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Just dropped HeroUI Native v1.0.0-alpha.9 🚀 ✨ New components 🔧 Refactors 🐛 Fixes We’re not just shipping code - we’re testing how it fits into real scenarios. That’s why we’re building showcase UIs inspired by real cases. First battle case: Onboarding step ⚡️️ Built with Card, DropShadowView, Chip, Button... show more

HeroUI

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19,435 次观看 • 11 个月前 •via X (Twitter)

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Karlsen Network Stage 2 is Coming!🚀 At #Karlsen Network, we believe in building the future with integrity and dedication. That’s why we’ve spent months actively developing this major update, ensuring it’s built on solid ground before sharing it with the world. We’re thrilled to reveal that we now have our first results—and they’re set to seriously redefine our roadmap. We’re proud to introduce Network Stage 2, a transformative update that will reshape how computational power is used across the network. With Proof of Useful Work (#PoUW), miners can now perform real-world computations alongside block proof of work, unlocking new earning potential and revolutionizing #GPU usage. With this we celebrate our 1 year anniversary🎂, thank you for your continued trust and support. Together, we’re not just building a network; we’re shaping the future. Enjoy the video!📽 Karlsen Network $KLS

Karlsen Network Stage 2 is Coming!🚀 At #Karlsen Network, we believe in building the future with integrity and dedication. That’s why we’ve spent months actively developing this major update, ensuring it’s built on solid ground before sharing it with the world. We’re thrilled to reveal that we now have our first results—and they’re set to seriously redefine our roadmap. We’re proud to introduce Network Stage 2, a transformative update that will reshape how computational power is used across the network. With Proof of Useful Work (#PoUW), miners can now perform real-world computations alongside block proof of work, unlocking new earning potential and revolutionizing #GPU usage. With this we celebrate our 1 year anniversary🎂, thank you for your continued trust and support. Together, we’re not just building a network; we’re shaping the future. Enjoy the video!📽 Karlsen Network $KLS

Karlsen Network

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We’re excited to launch the OptimAI Explorer, showcasing the true power of our community-driven Data Network, where every node shapes the future of Persona Agentic AI Systems. 👉 Together, we’ve built something incredible: ✨350,000+ registered users ✨179 countries ✨640,000+ node installations worldwide But these aren’t just numbers - they’re the heartbeat of a revolution. Each OptimAI Node contributes bandwidth, compute, and human insights to weave the world’s first decentralized reinforcement data layer. This isn’t AI owned by corporations. This is AI powered by the people. 🌍With OptimAI, you don’t just use AI - You shape it. + Persona Agents that mirror your style. + Smarter systems governed by the community through DataDAO. + Real value, real rewards, for every contribution. The Agentic Era has begun. And your role is pivotal. 👉 Become a node. Shape the network. Build the future. 🔗 Together, we’re not just building tech. We’re building freedom, intelligence, and impact. 💪

OptimAI Network

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Elon Musk: We’re heading toward a future where human intelligence becomes a microscopic minority—not just on Earth, but across the entire solar system. Best case? Earth-based intelligence only taps into about one billionth of the Sun’s energy. That’s it. Just a fraction of a fraction. Even the total solar energy reaching Earth is roughly half a billionth of the Sun’s output—and that’s already the majority of what we can access today. Now imagine expanding beyond Earth. The moment intelligence scales into the solar system, the gap explodes. Orders of magnitude more energy. Orders of magnitude more intelligence. What exists on Earth today becomes almost negligible in comparison. We’re not just building smarter systems—we’re entering an era where intelligence itself scales with energy. And the solar system has almost unlimited supply. The real question isn’t if this happens… it’s how humanity fits into a world where it’s no longer the dominant form of intelligence.

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Destra Network

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Most people look at Kyrie and say, “You can’t teach that. He just moves different.” That’s the easy answer. It’s also wrong. What you’re really seeing is a system that was built over years: a body with certain tools (hips, ankles, arms, hands)… dropped into environments that forced creativity, strategic failure, and constant problem-solving. His vision, the ball, and his body learned how to work together under real pressure. That’s not a lucky glitch. That’s a movement library. Coach Tommy Tempesta spent years reverse-engineering that process with visual evidence. We stress space and time, ball height and reception, posture changes, elastic vs muscular energy, and how your vision actually drives decision and deception. We’re not chasing “pretty drills.” We’re building adaptability that holds up when the defender, speed, and spacing all change.

