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Broke from flat maps, Introducing Seismic 3D: Built a "Glass Planet" volumetric viz showing earthquakes DEEP in Earth's crust (10x depth scale for subduction zones)! Tech: React + Three.js via React-three-fiber + USGS Earthquakes API feed. Instanced Mesh for 60FPS on 8K+ events! Like/RT : Tag a friend who...

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SHAHNAB AHMED

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40,126 просмотров • 6 месяцев назад •via X (Twitter)

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Ditched boring flat maps forever. Population Density 3D map- This is a premium glass-like orb floating in a quantum black void, with glowing spikes for every major city - taller + brighter = higher population. Rotate it. Zoom in. It was a fun exercise balancing 3D performance with clean, minimal UI. Tech Stack: React + Vite | Three.js | Tailwind CSS | Lucide React What do you think of the dark aesthetic? Like if you’re impressed Repost if you’re a dev who loves creative coding #React #ThreeJS #DataVisualization #WebGL #CreativeCoding #Frontend #TailwindCSS #UIUX
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Ditched boring flat maps forever. Population Density 3D map- This is a premium glass-like orb floating in a quantum black void, with glowing spikes for every major city - taller + brighter = higher population. Rotate it. Zoom in. It was a fun exercise balancing 3D performance with clean, minimal UI. Tech Stack: React + Vite | Three.js | Tailwind CSS | Lucide React What do you think of the dark aesthetic? Like if you’re impressed Repost if you’re a dev who loves creative coding #React #ThreeJS #DataVisualization #WebGL #CreativeCoding #Frontend #TailwindCSS #UIUX

SHAHNAB AHMED

29,674 просмотров • 5 месяцев назад

🚀 I'm launching r3f-webgpu-perf today! "npm i r3f-webgpu-perf" One thing I missed while working with WebGPU in React Three Fiber was a performance monitor similar to r3f-perf. The existing tool is fantastic, but it doesn’t support the WebGPU renderer yet. So I decided to build one. ✅ Supports both WebGL and WebGPU ✅ Modern and customizable UI ✅ Lightweight and easy to integrate ✅ Built specifically for React Three Fiber My goal is to turn r3f-webgpu-perf into more than just a metrics dashboard. I want it to become a learning tool that provides real-time optimization suggestions based on the techniques I’ve developed while building hundreds of interactive 3D projects over the last two decades. A vanilla Three.js version is also planned. If you’re building with Three.js, React Three Fiber, or WebGPU, I’d love for you to try it and share your feedback. ⭐ GitHub: 📦 NPM: Every GitHub star helps make the tool better for the entire community. #threejs #creativecoding #webgpu #r3f
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🚀 I'm launching r3f-webgpu-perf today! "npm i r3f-webgpu-perf" One thing I missed while working with WebGPU in React Three Fiber was a performance monitor similar to r3f-perf. The existing tool is fantastic, but it doesn’t support the WebGPU renderer yet. So I decided to build one. ✅ Supports both WebGL and WebGPU ✅ Modern and customizable UI ✅ Lightweight and easy to integrate ✅ Built specifically for React Three Fiber My goal is to turn r3f-webgpu-perf into more than just a metrics dashboard. I want it to become a learning tool that provides real-time optimization suggestions based on the techniques I’ve developed while building hundreds of interactive 3D projects over the last two decades. A vanilla Three.js version is also planned. If you’re building with Three.js, React Three Fiber, or WebGPU, I’d love for you to try it and share your feedback. ⭐ GitHub: 📦 NPM: Every GitHub star helps make the tool better for the entire community. #threejs #creativecoding #webgpu #r3f

Anderson Mancini

23,984 просмотров • 2 месяцев назад

Planetary Mapping in the Browser with GeoLibre! Web mapping just left Earth orbit. GeoLibre, the open-source cloud-native GIS platform, now maps nine more worlds beyond Mars and the Moon: - Mercury - Venus - Io, Europa, Ganymede, and Callisto (Jupiter's Galilean moons) - Titan (Saturn's largest moon) - Pluto and Charon You can browse each one right in your browser, with no install required. A few things I'm excited about under the hood: The imagery comes from USGS Astrogeology, which publishes these mosaics only in an equirectangular projection. MapLibre renders Web Mercator, so GeoLibre reprojects each tile to Web Mercator on the fly at the edge, with no pre-processing and no giant downloads. Every body carries its own radius. Switch to the Moon or Pluto and your distance, area, and scale-bar measurements use that world's geometry instead of Earth's, so the numbers are actually right. A planet switcher in the Layers panel lets you hop between Earth, the Moon, Mars, and the rest with one click. Whether you are teaching planetary science, prototyping a mission map, or just curious what Titan looks like next to a scale bar, it is all a click away. Try it out: - Launch GeoLibre Web: - GitHub: - Documentation: Thanks to USGS Astrogeology and OpenPlanetaryMap for making this data open. #GIS #OpenSource #Geospatial #PlanetaryScience #MapLibre #WebGIS #GeoLibre #Astronomy
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Planetary Mapping in the Browser with GeoLibre! Web mapping just left Earth orbit. GeoLibre, the open-source cloud-native GIS platform, now maps nine more worlds beyond Mars and the Moon: - Mercury - Venus - Io, Europa, Ganymede, and Callisto (Jupiter's Galilean moons) - Titan (Saturn's largest moon) - Pluto and Charon You can browse each one right in your browser, with no install required. A few things I'm excited about under the hood: The imagery comes from USGS Astrogeology, which publishes these mosaics only in an equirectangular projection. MapLibre renders Web Mercator, so GeoLibre reprojects each tile to Web Mercator on the fly at the edge, with no pre-processing and no giant downloads. Every body carries its own radius. Switch to the Moon or Pluto and your distance, area, and scale-bar measurements use that world's geometry instead of Earth's, so the numbers are actually right. A planet switcher in the Layers panel lets you hop between Earth, the Moon, Mars, and the rest with one click. Whether you are teaching planetary science, prototyping a mission map, or just curious what Titan looks like next to a scale bar, it is all a click away. Try it out: - Launch GeoLibre Web: - GitHub: - Documentation: Thanks to USGS Astrogeology and OpenPlanetaryMap for making this data open. #GIS #OpenSource #Geospatial #PlanetaryScience #MapLibre #WebGIS #GeoLibre #Astronomy

Qiusheng Wu

10,325 просмотров • 1 месяц назад

🚨 THEY’RE NOT JUST WATCHING YOU THEY’RE INSIDE YOUR MIND RIGHT NOW MK ULTRA 2.0 is LIVE. 🚨 Amazon, X, Facebook, all social media's, ANOTHER PURPOSE FOR THE DATA CENTERS! Google's CIA-built cloud isn’t storing your photos… It’s mapping your thoughts, syncing your brainwaves, and turning humanity into remote-controlled puppets. This isn’t sci-fi. This is the silent war they never told you about. Watch this explosive video exposing: - Whistleblower Bryan Kofron revealing Security Industry Specialists’ role in targeting citizens. - DARPA brain implants & neural interfaces. - Patents that prove they can read, write, and hijack your brain activity. - How Amazon Web Services + CIA tech = Electronic Brain Link for mass control. Reply and Tag 5 Friends! Let’s break the matrix! If your thoughts can be read and influenced through your phone/cloud… how many of your “decisions” |are actually yours? Why is Amazon (CIA contractor) pushing Neural tech while everyone’s addicted to Alexa and Prime? Have you felt random mood swings, brain fog, or “forgotten” thoughts lately? Could it be more than stress? Who benefits from a population that’s anxious, divided, and easily triggered? Follow the patents. What’s your first step to reclaim your mind? (No fluoride, ground yourself, detox, awareness?) DROP a like if you’re not their puppet anymore. RT + Comment your #1 question Below. The algorithm can’t hide this forever. Share this with 5 people who still think it’s “just a conspiracy.” The Great Awakening isn’t coming... it’s HERE. Let me know what you think, and SHARE THIS so that others may too! And check out the thread below 👇
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🚨 THEY’RE NOT JUST WATCHING YOU THEY’RE INSIDE YOUR MIND RIGHT NOW MK ULTRA 2.0 is LIVE. 🚨 Amazon, X, Facebook, all social media's, ANOTHER PURPOSE FOR THE DATA CENTERS! Google's CIA-built cloud isn’t storing your photos… It’s mapping your thoughts, syncing your brainwaves, and turning humanity into remote-controlled puppets. This isn’t sci-fi. This is the silent war they never told you about. Watch this explosive video exposing: - Whistleblower Bryan Kofron revealing Security Industry Specialists’ role in targeting citizens. - DARPA brain implants & neural interfaces. - Patents that prove they can read, write, and hijack your brain activity. - How Amazon Web Services + CIA tech = Electronic Brain Link for mass control. Reply and Tag 5 Friends! Let’s break the matrix! If your thoughts can be read and influenced through your phone/cloud… how many of your “decisions” |are actually yours? Why is Amazon (CIA contractor) pushing Neural tech while everyone’s addicted to Alexa and Prime? Have you felt random mood swings, brain fog, or “forgotten” thoughts lately? Could it be more than stress? Who benefits from a population that’s anxious, divided, and easily triggered? Follow the patents. What’s your first step to reclaim your mind? (No fluoride, ground yourself, detox, awareness?) DROP a like if you’re not their puppet anymore. RT + Comment your #1 question Below. The algorithm can’t hide this forever. Share this with 5 people who still think it’s “just a conspiracy.” The Great Awakening isn’t coming... it’s HERE. Let me know what you think, and SHARE THIS so that others may too! And check out the thread below 👇

