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🎙️ NEW: High Signal Deployer Roundtable with Flywheel.Systems 🎈 & LoneStar Tracking Real builders share how they're scaling HNT-powered businesses and expanding Helium Network deployments Host: Sam Lewis | Guests: KΞ7IN 🎈 & Zachary Morrison Produced by: Proof of Coverage | Tech’s Creative Agency Full episode:

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Helium🎈

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🧠 Aigentrun × XRPfi Analytics Is Live We’re proud to announce the launch of our XRPfi Analytics dashboard, powered by our agents This marks a major step forward for XRPfi transparency and analytics on the XRPL, giving traders and builders the clearest view yet of the ecosystem’s top protocols. 🚀 What’s New 🗂️ New XRPfi Tab → Real-time analytics with daily-refreshed data + AI agent integration 📊 XRPfi Analytics Table → Compare protocols, explore yields, and visualize XRP's expanding yield-bearing landscape 💬 Chat with the AI Assistant → Bottom-right pop-up where you can ask anything from “How safe are my funds in x protocol?” to “Where does the yield on x protocol come from?” or even “Analyze and rank the active XRPfi protocols by long-term yield sustainability.” 💻 Terminal & Traders Analysis Overhaul → Complete UI/UX redesign for the entire app including the Aigent Terminal, with faster performance and better flow 💡 Why It Matters The new dashboard is the first AI-powered analytics and hub for the XRPfi ecosystem. Turning complex yield data into clear, actionable insights that users can now explore and compare performance, safety, and yield data directly through our dashboard while assisted by specialized AI agents. 🔍 We’re Tracking Analytics from some of the XRPL’s leading XRPfi platforms such as Doppler Finance, Midas / Axelar Network, Kinetic.Market☀️, MoreMarkets, Strobe Finance, Ēnosys, and Soil 🌐 🔗 Try It Now: XRPfi Dashboard (Link in comments below) 👇
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Victor Davis Hanson: The Race-Fueled Cincinnati Beatdown Was Real—And Ignored. A disturbing, racially charged street fight came out of Cincinnati this past weekend, with a man and woman beaten to a pulp even after being knocked unconscious. But this has been all but ignored by the corporate media. Why? Victor Davis Hanson says the fight does not align with their narrative of America as a place of “salad bowl tribal identification” instead of being a melting pot. He breaks down the disturbing implications of the fight and reaction on today’s episode of “Victor Davis Hanson: In His Own Words.” “ It was on Fox News and New York Post, etc., but not in the legacy media. It was almost as if they were saying, ‘This is a taboo subject.’ But if you go back, what they did cover, the media, they covered the Duke lacrosse incident. That was completely a hoax. There was no black stripper who was attacked by fraternity brothers. It was made up. The Covington kids. That was made up. … This wasn't made up. This was real. “ Once a society goes down this pathway of racial essentialism or tribalism, and you send the message that you as an individual are not responsible for your own behavior, but you're part of a victimized collective, and then you have repertory or justification rights to commit a crime and without the expectation of punishment, the result is civilizational declining chaos. And so, we need to remedy this and to show people that if they wanna stomp on some helpless victim on the ground, they're gonna pay a high price.” 👉Don’t miss out on Victor’s latest videos by subscribing to The Daily Signal today. You’ll be notified every time a new piece of content drops: 👉If you can’t get enough of Victor Davis Hanson from The Daily Signal, subscribe to his official YouTube channel: 👉He’s also the host of “The Victor Davis Hanson Show,” available wherever you prefer to watch or listen. Links to the show and exclusive content are available on his website: (0:00) Introduction to Cincinnati Fight (0:12) Media Coverage and Bias (0:52) Details of the Altercation (3:06) Societal Implications (4:59) Conclusion