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We just killed the like button. Why? Because it means nothing. A “like” when someone shares something hard? A “like” when someone asks for help with a vendor? It’s lazy. It’s outdated. It adds noise, not signal. Workweek is building a new kind of social platform. One built for business leaders. Leaders who want to grow. Who need someone to commiserate with. Who want a trusted space to talk shop. But traditional social platforms don’t optimize for those conversations. They reward dopamine loops, posturing, and engagement bait. They’re built to boost DAUs, not your career. We’re not doing that. So we removed likes. We removed emojis. In their place: - Context-aware reactions powered by AI that drive easy connections - Private replies that actually start conversations - No AI slop in the comments. As always, only real verified people, talking to each other This isn’t about going viral. It’s about providing value. Real signal. Real connection. Real outcomes. And today, we got a little closer to that.

Adam Ryan 🤝

115,681 次观看 • 1 年前

And this just in ... Snowflake and Anthropic are expanding our work across Snowflake Cortex AI – with Claude powering Snowflake Cortex Code and Snowflake Intelligence – as well as Claude Marketplace. 🚀 As more organizations use Anthropic Claude models directly inside Snowflake, demand continues to grow for governed, production-ready AI that delivers the security, observability, and scale enterprises require. Together, Snowflake and Anthropic are helping accelerate enterprise AI adoption and build the foundation for the agentic enterprise. See how we’re building it together, and how customers are using Snowflake and Anthropic to power real-world AI use cases across their organizations:

And this just in ... Snowflake and Anthropic are expanding our work across Snowflake Cortex AI – with Claude powering Snowflake Cortex Code and Snowflake Intelligence – as well as Claude Marketplace. 🚀 As more organizations use Anthropic Claude models directly inside Snowflake, demand continues to grow for governed, production-ready AI that delivers the security, observability, and scale enterprises require. Together, Snowflake and Anthropic are helping accelerate enterprise AI adoption and build the foundation for the agentic enterprise. See how we’re building it together, and how customers are using Snowflake and Anthropic to power real-world AI use cases across their organizations:

Snowflake

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Today we’re announcing @kodezi Chronos-1. After years of research, iteration, and failure, we’ve built something radically new. Chronos-1 is the world's first large language model purpose-built for debugging. Unlike LLMs that just autocomplete, Chronos-1 understands, diagnoses, and heals code.While most LLMs are trained to generate code, Chronos-1 is trained to investigate, remember, and resolve it. What makes Chronos-1 different: - Debugging-first architecture - Multi-level memory engine trained on millions of bugs, logs, and test cases - Adaptive retrieval that scales to entire codebases - 23% better bug detection and 40% fewer debugging cycles in real-world evaluation - Native integrations with IDEs, CI/CD, and observability workflows Chronos-1 powers Kodezi OS, your AI-native CTO that autonomously maintains, evolves, and governs your codebase. Kodezi OS exits beta in Q1 of 2026. We’ve raised a fresh round of funding and are focused on becoming the leader in code maintenance. We’re hiring cracked engineering and product talent, with base starting at $200K. If you’re interested in building the future of code maintenance and helping shape how software heals and improves itself, message me.

Ishraq Khan

125,265 次观看 • 8 个月前

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We are unlocking something big 🔥 With Nexera Chain now live on mainnet, we’re bringing a completely new experience to the market, one that lowers the barrier to ZERO and opens the door to anyone wanting to enter tokenization. No blockchain knowledge. No dev skills. Just an idea and a simple AI prompt. From that prompt, you instantly get a fully functional landing page and a tokenized marketplace. All powered by Nexera Chain. This changes everything. It means Web2 creators, companies, and entrepreneurs can now launch tokenized products and markets without ever touching a line of code. This is how Nexera Chain will drive real adoption. This is how we onboard the next wave of TVL. This is how we turn curious users into real builders. We're not just enabling new use cases. We're creating a new standard. Nexera Chain is here. And it's about to get wild. $NXRA 🚀

Nexera

32,105 次观看 • 1 年前

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

FX1

23,913 次观看 • 1 年前

Today we’re releasing the nocy Wallet + nocy DEX to the community for testing. This isn’t a teaser, it’s the first real front door into privacy-first #DeFi on Midnight nocy has been built from the ground up to match Midnight’s rational privacy model: private by default, provable when it matters. What’s live now: 🛡️ nocy Wallet - native #Midnight wallet supporting shielded + unshielded balances, clear UX for privacy flows, and DUST fee generation via registered $NIGHT UTXOs. 🛡️ nocy DEX (MVP) - a central limit order book spot market designed for shielded trading with real buy/sell orders and tight execution. We’ve built these tools not just as products, but as the interfaces people actually use in a privacy-native environment. Get started: 🔗 Wallet: 🔗 DEX: 🔗 Faucet (test tokens): 💡 We’ll be dropping setup guides, best practices, and beta updates in Discord and we want feedback (and bug reports) from early users. Details + guides: If you’re building on Midnight: come break this with us.