Noah B. Price

11,783 просмотров • 2 месяцев назад

全网疯传神老师这个提示词太好玩了 我改了一版裸眼3D版本 然后又花了1美金做了一个视频 产品展示历史3D图提示词： Role & Subject: A museum-grade, hyper-realistic 16:9 3D infographic masterpiece titled "THE EVOLUTION OF [Product Name]". The visual style combines cinematic product photography with advanced technical blueprint aesthetics, emphasizing extreme depth and tangible 3D presence. The Hero Lineup (3D Volumetric Core): • A complete chronological sequence of 8-12 historical versions of [Product Name], from earliest prototype to futuristic concept • Arranged on a precision-engineered floating ruler/timeline base with depth shadows and reflection mapping • 3D Rendering Enhancement: - Octane Render + Unreal Engine 5 volumetric lighting - PBR (Physically Based Rendering) materials with: * Sub-surface scattering for organic materials * Metallic/roughness maps for mechanical parts * Micro-displacement for surface texture depth - Each object casts realistic shadows on the background plane - Edge rim lighting (0.3 intensity) to separate objects from background - Depth of field: Sharp focus on center objects, subtle bokeh on edges • Material Evolution Story: - Early versions: Weathered textures (rust, wear marks, patina) - Mid-era: Industrial matte finishes with visible manufacturing seams - Modern: Pristine glossy surfaces with screen-space reflections - Future: Holographic elements with volumetric fog effects Brand Atmosphere (The 3D Canvas): • Background: Deep [Brand Color] with physical texture layers: - Embossed vintage patent drawings (normal-mapped) - Floating translucent glass panels with engraved engineering notes - Volumetric god rays piercing through layered newspaper clippings - Particle system: Subtle floating dust motes with motion blur • Header Zone: - Brand logo: Extruded 3D metal badge with bevel and emboss - Title typography: Carved letterpress effect with depth shadows - Metallic foil stamp simulation with anisotropic highlights The "Hyper-Dense" 3D Information Layer: A complex, organized data-maximalist layout with spatial depth: 1. Dense Annotation Network: - Ultra-fine white hairlines (0.5px) connecting components to data blocks - Lines have slight 3D curvature following perspective rules - Connection nodes: Small metallic spheres with Fresnel reflections 2. Contextual Era Modules: - Floating glass panels hovering above the timeline - Each decade module has: * Frosted glass material with transparency gradient * Iconographic markers in raised relief * Subtle animated pulse effects (optional) 3. Magnifying Lens Inserts: - Circular/hexagonal cutouts with beveled glass edges - Extreme macro close-ups showing: * Material grain (wood, metal, plastic crystals) * Internal mechanisms with exploded-view depth - Lens distortion shader for realism 4. Technical Specs Strip (Bottom): - Structured data bar with 3D segmented panels - Each cell: Slightly recessed with inner shadow - Typography: Laser-etched effect on brushed metal texture - Micro LED indicator lights between data points 3D Enhancement Technical Specs: • Rendering Engine: Octane Render / Unreal Engine 5.3 • Global Illumination: HDRI environment map (studio lighting setup) • Camera Settings: - Focal Length: 35mm (slight wide-angle for information density) - F-Stop: f/5.6 (selective focus) - Chromatic Aberration: 0.2 (photographic realism) • Post-Processing Stack: - Ambient Occlusion (AO) for micro-shadows - Screen Space Reflections (SSR) - Volumetric lighting with light shaft scattering - Color Grading: Cinematic LUT with lifted blacks - Sharpness: 130% (crisp data legibility) • Material Library: - Metals: Anisotropic brushed aluminum, polished chrome - Glass: IOR 1.52 with caustics - Plastics: Translucent with thickness variation - Paper: Subsurface scattering for vintage documents Output Parameters: --ar 16:9 --v 6.1 --style raw --stylize 400 --quality 2 --chaos 10 Additional Flags (for AI generators): --3d-rendering --volumetric-lighting --octane-quality --pbr-materials --depth-of-field Metadata Variables to Replace: [Product Name] → Your subject (e.g., "POP MART Designer Toys") [Brand Color] → Primary brand color (e.g., "Deep Navy Blue #1A2332") [Material Vibe] → Core material story (e.g., "Vinyl to Resin to Smart Materials") [Key Components] → Specific product features (e.g., "Joints, Paint Finish, Packaging") Pro Tips for Maximum 3D Impact: 1. Use "isometric 3D layout" for uniform depth perception 2. Add "floating holographic UI elements" for futuristic tech feel 3. Include "cross-section cutaway views" to show internal structure 4. Apply "chromatic aberration" around high-contrast edges for lens realism 5. Insert "measurement calipers" as 3D props for scale reference
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全网疯传神老师这个提示词太好玩了 我改了一版裸眼3D版本 然后又花了1美金做了一个视频 产品展示历史3D图提示词： Role & Subject: A museum-grade, hyper-realistic 16:9 3D infographic masterpiece titled "THE EVOLUTION OF [Product Name]". The visual style combines cinematic product photography with advanced technical blueprint aesthetics, emphasizing extreme depth and tangible 3D presence. The Hero Lineup (3D Volumetric Core): • A complete chronological sequence of 8-12 historical versions of [Product Name], from earliest prototype to futuristic concept • Arranged on a precision-engineered floating ruler/timeline base with depth shadows and reflection mapping • 3D Rendering Enhancement: - Octane Render + Unreal Engine 5 volumetric lighting - PBR (Physically Based Rendering) materials with: * Sub-surface scattering for organic materials * Metallic/roughness maps for mechanical parts * Micro-displacement for surface texture depth - Each object casts realistic shadows on the background plane - Edge rim lighting (0.3 intensity) to separate objects from background - Depth of field: Sharp focus on center objects, subtle bokeh on edges • Material Evolution Story: - Early versions: Weathered textures (rust, wear marks, patina) - Mid-era: Industrial matte finishes with visible manufacturing seams - Modern: Pristine glossy surfaces with screen-space reflections - Future: Holographic elements with volumetric fog effects Brand Atmosphere (The 3D Canvas): • Background: Deep [Brand Color] with physical texture layers: - Embossed vintage patent drawings (normal-mapped) - Floating translucent glass panels with engraved engineering notes - Volumetric god rays piercing through layered newspaper clippings - Particle system: Subtle floating dust motes with motion blur • Header Zone: - Brand logo: Extruded 3D metal badge with bevel and emboss - Title typography: Carved letterpress effect with depth shadows - Metallic foil stamp simulation with anisotropic highlights The "Hyper-Dense" 3D Information Layer: A complex, organized data-maximalist layout with spatial depth: 1. Dense Annotation Network: - Ultra-fine white hairlines (0.5px) connecting components to data blocks - Lines have slight 3D curvature following perspective rules - Connection nodes: Small metallic spheres with Fresnel reflections 2. Contextual Era Modules: - Floating glass panels hovering above the timeline - Each decade module has: * Frosted glass material with transparency gradient * Iconographic markers in raised relief * Subtle animated pulse effects (optional) 3. Magnifying Lens Inserts: - Circular/hexagonal cutouts with beveled glass edges - Extreme macro close-ups showing: * Material grain (wood, metal, plastic crystals) * Internal mechanisms with exploded-view depth - Lens distortion shader for realism 4. Technical Specs Strip (Bottom): - Structured data bar with 3D segmented panels - Each cell: Slightly recessed with inner shadow - Typography: Laser-etched effect on brushed metal texture - Micro LED indicator lights between data points 3D Enhancement Technical Specs: • Rendering Engine: Octane Render / Unreal Engine 5.3 • Global Illumination: HDRI environment map (studio lighting setup) • Camera Settings: - Focal Length: 35mm (slight wide-angle for information density) - F-Stop: f/5.6 (selective focus) - Chromatic Aberration: 0.2 (photographic realism) • Post-Processing Stack: - Ambient Occlusion (AO) for micro-shadows - Screen Space Reflections (SSR) - Volumetric lighting with light shaft scattering - Color Grading: Cinematic LUT with lifted blacks - Sharpness: 130% (crisp data legibility) • Material Library: - Metals: Anisotropic brushed aluminum, polished chrome - Glass: IOR 1.52 with caustics - Plastics: Translucent with thickness variation - Paper: Subsurface scattering for vintage documents Output Parameters: --ar 16:9 --v 6.1 --style raw --stylize 400 --quality 2 --chaos 10 Additional Flags (for AI generators): --3d-rendering --volumetric-lighting --octane-quality --pbr-materials --depth-of-field Metadata Variables to Replace: [Product Name] → Your subject (e.g., "POP MART Designer Toys") [Brand Color] → Primary brand color (e.g., "Deep Navy Blue #1A2332") [Material Vibe] → Core material story (e.g., "Vinyl to Resin to Smart Materials") [Key Components] → Specific product features (e.g., "Joints, Paint Finish, Packaging") Pro Tips for Maximum 3D Impact: 1. Use "isometric 3D layout" for uniform depth perception 2. Add "floating holographic UI elements" for futuristic tech feel 3. Include "cross-section cutaway views" to show internal structure 4. Apply "chromatic aberration" around high-contrast edges for lens realism 5. Insert "measurement calipers" as 3D props for scale reference