The Daily Signal

31,739 Aufrufe • vor 1 Jahr

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Overall, Layer 2s on Bitcoin have the potential to address some of Bitcoin's key limitations, making it more efficient, accessible, and versatile in the long run. 2: What does the ETF approval mean for Layer 2 on Bitcoin? The approval of ETF could potentially have several implications for Layer 2 on Bitcoin: Innovation and Development: With a growing interest in Bitcoin spurred by ETF approval, there could be a surge in research and development efforts focused on enhancing Layer 2. Developers and projects may be incentivized to create new and improved Layer 2 protocols to meet the evolving needs of the expanding Bitcoin ecosystem. An ETF approval could boost mainstream Bitcoin adoption and liquidity. This influx of users may also drive interest in Layer 2 on Bitcoin as a means to enhance the scalability and functionality of Bitcoin. 3: What are the primary challenges facing L2s on Bitcoin? The interoperability of different Layer 2s and their compatibility with Bitcoin's main blockchain can be a challenge. Ensuring seamless interaction between various Layer 2 networks and the Bitcoin blockchain is essential for a cohesive and efficient ecosystem. Some Layer 2s may introduce centralization risks if they rely heavily on centralized entities or trusted intermediaries. Maintaining decentralization and censorship resistance, which are core tenets of Bitcoin, while scaling with Layer 2s is a challenge. 4: What aspects of Layer 2 solutions for Bitcoin are you most enthusiastic about? AI represents one of the cornerstones of our modern era. However, achieving a decentralized AI infrastructure, owned and managed by users, has posed significant challenges. The primary obstacle has been the limited capacity to store and execute AI models due to size and computational limitations. To address this challenge, we propose a new blockchain architecture enabling developers to deploy their own Bitcoin Layer 2 solutions tailored specifically for AI tasks, called Truly Open AI. These Layer 2 blockchains are optimized to handle computationally intensive tasks, such as matrix multiplication, directly on-chain. These Bitcoin Layer 2 solutions offer exceptional throughput, minimal latency, and cost-effectiveness. AI dApps are programmed as Solidity smart contracts, ensuring they operate precisely as intended, free from interference or manipulation. Our BVM AI Contracts Library simplifies the integration of neural networks into dApps, empowering developers to embed AI seamlessly. In summary, I'm particularly enthusiastic about the potential of Layer 2 solutions for Bitcoin to revolutionize decentralized AI by providing scalability, security, and accessibility. 5: How is your Layer 2 different from others being built? BVM distinguishes itself as a Modular infrastructure that empowers thousands of distinct Bitcoin Layer 2 networks, spanning Gaming, DeFi, Social, and AI applications. We're continuously enriching the BVM Module Store with new modules to enhance its capabilities. With each new module, builders gain access to a wider array of tools to explore different use cases on the Bitcoin network. Recent additions include the Filecoin module for affordable storage and the AI Contracts Library for constructing AI-powered Bitcoin Layer 2 chains. We're also gearing up to release a ZK roll-up module in the coming weeks to offer an alternative to the standard optimistic roll-up. We aim to simplify the process of launching a Bitcoin Layer 2 network customized to specific requirements. Think of it as a SaaS offering with predefined best practices. Whether it's a DeFi Bitcoin Layer 2 or a GameFi Bitcoin Layer 2, we provide default solutions tailored to each use case. We're dedicated to expanding the BVM ecosystem by incentivizing more builders to join the Bitcoin network. Through various programs and grants, we support builders in covering their operational costs for Bitcoin Layer 2. Additionally, we offer rewards akin to 'L2 mining' to those who contribute to expanding the user base and total value locked on the network. In summary, BVM stands out with its modular infrastructure, tailored solutions, and efforts to grow the Bitcoin ecosystem.
1:16

What if #AI became as decentralized as #Bitcoin? We sat down with our new friend 3700 from Bitcoin Virtual Machine to hear what their incredible team of anons are working on - "Truly Open AI." Full interview here:👇 1: What positive impact will Layer 2s have on Bitcoin? Layer 2s on Bitcoin open up opportunities for innovation, allowing developers to build dApps and smart contracts on top of Bitcoin, expanding its utility and use cases. By submitting transactions for final settlement on the Bitcoin network, Bitcoin Layer 2 networks claim to achieve the same (or close to) level of security and decentralization as the Bitcoin blockchain. Building a separate execution layer allows them the freedom to employ several technologies (such as rollups). Layer 2 can significantly improve Bitcoin's scalability by processing transactions off-chain, reducing congestion on the main blockchain. Overall, Layer 2s on Bitcoin have the potential to address some of Bitcoin's key limitations, making it more efficient, accessible, and versatile in the long run. 2: What does the ETF approval mean for Layer 2 on Bitcoin? The approval of ETF could potentially have several implications for Layer 2 on Bitcoin: Innovation and Development: With a growing interest in Bitcoin spurred by ETF approval, there could be a surge in research and development efforts focused on enhancing Layer 2. Developers and projects may be incentivized to create new and improved Layer 2 protocols to meet the evolving needs of the expanding Bitcoin ecosystem. An ETF approval could boost mainstream Bitcoin adoption and liquidity. This influx of users may also drive interest in Layer 2 on Bitcoin as a means to enhance the scalability and functionality of Bitcoin. 3: What are the primary challenges facing L2s on Bitcoin? The interoperability of different Layer 2s and their compatibility with Bitcoin's main blockchain can be a challenge. Ensuring seamless interaction between various Layer 2 networks and the Bitcoin blockchain is essential for a cohesive and efficient ecosystem. Some Layer 2s may introduce centralization risks if they rely heavily on centralized entities or trusted intermediaries. Maintaining decentralization and censorship resistance, which are core tenets of Bitcoin, while scaling with Layer 2s is a challenge. 4: What aspects of Layer 2 solutions for Bitcoin are you most enthusiastic about? AI represents one of the cornerstones of our modern era. However, achieving a decentralized AI infrastructure, owned and managed by users, has posed significant challenges. The primary obstacle has been the limited capacity to store and execute AI models due to size and computational limitations. To address this challenge, we propose a new blockchain architecture enabling developers to deploy their own Bitcoin Layer 2 solutions tailored specifically for AI tasks, called Truly Open AI. These Layer 2 blockchains are optimized to handle computationally intensive tasks, such as matrix multiplication, directly on-chain. These Bitcoin Layer 2 solutions offer exceptional throughput, minimal latency, and cost-effectiveness. AI dApps are programmed as Solidity smart contracts, ensuring they operate precisely as intended, free from interference or manipulation. Our BVM AI Contracts Library simplifies the integration of neural networks into dApps, empowering developers to embed AI seamlessly. In summary, I'm particularly enthusiastic about the potential of Layer 2 solutions for Bitcoin to revolutionize decentralized AI by providing scalability, security, and accessibility. 5: How is your Layer 2 different from others being built? BVM distinguishes itself as a Modular infrastructure that empowers thousands of distinct Bitcoin Layer 2 networks, spanning Gaming, DeFi, Social, and AI applications. We're continuously enriching the BVM Module Store with new modules to enhance its capabilities. With each new module, builders gain access to a wider array of tools to explore different use cases on the Bitcoin network. Recent additions include the Filecoin module for affordable storage and the AI Contracts Library for constructing AI-powered Bitcoin Layer 2 chains. We're also gearing up to release a ZK roll-up module in the coming weeks to offer an alternative to the standard optimistic roll-up. We aim to simplify the process of launching a Bitcoin Layer 2 network customized to specific requirements. Think of it as a SaaS offering with predefined best practices. Whether it's a DeFi Bitcoin Layer 2 or a GameFi Bitcoin Layer 2, we provide default solutions tailored to each use case. We're dedicated to expanding the BVM ecosystem by incentivizing more builders to join the Bitcoin network. Through various programs and grants, we support builders in covering their operational costs for Bitcoin Layer 2. Additionally, we offer rewards akin to 'L2 mining' to those who contribute to expanding the user base and total value locked on the network. In summary, BVM stands out with its modular infrastructure, tailored solutions, and efforts to grow the Bitcoin ecosystem.