Today we’re releasing the nocy Wallet + nocy DEX to the community for testing. This isn’t a teaser, it’s the first real front door into privacy-first #DeFi on Midnight nocy has been built from the ground up to match Midnight’s rational privacy model: private by default, provable when it matters. What’s live now: 🛡️ nocy Wallet - native #Midnight wallet supporting shielded + unshielded balances, clear UX for privacy flows, and DUST fee generation via registered $NIGHT UTXOs. 🛡️ nocy DEX (MVP) - a central limit order book spot market designed for shielded trading with real buy/sell orders and tight execution. We’ve built these tools not just as products, but as the interfaces people actually use in a privacy-native environment. Get started: 🔗 Wallet: 🔗 DEX: 🔗 Faucet (test tokens): 💡 We’ll be dropping setup guides, best practices, and beta updates in Discord and we want feedback (and bug reports) from early users. Details + guides: If you’re building on Midnight: come break this with us.

nocy

26,540 次观看 • 7 个月前

Holy shit… someone just made machine learning click. Not static diagrams. Not math-heavy PDFs. Not black-box training. Real algorithms — training step-by-step — visually. It’s called Machine Learning Visualized and it lets you watch models learn in real time. Here’s why this is different: Instead of dumping theory first, it shows optimization happening live: • gradients moving • weights updating • decision boundaries shifting • loss decreasing • models converging You literally see learning happen. Everything is built from first principles: • Gradient Descent • Logistic Regression • Perceptron • PCA • K-Means • Neural Networks • Backpropagation No magic. Just math → code → visualization. Each chapter is a Jupyter notebook that derives the math then implements it then animates training. So you can watch: • neural nets shape decision surfaces • PCA rotate feature space • K-means clusters form live • gradient descent find minima • sigmoid reshape boundaries • backprop update weights step-by-step This solves a huge problem: Most ML resources teach: math → code → ??? → trained model This shows: math → code → learning process → result Which means you finally understand: • why gradients matter • how weights evolve • what loss landscapes look like • how convergence actually happens • why deep nets learn non-linear functions Even better: You can open any notebook modify parameters and watch behavior change instantly. Learning ML becomes interactive. Not passive. Not abstract. Not confusing. Just… visible. Perfect for: • beginners learning ML • devs moving into AI • interview prep • teaching concepts • understanding backprop • visual learners • building intuition This is the kind of resource that makes neural networks finally “click”. Link: We’re moving from: reading about ML → watching ML learn That’s a big shift. Because once you can see training, you stop memorizing… and start understanding. AI education just got visual.

Holy shit… someone just made machine learning click. Not static diagrams. Not math-heavy PDFs. Not black-box training. Real algorithms — training step-by-step — visually. It’s called Machine Learning Visualized and it lets you watch models learn in real time. Here’s why this is different: Instead of dumping theory first, it shows optimization happening live: • gradients moving • weights updating • decision boundaries shifting • loss decreasing • models converging You literally see learning happen. Everything is built from first principles: • Gradient Descent • Logistic Regression • Perceptron • PCA • K-Means • Neural Networks • Backpropagation No magic. Just math → code → visualization. Each chapter is a Jupyter notebook that derives the math then implements it then animates training. So you can watch: • neural nets shape decision surfaces • PCA rotate feature space • K-means clusters form live • gradient descent find minima • sigmoid reshape boundaries • backprop update weights step-by-step This solves a huge problem: Most ML resources teach: math → code → ??? → trained model This shows: math → code → learning process → result Which means you finally understand: • why gradients matter • how weights evolve • what loss landscapes look like • how convergence actually happens • why deep nets learn non-linear functions Even better: You can open any notebook modify parameters and watch behavior change instantly. Learning ML becomes interactive. Not passive. Not abstract. Not confusing. Just… visible. Perfect for: • beginners learning ML • devs moving into AI • interview prep • teaching concepts • understanding backprop • visual learners • building intuition This is the kind of resource that makes neural networks finally “click”. Link: We’re moving from: reading about ML → watching ML learn That’s a big shift. Because once you can see training, you stop memorizing… and start understanding. AI education just got visual.