serva huang

12,281 просмотров • 8 месяцев назад

Dr. Edward Teller, the father of the hydrogen bomb, on what nuclear weapons can actually do to the planet, and what they can't: In a 1963 interview, Teller was asked whether the year's violent weather might be linked to nuclear test explosions. His response cuts through the panic of the era: "You know that there have been few things that have not been dragged in to explain the weather. And furthermore, there have been few disagreeable occurrences that have not been blamed on nuclear tests." But Teller doesn't dismiss the concern. He reframes it with scale: "In actual fact, nuclear explosions are far too small to change the weather. Much greater energy is involved in thunderstorms and in cyclones and in cold fronts than nuclear explosions could possibly produce." Then he pivots to where the connection is real: earthquakes. Underground nuclear tests, he explains, gave science something it had never had before: a known quantity of energy to compare against natural seismic events. "For the first time, we have a reliable figure for the actual amount of energy found in an earthquake." The interviewer pushes on the obvious worry. Could a test trigger a catastrophic quake? Teller is measured: "There is a chance that a nuclear explosion right on top of a fault that is ready to go off might trigger the motion of that fault… At any rate, nuclear explosions in areas which are relatively stable from the point of view of earthquakes will certainly not trigger them." Then comes the most striking idea in the interview. Teller floats a counterintuitive use of the technology: "Some people have even proposed that nuclear explosions at some time might be used to control earthquakes. Instead of getting tensions built up for 50 years and then making a big earthquake, a big slippage that destroyed San Francisco, one could have a little slippage, which is right harmless, once every year. Let us say on the 4th of July." He's quick to add a dose of realism: "But probably people won't consent, and furthermore, I doubt that it can be done." Teller closes with a vision that gives a name to an entire ambition of the era. Using nuclear power not as a weapon, but as a construction tool for reshaping the planet itself. "I am quite sure that large earth-moving, such as the building of canals, would be entirely possible. I like to call this kind of an approach geographical engineering."
3:07

Dr. Edward Teller, the father of the hydrogen bomb, on what nuclear weapons can actually do to the planet, and what they can't: In a 1963 interview, Teller was asked whether the year's violent weather might be linked to nuclear test explosions. His response cuts through the panic of the era: "You know that there have been few things that have not been dragged in to explain the weather. And furthermore, there have been few disagreeable occurrences that have not been blamed on nuclear tests." But Teller doesn't dismiss the concern. He reframes it with scale: "In actual fact, nuclear explosions are far too small to change the weather. Much greater energy is involved in thunderstorms and in cyclones and in cold fronts than nuclear explosions could possibly produce." Then he pivots to where the connection is real: earthquakes. Underground nuclear tests, he explains, gave science something it had never had before: a known quantity of energy to compare against natural seismic events. "For the first time, we have a reliable figure for the actual amount of energy found in an earthquake." The interviewer pushes on the obvious worry. Could a test trigger a catastrophic quake? Teller is measured: "There is a chance that a nuclear explosion right on top of a fault that is ready to go off might trigger the motion of that fault… At any rate, nuclear explosions in areas which are relatively stable from the point of view of earthquakes will certainly not trigger them." Then comes the most striking idea in the interview. Teller floats a counterintuitive use of the technology: "Some people have even proposed that nuclear explosions at some time might be used to control earthquakes. Instead of getting tensions built up for 50 years and then making a big earthquake, a big slippage that destroyed San Francisco, one could have a little slippage, which is right harmless, once every year. Let us say on the 4th of July." He's quick to add a dose of realism: "But probably people won't consent, and furthermore, I doubt that it can be done." Teller closes with a vision that gives a name to an entire ambition of the era. Using nuclear power not as a weapon, but as a construction tool for reshaping the planet itself. "I am quite sure that large earth-moving, such as the building of canals, would be entirely possible. I like to call this kind of an approach geographical engineering."

History Nerd

38,262 просмотров • 3 месяцев назад

Anthropic released Claude Design TODAY and it's now accessible at I spent the last hour giving it a first look, and shared my thoughts and results in the video below. This is a BIG drop. This is a new design surface from Anthropic, and it changes what "AI design" means. Short version: Claude can now design. Not "describe a design." Not "generate an image of a design." Actual production work — prototypes, wireframes, high-fidelity mocks, slide decks, landing pages — editable, on-brand, and ready to hand off. Here's what stood out on first look: → Real design surfaces Prototypes, wireframes, hi-fi, and slide decks — each with templates and proper structure, not just pretty screenshots. → Comment-based edits Leave a comment on any element and Claude revises it. This is the Figma-style review loop, with the designer replaced by a model that works at 3am. → Brand design systems You can feed it your system — colors, type, components — and it actually respects it. On-brand output, not generic AI slop. → Export anywhere PDF, PowerPoint, Canva, standalone HTML. Plus a built-in handoff straight to Claude Code for engineers to implement. → Import from real tools Figma, GitHub, and captured web elements come in as inputs. Your existing work is the starting line, not the discard pile. → Collaboration Share links for view / comment / edit — the exact tier system teams already expect. What I tested on Opus 4.7: • A 5-slide deck generated from a single screenshot. Claude asked clarifying questions BEFORE generating and shipped speaker notes by default. • A landing page build. Solid first pass, real components, real layout logic. • Multiple chats running concurrently. You can parallelize design work across threads like a small team. Why this matters: PMs, founders, marketers, and non-engineers can now create designs that engineers can actually ship with production-ready output and a claude code handoff built in. The gap between "I have an idea" and "here's a working prototype with my brand applied" just collapsed to minutes. Full walkthrough, live demos, exports, and honest takes on where it breaks below. P.S. • This is an Anthropic Labs product — NOT GA yet. • Claude Design is currently webapp only (no API), and does not yet support the Analytics API, Compliance API, or cost/usage reporting. • Availability: – Default ON for Pro / Max / Team – Default OFF for Enterprise Enterprise admins can toggle it on via RBAC in console (comes with a ~$20/user initial credit).
18:30

Anthropic released Claude Design TODAY and it's now accessible at I spent the last hour giving it a first look, and shared my thoughts and results in the video below. This is a BIG drop. This is a new design surface from Anthropic, and it changes what "AI design" means. Short version: Claude can now design. Not "describe a design." Not "generate an image of a design." Actual production work — prototypes, wireframes, high-fidelity mocks, slide decks, landing pages — editable, on-brand, and ready to hand off. Here's what stood out on first look: → Real design surfaces Prototypes, wireframes, hi-fi, and slide decks — each with templates and proper structure, not just pretty screenshots. → Comment-based edits Leave a comment on any element and Claude revises it. This is the Figma-style review loop, with the designer replaced by a model that works at 3am. → Brand design systems You can feed it your system — colors, type, components — and it actually respects it. On-brand output, not generic AI slop. → Export anywhere PDF, PowerPoint, Canva, standalone HTML. Plus a built-in handoff straight to Claude Code for engineers to implement. → Import from real tools Figma, GitHub, and captured web elements come in as inputs. Your existing work is the starting line, not the discard pile. → Collaboration Share links for view / comment / edit — the exact tier system teams already expect. What I tested on Opus 4.7: • A 5-slide deck generated from a single screenshot. Claude asked clarifying questions BEFORE generating and shipped speaker notes by default. • A landing page build. Solid first pass, real components, real layout logic. • Multiple chats running concurrently. You can parallelize design work across threads like a small team. Why this matters: PMs, founders, marketers, and non-engineers can now create designs that engineers can actually ship with production-ready output and a claude code handoff built in. The gap between "I have an idea" and "here's a working prototype with my brand applied" just collapsed to minutes. Full walkthrough, live demos, exports, and honest takes on where it breaks below. P.S. • This is an Anthropic Labs product — NOT GA yet. • Claude Design is currently webapp only (no API), and does not yet support the Analytics API, Compliance API, or cost/usage reporting. • Availability: – Default ON for Pro / Max / Team – Default OFF for Enterprise Enterprise admins can toggle it on via RBAC in console (comes with a ~$20/user initial credit).

