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🖥️ Orage Studio's site feels like a VFX pipeline running inside an 80s mainframe. Custom WebGL grid with canvas-masked video tiles, shader-driven flicker effects, and a draggable menu. The loader even mimics a system boot. 🔗 Built by: Beaucoup. #WebGL #ThreeJS #CreativeDev #WebDesign #ShaderArt

WebGL / WebGPU

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10,447 просмотров • 6 месяцев назад •via X (Twitter)

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What if your website felt like a living canvas? 💣 I built a WebGL experiment to test that idea. A reactive image grid powered by Three.js + GSAP + Webflow , where every tile bends, scales and reacts to your cursor like a soft “force field”. 🔗 Live demo: 🔗 Case study on Contra #WebGL #ThreeJS #GSAP #CreativeCoding #Webflow #InteractionDesign

What if your website felt like a living canvas? 💣 I built a WebGL experiment to test that idea. A reactive image grid powered by Three.js + GSAP + Webflow , where every tile bends, scales and reacts to your cursor like a soft “force field”. 🔗 Live demo: 🔗 Case study on Contra #WebGL #ThreeJS #GSAP #CreativeCoding #Webflow #InteractionDesign

Franco Beltramella | Webflow Expert

15,710 просмотров • 7 месяцев назад

This site looks like it was built by a team of 3D developers It wasn't. It's just video. And that's the part nobody expects > he generated two frames with AI > turned them into a clip with Seedance 2.0 > then gave it to Claude 4.8 to wrap into a full immersive scrollable experience Three effects that make the user feel like they're physically moving through a space: > see-through scrub > 3D scroll > mouse tracking None of them are actually 3D. The browser never renders a single polygon. It's a video being controlled by scroll position and cursor movement Most people assume sites like this require a creative developer who specializes in WebGL and weeks of optimization. The actual pipeline is three steps and fits in an afternoon full walkthrough in the article below. bookmark this before you need it

This site looks like it was built by a team of 3D developers It wasn't. It's just video. And that's the part nobody expects > he generated two frames with AI > turned them into a clip with Seedance 2.0 > then gave it to Claude 4.8 to wrap into a full immersive scrollable experience Three effects that make the user feel like they're physically moving through a space: > see-through scrub > 3D scroll > mouse tracking None of them are actually 3D. The browser never renders a single polygon. It's a video being controlled by scroll position and cursor movement Most people assume sites like this require a creative developer who specializes in WebGL and weeks of optimization. The actual pipeline is three steps and fits in an afternoon full walkthrough in the article below. bookmark this before you need it

monokern

156,368 просмотров • 19 дней назад

✨ Added a CRT curvature distortion to pieter™ now It takes the Em-DOSBox and processes it in WebGL and builds a new with the distortion of a classic CRT screen which had this convex curvature (like an old TV) even though the screen itself was square I had this working on DOSBox on MacOS and on Linux with CRT-Pi shader, but on web it doesn't support shaders so I had to build my own with Claude Code in JS, very easy I remember trying this a year ago and Claude Code fucked it up so bad that I gave up, so I think the models have improved a lot Tomorrow I'll try add some scanlines, it really helps make the simulation more passable (and nostalgic!) 😊👌

✨ Added a CRT curvature distortion to pieter™ now It takes the Em-DOSBox and processes it in WebGL and builds a new with the distortion of a classic CRT screen which had this convex curvature (like an old TV) even though the screen itself was square I had this working on DOSBox on MacOS and on Linux with CRT-Pi shader, but on web it doesn't support shaders so I had to build my own with Claude Code in JS, very easy I remember trying this a year ago and Claude Code fucked it up so bad that I gave up, so I think the models have improved a lot Tomorrow I'll try add some scanlines, it really helps make the simulation more passable (and nostalgic!) 😊👌

@levelsio

88,207 просмотров • 6 месяцев назад

🚨 PEOPLE CAN’T STOP WATCHING THIS OLD MAN’S “OUTDATED” KITCHEN TOUR - AND IT GETS STRANGER BY THE SECOND A man gives a video kitchen tour with Rachmaninoff playing in the background. "I built this kitchen in 1979." As the tour unfolds the details start stacking up. A tight gallery kitchen designed purely for efficiency: – Swiss-made sink with an early mechanical drain system – Lazy Susans with 32 square feet of cabinet space – Pantries that slide, swing, and fold out to hide even more storage – Custom skylight installed Near the end, he sums it up simply: "Even though this isn't a large kitchen, this is a working kitchen." It feels more like a time capsule from when things were built to work. Why does watching this feel oddly hypnotic?

