As a dev, which language would you trust to build your entire career on today? • Python • Java • C • HTML/CSS/JS and why?

$SRXH ➡️ $EMJX Nice to see some green on the screen yesterday and buyers stepping up to slap the ask! 📈 Every day we move closer to leaving behind the old dog food company story and becoming what many of us have been waiting for: EMJX and the Gen2 vision led by @ericjackson . The treasury is already being built, the roadmap is becoming clearer, and the opportunity ahead looks nothing like the company SRXH was in the past. That’s why I’ve stayed patient through all the noise, bears, and endless merger delay. As for merger closing odds this week? Just my opinion (NOT financial advice), but I’d put it at better than 75/25 that we see closure and/or meaningful PR very soon. The pieces appear to be lining up, and each day that passes is one day closer to the finish line. The future isn’t about what SRXH was. It’s about what EMJX can become. #SRXH #EMJX #Gen2 #Bitcoin #CryptoTreasury #Stocks #Board #Retailinvestors #RisingDynasty JMO. Not financial advice. Do your own due diligence.

$SRXH / $EMJX Is today the day? Is tomorrow the day? Or is next week the day we finally see the fireworks we’ve all been waiting for? With the anticipated closing of the SRXH/EMJX merger approaching, the countdown feels shorter than ever. While nobody knows the exact moment the market will fully recognize what is being built, one thing is clear: this is no longer just a dog food company story. Under @EricJackson’s leadership, the vision is centered around a Gen2 platform with an existing treasury already in place and operating. Unlike many companies that start with a concept and a promise, this treasury has already begun laying the foundation for future growth and capital deployment. The bears have laughed. The shorts have doubted. The faithful shareholders have endured the waiting. But transformational mergers aren’t built overnight, and the biggest opportunities often require the most patience. When this merger closes as expected, we could be witnessing the beginning of what many believe will be one of the most anticipated bull runs in the market. Maybe the only thing generating more excitement is the SpaceX IPO. The future belongs to innovators. The future belongs to Gen2. $SRXH $EMJX #Gen2 #Bitcoin #CryptoTreasury

@ericjackson with an updated bio. “Upstream of Kalshi and Polymarket” His proprietary tech is better at predicting than current prediction markets. Stated with a purpose. The same tech that is leading the way in guidance of the treasury. $SRXH / $EMJX 🔐🐾🤝

I've been running an open source project for 2 years. Here's what I actually learned about maintainership: 1. First 3 months are the hardest. I almost quit twice. You need 5-6 contributors before momentum builds—you'll handle 95% of work until then. 2. Good docs > good code. My project exploded when I spent a week on clear README examples. Issues dropped 70%, PRs doubled. 3. Automated testing saved my project. I wasted 30 hours manually checking PRs before setting up GitHub Actions. Now I can review 5x faster. 4. I stopped answering every question immediately. Now I wait 24 hours. This gave space for other contributors to help, building community. The best maintainers don't code the most—they remove barriers for others to contribute. What's your biggest open source lesson? 👇

NVIDIA just claimed the AI inference crown while everyone was busy talking about their GPUs. Let me explain what this actually means. > Jensen is claiming NVIDIA has the lowest cost per token in the world - this is about AI inference (running models), not just training them > This is a direct shot at AWS, Google, and especially startups like Groq who are positioning themselves as the faster/cheaper inference solution > NVIDIA is saying they've optimized the full stack - hardware, software, and system design - to get maximum efficiency per watt > The margins in AI are shifting from selling hardware to running inference at scale - whoever has the lowest cost per token controls the economics > This is why they're building Blackwell with so much focus on inference performance - they see where the real money will be NVIDIA is transforming from a chip company to an end-to-end AI infrastructure company that wants to own every layer of the stack. The GPU wars were just the opening battle. The real war is about who can run AI most efficiently at scale - and NVIDIA just declared they've already won.

I feel like this is @ericjackson right now with $EMJX and no one sees it !

Google just bridged the gap between prompting and coding XR. Let me explain what this actually means. > Vibe Coding XR is a no-code workflow that generates WebXR applications from simple user prompts > It leverages Gemini to understand what you want, then auto-generates the 3D assets, physics, and interaction code > The "XR Blocks" framework handles all the complex WebXR implementation details - stuff that would take days to code manually > It's built to iterate rapidly - meaning you can tweak, refine and test spatial experiences in minutes instead of weeks > The demo shows full physics simulation, gesture recognition, and multi-user interactions - all generated from simple text The gap between "I have an XR idea" and "I have a working XR prototype" just collapsed from months to minutes. This is the missing piece that will finally let non-developers flood the XR market with applications that actually work.

🚨 A small open-source project just crossed 7,600 GitHub stars by making one of the most annoying parts of AI development disappear. Let me explain what litellm actually does. > It's a single lightweight adapter that lets you swap between OpenAI, Anthropic, Gemini, and 100 other LLM providers without changing your code > One line of code handles all the auth, rate limiting, and response parsing differences between providers > Your app keeps working even when OpenAI has an outage - just redirect to Anthropic in seconds > No more rewriting your entire codebase when a better/cheaper model launches > The entire thing is 100% open source and community maintained - not VC funded with an inevitable monetization trap This is the unsexy infrastructure that actually makes AI development sustainable instead of a fragile house of cards. The companies that survive the next 3 years will be the ones who didn't lock themselves into a single provider's ecosystem.