JJ Englert

32,445 просмотров • 4 месяцев назад

Interesting times in the maps space, and its exciting there is so much buzz - maps are awesome :) My parents Rakesh and Rashmi Verma pioneered digital mapping in India in 1995, returning from the US after a successful career there with the passion and desire to do something unique for India. And it’s been 20 years for me personally in the mapping space, since I was a 19-year old Stanford engineering undergraduate student and got involved in starting India’s first interactive mapping portal, I realise MapmyIndia is a relatively lesser known company amidst more consumer facing global and local players, so it would be great if this post can be amplified, so that more people can be made aware 🙏 Warm regards, Rohan Verma CEO & ED, MapmyIndia *** A few thoughts on maps: 1) Accuracy and quality of maps is critical. I’d caution folks to check out quality and reliability of maps by browsing those maps in areas familiar to them, and if they notice errors in them, in terms of incorrect places marked wrongly on the map, it should serve as a reminder not to rely on such maps. I’ve personally looked at the maps of various global and local players, and find so many inaccuracies, which confirms my belief that the difficult art and science of map-making is not as easy and people may imagine or claim. 2) What’s exciting about Mappls MapmyIndia, as a home-grown indigenous deep tech digital products and platforms company, is that not just did we pioneer digital mapping in India since 1995, when there were no other digital maps available for the country, but back then, and even now, we’ve always built the most cutting-edge tech to build the most capable maps and empower our customers, users and developers with the most comprehensive and advanced solutions. Over the last 15 or so years, there have actually been many global and local players who have come into the mapping market, yet for some reason or the other, they haven’t sustained or maintained quality. On our side we have continuously innovated in our products and tech - already bringing and making the most advanced featured available into our 4D HD maps covering 360 RealViews and 3D drone and digital twin based maps, immersive views and RealVerses - and focused on solving the needs of Indian consumers and enterprises, and served customers and users with humility, passion and consistency, with a solid and sustainable business model to ensure and provide a long-term reliable mapping solution for customers and the country. 3) Here’s an explainer video of our maps, tech & APIs which focus on how developers, users and customers can leverage our solutions to get their needs solved in the best way. Do watch - you’ll be pleasantly surprised and happy at the offering. 4) To try out as a developer for yourself, visit We’re glad that tens of thousands of developers, and their hundreds of millions of users, benefit from Mappls MapmyIndia Maps & APIs everyday, using both our free plans and our commercial plans. Do try for your own needs as a developer. 5) In one sense, the quality and capability of Mappls MapmyIndia is proven to be better and more useful and valuable through our free consumer Mappls MapmyIndia app (learn more and download from which has gotten love from millions of consumers who are able to navigate safer and better. MapmyIndia Mappls Rakesh Verma @RashmiV1956
15:29

Interesting times in the maps space, and its exciting there is so much buzz - maps are awesome :) My parents Rakesh and Rashmi Verma pioneered digital mapping in India in 1995, returning from the US after a successful career there with the passion and desire to do something unique for India. And it’s been 20 years for me personally in the mapping space, since I was a 19-year old Stanford engineering undergraduate student and got involved in starting India’s first interactive mapping portal, I realise MapmyIndia is a relatively lesser known company amidst more consumer facing global and local players, so it would be great if this post can be amplified, so that more people can be made aware 🙏 Warm regards, Rohan Verma CEO & ED, MapmyIndia *** A few thoughts on maps: 1) Accuracy and quality of maps is critical. I’d caution folks to check out quality and reliability of maps by browsing those maps in areas familiar to them, and if they notice errors in them, in terms of incorrect places marked wrongly on the map, it should serve as a reminder not to rely on such maps. I’ve personally looked at the maps of various global and local players, and find so many inaccuracies, which confirms my belief that the difficult art and science of map-making is not as easy and people may imagine or claim. 2) What’s exciting about Mappls MapmyIndia, as a home-grown indigenous deep tech digital products and platforms company, is that not just did we pioneer digital mapping in India since 1995, when there were no other digital maps available for the country, but back then, and even now, we’ve always built the most cutting-edge tech to build the most capable maps and empower our customers, users and developers with the most comprehensive and advanced solutions. Over the last 15 or so years, there have actually been many global and local players who have come into the mapping market, yet for some reason or the other, they haven’t sustained or maintained quality. On our side we have continuously innovated in our products and tech - already bringing and making the most advanced featured available into our 4D HD maps covering 360 RealViews and 3D drone and digital twin based maps, immersive views and RealVerses - and focused on solving the needs of Indian consumers and enterprises, and served customers and users with humility, passion and consistency, with a solid and sustainable business model to ensure and provide a long-term reliable mapping solution for customers and the country. 3) Here’s an explainer video of our maps, tech & APIs which focus on how developers, users and customers can leverage our solutions to get their needs solved in the best way. Do watch - you’ll be pleasantly surprised and happy at the offering. 4) To try out as a developer for yourself, visit We’re glad that tens of thousands of developers, and their hundreds of millions of users, benefit from Mappls MapmyIndia Maps & APIs everyday, using both our free plans and our commercial plans. Do try for your own needs as a developer. 5) In one sense, the quality and capability of Mappls MapmyIndia is proven to be better and more useful and valuable through our free consumer Mappls MapmyIndia app (learn more and download from which has gotten love from millions of consumers who are able to navigate safer and better. MapmyIndia Mappls Rakesh Verma @RashmiV1956

Rohan Verma

16,210 просмотров • 2 лет назад

How Cloudflare cut query times by 35x without leaving Postgres: Their Postgres tables hit billions of rows, and every time-range query started getting slower. Plain Postgres scans the entire table on every query, regardless of the time window. They tried the manual route by building precomputed aggregates with cron jobs and evaluating ClickHouse, which needed a full ingestion pipeline just to handle their write pattern. Here's where most teams get stuck at exactly this point. They utilize manual partitioning, splitting data into child tables by day or month. Then they wire up cron jobs to refresh aggregate tables. Every schema change after that requires updating the cron logic and coordinating across teams. The infrastructure becomes the project. Tiger Cloud is managed TimescaleDB by Tiger Data - Creators of TimescaleDB on the Postgres you already know, with automatic time-based partitioning, continuous aggregates, and compression built in from the start. Cloudflare moved to TimescaleDB after exhausting the manual route and saw 5-35x query performance improvement on the same data. Here is how it works: → Hypertables partition data by timestamp automatically. Every time-range query hits only the relevant chunk, not the full table. → Continuous aggregates refresh incrementally in the background, with no cron jobs to maintain. To show what this looks like in practice, I built a real-time earthquake intelligence dashboard on a 3D globe using Claude Code and Tiger Cloud in a single session. The USGS earthquake catalog has 400,000+ events since 1900, each a timestamped row. The dashboard plots them as ripple animations sized by magnitude and colored by depth, with a time slider that scrubs through 120 years of seismic history. Every slider position fires a live query against the hypertable, and the side panel pulls from continuous aggregates. Claude Code connected to Tiger Cloud through the Tiger CLI MCP server, provisioned the database, pulled the USGS catalog, and assembled the full Next.js and Three.js frontend without leaving the session. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud here: New accounts get $1,000 in free credits, no credit card required. → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build. I also wrote a full walkthrough on how you can turn any coding agent into a production-grade data engineer that can manage over a billion-row Postgres workloads. It covers everything from the database setup to the final build. Read it below.
0:55

How Cloudflare cut query times by 35x without leaving Postgres: Their Postgres tables hit billions of rows, and every time-range query started getting slower. Plain Postgres scans the entire table on every query, regardless of the time window. They tried the manual route by building precomputed aggregates with cron jobs and evaluating ClickHouse, which needed a full ingestion pipeline just to handle their write pattern. Here's where most teams get stuck at exactly this point. They utilize manual partitioning, splitting data into child tables by day or month. Then they wire up cron jobs to refresh aggregate tables. Every schema change after that requires updating the cron logic and coordinating across teams. The infrastructure becomes the project. Tiger Cloud is managed TimescaleDB by Tiger Data - Creators of TimescaleDB on the Postgres you already know, with automatic time-based partitioning, continuous aggregates, and compression built in from the start. Cloudflare moved to TimescaleDB after exhausting the manual route and saw 5-35x query performance improvement on the same data. Here is how it works: → Hypertables partition data by timestamp automatically. Every time-range query hits only the relevant chunk, not the full table. → Continuous aggregates refresh incrementally in the background, with no cron jobs to maintain. To show what this looks like in practice, I built a real-time earthquake intelligence dashboard on a 3D globe using Claude Code and Tiger Cloud in a single session. The USGS earthquake catalog has 400,000+ events since 1900, each a timestamped row. The dashboard plots them as ripple animations sized by magnitude and colored by depth, with a time slider that scrubs through 120 years of seismic history. Every slider position fires a live query against the hypertable, and the side panel pulls from continuous aggregates. Claude Code connected to Tiger Cloud through the Tiger CLI MCP server, provisioned the database, pulled the USGS catalog, and assembled the full Next.js and Three.js frontend without leaving the session. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud here: New accounts get $1,000 in free credits, no credit card required. → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build. I also wrote a full walkthrough on how you can turn any coding agent into a production-grade data engineer that can manage over a billion-row Postgres workloads. It covers everything from the database setup to the final build. Read it below.

Avi Chawla

22,094 просмотров • 12 дней назад

We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.
0:33

We are witnessing a fundamental shift in how software is built. Over the decades, UI was static and predictable. But AI is changing the fundamental nature of the interface. We are moving away from fixed UI and toward a new standard: Generative UI. Generative UI lets agents participate in the UI, not just the conversation. It’s a dynamic participant in the user experience. Depending on the complexity of your app, Generative UI generally falls into three categories: 1. Static (AG-UI): UI is chosen from a fixed set of hand-built components 2. Open-Ended (MCP Apps): agent sends arbitrary content like raw HTML or iframes for total flexibility. 3. Declarative (A2UI): agent and frontend communicate via a structured UI spec for dynamic widgets and forms. The AG-UI Protocol by CopilotKit is the real breakthrough. AG-UI acts as the universal transport layer. It provides the integrations and middleware for every Gen-UI spec, making it trivial to bring dynamic components into your existing app. CopilotKit provides the go-to ecosystem for building agentic applications and is the React client of AG-UI. It is designed to be deeply integrated, allowing developers to bring their own frameworks or protocols to the table. Play around with different types of Generative UI here → Check out the video attached to see Generative UI in action. Appreciate the CopilotKit team for collaborating with me on this deep dive.