🚨 PEOPLE CAN’T STOP WATCHING THIS OLD MAN’S “OUTDATED” KITCHEN TOUR - AND IT GETS STRANGER BY THE SECOND A man gives a video kitchen tour with Rachmaninoff playing in the background. "I built this kitchen in 1979." As the tour unfolds the details start stacking up. A tight gallery kitchen designed purely for efficiency: – Swiss-made sink with an early mechanical drain system – Lazy Susans with 32 square feet of cabinet space – Pantries that slide, swing, and fold out to hide even more storage – Custom skylight installed Near the end, he sums it up simply: "Even though this isn't a large kitchen, this is a working kitchen." It feels more like a time capsule from when things were built to work. Why does watching this feel oddly hypnotic?

HustleBitch

732,979 просмотров • 5 месяцев назад

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev

I built a Three.js rendering study inspired by Tiny Glade’s painterly aesthetic, and got it running at 120fps in the browser. Over the past few weeks, I’ve been studying how stylized games achieve that soft, handcrafted look in real time. Tiny Glade was a huge inspiration, and I wanted to use the browser as a constraint: no compute shaders, no native GPU access, and single-threaded JavaScript. As part of this study, I implemented: - GPU-driven instanced brick walls with procedural noise jitter and elastic build animations - Tree, bush, and flower rendering with billboard card expansion, wind sway, and grow animations - Procedural grass with terrain conformance and interactive push deformation - Animated water with layered noise, interactive ripples, and Fresnel-based reflections - Procedural terrain with slope-aware triplanar materials, dirt paths, and rocks - A 7-pass post-processing stack with TAA, bloom, depth of field, painterly filtering, ACES tonemapping, 3D LUT color grading, and film grain The hardest part wasn’t writing any single shader. It was making all of these systems work together at high frame rates inside WebGL, where every millisecond counts and performance problems compound quickly across animation, materials, post-processing, and scene management. Some techniques in this study were inspired by analyzing Tiny Glade’s rendering approach, while others were original implementations built from scratch from visual reference. That contrast taught me a lot: recreating an effect is one challenge, but designing your own shaders and systems to achieve a similar feel is a very different one. This is a private educational rendering study. Some temporary placeholder content is being used during the research phase, and any public or production version would use original or properly licensed assets. Huge credit to Pounce Light for the incredible art direction and rendering work in Tiny Glade: Three.js #gamedev #webgl #threejs #rendering #graphics #realtimerendering #shaderdev

Ibrahim Boona

58,625 просмотров • 3 месяцев назад

A rare insight into the working of the radio proximity fuze developed and used during World War II, 1944 with key contributions from General Electric. Inside the cutaway, the system reveals a miniature radar set powered by a fragile glass electrolyte ampoule that shattered under launch acceleration, activating the battery and bringing the fuze online in flight. Once armed, it emitted a continuous radio signal and measured reflections from nearby targets, triggering detonation when an aircraft entered roughly the 20 to 70 foot range, where fragmentation effects were most effective. It costed about 18 to 20 dollars per unit in 1945 at wartime production scale, that still feels strikingly advanced even 75+ years later. Video Source:- Inert Ordnance

A rare insight into the working of the radio proximity fuze developed and used during World War II, 1944 with key contributions from General Electric. Inside the cutaway, the system reveals a miniature radar set powered by a fragile glass electrolyte ampoule that shattered under launch acceleration, activating the battery and bringing the fuze online in flight. Once armed, it emitted a continuous radio signal and measured reflections from nearby targets, triggering detonation when an aircraft entered roughly the 20 to 70 foot range, where fragmentation effects were most effective. It costed about 18 to 20 dollars per unit in 1945 at wartime production scale, that still feels strikingly advanced even 75+ years later. Video Source:- Inert Ordnance

Ammanichanda

504,235 просмотров • 1 месяц назад

Everyone is sleeping on how powerful Gamma + n8n + GPT-5 actually is This setup turns raw client info into a polished proposal deck before you even open your laptop. Here is the workflow: → Client fills out a simple form → n8n triggers instantly and sends the data to GPT-5 → GPT-5 expands it into a structured proposal with goals, scope, and pricing → Gamma API auto builds a premium presentation with perfect formatting → Slack sends you a preview to Approve → Approve once and the client receives a PDF plus a live Gamma link It feels like having a proposal team running 24/7. Perfect for agencies, freelancers, founders, consultants, and closers. If you want the Custom Proposal System I built (JSON file ready to import), reply GAMMA and I’ll DM it.

