEIR OWN CUSTOMERS' COMPLAINTS this is insane. you type in any business type and pick a city. it scrapes every matching business off Google Maps with 30+ data fields. then it visits their actual websites and pulls verified emails, phone numbers, and every social media profile they have scraped live, not from some outdated database like other tools then the AI reads up to 50 of their Google reviews and finds their exact pain points "clients complain photos don't show the real size of properties" or "listings take too long to sell" then you tell it what YOUR business does. it cross-references your offer with their specific problems and generates a fully personalized cold email for each business. send it in 2 clicks. one by one and not bulk so it lands in the primary inbox and all of those leads land on a GPS-mapped CRM where you can draw sales territories, optimize driving routes, track your team's activity in real time, and transcribe voice notes after meetings. works in 200+ countries and with any business type. if they're on Google Maps you can find them this is the most complete lead gen tool i've ever seen AND he vibe coded the whole thing with Claude Code in 2 weeks

Om Patel

600,642 görüntüleme • 3 ay önce

DIGITAL TWIN UPDATE: The Unreal Engine digital twin project is CANCELLED! WE ARE OPEN SOURCING THE WORK!!!!!!! Instead, I'm building an end-to-end land management platform I'm calling Mazzap because it's an app and it's a map and also I'm Mr. Mazza. I'm also not calling a digital twin anymore; I'm calling it a V.E.I.L. which stands for Virtually Embodied Intelligent Land which serves the dual purpose of sounding way cooler and also conveys the long-term aims of the prject way better. With Mazzap anyone can easily generate a veil with nothing but publicly available data (and some photogrammetry objects if you so choose). Everything is perfectly georefrenced and you can right-click anywhere on your veil to get coordinates you can plug into google maps yourself. The next step for this is going to be building a survey companion mobile app so you can get field data yourself complete with attribute tables to drop in to get even HIGHER fidelity data than USGS. My stretch goal is using something like SAM 3D (but better) to generate georefrenced 3d tree assets based on the real trees on your land (which will eventually lead to growth and fruiting simulators based on your soil and hydrology data). Then again maybe that's not the next step; maybe the next step is plumbing in IoT devices so you can view assets in real time on your land. GPS trackers on the sheep, or maybe data from your solar controller. Or maybe it's up to you, because it's completely open source and it has an agents markdown file ready for your own coding agent to read and adapt for your purposes (did I mention this is vibecloded slop? sowwyyyy) Watch demo below and see how you can go from zero to beautifully rendered 3d map of your property in less than 15 minutes! If you're coming in cold to all this, below in the QT is a nested thread of reverse chronological tweets of my work on this (in unreal) so far.

DIGITAL TWIN UPDATE: The Unreal Engine digital twin project is CANCELLED! WE ARE OPEN SOURCING THE WORK!!!!!!! Instead, I'm building an end-to-end land management platform I'm calling Mazzap because it's an app and it's a map and also I'm Mr. Mazza. I'm also not calling a digital twin anymore; I'm calling it a V.E.I.L. which stands for Virtually Embodied Intelligent Land which serves the dual purpose of sounding way cooler and also conveys the long-term aims of the prject way better. With Mazzap anyone can easily generate a veil with nothing but publicly available data (and some photogrammetry objects if you so choose). Everything is perfectly georefrenced and you can right-click anywhere on your veil to get coordinates you can plug into google maps yourself. The next step for this is going to be building a survey companion mobile app so you can get field data yourself complete with attribute tables to drop in to get even HIGHER fidelity data than USGS. My stretch goal is using something like SAM 3D (but better) to generate georefrenced 3d tree assets based on the real trees on your land (which will eventually lead to growth and fruiting simulators based on your soil and hydrology data). Then again maybe that's not the next step; maybe the next step is plumbing in IoT devices so you can view assets in real time on your land. GPS trackers on the sheep, or maybe data from your solar controller. Or maybe it's up to you, because it's completely open source and it has an agents markdown file ready for your own coding agent to read and adapt for your purposes (did I mention this is vibecloded slop? sowwyyyy) Watch demo below and see how you can go from zero to beautifully rendered 3d map of your property in less than 15 minutes! If you're coming in cold to all this, below in the QT is a nested thread of reverse chronological tweets of my work on this (in unreal) so far.