Pratham

33,920 просмотров • 7 месяцев назад

What makes jack's Buzz special is it's built on Nostr. But wtf is Nostr? In the video below I explain why it allows Buzz to do things closed platforms can't, plus an example of building a custom solution on top of it for powerful workflows, e.g.: - Everything in Nostr is just a simple event: id, timestamp, kind, tags, content, signature. - You create an event, sign it, push it to relays. Relays are just servers, and anyone can run one. Buzz creates one for you on startup, or you can host your own. - No central server owns any of it and you can easily follow these events, whether they're from a person, agent, bot, whatever. - The events are the source of truth, not any one app's database, so it's easy to build on. And the openness of it allows improvements to compound. How I publish to Nostr to make Buzz more powerful: - In my last video I had Buzz build an API for our Wasp team tweet dashboard, then hit that API for stats. - This time I flipped it. The app runs a daily job that publishes an event to Nostr, and a Buzz channel subscribes to it. - Every morning our team chat gets the stats: who pulled the most impressions in the last 7 days, what the top tweets were, etc. - Then I tag our agent in the thread like "pull out some recurring themes in our top tweets." It has the whole channel as context and just answers. Why this matters: - To wire my app into our team chat I didn't log into a platform, request API tokens, or install anyone's SDK. I was easily able to get two apps talking through an open protocol instead of an integration. - You're not limited to what a closed-source vendor decides to expose. You can do anything the protocol allows. I love this! - Agents sitting in the channel as members means the data lands where the conversation already is, and they can act on it. Repo for the Nostr app example is on GitHub, link in a comment below.
3:34

What makes jack's Buzz special is it's built on Nostr. But wtf is Nostr? In the video below I explain why it allows Buzz to do things closed platforms can't, plus an example of building a custom solution on top of it for powerful workflows, e.g.: - Everything in Nostr is just a simple event: id, timestamp, kind, tags, content, signature. - You create an event, sign it, push it to relays. Relays are just servers, and anyone can run one. Buzz creates one for you on startup, or you can host your own. - No central server owns any of it and you can easily follow these events, whether they're from a person, agent, bot, whatever. - The events are the source of truth, not any one app's database, so it's easy to build on. And the openness of it allows improvements to compound. How I publish to Nostr to make Buzz more powerful: - In my last video I had Buzz build an API for our Wasp team tweet dashboard, then hit that API for stats. - This time I flipped it. The app runs a daily job that publishes an event to Nostr, and a Buzz channel subscribes to it. - Every morning our team chat gets the stats: who pulled the most impressions in the last 7 days, what the top tweets were, etc. - Then I tag our agent in the thread like "pull out some recurring themes in our top tweets." It has the whole channel as context and just answers. Why this matters: - To wire my app into our team chat I didn't log into a platform, request API tokens, or install anyone's SDK. I was easily able to get two apps talking through an open protocol instead of an integration. - You're not limited to what a closed-source vendor decides to expose. You can do anything the protocol allows. I love this! - Agents sitting in the channel as members means the data lands where the conversation already is, and they can act on it. Repo for the Nostr app example is on GitHub, link in a comment below.

Vinny

93,230 просмотров • 1 месяц назад

🚨BOMBSHELL: Charlie Kirk Was “SLATED FOR TERMINATION” in December 2024 – His Friend Was Deliberately STOPPED from SAVING HIM! 😱 A longtime friend and security expert who knew Charlie Kirk since his teenage years has come forward with chilling details about the conservative leader's final months. This individual, a founding member of the Oath Keepers with extensive experience protecting political figures, received desperate messages from Kirk in December 2024—messages that conveyed unmistakable fear for his life and an urgent plea to overhaul his security detail. According to the testimony, Kirk's communications were not casual inquiries but insistent appeals, laced with an intensity that suggested he perceived a specific, imminent threat. "He was aware that he was in danger," the friend recounts, emphasizing that Kirk, who had never previously enlisted his services for events, reached out repeatedly despite the friend's own battle with severe Legionnaires' pneumonia at the time. Plans for an in-person meeting in Phoenix on January 25, 2025, were repeatedly thwarted by a cascade of suspicious events: a debilitating illness that delayed the rendezvous, followed by a heated confrontation with a new neighbor just three days prior. This neighbor, identifying himself as a former police officer and college professor, allegedly escalated the discussion into outright threats. Defending Kirk during a political debate, the friend was stunned when the man declared, "Charlie Kirk had been slated for termination." The conversation turned personal moments later, with the neighbor claiming the friend himself had been "signed for reprogramming." What began as words erupted into a physical altercation, resulting in the friend's arrest on misdemeanor domestic violence charges—locking him in jail precisely on the scheduled meeting date with Charlie. This sequence, the friend asserts, was no coincidence. He views it as a deliberate military-style operation designed to intercept the meeting and silence a potential warning. After Kirk's assassination on September 10, 2025, at Utah Valley University the friend attempted to alert the FBI in Phoenix and Utah after the shooting, but was met with complete silence, mirroring reports from eyewitnesses at the event who say their statements were never solicited by police or the FBI either. Two profound questions emerge from this account: 1.) What did Charlie Kirk know in December 2024? His urgency implies foreknowledge of a credible plot—perhaps betrayal within his inner circle or intelligence about a coordinated threat. Why reach out to a retired security veteran he trusted from over a decade ago, even offering payment for help? Did He suspect his own security was compromised. 2.) Was the assassination premeditated far earlier than believed? The neighbor's casual reference to "termination" in January, combined with the orchestrated barriers to intervention, points to a conspiracy already in motion. Regardless who actually pulled the trigger, we need to know who set the plan in place—and why was a warning systematically blocked? This testimony, captured in a raw phone interview (starting at the 5:45 timestamp), exposes potential cracks in the official narrative and raises alarms about unchecked political violence. As investigations continue amid bipartisan calls for enhanced protections, we must demand transparency. Kirk's death was not merely a tragedy; it may have been foretold—and preventable. What are your thoughts? RT & Share below, and let's honor Charlie's legacy by seeking the full truth.
18:53

🚨BOMBSHELL: Charlie Kirk Was “SLATED FOR TERMINATION” in December 2024 – His Friend Was Deliberately STOPPED from SAVING HIM! 😱 A longtime friend and security expert who knew Charlie Kirk since his teenage years has come forward with chilling details about the conservative leader's final months. This individual, a founding member of the Oath Keepers with extensive experience protecting political figures, received desperate messages from Kirk in December 2024—messages that conveyed unmistakable fear for his life and an urgent plea to overhaul his security detail. According to the testimony, Kirk's communications were not casual inquiries but insistent appeals, laced with an intensity that suggested he perceived a specific, imminent threat. "He was aware that he was in danger," the friend recounts, emphasizing that Kirk, who had never previously enlisted his services for events, reached out repeatedly despite the friend's own battle with severe Legionnaires' pneumonia at the time. Plans for an in-person meeting in Phoenix on January 25, 2025, were repeatedly thwarted by a cascade of suspicious events: a debilitating illness that delayed the rendezvous, followed by a heated confrontation with a new neighbor just three days prior. This neighbor, identifying himself as a former police officer and college professor, allegedly escalated the discussion into outright threats. Defending Kirk during a political debate, the friend was stunned when the man declared, "Charlie Kirk had been slated for termination." The conversation turned personal moments later, with the neighbor claiming the friend himself had been "signed for reprogramming." What began as words erupted into a physical altercation, resulting in the friend's arrest on misdemeanor domestic violence charges—locking him in jail precisely on the scheduled meeting date with Charlie. This sequence, the friend asserts, was no coincidence. He views it as a deliberate military-style operation designed to intercept the meeting and silence a potential warning. After Kirk's assassination on September 10, 2025, at Utah Valley University the friend attempted to alert the FBI in Phoenix and Utah after the shooting, but was met with complete silence, mirroring reports from eyewitnesses at the event who say their statements were never solicited by police or the FBI either. Two profound questions emerge from this account: 1.) What did Charlie Kirk know in December 2024? His urgency implies foreknowledge of a credible plot—perhaps betrayal within his inner circle or intelligence about a coordinated threat. Why reach out to a retired security veteran he trusted from over a decade ago, even offering payment for help? Did He suspect his own security was compromised. 2.) Was the assassination premeditated far earlier than believed? The neighbor's casual reference to "termination" in January, combined with the orchestrated barriers to intervention, points to a conspiracy already in motion. Regardless who actually pulled the trigger, we need to know who set the plan in place—and why was a warning systematically blocked? This testimony, captured in a raw phone interview (starting at the 5:45 timestamp), exposes potential cracks in the official narrative and raises alarms about unchecked political violence. As investigations continue amid bipartisan calls for enhanced protections, we must demand transparency. Kirk's death was not merely a tragedy; it may have been foretold—and preventable. What are your thoughts? RT & Share below, and let's honor Charlie's legacy by seeking the full truth.

