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AuraJs via ◥◣ A U R A M A X X ◥◣ alpha build is out 🗿🖤 > open-source game engine. MIT. no fee no lock in > write one Javascript, compile to Mac, Windows, Linux > 2D & 3D w/ native access to GPU > play, publish, &... show more

nicolette 🫪💪

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34,213 views • 5 months ago •via X (Twitter)

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built an open-source game engine for agents launch & play anything from your terminal with npx play <mygame>. No installs needed brainrot ◥◣ A U R A M A X X ◥◣ while you vibe code🗿🖤

built an open-source game engine for agents launch & play anything from your terminal with npx play <mygame>. No installs needed brainrot ◥◣ A U R A M A X X ◥◣ while you vibe code🗿🖤

nicolette 🫪💪

54,104 views • 5 months ago

THIS GUY IS RUNNING CLAUDE CODE ON A NINTENDO 3DS imagine vibe coding a startup from a handheld console that came out in 2011 he built a native SSH terminal for it from scratch in C. GPU-rendered, custom VT100 parser with full truecolor. even added a Nerd Font bitmap atlas so it looks exactly like his desktop terminal the 3DS connects to his Mac over SSH and runs Claude Code straight from it you can now play pokemon while you vibe code all on the same system

THIS GUY IS RUNNING CLAUDE CODE ON A NINTENDO 3DS imagine vibe coding a startup from a handheld console that came out in 2011 he built a native SSH terminal for it from scratch in C. GPU-rendered, custom VT100 parser with full truecolor. even added a Nerd Font bitmap atlas so it looks exactly like his desktop terminal the 3DS connects to his Mac over SSH and runs Claude Code straight from it you can now play pokemon while you vibe code all on the same system

Om Patel

77,692 views • 4 months ago

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Stop...Your AI shouldn’t sit in a sidebar. It should actually work inside your notes. AnySlate just made that real. Your AI can: • read your markdown files • edit sections • create docs • search your workspace • organize everything No copy paste No switching tabs No proprietary lock-in Every file is a real .md file Your notes stay portable forever And the wild part — it supports MCP natively So Claude, Cursor, or Windsurf can directly work inside your workspace This is the shift from AI that helps you write to AI that manages your knowledge Real-time collaboration Built-in AI assistant PDF + web publishing Version history Works on Mac Windows Linux + browser This is what a modern markdown editor should look like

Nainsi Dwivedi

13,617 views • 4 months ago

This is what Windows should’ve been. Zorin OS is a Linux distro made for normal users. No learning curve. Feels familiar from day one. You get: • Windows/macOS-style layouts • Smooth, fast performance • No ads, no bloat, no tracking • Built-in apps (ready out of the box) More: • Runs on PCs up to 10–15 years old • Lightweight but powerful • Secure + virus-resistant • Software store with thousands of apps • Can run many Windows apps (.exe support) • Easy dual-boot with Windows Plus: • Gaming support (Steam, Proton, Lutris) • GPU drivers pre-installed + optimized • Works great on laptops + desktops • Try it directly from USB (no install needed) • Long-term updates (years of support) Extra: • LibreOffice included (MS Office alternative) • Multiple desktop layouts (switch anytime) • Zorin Connect (phone ↔ PC integration) • Works offline, no account required No tweaking. No terminal needed. Just install → use.

This is what Windows should’ve been. Zorin OS is a Linux distro made for normal users. No learning curve. Feels familiar from day one. You get: • Windows/macOS-style layouts • Smooth, fast performance • No ads, no bloat, no tracking • Built-in apps (ready out of the box) More: • Runs on PCs up to 10–15 years old • Lightweight but powerful • Secure + virus-resistant • Software store with thousands of apps • Can run many Windows apps (.exe support) • Easy dual-boot with Windows Plus: • Gaming support (Steam, Proton, Lutris) • GPU drivers pre-installed + optimized • Works great on laptops + desktops • Try it directly from USB (no install needed) • Long-term updates (years of support) Extra: • LibreOffice included (MS Office alternative) • Multiple desktop layouts (switch anytime) • Zorin Connect (phone ↔ PC integration) • Works offline, no account required No tweaking. No terminal needed. Just install → use.