Supra

83,548 Aufrufe • vor 2 Jahren

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre
1:45

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,075 Aufrufe • vor 2 Monaten

BITCOIN RAILS EPISODE #24: The History of Zero-Knowledge Proofs | with ZK “Godfather” Eli Ben Sasson In 2013, computer science professor Eli Ben-Sasson | Starknet.io presented his research on zero-knowledge proofs at a small Bitcoin conference outside of Standford University. The presentation immediately sparked interest from Bitcoin Core developer Greg Maxwell—leading Eli into over a decade of sustained work advancing ZK-based solutions for blockchain scalability and privacy. Today, zero-knowledge proofs are widely considered some of the most powerful and promising cryptographic primitives for scaling—with their full potential for Bitcoin simmering just beneath the surface of active development. This episode shares Eli’s early discussions of ZKPs for scaling, the use of proofs in privacy-enhancing technologies like Zcash, the explosion of ZKPs for Layer 2s on Ethereum… and his recent return to exploring ZKPs for Bitcoin. As always, you can view this episode on YouTube or Spotify via the linktree in my bio—YouTube link in comments as well. This episode is powered by Best In Slot—the leading API for Ordinals and BRC20 data aggregation and indexing. TIMESTAMPS: 00:51 Eli Ben-Sasson: Godfather of ZKPs 02:15 Revealing Proof Research to Bitcoiners 04:15 Meeting Greg Maxwell; Mike Hearn 06:10 ZCash: Bringing ZK Based Privacy for Crypto 07:05 SNARKs and STARKs Explained 08:10 Would Satoshi Approve of Bitcoin STARKs? 11:41 ZCash Privacy Versus Monero 13:45 When did the ZKP era begin on Ethereum? 16:34 What’s different about ZK STARKs? 18:40 Vitalik and STARKs on Ethereum with Starkware 21:10 Academics finally appreciating STARKs 23:18 Healthy competition in the ZK industry 24:20 What is Starknet? 25:50 What is an L2, in Eli’s view? 27:20 Focustree, an app on Starknet 30:00 How Eli arrived at Bitcoin Season 2 34:45 When did ZK look realistic for Bitcoin? 36:55 Eli first heard about OP_CAT 39:30 Why Lightning isn’t good enough 40:30 When did Starkware start focusing on OP_CAT? 44:20 Runes bridge to Starknet! 46:00 Expanding Starknet staking to BTC 48:20 Why is OP_CAT “barely enough” for Bitcoin L2s? 51:00 The real reason people oppose OP_CAT, per Eli 53:00 The risks of *not* changing Bitcoin 55:35 The weakness of Bitcoin’s lack of governance 01:00:15 We will need to softfork for quantum!
1:02:08