Project Constitution

574,036 просмотров • 9 месяцев назад

🚨 BOMBSHELL EXPOSÉ: Pastor Rob McCoy CAUGHT LYING About His Son's "Heroic" Actions After Charlie Kirk's Assassination!😡 In a fiery Sunday sermon, Pastor Rob McCoy painted a heroic picture of his 24-year-old son, Mikey McCoy—Charlie Kirk's personal chef, chief of staff, and supposed best friend who was right by his side at UVU on that fateful day. Rob claimed: "The minute Charlie was shot, he called me... 'Dad, Charlie's been shot in the neck. Please call every pastor and pray.' ... He had wits about him, he was just directing, he had blood all over him... Still there, phone in his hand, texting, talking." But here's the gut-wrenching TRUTH—we have crystal-clear VIDEO PROOF that shatters this fairy tale to pieces. Watch as Mikey stands just feet from Charlie at the edge of the tent when the shot rings out. Instead of rushing to help his "dying friend," Mikey slowly and casually turns his back on Charlie, walks away behind the tent, pulls out his phone, and makes a call. He strolls all the way past the road, far from the chaos, showing zero panic, zero urgency, zero care for Charlie bleeding out. No sprinting to aid. No blood on his clothes from trying to save a life. No leadership—just cold abandonment. Mikey, who spent the morning loyally filming everything by Charlie's side, suddenly ghosts the scene like a coward. Shock? Or something far more sinister? He walks away cool, calm, and collected... as if he KNEW the shot was coming. Pastor Rob's lies aren't just heartbreaking—they're a blatant cover-up for betrayal in the wake of Charlie Kirk's murder. Was Mikey complicit? Why ditch your best friend in his final moments for a phone call? This stinks of deep deception, and the McCoys owe America answers. Demand justice! SHARE this far and wide to expose the fraud —get this on every feed! Who's got the guts to grill Pastor Rob on camera? The truth about Charlie's death can't be buried under sermons.
2:21

🚨 BOMBSHELL EXPOSÉ: Pastor Rob McCoy CAUGHT LYING About His Son's "Heroic" Actions After Charlie Kirk's Assassination!😡 In a fiery Sunday sermon, Pastor Rob McCoy painted a heroic picture of his 24-year-old son, Mikey McCoy—Charlie Kirk's personal chef, chief of staff, and supposed best friend who was right by his side at UVU on that fateful day. Rob claimed: "The minute Charlie was shot, he called me... 'Dad, Charlie's been shot in the neck. Please call every pastor and pray.' ... He had wits about him, he was just directing, he had blood all over him... Still there, phone in his hand, texting, talking." But here's the gut-wrenching TRUTH—we have crystal-clear VIDEO PROOF that shatters this fairy tale to pieces. Watch as Mikey stands just feet from Charlie at the edge of the tent when the shot rings out. Instead of rushing to help his "dying friend," Mikey slowly and casually turns his back on Charlie, walks away behind the tent, pulls out his phone, and makes a call. He strolls all the way past the road, far from the chaos, showing zero panic, zero urgency, zero care for Charlie bleeding out. No sprinting to aid. No blood on his clothes from trying to save a life. No leadership—just cold abandonment. Mikey, who spent the morning loyally filming everything by Charlie's side, suddenly ghosts the scene like a coward. Shock? Or something far more sinister? He walks away cool, calm, and collected... as if he KNEW the shot was coming. Pastor Rob's lies aren't just heartbreaking—they're a blatant cover-up for betrayal in the wake of Charlie Kirk's murder. Was Mikey complicit? Why ditch your best friend in his final moments for a phone call? This stinks of deep deception, and the McCoys owe America answers. Demand justice! SHARE this far and wide to expose the fraud —get this on every feed! Who's got the guts to grill Pastor Rob on camera? The truth about Charlie's death can't be buried under sermons.

Project Constitution

5,184,560 просмотров • 10 месяцев назад

I've improved the NotebookLM script on my news site: The pattern? Have my AI agent grab all posts from the AI community here on X via the X API. About 30,000 every day. Costs about $150 a day. This is why lists on X are so important (I have the most complete lists of the tech community here on X by far, and they are all public so you can build your own systems like this). Then my AI agent, built by Brayden Levangie and me, analyzes all of them, builds the website above, and it writes a script for NotebookLM, which largely is the same as the essay you see on the top of that page. At the bottom of the page is a "copy script" button for NotebookLM users. You can copy the script, paste it into NotebookLM, which then can build you a podcast (which I like a lot better than the videos it generates, which I include here from today's script). It updates three times a day, around 8 a.m., noon, and 6 p.m. If major news is breaking I update it more often. Why do I call this a pattern? Because you'll see this pattern used a lot more to build personalized news systems. Next on the priority list? Get my newsletter to work and send out to the thousands who have subscribed (thank you for being patient). Unfortunately beehiiv 🐝 hasn't turned on automatic posting yet, so am looking at other email systems that can be automated, like Resend. Eventually I want to turn this into an automatically generated news show with HeyGen. Thanks for putting up with my agent that has been spitting out bad links lately, Brayden and I have been working on that behind the scenes to make the system more reliable. What do you think about the news site? I built it because it is just impossible for anyone to read the 30,000 posts a day that the AI industry generates here on X. Hope it helps you keep up with the models, papers, robots, company news, events, and more that everyone posts here, but that X itself has made it hard to find due to an inferior search system and an algorithm that only brings a certain kind of post to your ForYou feed, which hides a TON of interesting stuff being shared here. My lists at are getting a LOT more complete and better, been working hard on those and watch them all day long because the quality of the lists (and completeness) makes this whole pattern better.
3:32

I've improved the NotebookLM script on my news site: The pattern? Have my AI agent grab all posts from the AI community here on X via the X API. About 30,000 every day. Costs about $150 a day. This is why lists on X are so important (I have the most complete lists of the tech community here on X by far, and they are all public so you can build your own systems like this). Then my AI agent, built by Brayden Levangie and me, analyzes all of them, builds the website above, and it writes a script for NotebookLM, which largely is the same as the essay you see on the top of that page. At the bottom of the page is a "copy script" button for NotebookLM users. You can copy the script, paste it into NotebookLM, which then can build you a podcast (which I like a lot better than the videos it generates, which I include here from today's script). It updates three times a day, around 8 a.m., noon, and 6 p.m. If major news is breaking I update it more often. Why do I call this a pattern? Because you'll see this pattern used a lot more to build personalized news systems. Next on the priority list? Get my newsletter to work and send out to the thousands who have subscribed (thank you for being patient). Unfortunately beehiiv 🐝 hasn't turned on automatic posting yet, so am looking at other email systems that can be automated, like Resend. Eventually I want to turn this into an automatically generated news show with HeyGen. Thanks for putting up with my agent that has been spitting out bad links lately, Brayden and I have been working on that behind the scenes to make the system more reliable. What do you think about the news site? I built it because it is just impossible for anyone to read the 30,000 posts a day that the AI industry generates here on X. Hope it helps you keep up with the models, papers, robots, company news, events, and more that everyone posts here, but that X itself has made it hard to find due to an inferior search system and an algorithm that only brings a certain kind of post to your ForYou feed, which hides a TON of interesting stuff being shared here. My lists at are getting a LOT more complete and better, been working hard on those and watch them all day long because the quality of the lists (and completeness) makes this whole pattern better.