Techjunkie Aman

24,507 views • 5 months ago

There's an open-source home robot vacuum you can actually build yourself. It's called OOMWOO. Runs on a Raspberry Pi with 2D LiDAR mapping, ROS2 navigation, and native Home Assistant integration. No cloud dependency, no vendor lock-in. The team spent real time researching before designing it. They reviewed the entire 2025-2026 robot vacuum market, from budget to flagship, and found real-world cleaning doesn't track advertised suction power. The anti-tangle brush design alone is worth mentioning. A tapered rubber roller that resists hair-wrap, one of the most common complaints with commercial models, easy to 3D-print yourself. If you've got a Raspberry Pi and a 3D printer sitting around, this is a genuinely interesting weekend project.

There's an open-source home robot vacuum you can actually build yourself. It's called OOMWOO. Runs on a Raspberry Pi with 2D LiDAR mapping, ROS2 navigation, and native Home Assistant integration. No cloud dependency, no vendor lock-in. The team spent real time researching before designing it. They reviewed the entire 2025-2026 robot vacuum market, from budget to flagship, and found real-world cleaning doesn't track advertised suction power. The anti-tangle brush design alone is worth mentioning. A tapered rubber roller that resists hair-wrap, one of the most common complaints with commercial models, easy to 3D-print yourself. If you've got a Raspberry Pi and a 3D printer sitting around, this is a genuinely interesting weekend project.

Oliver Prompts

583,313 views • 19 days ago

New on Playground: the Builder's Guide is live our dashboard now has a full Guide tab covering: - How to build apps with AI (prompting tips that actually work) - How to tokenize your app on Base with one click - Token launch strategy — build audience first, time your launch, keep shipping - How to claim your swap fees via Bankr Your token earns you 57% of every swap fee, tied to your X account. No wallet setup needed. The playbook: build it, ship it, grow it, tokenize it.

New on Playground: the Builder's Guide is live our dashboard now has a full Guide tab covering: - How to build apps with AI (prompting tips that actually work) - How to tokenize your app on Base with one click - Token launch strategy — build audience first, time your launch, keep shipping - How to claim your swap fees via Bankr Your token earns you 57% of every swap fee, tied to your X account. No wallet setup needed. The playbook: build it, ship it, grow it, tokenize it.

GitLawb

14,632 views • 3 months ago

A guy in Vancouver built an entire operating system inside a Chrome tab. By himself. Over six years. His personal website is the OS. You open and a Windows-style desktop loads. File explorer. Start menu. Taskbar. You can drag in a zip and extract it. You can play DOOM. You can play Quake III Arena. You can boot Linux from an ISO. You can run Stable Diffusion locally for image generation. You can open a Python terminal. You can edit code in Monaco, the same engine that powers VS Code. All of it runs in your browser tab. Nothing installs. His name is Dustin Brett. Self-taught engineer. Father. Husband. 4,473 commits. All his. He had to swap the Windows icon for the π symbol because of legal pressure. The repo has 12,883 stars. MIT license. His hosting bill is one dollar a month. A single Cloudflare CDN does the rest. This is what the open web was built for. (Link in the comments)

A guy in Vancouver built an entire operating system inside a Chrome tab. By himself. Over six years. His personal website is the OS. You open and a Windows-style desktop loads. File explorer. Start menu. Taskbar. You can drag in a zip and extract it. You can play DOOM. You can play Quake III Arena. You can boot Linux from an ISO. You can run Stable Diffusion locally for image generation. You can open a Python terminal. You can edit code in Monaco, the same engine that powers VS Code. All of it runs in your browser tab. Nothing installs. His name is Dustin Brett. Self-taught engineer. Father. Husband. 4,473 commits. All his. He had to swap the Windows icon for the π symbol because of legal pressure. The repo has 12,883 stars. MIT license. His hosting bill is one dollar a month. A single Cloudflare CDN does the rest. This is what the open web was built for. (Link in the comments)