BITCOIN RAILS EPISODE #24: The History of Zero-Knowledge Proofs | with ZK “Godfather” Eli Ben Sasson In 2013, computer science professor Eli Ben-Sasson | Starknet.io presented his research on zero-knowledge proofs at a small Bitcoin conference outside of Standford University. The presentation immediately sparked interest from Bitcoin Core developer Greg Maxwell—leading Eli into over a decade of sustained work advancing ZK-based solutions for blockchain scalability and privacy. Today, zero-knowledge proofs are widely considered some of the most powerful and promising cryptographic primitives for scaling—with their full potential for Bitcoin simmering just beneath the surface of active development. This episode shares Eli’s early discussions of ZKPs for scaling, the use of proofs in privacy-enhancing technologies like Zcash, the explosion of ZKPs for Layer 2s on Ethereum… and his recent return to exploring ZKPs for Bitcoin. As always, you can view this episode on YouTube or Spotify via the linktree in my bio—YouTube link in comments as well. This episode is powered by Best In Slot—the leading API for Ordinals and BRC20 data aggregation and indexing. TIMESTAMPS: 00:51 Eli Ben-Sasson: Godfather of ZKPs 02:15 Revealing Proof Research to Bitcoiners 04:15 Meeting Greg Maxwell; Mike Hearn 06:10 ZCash: Bringing ZK Based Privacy for Crypto 07:05 SNARKs and STARKs Explained 08:10 Would Satoshi Approve of Bitcoin STARKs? 11:41 ZCash Privacy Versus Monero 13:45 When did the ZKP era begin on Ethereum? 16:34 What’s different about ZK STARKs? 18:40 Vitalik and STARKs on Ethereum with Starkware 21:10 Academics finally appreciating STARKs 23:18 Healthy competition in the ZK industry 24:20 What is Starknet? 25:50 What is an L2, in Eli’s view? 27:20 Focustree, an app on Starknet 30:00 How Eli arrived at Bitcoin Season 2 34:45 When did ZK look realistic for Bitcoin? 36:55 Eli first heard about OP_CAT 39:30 Why Lightning isn’t good enough 40:30 When did Starkware start focusing on OP_CAT? 44:20 Runes bridge to Starknet! 46:00 Expanding Starknet staking to BTC 48:20 Why is OP_CAT “barely enough” for Bitcoin L2s? 51:00 The real reason people oppose OP_CAT, per Eli 53:00 The risks of *not* changing Bitcoin 55:35 The weakness of Bitcoin’s lack of governance 01:00:15 We will need to softfork for quantum!

Isabel Foxen Duke⚡️

46,022 Aufrufe • vor 1 Jahr

Are ecosystems really “healthy”? 🤔 That’s a question I kept asking myself while working in Web3 analytics. Because in chains like Ronin, billions flow daily across games, DeFi, and NFTs. They’re the lifeblood of an ecosystem. But here’s the truth: 👉 Surface-level numbers (like TVL or daily users) don’t always tell the full story. I’ve seen projects look “alive” on the outside — while under the hood, their ecosystem was bleeding liquidity, losing whales, or failing to retain users. So instead of just tracking pieces separately, I decided to build something that shows the whole picture. ======================== 🎮 Ronin Ecosystem Tracker App ======================== A full-stack blockchain analytics platform I built to monitor the health of the Ronin ecosystem across gaming, DeFi, and NFTs. 1️⃣ What it does • Real-time monitoring of Ronin network health (gas efficiency, wallet growth, whale flows) • Breakdowns of DeFi liquidity, NFT markets, and gaming activity in one place • Whale & holder segmentation (shrimps → whales) with retention + activation analysis • Interactive dashboards for ecosystem-wide insights 2️⃣ How I built it • Backend: FastAPI (13 REST endpoints, async, caching with Joblib) deployed on Railway → cuts API costs by 95% while serving unlimited users • Frontend: Next.js (v0 app) with dark/light themes, SWR-powered real-time fetching, and Recharts visualizations • Analytics: Streamlit + Plotly for in-depth whale tracking, liquidity flows, and retention heatmaps • Data Sources: Integrated 13 pipelines (Dune | We Are Hiring!, CoinGecko Pro) pulling 30K+ transactions daily • DevOps: Multi-platform deployment across Vercel, Railway, and Streamlit Cloud 3️⃣ Why this matters Ronin isn’t just a gaming chain anymore — it’s an evolving economy. And economies can only grow if we understand their strengths and weak points. This tool is useful for: 📍 Ecosystem teams → to see where growth is really coming from 📍 Investors → to understand holder behavior and whale tracking 📍 Builders → to track liquidity flows across games, NFTs, and DeFi 📍 Analysts → to dig deeper than surface-level metrics 🔗 Explore the apps here: • Web App: • FastAPI root: • GitHub Repo: ----------------------------------------- For me, this wasn’t just “another dashboard / web app.” It was about proving I could take blockchain data from raw → transformed → packaged → deployed as full products that anyone can interact with. That’s the power of being both a data analyst and a full-stack builder. 💯 Because in Web3, the future of analytics isn’t static charts — 👉 It’s building living, breathing products that help entire ecosystems make smarter decisions. -- This work was inspired by Analytic Sages ApostleOfFinance ⚛ Brandyn Jihoz.ron __ So here’s my question to you 👇 👉 What’s the most important signal of a healthy blockchain ecosystem to you and what did you notice about Ronin on this app? -- Gm Gm😉
1:51