Everyone is sleeping on how powerful Gamma + n8n + GPT-5 actually is This setup turns raw client info into a polished proposal deck before you even open your laptop. Here is the workflow: → Client fills out a simple form → n8n triggers instantly and sends the data to GPT-5 → GPT-5 expands it into a structured proposal with goals, scope, and pricing → Gamma API auto builds a premium presentation with perfect formatting → Slack sends you a preview to Approve → Approve once and the client receives a PDF plus a live Gamma link It feels like having a proposal team running 24/7. Perfect for agencies, freelancers, founders, consultants, and closers. If you want the Custom Proposal System I built (JSON file ready to import), reply GAMMA and I’ll DM it.

Alex Veremeyenko

14,225 просмотров • 8 месяцев назад

LegoGPT, an LLM-based system that generates physically stable LEGO structures from text prompts, backed by a new 47,000+ sample dataset and physics-aware filtering during inference. → LegoGPT is trained on a custom dataset, StableText2Lego, which includes 47,000+ 3D LEGO models mapped to text, spanning 28,000+ unique objects. → The model predicts LEGO bricks sequentially like tokens, using next-token prediction in a transformer setup. → To ensure physical stability, LegoGPT integrates physics-aware rollback and validity filtering, pruning out structurally invalid brick placements. → The generated designs are aesthetically aligned with prompts, physically buildable, and tested both with human manual assembly and robotic arms. → The team also introduced a text-driven LEGO coloring/texturing pipeline, enabling more expressive and customized outputs. → The dataset, code, and models are all publicly released under an open-access license.

LegoGPT, an LLM-based system that generates physically stable LEGO structures from text prompts, backed by a new 47,000+ sample dataset and physics-aware filtering during inference. → LegoGPT is trained on a custom dataset, StableText2Lego, which includes 47,000+ 3D LEGO models mapped to text, spanning 28,000+ unique objects. → The model predicts LEGO bricks sequentially like tokens, using next-token prediction in a transformer setup. → To ensure physical stability, LegoGPT integrates physics-aware rollback and validity filtering, pruning out structurally invalid brick placements. → The generated designs are aesthetically aligned with prompts, physically buildable, and tested both with human manual assembly and robotic arms. → The team also introduced a text-driven LEGO coloring/texturing pipeline, enabling more expressive and customized outputs. → The dataset, code, and models are all publicly released under an open-access license.

Rohan Paul

75,268 просмотров • 1 год назад

I’ve never been to the St. Louis Gateway Arch, and I honestly never really thought about how people even get to the top of it. This video made me realize what an engineering marvel that elevator actually is. Because the arch is curved, they couldn’t use a normal elevator, so they came up with these clever little capsules that rotate and tilt as they go up. It looks like you're riding in a tiny space pod. Even more interesting? The whole system was designed by a guy who didn’t even have an engineering degree. I also had no idea there was a museum inside. This elevator might honestly be as impressive as the arch itself. Have you ever been up inside the Gateway Arch?

I’ve never been to the St. Louis Gateway Arch, and I honestly never really thought about how people even get to the top of it. This video made me realize what an engineering marvel that elevator actually is. Because the arch is curved, they couldn’t use a normal elevator, so they came up with these clever little capsules that rotate and tilt as they go up. It looks like you're riding in a tiny space pod. Even more interesting? The whole system was designed by a guy who didn’t even have an engineering degree. I also had no idea there was a museum inside. This elevator might honestly be as impressive as the arch itself. Have you ever been up inside the Gateway Arch?