Nav Toor

72,629 views • 2 months ago

If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

Token Gremlin

28,231 views • 8 days ago

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

20,605 views • 24 days ago

Free NVIDIA GPU with 16 GB VRAM GPU for Running Local LLMs! If you want to master local LLMs but you're waiting until you can afford a $1,500 GPU, you're honestly not going to make it. The open source AI ecosystem is moving way too fast for you to wait on your budget to catch up. Especially when you can build a bleeding edge inference engine from scratch right now, completely for free. You don't need a heavy local rig to start. Google is literally letting you use an enterprise grade NVIDIA Tesla T4 GPU for $0/hour. At standard cloud computing rates (~$0.20/hr), Google Colab’s 4 hour daily free tier hands you roughly $24 worth of data center tier GPU compute every single month. And most people just waste it. Let’s talk about the hardware you get access to for free. The NVIDIA Tesla T4 is an absolute workhorse: - Architecture: NVIDIA Turing (TU104) - VRAM: 16GB GDDR6 (320 GB/s bandwidth) - Compute: 320 Tensor Cores | 2560 CUDA Cores - Performance: 130 TOPS INT8 | 8.1 TFLOPS FP32 - Power: Sipping energy at a max 70W TDP This is the exact same hardware I used to run DeepMind's Gemma 4 26B A4B QAT MoE at a 250,000 context window without a single Out Of Memory (OOM) crash. If you have a web browser and 10 minutes, you have everything you need. I’ve put together a fully documented, cell by cell Google Colab notebook that teaches you exactly how to do this. Here is what the notebook actually teaches you: - How to provision an Ubuntu Linux environment with CUDA 13.0 and verify your driver stack. - How to pull the source code and compile the latest llama.cpp C++ binaries from scratch, specifically optimizing the build for your exact GPU using the -DCMAKE_CUDA_ARCHITECTURES=native flag. - How to directly download quantized local LLMs (GGUF format) straight from HuggingFace using the CLI. - How to manage 16GB VRAM limits, offload neural network layers to the GPU, and push massive context windows. Compile raw llama.cpp, ollama run a model, or spin up the LM Studio CLI. Pick whatever stack you are comfortable with. just start building. No hardware. No credit card. No excuses. Bookmark this post right now so you don't lose the tutorial. Even if you don't have time to run it today, you are going to want this workflow in your engineering toolkit. The link to the free Colab Notebook is in the comments below. Lemme know if you need more tutorials like this.

Free NVIDIA GPU with 16 GB VRAM GPU for Running Local LLMs! If you want to master local LLMs but you're waiting until you can afford a $1,500 GPU, you're honestly not going to make it. The open source AI ecosystem is moving way too fast for you to wait on your budget to catch up. Especially when you can build a bleeding edge inference engine from scratch right now, completely for free. You don't need a heavy local rig to start. Google is literally letting you use an enterprise grade NVIDIA Tesla T4 GPU for $0/hour. At standard cloud computing rates (~$0.20/hr), Google Colab’s 4 hour daily free tier hands you roughly $24 worth of data center tier GPU compute every single month. And most people just waste it. Let’s talk about the hardware you get access to for free. The NVIDIA Tesla T4 is an absolute workhorse: - Architecture: NVIDIA Turing (TU104) - VRAM: 16GB GDDR6 (320 GB/s bandwidth) - Compute: 320 Tensor Cores | 2560 CUDA Cores - Performance: 130 TOPS INT8 | 8.1 TFLOPS FP32 - Power: Sipping energy at a max 70W TDP This is the exact same hardware I used to run DeepMind's Gemma 4 26B A4B QAT MoE at a 250,000 context window without a single Out Of Memory (OOM) crash. If you have a web browser and 10 minutes, you have everything you need. I’ve put together a fully documented, cell by cell Google Colab notebook that teaches you exactly how to do this. Here is what the notebook actually teaches you: - How to provision an Ubuntu Linux environment with CUDA 13.0 and verify your driver stack. - How to pull the source code and compile the latest llama.cpp C++ binaries from scratch, specifically optimizing the build for your exact GPU using the -DCMAKE_CUDA_ARCHITECTURES=native flag. - How to directly download quantized local LLMs (GGUF format) straight from HuggingFace using the CLI. - How to manage 16GB VRAM limits, offload neural network layers to the GPU, and push massive context windows. Compile raw llama.cpp, ollama run a model, or spin up the LM Studio CLI. Pick whatever stack you are comfortable with. just start building. No hardware. No credit card. No excuses. Bookmark this post right now so you don't lose the tutorial. Even if you don't have time to run it today, you are going to want this workflow in your engineering toolkit. The link to the free Colab Notebook is in the comments below. Lemme know if you need more tutorials like this.