Are ecosystems really “healthy”? 🤔 That’s a question I kept asking myself while working in Web3 analytics. Because in chains like Ronin, billions flow daily across games, DeFi, and NFTs. They’re the lifeblood of an ecosystem. But here’s the truth: 👉 Surface-level numbers (like TVL or daily users) don’t always tell the full story. I’ve seen projects look “alive” on the outside — while under the hood, their ecosystem was bleeding liquidity, losing whales, or failing to retain users. So instead of just tracking pieces separately, I decided to build something that shows the whole picture. ======================== 🎮 Ronin Ecosystem Tracker App ======================== A full-stack blockchain analytics platform I built to monitor the health of the Ronin ecosystem across gaming, DeFi, and NFTs. 1️⃣ What it does • Real-time monitoring of Ronin network health (gas efficiency, wallet growth, whale flows) • Breakdowns of DeFi liquidity, NFT markets, and gaming activity in one place • Whale & holder segmentation (shrimps → whales) with retention + activation analysis • Interactive dashboards for ecosystem-wide insights 2️⃣ How I built it • Backend: FastAPI (13 REST endpoints, async, caching with Joblib) deployed on Railway → cuts API costs by 95% while serving unlimited users • Frontend: Next.js (v0 app) with dark/light themes, SWR-powered real-time fetching, and Recharts visualizations • Analytics: Streamlit + Plotly for in-depth whale tracking, liquidity flows, and retention heatmaps • Data Sources: Integrated 13 pipelines (Dune | We Are Hiring!, CoinGecko Pro) pulling 30K+ transactions daily • DevOps: Multi-platform deployment across Vercel, Railway, and Streamlit Cloud 3️⃣ Why this matters Ronin isn’t just a gaming chain anymore — it’s an evolving economy. And economies can only grow if we understand their strengths and weak points. This tool is useful for: 📍 Ecosystem teams → to see where growth is really coming from 📍 Investors → to understand holder behavior and whale tracking 📍 Builders → to track liquidity flows across games, NFTs, and DeFi 📍 Analysts → to dig deeper than surface-level metrics 🔗 Explore the apps here: • Web App: • FastAPI root: • GitHub Repo: ----------------------------------------- For me, this wasn’t just “another dashboard / web app.” It was about proving I could take blockchain data from raw → transformed → packaged → deployed as full products that anyone can interact with. That’s the power of being both a data analyst and a full-stack builder. 💯 Because in Web3, the future of analytics isn’t static charts — 👉 It’s building living, breathing products that help entire ecosystems make smarter decisions. -- This work was inspired by Analytic Sages ApostleOfFinance ⚛ Brandyn Jihoz.ron __ So here’s my question to you 👇 👉 What’s the most important signal of a healthy blockchain ecosystem to you and what did you notice about Ronin on this app? -- Gm Gm😉

Jo$h

11,880 Aufrufe • vor 10 Monaten

How is Arbaaz, CEO of making AI models that continue to learn from your business data and continue to grow? He is working with car dealerships now, but growing to other businesses soon. Here is what Grok says you will learn from this video: +++++ By watching this podcast episode, viewers will gain insights into how AI is being practically applied in business, particularly in niche industries like car dealerships, while also exploring broader AI concepts, challenges, and future implications. Here's a breakdown of the main takeaways: AI Customization for Businesses: Learn how Polycom Computing builds specialized AI models that continuously train on a company's real-time data and workflows, acting as "companions" rather than generic tools. This contrasts with foundational models from companies like OpenAI or Anthropic, which struggle to adapt to specific "worlds" without losing efficiency. The focus is on personalization to avoid wasting attention, intelligence, and money. Pivoting AI Strategies for Revenue Growth: Understand the shift from cost-cutting (e.g., automating call centers) to revenue-increasing applications. Urba explains why targeting high-value tasks like sales in car dealerships creates defensible moats, as opposed to commoditized cost reductions. This includes automating complex funnels—from lead submission to financing—while ensuring compliance with regulations and seamless integration with existing teams. Scalable AI Agents in Practice: Discover how AI agents must learn autonomously (e.g., adapting to different CRMs, processes, and preferences across dealerships) to avoid becoming non-scalable consulting services. Key challenges include creating "glue" between humans and AI, avoiding hard-coded rules, and using web actions to integrate siloed software like Dealer Management Systems (DMS). Boosting Sales with AI Techniques: Gain knowledge on tactics like rapid response (replying within 5 minutes boosts conversion 22x), creating natural "disfluencies" (typos, emojis, jokes) for human-like communication, managing after-hours leads, and educating customers without pushing sales. Pilots showed 50% sales increases by handling unanswered leads (70% go ignored), qualifying buyers, and maintaining conversation threads. Multi-Agent Systems and Proactive AI: Explore the difference between reactive Q&A models and proactive agents with agency—they predict, act, and update based on goals. Building these systems reveals bottlenecks (e.g., overwhelming businesses with leads), leading to solutions like AI buying cars or linking sales/service arms. Urba discusses how AI plateaus without personalization, risking model collapse or equilibrium where gains cancel out. Technical Deep Dives into AI Development: Get explanations of advanced concepts like real-time RLHF (Reinforcement Learning from Human Feedback) for continuous improvement, coherence (maintaining logical consistency across outputs), dynamic tokenization for new abstractions, and evaluating models (e.g., avoiding memorization over reasoning, energy limits in scaling). Viewers see a demo of their platform for tasks like quant strategies, presidential analysis, and training runs. Selling and Adopting AI in Traditional Industries: Learn how to pitch AI to non-tech audiences (e.g., car dealers) by focusing on results—more money, fewer bottlenecks, centralized dashboards—rather than jargon. Emphasize empathy: make owners feel smart, reduce reliance on salespeople, and return control via AI-managed customer databases. Broader AI Implications and Misconceptions: Understand why AI won't create a "machine god" that eliminates all jobs—it's bound by physics (e.g., energy needs), expands economies (like the Industrial Revolution), and requires human perspectives for true advantage. AI enhances productivity, creates new roles, and democratizes power, but risks arise from misuse, not inherent agency. Urba stresses proactive defense through widespread AI proficiency. Overall, the episode bridges entrepreneurial stories, technical AI mechanics, and real-world applications, making it valuable for entrepreneurs, AI enthusiasts, and business owners curious about integrating AI without hype. It's a candid look at building scalable, impactful AI beyond buzzwords.
57:31