End3of6Days9 (Helen) 🇺🇸

251,431 просмотров • 14 дней назад

Cambodia has condemned the Thai army for demolishing a Hindu Vishnu statue in a disputed border area after more than two weeks of fighting between Cambodia and Thailand. According to Cambodian officials in Preah Vihear, the statue was built in 2014 and stood several hundred meters inside Cambodian territory in the An Ses area. It was destroyed on December 22 using a backhoe loader. Video of the demolition circulated widely on Thai social media and was independently verified, with no signs of manipulation. Cambodia says the statue was a religious site worshipped by Buddhist and Hindu followers and has accused Thai forces of damaging multiple cultural sites along the border during the clashes. Thailand has not commented on the incident and continues to say its operations only target military objectives. By that logic, this Hindu statue was definitely a military target.

Cambodia has condemned the Thai army for demolishing a Hindu Vishnu statue in a disputed border area after more than two weeks of fighting between Cambodia and Thailand. According to Cambodian officials in Preah Vihear, the statue was built in 2014 and stood several hundred meters inside Cambodian territory in the An Ses area. It was destroyed on December 22 using a backhoe loader. Video of the demolition circulated widely on Thai social media and was independently verified, with no signs of manipulation. Cambodia says the statue was a religious site worshipped by Buddhist and Hindu followers and has accused Thai forces of damaging multiple cultural sites along the border during the clashes. Thailand has not commented on the incident and continues to say its operations only target military objectives. By that logic, this Hindu statue was definitely a military target.

Jacob in Cambodia 🇺🇸 🇰🇭

109,956 просмотров • 7 месяцев назад

THIS GUY BUILT HIS ENTIRE COMMAND CENTER INSIDE OBSIDIAN USING A SINGLE CLAUDE INSTANCE AND NOW HE NEVER LEAVES IT He calls it handro operator Here’s what’s actually running inside: > Live Claude usage tracking (tokens, models and real-time costs) > A ClickUp task queue with Claude generated action suggestions that can be executed immediately > Full calendar sync > A custom intelligence feed for signals and news (AI video, Reddit, frontier research, searchable by keywords and time) > An Intelligence tab with Gmail highlights, Slack activity and Fireflies meeting transcripts > The ability to reply to emails and Slack messages directly from Obsidian without ever leaving the vault He built the whole thing in a single day: Mood board → defined the specs → dropped everything into Claude with one prompt → got a complete dashboard UI kit → fed it back into Claude → Claude mapped and connected everything automatically The article below goes deeper into how to reduce token usage when combining Claude with Obsidian Save both the post and the article - you might end up combining the ideas into a single product later

THIS GUY BUILT HIS ENTIRE COMMAND CENTER INSIDE OBSIDIAN USING A SINGLE CLAUDE INSTANCE AND NOW HE NEVER LEAVES IT He calls it handro operator Here’s what’s actually running inside: > Live Claude usage tracking (tokens, models and real-time costs) > A ClickUp task queue with Claude generated action suggestions that can be executed immediately > Full calendar sync > A custom intelligence feed for signals and news (AI video, Reddit, frontier research, searchable by keywords and time) > An Intelligence tab with Gmail highlights, Slack activity and Fireflies meeting transcripts > The ability to reply to emails and Slack messages directly from Obsidian without ever leaving the vault He built the whole thing in a single day: Mood board → defined the specs → dropped everything into Claude with one prompt → got a complete dashboard UI kit → fed it back into Claude → Claude mapped and connected everything automatically The article below goes deeper into how to reduce token usage when combining Claude with Obsidian Save both the post and the article - you might end up combining the ideas into a single product later

Bonsai 🌳

21,343 просмотров • 1 месяц назад

🎬 Cinematic Consistency in the Age of AI Video: Why Prompt Structure Matters ⠀ I created a custom GPT built specifically to solve one of the biggest problems in AI filmmaking: character and visual continuity across shots and sequences. ⠀ Too often, tools like Midjourney Video or Veo3 generate beautiful moments — but fall apart when you try to tell a story. Characters change. Outfits glitch. Locations shift. ⠀ This GPT helps with that. It’s trained to write highly structured cinematic prompts, with attention to: — Composition & camera motion — Character appearance and consistency — Lens & lighting consistency — Emotional tone, color grading, and even ambient audio cues ⠀ 💡 The result? A prompt system that actually thinks like a director and helps you like your DP or 1st AD. ⠀ Here’s a side-by-side comparison using the same simple sequence idea in Veo3 and Midjourney Video, both using my GPT. (don't judge the video result but the GPT assistance as I made this as quickly as possible) 👇