Zy

54,025 görüntüleme • 4 ay önce

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

86,515 görüntüleme • 2 ay önce

Big news from OVER! 🚀 We're expanding our Visual Positioning System (VPS) globally integrating open datasets from Mapillary & Panoramax. Precise AR re-localization everywhere. Yes, EVERYWHERE! 🗺️ Mapillary & panoramax offer over 2 BILLION geolocalized images under CC-BY-SA license. Mapillary (recently acquired by Meta) covers the globe, while Panoramax specializes in France. These datasets beautifully complement OVER's community-driven OVRMaps. While they're less dense (about 1-2 orders sparser), their scale is massive. Check out Mapillary’s global coverage here: But leveraging such sparse, varied data isn't easy—think limited overlap, camera distortion, and no metric scaling. Yet, we've cracked the code! 💡 Our recent breakthroughs combining our VPS pipeline with cutting-edge Large Geospatial Models (LGMs) allow us to build accurate 3D digital twins and offer reliable VPS services using these sparse datasets. 📍 Accuracy might be lower than our detailed community maps, but it still blows GPS out of the water! This is HUGE for OVER. It means we’re extending our coverage WAY beyond the 110,000+ locations already mapped by our community. Web3 DePIN + Open Source beats Web2 giants like Niantic! And that's not all—we're also unlocking exciting new possibilities soon: 1️⃣ Faster and easier mapping through our Map2Earn program using 360-degree camera integration. 2️⃣ Integrating datasets from new DePIN partners—like our recent partnership with NATIX Network the OVER ecosystem. Stay tuned! The future of AR Spatial Computing and decentralized mapping is here, and it's open, collaborative, and unstoppable!

Big news from OVER! 🚀 We're expanding our Visual Positioning System (VPS) globally integrating open datasets from Mapillary & Panoramax. Precise AR re-localization everywhere. Yes, EVERYWHERE! 🗺️ Mapillary & panoramax offer over 2 BILLION geolocalized images under CC-BY-SA license. Mapillary (recently acquired by Meta) covers the globe, while Panoramax specializes in France. These datasets beautifully complement OVER's community-driven OVRMaps. While they're less dense (about 1-2 orders sparser), their scale is massive. Check out Mapillary’s global coverage here: But leveraging such sparse, varied data isn't easy—think limited overlap, camera distortion, and no metric scaling. Yet, we've cracked the code! 💡 Our recent breakthroughs combining our VPS pipeline with cutting-edge Large Geospatial Models (LGMs) allow us to build accurate 3D digital twins and offer reliable VPS services using these sparse datasets. 📍 Accuracy might be lower than our detailed community maps, but it still blows GPS out of the water! This is HUGE for OVER. It means we’re extending our coverage WAY beyond the 110,000+ locations already mapped by our community. Web3 DePIN + Open Source beats Web2 giants like Niantic! And that's not all—we're also unlocking exciting new possibilities soon: 1️⃣ Faster and easier mapping through our Map2Earn program using 360-degree camera integration. 2️⃣ Integrating datasets from new DePIN partners—like our recent partnership with NATIX Network the OVER ecosystem. Stay tuned! The future of AR Spatial Computing and decentralized mapping is here, and it's open, collaborative, and unstoppable!

Over the Reality 🌐

1,313,342 görüntüleme • 1 yıl önce

Pedestrians AND Traffic are alive now everyone!! Been heads down for 2 days on this one to build a hyper realistic flow, it was a massive amount of work, but part of the map now has people walking the streets and cars actually driving through traffic. Day 23 of building hyper realistic community own open source, open world game with a loop of AI agents. Today's progress: - Pedestrians are in. NPCs walk around the streets on their own. - Traffic works. cars drive the roads and follow the flow. got both running together across a whole section of the map. This was one of the hardest parts so far. a city only feels alive when the crowds and the traffic are all running at once, and that's a lot of systems talking to each other. but real talk, a lot of this i had to set up by hand right now, and the bigger the map gets the worse that's going to be. There has to be a better way. next up is scaling it from one section to the entire city. quick question for the unreal engine people: whats your best approach for traffic and crowd AI at full city scale? I got a section fully alive, now i want the whole map moving. if you've built this before i want to learn how you did it.

Pedestrians AND Traffic are alive now everyone!! Been heads down for 2 days on this one to build a hyper realistic flow, it was a massive amount of work, but part of the map now has people walking the streets and cars actually driving through traffic. Day 23 of building hyper realistic community own open source, open world game with a loop of AI agents. Today's progress: - Pedestrians are in. NPCs walk around the streets on their own. - Traffic works. cars drive the roads and follow the flow. got both running together across a whole section of the map. This was one of the hardest parts so far. a city only feels alive when the crowds and the traffic are all running at once, and that's a lot of systems talking to each other. but real talk, a lot of this i had to set up by hand right now, and the bigger the map gets the worse that's going to be. There has to be a better way. next up is scaling it from one section to the entire city. quick question for the unreal engine people: whats your best approach for traffic and crowd AI at full city scale? I got a section fully alive, now i want the whole map moving. if you've built this before i want to learn how you did it.

Ziwen

90,846 görüntüleme • 20 gün önce

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

39,890 görüntüleme • 1 ay önce