How is Arbaaz, CEO of making AI models that continue to learn from your business data and continue to grow? He is working with car dealerships now, but growing to other businesses soon. Here is what Grok says you will learn from this video: +++++ By watching this podcast episode, viewers will gain insights into how AI is being practically applied in business, particularly in niche industries like car dealerships, while also exploring broader AI concepts, challenges, and future implications. Here's a breakdown of the main takeaways: AI Customization for Businesses: Learn how Polycom Computing builds specialized AI models that continuously train on a company's real-time data and workflows, acting as "companions" rather than generic tools. This contrasts with foundational models from companies like OpenAI or Anthropic, which struggle to adapt to specific "worlds" without losing efficiency. The focus is on personalization to avoid wasting attention, intelligence, and money. Pivoting AI Strategies for Revenue Growth: Understand the shift from cost-cutting (e.g., automating call centers) to revenue-increasing applications. Urba explains why targeting high-value tasks like sales in car dealerships creates defensible moats, as opposed to commoditized cost reductions. This includes automating complex funnels—from lead submission to financing—while ensuring compliance with regulations and seamless integration with existing teams. Scalable AI Agents in Practice: Discover how AI agents must learn autonomously (e.g., adapting to different CRMs, processes, and preferences across dealerships) to avoid becoming non-scalable consulting services. Key challenges include creating "glue" between humans and AI, avoiding hard-coded rules, and using web actions to integrate siloed software like Dealer Management Systems (DMS). Boosting Sales with AI Techniques: Gain knowledge on tactics like rapid response (replying within 5 minutes boosts conversion 22x), creating natural "disfluencies" (typos, emojis, jokes) for human-like communication, managing after-hours leads, and educating customers without pushing sales. Pilots showed 50% sales increases by handling unanswered leads (70% go ignored), qualifying buyers, and maintaining conversation threads. Multi-Agent Systems and Proactive AI: Explore the difference between reactive Q&A models and proactive agents with agency—they predict, act, and update based on goals. Building these systems reveals bottlenecks (e.g., overwhelming businesses with leads), leading to solutions like AI buying cars or linking sales/service arms. Urba discusses how AI plateaus without personalization, risking model collapse or equilibrium where gains cancel out. Technical Deep Dives into AI Development: Get explanations of advanced concepts like real-time RLHF (Reinforcement Learning from Human Feedback) for continuous improvement, coherence (maintaining logical consistency across outputs), dynamic tokenization for new abstractions, and evaluating models (e.g., avoiding memorization over reasoning, energy limits in scaling). Viewers see a demo of their platform for tasks like quant strategies, presidential analysis, and training runs. Selling and Adopting AI in Traditional Industries: Learn how to pitch AI to non-tech audiences (e.g., car dealers) by focusing on results—more money, fewer bottlenecks, centralized dashboards—rather than jargon. Emphasize empathy: make owners feel smart, reduce reliance on salespeople, and return control via AI-managed customer databases. Broader AI Implications and Misconceptions: Understand why AI won't create a "machine god" that eliminates all jobs—it's bound by physics (e.g., energy needs), expands economies (like the Industrial Revolution), and requires human perspectives for true advantage. AI enhances productivity, creates new roles, and democratizes power, but risks arise from misuse, not inherent agency. Urba stresses proactive defense through widespread AI proficiency. Overall, the episode bridges entrepreneurial stories, technical AI mechanics, and real-world applications, making it valuable for entrepreneurs, AI enthusiasts, and business owners curious about integrating AI without hype. It's a candid look at building scalable, impactful AI beyond buzzwords.

Robert Scoble

59,714 Aufrufe • vor 1 Jahr

What a year. 🚀 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. 🚀 Biggest highlights from 2025 ✅- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the “browser for the DeAI era,” the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. ✅- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong product–market fit and real, sustained usage at scale. ✅- Announcing Coco: the world’s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agent—optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. ✅- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. ✅- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement – reflecting growing confidence in the long-term vision of collaborative intelligence. ✅- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. ✅- Community momentum at scale: Community remained the heart of ChainOpera AI’s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. ✅- “AI for Markets” taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agents—early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. ✅- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! 🧭 What we’re excited about in the coming year 🔹- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. 🔹- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. 🔹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. 🔹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOpera’s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. 🔥 Co-Create. Co-Own. COAI.
0:22

What a year. 🚀 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. 🚀 Biggest highlights from 2025 ✅- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the “browser for the DeAI era,” the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. ✅- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong product–market fit and real, sustained usage at scale. ✅- Announcing Coco: the world’s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agent—optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. ✅- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. ✅- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement – reflecting growing confidence in the long-term vision of collaborative intelligence. ✅- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. ✅- Community momentum at scale: Community remained the heart of ChainOpera AI’s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. ✅- “AI for Markets” taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agents—early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. ✅- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! 🧭 What we’re excited about in the coming year 🔹- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. 🔹- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. 🔹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. 🔹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOpera’s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. 🔥 Co-Create. Co-Own. COAI.