Suryansh Tiwari

132,607 次观看 • 4 个月前

We built and launched a viral AI product in 2 months (at Google!). Here's how: Our little NotebookLM team has had a crazy few months and is proving that small, nimble teams not only exist within Google, but can move fast and have significant impact. Our newest feature “Audio Overviews” has taken over the internet the past few days. The team has been sprinting - we went from idea to prototype in weeks, then launched publicly in under 2 months. It’s not perfect (yet!), but that’s the point. Here are a few takeaways: 1. It's about building products *with* our users, not just *for* them. We’re not waiting to launch, we’re shipping early and iterating. Tech is evolving faster than users can possibly know what they want. We're often anticipating needs for V1 then working alongside them to improve. Example: Very quickly we saw a massive user desire for in-line citations so our team quickly pivoted to build and launch. (Join our discord!) 2. Built-in not bolted-on: We’re building net-new, AI native products. This isn’t just AI for the sake of “AI”, we’re working to bridge the gap between state-of-the-art research and human problems. Audio Overviews are great because they sound amazing, yes -- but useful because they are (1) source grounded and (2) an easy one-click way to study and digest your own information. 3. Meetings are spent building, not just talking about building. We’re collaborating, deeply. I am the only UX designer on the team so we have to make every moment count. @raiza_abubakar, Steven Johnson and I are constantly strategizing and iterating together. NotebookLM represents a new era of product development within Labs at Google. We're putting user feedback and community engagement at the heart of everything we do. We’re building quickly and have a lot more coming soon.. The audio below is made with the NotebookLM Audio Overview feature using only my LinkedIn post! If you haven’t tried it, I highly recommend it. We want to make it better for you! It’s been awesome to see so much investigation into the product by Andrej Karpathy and Ethan Mollick.

We built and launched a viral AI product in 2 months (at Google!). Here's how: Our little NotebookLM team has had a crazy few months and is proving that small, nimble teams not only exist within Google, but can move fast and have significant impact. Our newest feature “Audio Overviews” has taken over the internet the past few days. The team has been sprinting - we went from idea to prototype in weeks, then launched publicly in under 2 months. It’s not perfect (yet!), but that’s the point. Here are a few takeaways: 1. It's about building products with our users, not just for them. We’re not waiting to launch, we’re shipping early and iterating. Tech is evolving faster than users can possibly know what they want. We're often anticipating needs for V1 then working alongside them to improve. Example: Very quickly we saw a massive user desire for in-line citations so our team quickly pivoted to build and launch. (Join our discord!) 2. Built-in not bolted-on: We’re building net-new, AI native products. This isn’t just AI for the sake of “AI”, we’re working to bridge the gap between state-of-the-art research and human problems. Audio Overviews are great because they sound amazing, yes -- but useful because they are (1) source grounded and (2) an easy one-click way to study and digest your own information. 3. Meetings are spent building, not just talking about building. We’re collaborating, deeply. I am the only UX designer on the team so we have to make every moment count. @raiza_abubakar, Steven Johnson and I are constantly strategizing and iterating together. NotebookLM represents a new era of product development within Labs at Google. We're putting user feedback and community engagement at the heart of everything we do. We’re building quickly and have a lot more coming soon.. The audio below is made with the NotebookLM Audio Overview feature using only my LinkedIn post! If you haven’t tried it, I highly recommend it. We want to make it better for you! It’s been awesome to see so much investigation into the product by Andrej Karpathy and Ethan Mollick.

Jason Spielman

369,311 次观看 • 1 年前

just dropped a 24-min walkthrough showing how I turn raw n8n automations into actual front-end apps that your team can use no clunky JSON files, no ugly interfaces, and no dev team required I built a clean UI for one of my n8n flows - start to finish - all in one session it’s not a polished SaaS - but it is a working MVP you can test, share, or hand off step-by-step: – mapped the UX in ChatGPT – built the UI live in Bolt – connected it to the backend automation by the end, I had a usable internal tool that felt like a real product — all without writing a single line of frontend code if you're building powerful automations but not wrapping them in UI… you’re missing half the value also dropped my full prompt stack for planning and generating UIs with Claude or ChatGPT want the prompts? comment “UI”, follow + repost and I’ll send them over (must be following so I can DM)

