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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 Aufrufe • vor 6 Monaten •via X (Twitter)

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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 🇺🇸 🇰🇭

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🎬 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) 👇

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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♨️

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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

61,641 Aufrufe • vor 5 Monaten

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 Aufrufe • vor 2 Jahren

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 Aufrufe • vor 20 Tagen

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

205,298 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Monat