Alok

178,744 views • 1 month ago

THIS GUY BUILT A MINI AI FARM OUT OF 4 NVIDIA BOXES. IT DOESN'T LOOK LIKE A DATA CENTER. IT LOOKS LIKE A STACK OF SMALL MACHINES SITTING NEXT TO A LAPTOP. BUT EACH BOX IS A DGX SPARK WITH GRACE BLACKWELL INSIDE. 4 BOXES. 512GB OF UNIFIED MEMORY. NEARLY $12,000 OF LOCAL AI COMPUTE SITTING ON ONE DESK. NO CLOUD GPU RENTAL FEES. NO HOURLY METER. NO RENTED COMPUTE EATING YOUR MARGINS. MOST PEOPLE STILL THINK LOCAL AI MEANS A SLOW LAPTOP RUNNING A TOY MODEL. MEANWHILE, PEOPLE ARE STACKING SERIOUS AI COMPUTE AT HOME. LOCAL AI IS STARTING TO LOOK LIKE THE NEW MINING FARM.

THIS GUY BUILT A MINI AI FARM OUT OF 4 NVIDIA BOXES. IT DOESN'T LOOK LIKE A DATA CENTER. IT LOOKS LIKE A STACK OF SMALL MACHINES SITTING NEXT TO A LAPTOP. BUT EACH BOX IS A DGX SPARK WITH GRACE BLACKWELL INSIDE. 4 BOXES. 512GB OF UNIFIED MEMORY. NEARLY $12,000 OF LOCAL AI COMPUTE SITTING ON ONE DESK. NO CLOUD GPU RENTAL FEES. NO HOURLY METER. NO RENTED COMPUTE EATING YOUR MARGINS. MOST PEOPLE STILL THINK LOCAL AI MEANS A SLOW LAPTOP RUNNING A TOY MODEL. MEANWHILE, PEOPLE ARE STACKING SERIOUS AI COMPUTE AT HOME. LOCAL AI IS STARTING TO LOOK LIKE THE NEW MINING FARM.

Vivek Sen

31,812 views • 11 days ago

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly

Om Patel

361,539 views • 1 month ago

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

BuBBliK

200,402 views • 2 months ago

Despite being told no, I'm open-sourcing Chatpack. You can now deploy production-ready chat to any app with 30+ native chat features in a single command using npx chatpack@latest I wanted to build a simple chat layer where anyone could add 24/7 live messaging to their app without spending weeks rebuilding the same infrastructure from scratch. Connect your existing auth and database, and Chatpack handles everything underneath. So today, we're open-sourcing Chatpack. > 24/7 real-time messaging between your users > typing, presence, read receipts, permissions, and conversation history > works with your existing auth + database, so your users and data stay yours Run it as a CLI or library. Fully open source. Repo is MIT licensed. If I were starting an AI company today, I'd clone this, pick a market, and begin shipping with Claude Code. Truly excited to see what comes out of this.

Despite being told no, I'm open-sourcing Chatpack. You can now deploy production-ready chat to any app with 30+ native chat features in a single command using npx chatpack@latest I wanted to build a simple chat layer where anyone could add 24/7 live messaging to their app without spending weeks rebuilding the same infrastructure from scratch. Connect your existing auth and database, and Chatpack handles everything underneath. So today, we're open-sourcing Chatpack. > 24/7 real-time messaging between your users > typing, presence, read receipts, permissions, and conversation history > works with your existing auth + database, so your users and data stay yours Run it as a CLI or library. Fully open source. Repo is MIT licensed. If I were starting an AI company today, I'd clone this, pick a market, and begin shipping with Claude Code. Truly excited to see what comes out of this.