just dropped a 24-min walkthrough showing how I turn raw n8n automations into actual front-end apps that your team can use no clunky JSON files, no ugly interfaces, and no dev team required I built a clean UI for one of my n8n flows - start to finish - all in one session it’s not a polished SaaS - but it is a working MVP you can test, share, or hand off step-by-step: – mapped the UX in ChatGPT – built the UI live in Bolt – connected it to the backend automation by the end, I had a usable internal tool that felt like a real product — all without writing a single line of frontend code if you're building powerful automations but not wrapping them in UI… you’re missing half the value also dropped my full prompt stack for planning and generating UIs with Claude or ChatGPT want the prompts? comment “UI”, follow + repost and I’ll send them over (must be following so I can DM)

J.B.

58,257 次观看 • 1 年前

[NEW] a16z a16z speedrun 🧊 request for startups: Social Simulation We’ve trained AI to predict text, images, and even protein structures—but what if the next frontier is predicting us? What we’ll do, how we’ll act, what we’ll choose? Imagine launching products into synthetic markets before writing code. Testing political narratives on digital twins of the electorate. Running ad campaigns on AI clones of your customers. This isn’t sci-fi—it’s already happening. We’re seeing the rise of startups building the Oracle of Delphi for the real world: not just analytics, but full-stack simulations of people, groups, and society itself. Some ideas we’re excited about: - Digital clones of real people—powered by interviews, videos, and behavior logs - AI focus groups that simulate millions of users, not dozens - Synthetic social graphs to preview how ideas spread across populations - Social listening data feedback loops that improve prediction engines over time The best founders here aren’t just modeling the world: they’re simulating it. That opens up new terrain for product, policy, marketing, and more. If you’re building in this space, DM us and apply for a16z speedrun 🧊!

[NEW] a16z a16z speedrun 🧊 request for startups: Social Simulation We’ve trained AI to predict text, images, and even protein structures—but what if the next frontier is predicting us? What we’ll do, how we’ll act, what we’ll choose? Imagine launching products into synthetic markets before writing code. Testing political narratives on digital twins of the electorate. Running ad campaigns on AI clones of your customers. This isn’t sci-fi—it’s already happening. We’re seeing the rise of startups building the Oracle of Delphi for the real world: not just analytics, but full-stack simulations of people, groups, and society itself. Some ideas we’re excited about: - Digital clones of real people—powered by interviews, videos, and behavior logs - AI focus groups that simulate millions of users, not dozens - Synthetic social graphs to preview how ideas spread across populations - Social listening data feedback loops that improve prediction engines over time The best founders here aren’t just modeling the world: they’re simulating it. That opens up new terrain for product, policy, marketing, and more. If you’re building in this space, DM us and apply for a16z speedrun 🧊!

Colin Campbell

60,676 次观看 • 1 年前

🚨Dear Hakeem Jeffries, You stood in front of the country… and told us that the Supreme Court took away Black people’s right to vote. Let that sink in. That’s not a misunderstanding. That’s not a misquote. That’s not “spin.” That is a statement that does not match reality. No one lost their vote. No one was removed from the process. No ballots were taken. So the question becomes… Why say it? Why take something that is a legal debate about how districts are drawn… and turn it into a claim that people are being stripped of their fundamental rights? Because once you convince people they’re under attack… you don’t have to explain anything else. And that’s where this video starts. We’re going to break this down cleanly… step by step… no emotion, just facts… What the Court actually said… What Jeffries claimed… And why those two things don’t line up. If you sir, care about truth… if you care about being told what’s real and not what’s useful… Stay right here. Let’s get into it. #SilentMajoritySpeaks #AStoneGroove

🚨Dear Hakeem Jeffries, You stood in front of the country… and told us that the Supreme Court took away Black people’s right to vote. Let that sink in. That’s not a misunderstanding. That’s not a misquote. That’s not “spin.” That is a statement that does not match reality. No one lost their vote. No one was removed from the process. No ballots were taken. So the question becomes… Why say it? Why take something that is a legal debate about how districts are drawn… and turn it into a claim that people are being stripped of their fundamental rights? Because once you convince people they’re under attack… you don’t have to explain anything else. And that’s where this video starts. We’re going to break this down cleanly… step by step… no emotion, just facts… What the Court actually said… What Jeffries claimed… And why those two things don’t line up. If you sir, care about truth… if you care about being told what’s real and not what’s useful… Stay right here. Let’s get into it. #SilentMajoritySpeaks #AStoneGroove