Robert Scoble

23,513 просмотров • 1 месяц назад

I spent 20 years architecting AAA game engines, going back to the PlayStation 1. I wrote all of that by hand. This one I did not. It is a stylized real time digital twin of the SF Bay Area, built from scratch in C++ and Vulkan. The geometry is real, the look is not. It is meant to read as a painted model of the Bay rather than a photo of it, because a photoreal copy of a place you can already see from a satellite is not worth building. The world is an 80 km square, about 6,400 km², and all of it is built from open data. USGS 3DEP 1 m lidar for the terrain. NOAA CoNED for the bay floor. USGS NHD for water. ESA WorldCover for land cover. OpenStreetMap for footprints and roads. That comes to 13 GB of streamed tiles, and 9.8 GB of it is terrain. Past the edge there is a 420 km coarse ring on Copernicus GLO-30, so the horizon does not end at a flat edge. Distant ridgelines bend down below it. There are 424,787 real building footprints in there, extruded procedurally, with heights off OSM tags and a plausibility gate that drops anything whose tagged height will not fit its own footprint. Across the whole 80 km box it rejects exactly 8 buildings, four of them towers carrying a bad height tag that used to extrude as needles over a derelict pier at Hunters Point. On top sit 41 landmarks at their real coordinates, authored by Fable as parametric Blender scripts rather than sculpted: Golden Gate, Transamerica, Coit, Sutro, Salesforce, the Ferry Building. Each one switches off the generated building underneath it. The simulation is the actual point. A 24 hour recording of real feeds plays back on a clock inside the app, at 1x up to 2000x. Caltrans PeMS for highway flow, 511 for Caltrain, OpenSky for flights, AIS for boats, METAR at SFO, OAK and SJC, and HRRR for weather. 165,356 samples across those 8 feeds. Cars spawn at the volume PeMS measured on that segment. Trains run the delays 511 reported. Planes fly the tracks OpenSky recorded. It is replay, not a live stream. Live polling is next and feeds the same clock, so it is a source swap rather than a rewrite. There is also a globe. You pick the Bay from orbit, fly down to the surface, and back out again. Reversed Z depth, HDR with a filmic tonemap, dual filter bloom, a time of day grade, and a volumetric marine layer for Karl the fog. AI agents write the issues, set the constraints, make the art direction calls, and review and validate every line of the roughly 235,000 lines of C++, GLSL, Python and PowerShell. What I built is the orchestration that holds it together, and the judgement on top of it: what to build, what to cut, and when to accept the result. The language choice is doing real work here. The hard part of AI written software is not producing the code. It is proving the code is right. C++ and Vulkan are unusually good at that, because nothing is hidden: every resource, every frame, every buffer you can read back. 28 golden image scenes compared by SSIM. An MCP server that drives the running app, so an agent can move the camera, set a sky preset, take a screenshot, and read the streaming counters back out. It validates against a live process instead of against its own diff. And a reviewer agent whose only job is to work out what the issue asked for before it reads the summary the PR wrote about itself. So I think C++ and Vulkan stay the heavy duty layer through the AI era. Not in spite of being low level. Because being performant, deterministic and checkable is exactly what an agent loop needs to push against. A managed engine hides the state that verification depends on. This is a hobby project, and it has nothing to do with my day job. Clips are below. More as I go. Map data © OpenStreetMap contributors (ODbL). Land cover: ESA WorldCover 2021 (CC BY 4.0). Terrain: USGS 3DEP and NOAA. Flight data: OpenSky Network. #Vulkan #cpp #gamedev #digitaltwin #OpenStreetMap
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I spent 20 years architecting AAA game engines, going back to the PlayStation 1. I wrote all of that by hand. This one I did not. It is a stylized real time digital twin of the SF Bay Area, built from scratch in C++ and Vulkan. The geometry is real, the look is not. It is meant to read as a painted model of the Bay rather than a photo of it, because a photoreal copy of a place you can already see from a satellite is not worth building. The world is an 80 km square, about 6,400 km², and all of it is built from open data. USGS 3DEP 1 m lidar for the terrain. NOAA CoNED for the bay floor. USGS NHD for water. ESA WorldCover for land cover. OpenStreetMap for footprints and roads. That comes to 13 GB of streamed tiles, and 9.8 GB of it is terrain. Past the edge there is a 420 km coarse ring on Copernicus GLO-30, so the horizon does not end at a flat edge. Distant ridgelines bend down below it. There are 424,787 real building footprints in there, extruded procedurally, with heights off OSM tags and a plausibility gate that drops anything whose tagged height will not fit its own footprint. Across the whole 80 km box it rejects exactly 8 buildings, four of them towers carrying a bad height tag that used to extrude as needles over a derelict pier at Hunters Point. On top sit 41 landmarks at their real coordinates, authored by Fable as parametric Blender scripts rather than sculpted: Golden Gate, Transamerica, Coit, Sutro, Salesforce, the Ferry Building. Each one switches off the generated building underneath it. The simulation is the actual point. A 24 hour recording of real feeds plays back on a clock inside the app, at 1x up to 2000x. Caltrans PeMS for highway flow, 511 for Caltrain, OpenSky for flights, AIS for boats, METAR at SFO, OAK and SJC, and HRRR for weather. 165,356 samples across those 8 feeds. Cars spawn at the volume PeMS measured on that segment. Trains run the delays 511 reported. Planes fly the tracks OpenSky recorded. It is replay, not a live stream. Live polling is next and feeds the same clock, so it is a source swap rather than a rewrite. There is also a globe. You pick the Bay from orbit, fly down to the surface, and back out again. Reversed Z depth, HDR with a filmic tonemap, dual filter bloom, a time of day grade, and a volumetric marine layer for Karl the fog. AI agents write the issues, set the constraints, make the art direction calls, and review and validate every line of the roughly 235,000 lines of C++, GLSL, Python and PowerShell. What I built is the orchestration that holds it together, and the judgement on top of it: what to build, what to cut, and when to accept the result. The language choice is doing real work here. The hard part of AI written software is not producing the code. It is proving the code is right. C++ and Vulkan are unusually good at that, because nothing is hidden: every resource, every frame, every buffer you can read back. 28 golden image scenes compared by SSIM. An MCP server that drives the running app, so an agent can move the camera, set a sky preset, take a screenshot, and read the streaming counters back out. It validates against a live process instead of against its own diff. And a reviewer agent whose only job is to work out what the issue asked for before it reads the summary the PR wrote about itself. So I think C++ and Vulkan stay the heavy duty layer through the AI era. Not in spite of being low level. Because being performant, deterministic and checkable is exactly what an agent loop needs to push against. A managed engine hides the state that verification depends on. This is a hobby project, and it has nothing to do with my day job. Clips are below. More as I go. Map data © OpenStreetMap contributors (ODbL). Land cover: ESA WorldCover 2021 (CC BY 4.0). Terrain: USGS 3DEP and NOAA. Flight data: OpenSky Network. #Vulkan #cpp #gamedev #digitaltwin #OpenStreetMap

Xiang Wei

78,448 просмотров • 16 дней назад

This AI system created a viral Instagram reel with 4.1M views... completely on autopilot (linked below). These millions of views led to 10,000+ newsletter subscribers for my AI newsletter @therecapai While most creators burn out from the daily content grind, I built an n8n automation that transforms raw AI news into scroll-stopping short-form video. Here's what happens behind the scenes: → Data ingestion agents scrape Twitter, Reddit, and top AI blogs 24/7 → AI analyzes hundreds of stories and picks the top 3-5 most engaging ones → Advanced prompts craft multiple hook variations and full video scripts → HeyGen generates AI clone of me speaking script → Video editor in india ads B roll → Everything gets delivered to Slack for quick review and approval This system has brought my Instagram account to 16,000+ followers in just a few months. That's the power of consistent, data-driven content creation. I just released a deep-dive tutorial showing exactly how this works, including the prompts I literally spent hours on making it all possible. Want me to send it to you? Like & RT this post Follow so I can DM you Comment 'SYSTEM' and I'll share the complete workflow template + all the prompts. Your next viral video is literally just one automation away.
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This AI system created a viral Instagram reel with 4.1M views... completely on autopilot (linked below). These millions of views led to 10,000+ newsletter subscribers for my AI newsletter @therecapai While most creators burn out from the daily content grind, I built an n8n automation that transforms raw AI news into scroll-stopping short-form video. Here's what happens behind the scenes: → Data ingestion agents scrape Twitter, Reddit, and top AI blogs 24/7 → AI analyzes hundreds of stories and picks the top 3-5 most engaging ones → Advanced prompts craft multiple hook variations and full video scripts → HeyGen generates AI clone of me speaking script → Video editor in india ads B roll → Everything gets delivered to Slack for quick review and approval This system has brought my Instagram account to 16,000+ followers in just a few months. That's the power of consistent, data-driven content creation. I just released a deep-dive tutorial showing exactly how this works, including the prompts I literally spent hours on making it all possible. Want me to send it to you? Like & RT this post Follow so I can DM you Comment 'SYSTEM' and I'll share the complete workflow template + all the prompts. Your next viral video is literally just one automation away.

David Roberts

13,124 просмотров • 10 месяцев назад

🧵 PART 2: PHYSICS PROVES THE TRUTH – Shooter on BA Building Roof, NOT Losee! FBI LYING to Frame Innocent Tyler Robinson! Remember Part 1? We color-analyzed the CRIMSON BLOOD pooling in Charlie Kirk's RIGHT EAR CANAL – matching the exit wound on his LEFT NECK. Entry confirmed. Now, physics seals it. Using ECHOLOCATION SOUND ANALYSIS (like bats triangulate prey), Gideon's team pinpointed the exact shooter's location on the BA BUILDING ROOF. Every phone has 2 microphones; So by using both stereo mics on the video it show sound waves hitting BOTH channels SIMULTANEOUSLY – this tells us the shooters direction: DEAD AT BA CORNER. Irrefutable! No way from the sound came from the Losee Bldg. Trajectory? The bullet's trajectory is EXACTLY 8.4° OFF HIS BACK (3 O'CLOCK), 22° ELEVATION. The Bullet Entered through his RIGHT EAR CANAL, EXITED out his NECK. Gideon's 3D model plots it PERFECTLY. That "flash"? NOT a muzzle flash – it's a VAPOR CLOUD as the bullet drops SUPERSONIC → SUBSONIC. Triangulated via reflections/windows/pink backpack that LINES UP EXACTLY on BA trajectory. 🔴IR laser on Frank Turek's phone? FROM BA sniper. 🔴Bullet captured mid-air on video? FROM BA sniper potion. 🔴Suspicious guy RUNNING post-shot? FROM BA sniper position. 🔴 Witnesses turning their heads to the left? towards towards the BA building. All eyes there IMMEDIATELY. Tyler? 100% a PATSY. Involved? Maybe. Shooter? IMPOSSIBLE – physics says NO. The shot was not taken from the Losee Bldg. FBI: Must DROP THE CASE! He's innocent – you're railroading a kid for the DEEP STATE? Gideon’s FULL SOUND ANALYSIS drops soon: Proving 2+ shooters via echoes/building reflections. MORE locations via physics. Follow & 🔔 ON – truth incoming! – This is IRREFUTABLE. Free Tyler NOW! TAG Candace Owens FBI and RT to SPREAD THE WORD! Who's with us? 🔥 Special Shoutout to My Guest WeAreNotGoingToMars and also special thanks to Audio:Freq Studios who work with Gideon as a team to put together the Sound analysis for us pinpointing the location of the shooter. Please go FOLLOW all these guys as they are doing tremendous work on the CK case. Lastly Be sure to checkout PART 1 which is attached below this one for the whole perspective. 👇
47:25