🎬 Cinematic Consistency in the Age of AI Video: Why Prompt Structure Matters ⠀ I created a custom GPT built specifically to solve one of the biggest problems in AI filmmaking: character and visual continuity across shots and sequences. ⠀ Too often, tools like Midjourney Video or Veo3 generate beautiful moments — but fall apart when you try to tell a story. Characters change. Outfits glitch. Locations shift. ⠀ This GPT helps with that. It’s trained to write highly structured cinematic prompts, with attention to: — Composition & camera motion — Character appearance and consistency — Lens & lighting consistency — Emotional tone, color grading, and even ambient audio cues ⠀ 💡 The result? A prompt system that actually thinks like a director and helps you like your DP or 1st AD. ⠀ Here’s a side-by-side comparison using the same simple sequence idea in Veo3 and Midjourney Video, both using my GPT. (don't judge the video result but the GPT assistance as I made this as quickly as possible) 👇

Jesus Plaza

51,432 просмотров • 1 год назад

Did you know the iconic seaQuest DSV intro was powered by Commodore Amiga? Back in 1993, when CGI was still in its infancy and insanely expensive, Amblin Imaging (Steven Spielberg’s effects house) chose a revolutionary low-cost solution: a render farm of Commodore Amiga 2000 computers running NewTek LightWave 3D and the Video Toaster. All those stunning external shots of the massive seaQuest submarine gliding through the ocean depths? Rendered on Amigas. The show only used about 1.5 minutes of CGI per episode, but it looked groundbreaking for television at the time. They networked dozens of Amigas together to handle the complex underwater visuals — a setup that helped make high-quality 3D effects accessible beyond big Hollywood budgets. This was the same Amiga + LightWave combo that famously powered early seasons of Babylon 5 and other 90s sci-fi hits. The Video Toaster even won an Emmy for Technical Achievement in 1993! The future of TV VFX was built on a machine many still call the greatest home computer ever made. Commodore Amiga — changing the game from your desktop. 🖥️✨ONLY AMIGA MAKES IT POSSIBLE!

Did you know the iconic seaQuest DSV intro was powered by Commodore Amiga? Back in 1993, when CGI was still in its infancy and insanely expensive, Amblin Imaging (Steven Spielberg’s effects house) chose a revolutionary low-cost solution: a render farm of Commodore Amiga 2000 computers running NewTek LightWave 3D and the Video Toaster. All those stunning external shots of the massive seaQuest submarine gliding through the ocean depths? Rendered on Amigas. The show only used about 1.5 minutes of CGI per episode, but it looked groundbreaking for television at the time. They networked dozens of Amigas together to handle the complex underwater visuals — a setup that helped make high-quality 3D effects accessible beyond big Hollywood budgets. This was the same Amiga + LightWave combo that famously powered early seasons of Babylon 5 and other 90s sci-fi hits. The Video Toaster even won an Emmy for Technical Achievement in 1993! The future of TV VFX was built on a machine many still call the greatest home computer ever made. Commodore Amiga — changing the game from your desktop. 🖥️✨ONLY AMIGA MAKES IT POSSIBLE!

Commodore Computer Museum 🕹

11,353 просмотров • 1 месяц назад

Isn't it about time we brought the Blue Blur back home to a Sega console?! Presenting Sonic Mania Plus... running on an actual physical Sega Dreamcast! While there's no audio yet, and the 3D effects and stages have yet to be hooked up, developer Michael Fadely, has done an INCREDIBLE job getting this title ported over so far! He worked some serious voodoo to get this game fitting into 16MB of RAM, and has even had to push against VRAM limitations, even with texture paletting being used, due to there just being so many goddamn sprites loaded at once. What you WILL notice here is that she's running at a perfect 60FPS with the DC barely even trying at all for the majority of the game! This is due to his work implementing a custom HW accelerated rendering back-end that directly uses our low-level PVR driver in KallistiOS, rather than the SW renderer used by most ports of the game. While he still has a long way to go, it's incredible how playable the game already is and just how damn good and at home it feels on the Sega Dreamcast!

