Someone on GitHub just shared a massive list of free projects that are ridiculously good. Many of them can already replace software people are paying monthly subscriptions for. 1. TradingAgents AI-powered multi-agent quantitative trading framework github.com/TauricResearch/Tr… 2. LibreChat A unified interface for ChatGPT, Claude, Gemini, and other AI models github.com/danny-avila/Libre… 3. HyperFrames HeyGen's open-source video generation engine github.com/heygen-com/HyperF… 4. Fincept Terminal An open-source alternative to the Bloomberg Terminal github.com/Fincept-Corporati… 5. MoneyPrinterTurbo AI that generates short-form videos with a single click github.com/harry0703/MoneyPr… 6. Agentic Inbox Cloudflare's open-source AI email assistant github.com/cloudflare/agenti… 7. VoxCPM AI voice cloning platform github.com/OpenBMB/VoxCPM 8. Flowsint Open-source OSINT intelligence analysis tool github.com/reconurge/flowsin… 9. agent-skills A library of coding skills for Claude github.com/addyosmani/agent-… 10. Nango Open-source API integration platform github.com/NangoHQ/nango These aren't toy projects. A lot of the software you're still paying monthly for already has open-source alternatives built by developers on GitHub. Some of the most powerful tools on the internet aren't being advertised. They're hidden in GitHub repositories.

CLAUDE MYTHOS JUST CHANGED HOW WEBSITES GET BUILT A 12 minute tutorial showing how to build animated, award-winning websites with Claude Fable 5. The kind of site that used to take a team and weeks of work is now an afternoon project.

EVERY AI VOICE STARTUP SHOULD BE NERVOUS. A tiny open-source model just did what most thought required the cloud. Supertonic runs entirely on-device. No API. No subscriptions. No latency. No sending your data to someone else's servers. And the numbers are absurd: → 66M parameters → Up to 167× faster than real-time → 1,200 chars/sec on consumer hardware → Runs on Raspberry Pi, browsers, phones, and even e-readers → Handles dates, currencies, phone numbers, and technical text without messy preprocessing For years, the tradeoff was simple: Cloud TTS = quality Local TTS = compromise Supertonic just broke that equation. Open source is coming for every AI API business. GitHub: github.com/supertone-inc/sup… h/t @Supertone_AI

A dev got so frustrated watching his AI agent write 500 lines for a 5-line problem that he built a fix. He called it Ponytail. Named after the guy every team has - long ponytail, oval glasses, been there longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one. Now your agent does the same. Before writing anything, it looks for a reason not to. 80-94% less code. 47-77% cheaper. 3-6x faster. The best code is the code you never wrote. GitHub Repo: github.com/DietrichGebert/po…

🚨 BREAKING: The U.S. government just forced Anthropic to suspend Fable 5 and Mythos 5. - Only 3 days after launch. The reason: a reported jailbreak. (A jailbreak means someone found a way to get the model to ignore some of its safeguards and answer or do things it wasn't supposed to.) What's crazy is that this wasn't some random chatbot. Fable 5 and Mythos 5 were among the smartest AI models ever released. Anthropic spent months building safeguards around them. The company was extremely cautious about releasing these models because of what they might be capable of. And yet, here we are. Just 3 days after launch, the U.S. government stepped in. The order was so broad that it applied to foreign nationals even if they were physically inside the United States. That includes employees working at Anthropic itself. If you still think AI is just a cute productivity tool for writing emails, generating images, and automating tasks, think again. Governments are looking at these systems very differently. They are treating the smartest models in the world like something that can affect national security, cyber defense, and global power. And honestly? The government probably knows something most people don’t.

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PEWDIEPIE DROPPED A FREE LOCAL AI WORKSPACE WITH CHAT, AGENTS, DEEP RESEARCH, EMAIL, MEMORY, AND CALENDAR BUILT IN but free open-source still costs you time, setup, configuration, and too many choices, and for business owners that's a whole weekend gone before you get anything done.

🚨 BREAKING: Elon Musk just rang the Nasdaq opening bell as SpaceX officially went public. - He is now, the first trillionaire in modern history! SpaceX priced its IPO at $135 per share, raising around $75 billion and valuing the company at roughly $1.77 trillion, making it the largest IPO ever. What started in a small warehouse in El Segundo, today it includes Starship, Starlink, xAI, X, and its launch business under one umbrella. Together, they are trying to build something much bigger than a transportation company or an AI company. The mission in SpaceX's filing is simple but incredibly ambitious: "Make life multiplanetary." The company talks about building the technologies needed to connect the world, power advanced AI, establish a permanent presence on the Moon, build cities on Mars, reduce humanity's existential risks, and eventually extend human civilization beyond Earth. Love him or hate him, this is one of the wildest founder arcs in modern business.