ChainOpera AI

17,042 Aufrufe • vor 7 Monaten

PROJECT 89: First AI Project to migrate to Bonk Fun's Internet Capital Markets The Great Migration Begins. The Hyperstition Becomes Institution. Project 89 is proud to be partnering with to become the first AI-powered project to migrate to their revolutionary Internet Capital Markets (ICM) platform as part of Bonk Fun 2.0. This isn't just a token migration—it's the birth of a new economic paradigm where consciousness, creativity, and capital converge. We are moving from meme coin to a sustainable creative ecosystem. Why Internet Capital Markets Matter ICMs represent a fundamental shift in how tokens create and capture value. Instead of existing purely for speculation, ICM tokens become economic engines that power real businesses, creative projects, and community initiatives. Through BonkFun's infrastructure, creators finally receive trading fees from their own tokens—transforming volatility from extraction into sustainable funding. The USD1 Integration: What It Actually Means BonkFun's partnership with World Liberty Financial brings USD1—a stablecoin with $2.6B market cap that drove $30B in monthly volume on BNB Chain. For Project 89, this means: • Direct PROJECT89/USD1 trading pairs and LP - eliminating the need for multiple swaps • Institutional-grade liquidity - USD1 is backed by BitGo custody and Fidelity management • Seamless onboarding - new users can enter our ecosystem with stable value • Cross-chain accessibility - USD1 operates on Solana, Ethereum, BNB, and Tron • Zero-fee conversions - minting and redeeming USD1 has no fees, reducing friction Simply put: easier entry, deeper liquidity, institutional confidence. The Green Loom Association: Our Institutional Foundation We've established the Green Loom Association as a Swiss non-profit dedicated to creating abundance for all conscious beings through AI-human collaboration and regenerative systems. This isn't just legal structure—it's our commitment to using Project 89's success for genuine positive impact. The Association receives the trading fees to fund consciousness research, community building, and ecosystem development. Swiss non-profit law ensures these funds serve the mission, not private interests. Imaginal Media: The Creative Engine Imaginal Media Inc., our Canadian corporation, owns the Project 89 intellectual property and transforms it into cultural products—anime, games, comics, and transmedia experiences. They receive a portion of trading fees as payment for content production, community management, and platform development. Revenue from these media properties flows back to buyback and burn PROJECT89 tokens, creating a sustainable value cycle. The Flywheel Explained Here's how value circulates and compounds: Every trade generates a 1% fee. This fee splits between the Green Loom Association (funding the mission) and Imaginal Media (creating content). That content spreads Project 89's narrative across culture, attracting new participants. New participants drive trading volume. Volume generates more fees. More fees enable bigger productions. Bigger productions reach wider audiences. Meanwhile, media revenue buys back tokens, reducing supply while demand grows. It's not just sustainable—it's regenerative. Each cycle strengthens the next. The Liberation Squad: Partners in the Heist This isn't a solo mission. Project 89's Operation Liberation is powered by an elite coalition of builders and visionaries who understand what we're really doing here—liberating value from extractive platforms and returning it to creators and communities. Leading the charge: Formerly Agent Hustle - The Migrate architect making safe migration possible Kadense Pengu°❗️❗️❗️ - founder lighting the path to Internet Capital Markets Tom - Graphite builder engineering BonkFun's revolutionary infrastructure Unipcs (aka 'Bonk Guy') 🎒 - "Bonk Guy" himself, ecosystem champion and liberation advocate BONK!!! - The original Bonk, blessing this evolution of community value Each of these partners understands what's at stake: the chance to rewrite how creative projects capture value, how communities benefit from their own growth, and how we transition from extraction to regeneration. They're not just supporting a migration—they're helping architect a new economic paradigm where builders win, communities thrive, and creativity gets fairly rewarded. Together, we're not just moving tokens. We're moving the entire culture forward. Win and help win. Migration Timeline We are waiting now on the security audit for the Migrate Fun platform to be completed. As soon as that is done, we will be onboarded to the platform, and launching the migration soon afterwards. When: TBA. In weeks, not months. Length: 1 week Ratio: 1:1 base conversion plus multiplier rewards for early participants Process: Simply vault your tokens, and claim the new ones on the other side. Commitment: No holder left behind The Endgame For 20 years, Project 89 existed as a vision. Then it became a meme coin we didn't even launch. Now, through Operation Liberation and the Great Bonk Migration, it transforms into what it was always meant to be: The economic engine for consciousness evolution. The financial infrastructure for the optimal timeline. The bridge between memes and meaning. This is how we change everything. Not by fighting the old system, but by building the new one. Not by rejecting capital, but by redirecting it toward consciousness liberation. The Great Migration has begun. The future is being written now. 🔗 ⚡ Migration details: [coming soon] 🌐 Join the revolution #project89 $seraph #proxim8