Isn't it about time we brought the Blue Blur back home to a Sega console?! Presenting Sonic Mania Plus... running on an actual physical Sega Dreamcast! While there's no audio yet, and the 3D effects and stages have yet to be hooked up, developer Michael Fadely, has done an INCREDIBLE job getting this title ported over so far! He worked some serious voodoo to get this game fitting into 16MB of RAM, and has even had to push against VRAM limitations, even with texture paletting being used, due to there just being so many goddamn sprites loaded at once. What you WILL notice here is that she's running at a perfect 60FPS with the DC barely even trying at all for the majority of the game! This is due to his work implementing a custom HW accelerated rendering back-end that directly uses our low-level PVR driver in KallistiOS, rather than the SW renderer used by most ports of the game. While he still has a long way to go, it's incredible how playable the game already is and just how damn good and at home it feels on the Sega Dreamcast!

Falco Girgis

93,982 просмотров • 1 год назад

This blew my mind: I just built a fully working end-to-end SaaS storefront in ~15 minutes with MeDo — not just a website, but an actual mini-Shopify stack. It generated the full frontend, backend, UI, auth system, product pages, shopping cart, payments flow, and even gave me a product management dashboard. Then I asked it to switch everything to dark mode… and it restyled the whole app in seconds. For $5 you basically get a SaaS factory: store builder, product manager, checkout system, user accounts, responsive design — all generated and wired together automatically. I never touched a line of code. MeDo feels like having a frontend dev, backend dev, designer, and SaaS architect working in sync, powered by Baidu’s enterprise-grade AI stack. Honestly, the generation quality beats what I’ve seen from Lovable at a much lower price point.

This blew my mind: I just built a fully working end-to-end SaaS storefront in ~15 minutes with MeDo — not just a website, but an actual mini-Shopify stack. It generated the full frontend, backend, UI, auth system, product pages, shopping cart, payments flow, and even gave me a product management dashboard. Then I asked it to switch everything to dark mode… and it restyled the whole app in seconds. For $5 you basically get a SaaS factory: store builder, product manager, checkout system, user accounts, responsive design — all generated and wired together automatically. I never touched a line of code. MeDo feels like having a frontend dev, backend dev, designer, and SaaS architect working in sync, powered by Baidu’s enterprise-grade AI stack. Honestly, the generation quality beats what I’ve seen from Lovable at a much lower price point.

Chubby♨️

63,919 просмотров • 8 месяцев назад

At Avalon we are building "Real-time creating" - the ability to generate gameplay ready persistent worlds prompted from text. While others are building real-time video world models, Avalon is building real-time world generation inside a fully playable, persistent multiplayer engine. Internally running at 3840×2180 at 60 FPS. Built on Unreal Engine. Multiplayer by default. Persistent by default. Gameplay-ready by default. This is not a video latent replay. Not a simulation of interaction. It is a real 3D world with physics, logic, and authoritative multiplayer state. Avalon is trained on proprietary Avalon interaction data and powered by a hybrid system that combines language understanding, 3D model generation, procedural systems, and structured gameplay logic synthesis. Players can walk through a live world and generate environments, assets, mechanics, and entirely new gameplay modes using natural language. We accomplish this through a combination of 3D model generation, game logic generation based on our proprietary systems, and AI driven world creation. While other players are inside it. Changes persist instantly. State is synchronized in real time. Creation happens inside the world, not outside of it. Describe a biome. Spawn a civilization. Create a survival mode. Build a dungeon crawler. Launch a new game inside the world. Avalon interprets intent and integrates it directly into the live multiplayer environment. This is not a world model predicting video. This is a gameplay engine that understands language. If you can describe it, you can build it. And others can walk into it instantly.

At Avalon we are building "Real-time creating" - the ability to generate gameplay ready persistent worlds prompted from text. While others are building real-time video world models, Avalon is building real-time world generation inside a fully playable, persistent multiplayer engine. Internally running at 3840×2180 at 60 FPS. Built on Unreal Engine. Multiplayer by default. Persistent by default. Gameplay-ready by default. This is not a video latent replay. Not a simulation of interaction. It is a real 3D world with physics, logic, and authoritative multiplayer state. Avalon is trained on proprietary Avalon interaction data and powered by a hybrid system that combines language understanding, 3D model generation, procedural systems, and structured gameplay logic synthesis. Players can walk through a live world and generate environments, assets, mechanics, and entirely new gameplay modes using natural language. We accomplish this through a combination of 3D model generation, game logic generation based on our proprietary systems, and AI driven world creation. While other players are inside it. Changes persist instantly. State is synchronized in real time. Creation happens inside the world, not outside of it. Describe a biome. Spawn a civilization. Create a survival mode. Build a dungeon crawler. Launch a new game inside the world. Avalon interprets intent and integrates it directly into the live multiplayer environment. This is not a world model predicting video. This is a gameplay engine that understands language. If you can describe it, you can build it. And others can walk into it instantly.