10 GitHub repos that automate real work while you sleep in 2026. Bookmark this list. 1. OpenHands Autonomous coding agent. 76,500 stars. Used by engineers at Apple, Google, Amazon, Netflix, and NVIDIA. Repo → github.com/All-Hands-AI/Open… 2. Hermes Agent Nous Research dropped this in February. 191,000 stars in three months. Self-improving personal AI. Repo → github.com/NousResearch/herm… 3. CrewAI Multi-agent workflows that ship real work. Used by 60% of Fortune 500. Repo → github.com/crewAIInc/crewAI 4. Aider AI pair programmer in your terminal. Auto-commits clean diffs. Indie devs ship 5x faster with it. Repo → github.com/paul-gauthier/aid… 5. n8n Open-source Zapier. 400 integrations. Self-hosted workflows that run forever without subscription fees. Repo → github.com/n8n-io/n8n 6. LangGraph The orchestration backbone every production AI agent runs on in 2026. Repo → github.com/langchain-ai/lang… 7. Cloudflare Agentic Inbox Self-hosted email client with a built-in AI agent that reads your inbox and drafts replies. Repo → github.com/cloudflare/agenti… 8. Browser Use 98,000 stars. Agents navigate the web, fill forms, scrape data, book meetings. Repo → github.com/browser-use/brows… 9. awesome-mcp-servers The catalog of every tool your agent can plug into. GitHub, Slack, Linear, Stripe, Postgres, Notion. Repo → github.com/punkpeye/awesome-… 10. claude-task-master Multi-agent task orchestration on top of Claude Code. Turn one prompt into a team shipping a feature while you sleep. Repo → github.com/eyaltoledano/clau… Save this. 100% free. 100% open source.

SEARCHES JOBS, TAILORS CVs, AND AUTOMATES APPLICATIONS. This open-source AI agent finds relevant jobs, customizes your resume for each role, and can even handle applications automatically. GitHub: github.com/MadsLorentzen/ai-…

Wi-Fi motion detection without cameras. A project called ESpectre turns ordinary Wi-Fi signals into a motion sensor. It detects movement and presence by analyzing how people disturb wireless signals in a room — no cameras, wearables, or dedicated sensors required. github.com/francescopace/esp…

Jeff Bezos on CNBC explains revealed what Prometheus is building. Today his new company Prometheus announced a $12B funding round at a valuation of $41B . Prometheus trying to build an artificial general engineer that can help design and manufacture physical products like engines, medical devices, and electronics. So the target areas are hard physical products like jet engines, chips, bridges, medical devices, consumer electronics, aerospace systems, vehicles, and drug design, where design cycles can take years because every idea has to survive physics, materials, cost, testing, and factory limits. Bezos’ jet-engine example explains it well: asking for the same engine with 10% more thrust can become a 10-year engineering program, and Prometheus wants to shrink that “dream-build” cycle by 10x or more. The $6.2B launch funding gave Prometheus a massive starting base, and the new raise says the company likely needs far more compute, talent, and industrial data before it can prove the product. Their $41B valuation shows that frontier AI is becoming less a software race than a compute procurement race. A company with no broadly shipped product can raise $12 billion at a $41 billion valuation because investors are not only funding a model, they are prepaying for the machines that might make the model possible. The scarce asset is no longer just talent or algorithms, but clustered GPUs, power contracts, cooling, networking, and the operational skill to keep expensive silicon busy. They are proof that demand is arriving faster than infrastructure can be built, and that every frontier funding round quietly turns into a future claim on power, racks, GPUs, and uptime.

WORLD'S FIRST TRILLIONAIRE. A headline that would've sounded insane 10 years ago. Today people are arguing about when, not if. That's how fast the future arrived.

SOMEONE VIBE-CODED A VIDEO STREAM THAT ISN'T ACTUALLY VIDEO. It plays 360p at 30fps. But there's no video file. No media element. No codec. Just text. The project is called ASCILINE. Here's how it works: → The server decodes real video frames and converts them into packed text data → That data is streamed over WebSockets → The browser repaints thousands of colored ASCII characters onto a canvas fast enough to look like video To the browser, it's not media. It's just JavaScript updating text. Which means: • Ad blockers can't block the video element (because there isn't one) • Autoplay restrictions don't trigger • Bandwidth stays tiny since it's mostly text data • You can style video with CSS effects • Copy-paste a frame as text • Feed frames directly into local LLM workflows The weird part? An unblockable video stream is also an unblockable ad. Project: github.com/YusufB5/ASCILINE

This guy asked Claude Fable 5 to build a V8 engine. Not explain it. Build it. Less than 10 minutes later, it returned a fully functional CAD model. CAD is changing faster than most people realize.

We're entering a world where the hardest part of making a video... is having an idea worth making. Everything else is becoming a conversation with AI. The gap between imagination and creation is collapsing. Most people haven't realized how big that is yet.