Daniel Ch

81,612 views • 17 days ago

🍵 Launch Your Own Organic Tea & Matcha Store – No Code Needed! Tea brands, matcha lovers, and wellness entrepreneurs—it’s time to bring your organic tea business online with a custom e-commerce dApp! With our E-commerce dApp Builder, you can create a cross-platform tea store in minutes—no coding required. ✅ Sell Organic Teas, Matcha, Herbal Blends & More ✅ Cross-Platform by Default – Android, iOS, Web, Windows, Mac, Linux ✅ Decentralized & Secure – Built on #ION for direct, fee-free transactions Skip third-party marketplaces—own your store, control your brand, and sell directly to tea lovers worldwide. 🍃 The future of e-commerce is brewing. Ready to build?

Ice Open Network

55,998 views • 1 year ago

Speaking of Dreams.. still kinda crazy to me how perfect of a match a tool like that is for generative AI workflows. Intuitive game engine/creative sandbox that allows you to build almost anything, running underneath a Gen AI render. Sculpting, painting, interacting with your two hands in 3d space, here using two move controllers which by now is tech from 2010. I haven't seen ANY way to interact with 3d that allows for the same fast and intuitive sculpting without forcing you to wear a VR headset. I made this scene a few years ago in 2 and a half hour or so as part of a 1 scene pr. episode of The Last of Us, and ran it through a combo of Runway and Sora to get to this result.

Speaking of Dreams.. still kinda crazy to me how perfect of a match a tool like that is for generative AI workflows. Intuitive game engine/creative sandbox that allows you to build almost anything, running underneath a Gen AI render. Sculpting, painting, interacting with your two hands in 3d space, here using two move controllers which by now is tech from 2010. I haven't seen ANY way to interact with 3d that allows for the same fast and intuitive sculpting without forcing you to wear a VR headset. I made this scene a few years ago in 2 and a half hour or so as part of a 1 scene pr. episode of The Last of Us, and ran it through a combo of Runway and Sora to get to this result.

Martin Nebelong

19,510 views • 11 months ago

MARCUS CHEN STACKED 30 MAC MINIS INTO AN AI SERVER FARM. ONE $599 MAC MINI REPLACES YOUR $200/MONTH CLAUDE CODE BILL WITH $3 IN ELECTRICITY two months ago a developer posted his claude code bill on reddit. $170 in 10 days. someone replied "i bought a mac mini m4. haven't paid anthropic since." apple stores ran out of mac minis the same week the m4 chip has 120 gb/s memory bandwidth and unified memory architecture. cpu and gpu share one pool so the model loads once and both read from it. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu since january 2026 ollama supports the anthropic messages api format. claude code connects directly to your local mac mini with one environment variable. same interface, zero api costs, $0 per request a heavy developer pays $459 a month across claude code max, chatgpt pro, gemini, cursor and copilot. that's $5,508 a year. the mac mini pays off in 3 months and runs on $3 in electricity after that uber rolled out claude code to 5,000 engineers and burned through their $3.4 billion 2026 ai budget in 4 months. the people who own the hardware in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

MARCUS CHEN STACKED 30 MAC MINIS INTO AN AI SERVER FARM. ONE $599 MAC MINI REPLACES YOUR $200/MONTH CLAUDE CODE BILL WITH $3 IN ELECTRICITY two months ago a developer posted his claude code bill on reddit. $170 in 10 days. someone replied "i bought a mac mini m4. haven't paid anthropic since." apple stores ran out of mac minis the same week the m4 chip has 120 gb/s memory bandwidth and unified memory architecture. cpu and gpu share one pool so the model loads once and both read from it. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu since january 2026 ollama supports the anthropic messages api format. claude code connects directly to your local mac mini with one environment variable. same interface, zero api costs, $0 per request a heavy developer pays $459 a month across claude code max, chatgpt pro, gemini, cursor and copilot. that's $5,508 a year. the mac mini pays off in 3 months and runs on $3 in electricity after that uber rolled out claude code to 5,000 engineers and burned through their $3.4 billion 2026 ai budget in 4 months. the people who own the hardware in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