AVALON

62,343 просмотров • 5 месяцев назад

We're proud to showcase some recent real-time work with 3D / 4D Gaussian splatting. In January of 2024 we acquired a full 3DGS commercial license with Inria to allow us to offer 4DGS services to clients around the world. We've spent the last 10 months developing our custom 4DGS software pipeline, utilizing our own Nvidia GPU cluster to batch process 100,000's of 4DGS frames rapidly, combined with our state-of-the-art custom built volumetric capture system(s). We can capture anything from complex character interactions for visual effects shots, or dynamic fast fighting scenes, sports, acting, even capturing and storing memories of family and friends for the future! The possibilities are endless. Our focus is always on high-quality and high-fidelity. We don't cut corners and we're continually striving to learn and improve. The below video showcases some 6-dof spatial captures we took of Henry Pearce's family. These scenes are played back in real-time @ 30fps inside a 3rd party engine running in a 120fps virtual environment. This is a culmination of years of hard work and dedication and we are keen to commercialize this technology with you. Please do reach out if you're interested in our capture systems or our 3D/4DGS processing services. HQ YouTube Link: HQ Vimeo Link: #spatialcapture #vr #virtualmemories #inria #3dgs #4dgs #aeonx #ir #ximea Music "Vision" by megiddo music Special thanks to Aras Pranckevičius 🇺🇦🇱🇹

We're proud to showcase some recent real-time work with 3D / 4D Gaussian splatting. In January of 2024 we acquired a full 3DGS commercial license with Inria to allow us to offer 4DGS services to clients around the world. We've spent the last 10 months developing our custom 4DGS software pipeline, utilizing our own Nvidia GPU cluster to batch process 100,000's of 4DGS frames rapidly, combined with our state-of-the-art custom built volumetric capture system(s). We can capture anything from complex character interactions for visual effects shots, or dynamic fast fighting scenes, sports, acting, even capturing and storing memories of family and friends for the future! The possibilities are endless. Our focus is always on high-quality and high-fidelity. We don't cut corners and we're continually striving to learn and improve. The below video showcases some 6-dof spatial captures we took of Henry Pearce's family. These scenes are played back in real-time @ 30fps inside a 3rd party engine running in a 120fps virtual environment. This is a culmination of years of hard work and dedication and we are keen to commercialize this technology with you. Please do reach out if you're interested in our capture systems or our 3D/4DGS processing services. HQ YouTube Link: HQ Vimeo Link: #spatialcapture #vr #virtualmemories #inria #3dgs #4dgs #aeonx #ir #ximea Music "Vision" by megiddo music Special thanks to Aras Pranckevičius 🇺🇦🇱🇹

Infinite-Realities

202,783 просмотров • 2 лет назад

A YouTube creator decided to stop manual editing and made over $30,000 in a single month He built an automated system that generates high-performing faceless videos using a single AI pipeline He didn't hire expensive video editors or scriptwriters He just paired Claude's desktop app with a graphics generation platform Every single video follows a precise, mechanical routine: extract competitor transcripts, rewrite with AI, and auto-generate assets For less than 20 minutes per video, the system does the heavy lifting. Zero complex timelines, zero hours wasted on rendering. Just pure automated production He doesn't even manual-search prompts anymore because his AI directly commands other neural networks to generate and animate visual frames Out of multiple channels launched in this niche, most creators struggle to get noticed But his single automation setup now generates millions of views on American YouTube alone His main secret? He uses Claude to auto-name files by exact timestamps so he can assemble a 10-minute video instantly I recommend watching the full video below Bookmark this