🧵 PART 2: PHYSICS PROVES THE TRUTH – Shooter on BA Building Roof, NOT Losee! FBI LYING to Frame Innocent Tyler Robinson! Remember Part 1? We color-analyzed the CRIMSON BLOOD pooling in Charlie Kirk's RIGHT EAR CANAL – matching the exit wound on his LEFT NECK. Entry confirmed. Now, physics seals it. Using ECHOLOCATION SOUND ANALYSIS (like bats triangulate prey), Gideon's team pinpointed the exact shooter's location on the BA BUILDING ROOF. Every phone has 2 microphones; So by using both stereo mics on the video it show sound waves hitting BOTH channels SIMULTANEOUSLY – this tells us the shooters direction: DEAD AT BA CORNER. Irrefutable! No way from the sound came from the Losee Bldg. Trajectory? The bullet's trajectory is EXACTLY 8.4° OFF HIS BACK (3 O'CLOCK), 22° ELEVATION. The Bullet Entered through his RIGHT EAR CANAL, EXITED out his NECK. Gideon's 3D model plots it PERFECTLY. That "flash"? NOT a muzzle flash – it's a VAPOR CLOUD as the bullet drops SUPERSONIC → SUBSONIC. Triangulated via reflections/windows/pink backpack that LINES UP EXACTLY on BA trajectory. 🔴IR laser on Frank Turek's phone? FROM BA sniper. 🔴Bullet captured mid-air on video? FROM BA sniper potion. 🔴Suspicious guy RUNNING post-shot? FROM BA sniper position. 🔴 Witnesses turning their heads to the left? towards towards the BA building. All eyes there IMMEDIATELY. Tyler? 100% a PATSY. Involved? Maybe. Shooter? IMPOSSIBLE – physics says NO. The shot was not taken from the Losee Bldg. FBI: Must DROP THE CASE! He's innocent – you're railroading a kid for the DEEP STATE? Gideon’s FULL SOUND ANALYSIS drops soon: Proving 2+ shooters via echoes/building reflections. MORE locations via physics. Follow & 🔔 ON – truth incoming! – This is IRREFUTABLE. Free Tyler NOW! TAG Candace Owens FBI and RT to SPREAD THE WORD! Who's with us? 🔥 Special Shoutout to My Guest WeAreNotGoingToMars and also special thanks to Audio:Freq Studios who work with Gideon as a team to put together the Sound analysis for us pinpointing the location of the shooter. Please go FOLLOW all these guys as they are doing tremendous work on the CK case. Lastly Be sure to checkout PART 1 which is attached below this one for the whole perspective. 👇

Project Constitution

64,656 просмотров • 10 месяцев назад

Here's a copy/paste prompt recipe and vid showing exactly how to ask an LLM for an interactive map with satellite/map layers + a georeferencer that lets you see how old maps correspond with modern geography. Today the computer can’t make good print maps (that's your hill to climb ) but it can, with five bucks and twenty minutes, make good interactive maps. No software/GIS knowledge necessary, you just need a few nouns and an LLM. Scroll to the bottom for the repo/live map if you want those. I'm using Claude Code as an extension in VS Code but you can use the Claude CLI, Cursor, whatever. 1) Let's grab an old cadastral map and see who owned big tracts of a city; I found this an 1854 map of Niagara Falls, NY I found in the Library of Congress: , grabbed the .jp2, saved as a jpg from photoshop. 2) Let's ask Claude Code for a map. You can see exactly what I did in the video but my prompt, sans simple "hey it's busted" debugging, is written out in the following paragraphs. I explain the map-specific nouns in brackets. You can likely dump this whole thing in your LLM window and it'll work; I'd try plan mode + skip permissions. THE PROMPT Make an interactive map with MapLibre GL JS [maplibre is a javascript mapping library, a FOSS version of Mapbox GL JS. This lets us display tiled map data and arbitrary images on the map] Add basemap toggles with Esri satellite, Carto Positron, and OSM [these map layers require no API keys for light usage; Carto Positron is a nice road map layer and OSM is ugly but comprehensive] Add a globe/mercator projection toggle [I think the globe looks better at low zooms] Add a layer panel on the left with visibility checkboxes and delete buttons. Add a search box on the map that flies to results, with deletable pin markers [Makes this easy to get to your area of interest] Include an interactive local georeferencer: drop a JPG, pick ground control points on a zoomable/pannable image viewer, place them on the map, watch it warp with a progress bar centered on the map. [The georeferencer uses math ("affine transform"??) to match points on the old map to points on the new map; generally you click road intersections on the old map, match them on the new map, repeat a dozen times and everything aligns] The georeferenced map overlay defaults to 25% opacity with a slider above the control point list. [I want it easy to see the underlying modern geography] Add Export/import control point buttons [this saves the control points as a JSON so you can save and reimport your work] Add a button to export the warped image as a GeoTIFF with a .prj [In case you want to add the georeferenced image to a real GIS program like QGIS] Look up all relevant docs before starting [Claude sometimes uses outdated stuff] Split everything into separate HTML/CSS/JS files [Claude tends to pile everything in index.html, which is hard to read] Use Optima font, base color #FEFAF6 [I just like this style] Let me test with a local server [it serves it on a simple server so you can nav your host to localhost:8000 and try it out] Log all errors [so you don't have to play telephone with the LLM describing what's busted] 3) Once your LLM finishes, test it out in your browser; if it doesn't work, ask the LLM to check logs. Repeat 'til functional. 4) After this works on your computer, you can show it to everyone by hosting it on GitHub: prompt with "write a README explaining what everything does, add it to a new GitHub repo, deploy using GitHub pages, gimme the live URL" Here's what Claude made for me, try it yourself: • Upload the JPG in the repo, which is linked below • "Add GCP" • Click somewhere recognizable on the old map, like the tip of an island or a road intersection • Click the matching point on the new map • Repeat til you have least 3x points • Hit "georeference" • You'll see the old map atop the new map; if you want a better fit, delete bad points or add a dozen new ones, hit georeference again, repeat Repo: Is this map robust? Human-maintainable? Elegant? Performant? Secure? No, but *your* personal web map need not be. It just needs to work for *your* narrow use case, because it’s *your* map.
28:20

Here's a copy/paste prompt recipe and vid showing exactly how to ask an LLM for an interactive map with satellite/map layers + a georeferencer that lets you see how old maps correspond with modern geography. Today the computer can’t make good print maps (that's your hill to climb ) but it can, with five bucks and twenty minutes, make good interactive maps. No software/GIS knowledge necessary, you just need a few nouns and an LLM. Scroll to the bottom for the repo/live map if you want those. I'm using Claude Code as an extension in VS Code but you can use the Claude CLI, Cursor, whatever. 1) Let's grab an old cadastral map and see who owned big tracts of a city; I found this an 1854 map of Niagara Falls, NY I found in the Library of Congress: , grabbed the .jp2, saved as a jpg from photoshop. 2) Let's ask Claude Code for a map. You can see exactly what I did in the video but my prompt, sans simple "hey it's busted" debugging, is written out in the following paragraphs. I explain the map-specific nouns in brackets. You can likely dump this whole thing in your LLM window and it'll work; I'd try plan mode + skip permissions. THE PROMPT Make an interactive map with MapLibre GL JS [maplibre is a javascript mapping library, a FOSS version of Mapbox GL JS. This lets us display tiled map data and arbitrary images on the map] Add basemap toggles with Esri satellite, Carto Positron, and OSM [these map layers require no API keys for light usage; Carto Positron is a nice road map layer and OSM is ugly but comprehensive] Add a globe/mercator projection toggle [I think the globe looks better at low zooms] Add a layer panel on the left with visibility checkboxes and delete buttons. Add a search box on the map that flies to results, with deletable pin markers [Makes this easy to get to your area of interest] Include an interactive local georeferencer: drop a JPG, pick ground control points on a zoomable/pannable image viewer, place them on the map, watch it warp with a progress bar centered on the map. [The georeferencer uses math ("affine transform"??) to match points on the old map to points on the new map; generally you click road intersections on the old map, match them on the new map, repeat a dozen times and everything aligns] The georeferenced map overlay defaults to 25% opacity with a slider above the control point list. [I want it easy to see the underlying modern geography] Add Export/import control point buttons [this saves the control points as a JSON so you can save and reimport your work] Add a button to export the warped image as a GeoTIFF with a .prj [In case you want to add the georeferenced image to a real GIS program like QGIS] Look up all relevant docs before starting [Claude sometimes uses outdated stuff] Split everything into separate HTML/CSS/JS files [Claude tends to pile everything in index.html, which is hard to read] Use Optima font, base color #FEFAF6 [I just like this style] Let me test with a local server [it serves it on a simple server so you can nav your host to localhost:8000 and try it out] Log all errors [so you don't have to play telephone with the LLM describing what's busted] 3) Once your LLM finishes, test it out in your browser; if it doesn't work, ask the LLM to check logs. Repeat 'til functional. 4) After this works on your computer, you can show it to everyone by hosting it on GitHub: prompt with "write a README explaining what everything does, add it to a new GitHub repo, deploy using GitHub pages, gimme the live URL" Here's what Claude made for me, try it yourself: • Upload the JPG in the repo, which is linked below • "Add GCP" • Click somewhere recognizable on the old map, like the tip of an island or a road intersection • Click the matching point on the new map • Repeat til you have least 3x points • Hit "georeference" • You'll see the old map atop the new map; if you want a better fit, delete bad points or add a dozen new ones, hit georeference again, repeat Repo: Is this map robust? Human-maintainable? Elegant? Performant? Secure? No, but *your* personal web map need not be. It just needs to work for *your* narrow use case, because it’s *your* map.

Evan Applegate

15,772 просмотров • 5 месяцев назад