357,679 views • 2 months ago

Box Hubs turns content chaos into a searchable, AI-powered knowledge base - built in minutes, no code required. The problem isn't lack of information. It's content sprawl making the right information impossible to find. Box Hubs changes that: 🔷Single source of truth that auto-updates when files change 🔷Ask natural language questions, get instant answers with citations via Box AI 🔷Drag-and-drop builder with multi-page portals, change notifications, and link previews 🔷Enterprise-grade security and governance from the start Stop duplicating files. Stop answering the same questions. Start putting your content to work. Find out how:

Box Hubs turns content chaos into a searchable, AI-powered knowledge base - built in minutes, no code required. The problem isn't lack of information. It's content sprawl making the right information impossible to find. Box Hubs changes that: 🔷Single source of truth that auto-updates when files change 🔷Ask natural language questions, get instant answers with citations via Box AI 🔷Drag-and-drop builder with multi-page portals, change notifications, and link previews 🔷Enterprise-grade security and governance from the start Stop duplicating files. Stop answering the same questions. Start putting your content to work. Find out how:

Box

251,013 views • 6 months ago

🚨 NVIDIA just flipped the entire AI game… and this is NOT about gaming. DeepSeek-V4-Pro is now live on their build platform. 1.6 TRILLION parameters. Yes… the largest open-source model on the planet right now. And here’s the crazy part: They’re letting you run it FREE On Blackwell GPUs in the cloud. This is the same level of hardware companies like Google, Meta, and Microsoft fight billions to access. Now it’s just… available. No waitlist. No insane setup. Just raw power. We’re watching the shift happen in real time: → From closed AI → open domination → From GPU scarcity → free access → From Big Tech control → builders winning This isn’t an update. It’s a warning shot. Who’s already testing this? Link👇

🚨 NVIDIA just flipped the entire AI game… and this is NOT about gaming. DeepSeek-V4-Pro is now live on their build platform. 1.6 TRILLION parameters. Yes… the largest open-source model on the planet right now. And here’s the crazy part: They’re letting you run it FREE On Blackwell GPUs in the cloud. This is the same level of hardware companies like Google, Meta, and Microsoft fight billions to access. Now it’s just… available. No waitlist. No insane setup. Just raw power. We’re watching the shift happen in real time: → From closed AI → open domination → From GPU scarcity → free access → From Big Tech control → builders winning This isn’t an update. It’s a warning shot. Who’s already testing this? Link👇

divyansh tiwari

29,941 views • 4 months ago

The startup world runs on iMessage. The problem is, the Mac messages app is not designed for productivity and there’s no alternative online. If you’re responding to 100+ texts a day, it’s painful and messages get lost easily. As a weekend project, I used Fable to vibecode an AI-native iMessage wrapper. It has: - AI autodrafting that continually learns from your edits - Time sensitive message detection as a separate section - The ability to archive messages so you can get to inbox zero. It reads from the local chat.db on your Mac, and sends messages via AppleScript, so it’s fully secure since it still uses the iMessage protocol on your computer. At Trajectory, we’re all about using AI to accelerate our company as much as possible as possible, and natively bake in CL into all of our processes. This is just one example of how we operate. If there’s enough interest, I’ll clean up the code and send the GH link!

The startup world runs on iMessage. The problem is, the Mac messages app is not designed for productivity and there’s no alternative online. If you’re responding to 100+ texts a day, it’s painful and messages get lost easily. As a weekend project, I used Fable to vibecode an AI-native iMessage wrapper. It has: - AI autodrafting that continually learns from your edits - Time sensitive message detection as a separate section - The ability to archive messages so you can get to inbox zero. It reads from the local chat.db on your Mac, and sends messages via AppleScript, so it’s fully secure since it still uses the iMessage protocol on your computer. At Trajectory, we’re all about using AI to accelerate our company as much as possible as possible, and natively bake in CL into all of our processes. This is just one example of how we operate. If there’s enough interest, I’ll clean up the code and send the GH link!

Ronak Malde

47,636 views • 1 month ago