A YouTube creator decided to stop manual editing and made over $30,000 in a single month He built an automated system that generates high-performing faceless videos using a single AI pipeline He didn't hire expensive video editors or scriptwriters He just paired Claude's desktop app with a graphics generation platform Every single video follows a precise, mechanical routine: extract competitor transcripts, rewrite with AI, and auto-generate assets For less than 20 minutes per video, the system does the heavy lifting. Zero complex timelines, zero hours wasted on rendering. Just pure automated production He doesn't even manual-search prompts anymore because his AI directly commands other neural networks to generate and animate visual frames Out of multiple channels launched in this niche, most creators struggle to get noticed But his single automation setup now generates millions of views on American YouTube alone His main secret? He uses Claude to auto-name files by exact timestamps so he can assemble a 10-minute video instantly I recommend watching the full video below Bookmark this

Ridark

13,310 просмотров • 1 месяц назад

I just used an AI tool that built a full website, backend database, and even offered a mobile app version - all in under 60 seconds. No coding. No plugins. No tech hassle. Meet EasySite - the AI website builder that feels like magic: ✅ 1-click website generation (95% success rate) ✅ Built-in database (PostgreSQL, MySQL, Supabase, etc.) ✅ Turn your site into a mobile app with 1 click ✅ Fully editable with a WYSIWYG + AI editor ✅ Instant lead-gen chat widget, analytics & WordPress deploy It’s perfect for founders, marketers, agencies & devs who want to build fast and focus on growth - not setup. I was genuinely surprised by how much it did without me lifting a finger. Try it out here → #nocode #websitebuilder #EasySiteAI #webtools #indiehacker

I just used an AI tool that built a full website, backend database, and even offered a mobile app version - all in under 60 seconds. No coding. No plugins. No tech hassle. Meet EasySite - the AI website builder that feels like magic: ✅ 1-click website generation (95% success rate) ✅ Built-in database (PostgreSQL, MySQL, Supabase, etc.) ✅ Turn your site into a mobile app with 1 click ✅ Fully editable with a WYSIWYG + AI editor ✅ Instant lead-gen chat widget, analytics & WordPress deploy It’s perfect for founders, marketers, agencies & devs who want to build fast and focus on growth - not setup. I was genuinely surprised by how much it did without me lifting a finger. Try it out here → #nocode #websitebuilder #EasySiteAI #webtools #indiehacker

Chidanand Tripathi

205,439 просмотров • 1 год назад

This 22-year-old American developer showed how he makes $14,200 a month using just a dual-GPU setup and Cohere’s new open-weights model. He doesn't have a powerhouse dev team. No massive VC funding. No expensive enterprise infrastructure. He built a "localized AI workflow" powered by the newly dropped Command A+ model → an ultra-efficient system he calls “algorithmic mining.” The system works like this: 1 open-weights model → Apache 2.0 license integration → Command A+'s Mixture of Experts (MoE) processes complex data at lightning speed → Quantized architecture runs smoothly on just 2 GPUs → Automated agents handle enterprise-level tasks while he sleeps. 3 recurring revenue streams from a 72-hour implementation: > $49/month Essential API access > $99/month Scale tier for small teams > $199/month Custom enterprise pipeline > Delivered with near-zero hosting latency > Total setup time: 3 days He didn't wait for massive cloud budget approval. He took a highly practical, open-source-friendly model, spun it up locally, and built the exact kind of agents usually reserved for Fortune 500 companies. As the developer put it perfectly: In the open-weight era, efficiency and raw speed are the ultimate leverage.

This 22-year-old American developer showed how he makes $14,200 a month using just a dual-GPU setup and Cohere’s new open-weights model. He doesn't have a powerhouse dev team. No massive VC funding. No expensive enterprise infrastructure. He built a "localized AI workflow" powered by the newly dropped Command A+ model → an ultra-efficient system he calls “algorithmic mining.” The system works like this: 1 open-weights model → Apache 2.0 license integration → Command A+'s Mixture of Experts (MoE) processes complex data at lightning speed → Quantized architecture runs smoothly on just 2 GPUs → Automated agents handle enterprise-level tasks while he sleeps. 3 recurring revenue streams from a 72-hour implementation: > $49/month Essential API access > $99/month Scale tier for small teams > $199/month Custom enterprise pipeline > Delivered with near-zero hosting latency > Total setup time: 3 days He didn't wait for massive cloud budget approval. He took a highly practical, open-source-friendly model, spun it up locally, and built the exact kind of agents usually reserved for Fortune 500 companies. As the developer put it perfectly: In the open-weight era, efficiency and raw speed are the ultimate leverage.

Ridark

211,874 просмотров • 2 месяцев назад