🚀 Just dropped: /last30days v2.9.5 – now even more powerful inside Claude Code! This skill is straight fire if you want to stay dangerously current. It scans the last 30 days across: - Reddit - X - Bluesky (new!) - YouTube, TikTok, Instagram - Hacker News, Polymarket - the open web …then gives you a grounded, well-cited narrative of what the community is actually saying, upvoting, sharing, and betting on. What’s new in v2.9.5: - Bluesky/AT Protocol support (full search scoring) - New “Comparative Mode” – ask “X vs Y” and get a proper side-by-side verdict - Per-project .env config auto session validation - Auto-save every run as a nicely named .md file in your Documents/Last30Days folder (building your personal research library automatically) Plus improved Reddit top comments via ScrapeCreators, smarter discovery, and 455 tests for reliability. If you live in Claude Code (or want to), this is one of the highest-ROI skills you can install right now. Install commands: /plugin marketplace add mvanhorn/last30days-skill /plugin install last30days@last30days-skill (or clawhub install last30days-official) Big thanks to the maintainer for keeping this beast updated. Who else is using /last30days? Drop your best use cases below 👇 #ClaudeCode #AI #ResearchTools #Last30Days

This seemingly minor "auto mode" update fundamentally changes the AI coding assistant game. Let me explain what this actually means. > Claude just solved the biggest friction point in AI pair programming - the constant permission prompts that break your flow > Every other coding assistant forces you to choose: approve every single action (tedious) or grant unlimited permissions (risky) > Auto mode with safeguards means Claude can make judgment calls on safe operations while still protecting you from potentially harmful ones > This removes the mental overhead of reviewing each file write while maintaining the security boundary > The real innovation isn't the automation - it's the intelligent permission model that actually understands context and intent This is how AI tools should work - they should reduce cognitive load without compromising safety. The assistant that respects both your time and your system's integrity will be the one developers actually keep using day after day.

Why does your neck hurt so much? Me scrolling x x.com/MarchUnofficial/status…

Me after getting 2 likes and 10 impressions

I just tried Windsurf's "Entire Stack Mode." This is the GitHub Copilot killer we've been waiting for. It doesn't just write code - it literally builds and deploys your entire app from a single prompt. Backend, frontend, database, auth - all working. The most shocking part? It writes cleaner code than most senior devs I've worked with. Are we finally at the point where coding skills matter less than prompt engineering?

Apple is about to start monetizing your attempts to not get lost. Let me explain what this actually means. > Apple Maps finally caught up to Google Maps in quality after years of being a joke... and now they're about to ruin the experience > "Ads in Maps" means businesses will pay to appear when you search for something generic like "coffee shop" or "gas station" > Apple's services revenue hit $85 billion last year but Tim Cook promised investors he'd double it... so now every app gets ads > Maps was one of the last ad-free zones in Apple's ecosystem... joining Weather which got ads last year > The "Apple doesn't sell your data, they sell devices" era is officially over Apple spent a decade positioning itself as the privacy-focused alternative to Google's data harvesting business model. Now they're quietly becoming the thing they mocked, just with a higher profit margin and better marketing.

A billionaire VC just bet $2B that AI-powered cow herding is the future. Let me explain what this actually means. > Traditional farming is being completely reimagined through machine learning and computer vision > This isn't about incremental efficiency - it's about replacing human judgment in one of humanity's oldest professions > The pattern is clear: VCs are now hunting for AI applications in industries untouched by software automation > Founders Fund isn't betting on cows - they're betting that AI can extract value from physical-world processes that software alone couldn't touch > The $2B valuation signals they believe the TAM isn't just agriculture - it's every industry where humans currently manage physical assets The next wave of AI unicorns won't be chatbots or coding assistants - they'll be companies bringing intelligence to the physical world. Silicon Valley finally discovered that the economy extends beyond the internet... and they're about to digitize everything else.

They're not being hyperbolic. Orbital manufacturing will change civilization more than the internet did. Let me explain what this actually means. > TERAFAB is a space-based manufacturing platform that can produce materials impossible to make in Earth's gravity > This isn't just "factories in space" — it's about creating entirely new classes of materials with perfect crystal structures, zero impurities, and properties we've only theorized > Think semiconductors 1000x more efficient, medical implants with zero rejection rates, and structural materials so strong they enable structures we can't even build today > The companies that control orbital manufacturing will have the same advantage as those who controlled oil in the 20th century > While everyone's focused on AI, the real multi-trillion dollar economy is being built 250 miles above our heads The first industrial revolution let us harness steam, the second gave us electricity, and the third brought computing. The fourth is happening in orbit. The wealth created by space manufacturing will make today's tech billionaires look like corner store owners. And it starts with platforms like TERAFAB.

🚨 Someone just saved you 100 hours of GitHub repo diving. Let me explain why this list actually matters. > Most Claude skills are just glorified prompts that break after 2 questions or have zero practical use > The difference between a top 1% Claude skill and average is astronomical - one solves real problems, the other is performative AI theater > GitHub repos for AI tools are 90% abandoned experiments, 9% overengineered solutions to simple problems, and 1% genuinely useful code > Finding that 1% is worth thousands of dollars in dev time - which is exactly what this person just handed you for free Most devs waste weeks building what someone else already perfected, simply because they didn't know it existed. This is the kind of resource you bookmark and actually come back to - unlike the 47 other AI listicles sitting in your unread tabs right now.