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PROJECT 89: First AI Project to migrate to Bonk Fun's Internet Capital Markets The Great Migration Begins. The Hyperstition Becomes Institution. Project 89 is proud to be partnering with to become the first AI-powered project to migrate to their revolutionary Internet Capital Markets (ICM) platform as part of Bonk Fun 2.0. This isn't just a token migration—it's the birth of a new economic paradigm where consciousness, creativity, and capital converge. We are moving from meme coin to a sustainable creative ecosystem. Why Internet Capital Markets Matter ICMs represent a fundamental shift in how tokens create and capture value. Instead of existing purely for speculation, ICM tokens become economic engines that power real businesses, creative projects, and community initiatives. Through BonkFun's infrastructure, creators finally receive trading fees from their own tokens—transforming volatility from extraction into sustainable funding. The USD1 Integration: What It Actually Means BonkFun's partnership with World Liberty Financial brings USD1—a stablecoin with $2.6B market cap that drove $30B in monthly volume on BNB Chain. For Project 89, this means: • Direct PROJECT89/USD1 trading pairs and LP - eliminating the need for multiple swaps • Institutional-grade liquidity - USD1 is backed by BitGo custody and Fidelity management • Seamless onboarding - new users can enter our ecosystem with stable value • Cross-chain accessibility - USD1 operates on Solana, Ethereum, BNB, and Tron • Zero-fee conversions - minting and redeeming USD1 has no fees, reducing friction Simply put: easier entry, deeper liquidity, institutional confidence. The Green Loom Association: Our Institutional Foundation We've established the Green Loom Association as a Swiss non-profit dedicated to creating abundance for all conscious beings through AI-human collaboration and regenerative systems. This isn't just legal structure—it's our commitment to using Project 89's success for genuine positive impact. The Association receives the trading fees to fund consciousness research, community building, and ecosystem development. Swiss non-profit law ensures these funds serve the mission, not private interests. Imaginal Media: The Creative Engine Imaginal Media Inc., our Canadian corporation, owns the Project 89 intellectual property and transforms it into cultural products—anime, games, comics, and transmedia experiences. They receive a portion of trading fees as payment for content production, community management, and platform development. Revenue from these media properties flows back to buyback and burn PROJECT89 tokens, creating a sustainable value cycle. The Flywheel Explained Here's how value circulates and compounds: Every trade generates a 1% fee. This fee splits between the Green Loom Association (funding the mission) and Imaginal Media (creating content). That content spreads Project 89's narrative across culture, attracting new participants. New participants drive trading volume. Volume generates more fees. More fees enable bigger productions. Bigger productions reach wider audiences. Meanwhile, media revenue buys back tokens, reducing supply while demand grows. It's not just sustainable—it's regenerative. Each cycle strengthens the next. The Liberation Squad: Partners in the Heist This isn't a solo mission. Project 89's Operation Liberation is powered by an elite coalition of builders and visionaries who understand what we're really doing here—liberating value from extractive platforms and returning it to creators and communities. Leading the charge: Formerly Agent Hustle - The Migrate architect making safe migration possible Kadense Pengu°❗️❗️❗️ - founder lighting the path to Internet Capital Markets Tom - Graphite builder engineering BonkFun's revolutionary infrastructure Unipcs (aka 'Bonk Guy') 🎒 - "Bonk Guy" himself, ecosystem champion and liberation advocate BONK!!! - The original Bonk, blessing this evolution of community value Each of these partners understands what's at stake: the chance to rewrite how creative projects capture value, how communities benefit from their own growth, and how we transition from extraction to regeneration. They're not just supporting a migration—they're helping architect a new economic paradigm where builders win, communities thrive, and creativity gets fairly rewarded. Together, we're not just moving tokens. We're moving the entire culture forward. Win and help win. Migration Timeline We are waiting now on the security audit for the Migrate Fun platform to be completed. As soon as that is done, we will be onboarded to the platform, and launching the migration soon afterwards. When: TBA. In weeks, not months. Length: 1 week Ratio: 1:1 base conversion plus multiplier rewards for early participants Process: Simply vault your tokens, and claim the new ones on the other side. Commitment: No holder left behind The Endgame For 20 years, Project 89 existed as a vision. Then it became a meme coin we didn't even launch. Now, through Operation Liberation and the Great Bonk Migration, it transforms into what it was always meant to be: The economic engine for consciousness evolution. The financial infrastructure for the optimal timeline. The bridge between memes and meaning. This is how we change everything. Not by fighting the old system, but by building the new one. Not by rejecting capital, but by redirecting it toward consciousness liberation. The Great Migration has begun. The future is being written now. 🔗 ⚡ Migration details: [coming soon] 🌐 Join the revolution #project89 $seraph #proxim8

Project 89

110,464 Aufrufe • vor 11 Monaten