A Gene Robinson

137,747 次观看 • 3 个月前

It’s TestFlight Friday! After 6 months of building House Rush and playtesting in person, we’re ready to start sharing it more widely. TestFlight details and what to expect: House Rush is a real estate fantasy game with real houses. We’re building for all of you who love to browse Zillow just for fun. - Earn cash guessing the price of active listings in your city. - Use your cash to make offers on houses in the market. - Build your real estate portfolio, accept or reject offers on your houses from other players, visit vacation houses, and work up to a mega mansion. - Unlock more slots in your portfolio, rank up, and earn the top spot on the leaderboards. We’re in TestFlight for a reason. House Rush is still super early. There will be bugs, and lots of room for improvement! We’ve taken a quick first pass at onboarding for this alpha, and have many more things on our roadmap like proper balancing, sharing, social features, sound, offline mode, loading optimization, and a finalized art style. I’m immensely proud of the creativity and shipping speed of our small team, and can’t wait to hear what you think of it. Working our way through inviting folks off of our waitlist. If you’ve signed up you should get an email within the next ~ week. I've got 20 invites for twitter folks who are dying to try this out right now. If that’s you, let me know!

It’s TestFlight Friday! After 6 months of building House Rush and playtesting in person, we’re ready to start sharing it more widely. TestFlight details and what to expect: House Rush is a real estate fantasy game with real houses. We’re building for all of you who love to browse Zillow just for fun. - Earn cash guessing the price of active listings in your city. - Use your cash to make offers on houses in the market. - Build your real estate portfolio, accept or reject offers on your houses from other players, visit vacation houses, and work up to a mega mansion. - Unlock more slots in your portfolio, rank up, and earn the top spot on the leaderboards. We’re in TestFlight for a reason. House Rush is still super early. There will be bugs, and lots of room for improvement! We’ve taken a quick first pass at onboarding for this alpha, and have many more things on our roadmap like proper balancing, sharing, social features, sound, offline mode, loading optimization, and a finalized art style. I’m immensely proud of the creativity and shipping speed of our small team, and can’t wait to hear what you think of it. Working our way through inviting folks off of our waitlist. If you’ve signed up you should get an email within the next ~ week. I've got 20 invites for twitter folks who are dying to try this out right now. If that’s you, let me know!

Ankith Harathi

40,834 次观看 • 2 年前

🚀 Today our team is launching Duels ⚔️, the world's first prediction market for content, built as a mini app on Farcaster, powered by Base and Doppler. Our thesis is simple: Content Coins are misunderstood. They’re not designed to moon. They’re onchain engagement primitives, turning media into instantly liquid tokens that capture attention. So why should traders care? Because the real upside comes from the apps built around them, and the tokens that power those app ecosystems. Content Coins unlock new game mechanics, in app experiences, and interactive formats. They drive engagement, spotlight creators, and turn attention into value, all onchain, rewarding both creators and consumers. Duels is our first proof point: a content prediction market where coins battle for ETH and visibility. But it’s just the beginning. We’re building an open ecosystem of gamified apps powered by Content and Creator Coins. So, where does the value really stack? The app coins that power the experiences. More on $DUELS soon.... Until then, hit the link at Duels ⚔️, open the Farcaster mini app, pick your coins, and let the duels begin ⚔️.

🚀 Today our team is launching Duels ⚔️, the world's first prediction market for content, built as a mini app on Farcaster, powered by Base and Doppler. Our thesis is simple: Content Coins are misunderstood. They’re not designed to moon. They’re onchain engagement primitives, turning media into instantly liquid tokens that capture attention. So why should traders care? Because the real upside comes from the apps built around them, and the tokens that power those app ecosystems. Content Coins unlock new game mechanics, in app experiences, and interactive formats. They drive engagement, spotlight creators, and turn attention into value, all onchain, rewarding both creators and consumers. Duels is our first proof point: a content prediction market where coins battle for ETH and visibility. But it’s just the beginning. We’re building an open ecosystem of gamified apps powered by Content and Creator Coins. So, where does the value really stack? The app coins that power the experiences. More on $DUELS soon.... Until then, hit the link at Duels ⚔️, open the Farcaster mini app, pick your coins, and let the duels begin ⚔️.

Naz

17,463 次观看 • 1 年前