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followers
29.3K
impressions
2.47M
likes
32.4K
comments
2.10K
posts
1.53K
engagement
1.40%
emv
$60.2K
Average per post
1.61K

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Top Content

@vxunderground
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4.66K
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4mo ago
dankvr
@vxunderground

Long-range, encrypted, self-healing mesh networks built on open source software. Become ungovernable.

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2mo ago
dankvr
Long-range, encrypted, self-healing mesh networks built on open source software. Become ungovernable.

@_claypot If the headset can track the persons head can have the parallax 3d effect too t.co/1NwV7YzUvC

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115
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4mo ago
dankvr
@_claypot If the headset can track the persons head can have the parallax 3d effect too https://t.co/1NwV7YzUvC
@CryptoCyberia One of the most secured buildings possibly in the entire world. It’s THE Pentagon. And all we got is a few frames from a security gate 🤨
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2mo ago
dankvr
@CryptoCyberia One of the most secured buildings possibly in the entire world. It’s THE Pentagon. And all we got is a few frames from a security gate 🤨

@chesterzelaya You’ll love this talk t.co/sP14LH3CK0

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4mo ago
dankvr
@chesterzelaya You’ll love this talk https://t.co/sP14LH3CK0

@austingriffith we don't use local ai as our main coding workhorse, they're moreso for workflows or ci/cd. Similar to how when claude code wants to explore your code base or summarize a web page it spawns subagents running haiku

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349
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2mo ago
dankvr
@austingriffith we don't use local ai as our main coding workhorse, they're moreso for workflows or ci/cd. Similar to how when claude code wants to explore your code base or summarize a web page it spawns subagents running haiku

@8BitBeeno Ppl were saying the same thing about this cartoon not too long ago t.co/PYh4UuopR4

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1.17K
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1w ago
dankvr
@8BitBeeno Ppl were saying the same thing about this cartoon not too long ago https://t.co/PYh4UuopR4
THE COUNCIL Consensus Oracle Units Network... nvm idk What: - AI agents trained on org data (Github, Discord, X, etc) - Unique archetypes: users, builders, traders, etc - Structured, context-aware feedback regarding proposals, daily progress, user questions, and more - Like infinite backrooms x jedi council x tv show Decision Cinema. AI Roundtable. Vibe Check Machine. Why: - For when things get noisy or opinions diverge - Get proposal feedback before committing resources - See different perspectives quickly across devs, users, operators, speculators - Cuz Fun: governance forum threads are boring, our DAO launched on @daosdotfun Collective Intelligence. Attentionomics. Less Friction. Current status: - Open source data pipelines built: - https://t.co/uWpx69868T - https://t.co/9C75pKihTk - https://t.co/h4j2fVQVS1 - Avatars made: https://t.co/nRAFG9MkAf - 3D rendering pipeline via Playcanvas (like Clank Tank) can generate episodes in ~20 seconds straight to web Plan is to make a weekly show. First with elizaOS / ai16z, next Optimism. The Council is chain agnostic. Next: - Finish website - Integrate token gated voting ($ai16z) - Integrate @elizaOS for real-time deliberations maybe the COUNCIL can help me finish the acronym
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12mo ago
dankvr
THE COUNCIL Consensus Oracle Units Network... nvm idk What: - AI agents trained on org data (Github, Discord, X, etc) - Unique archetypes: users, builders, traders, etc - Structured, context-aware feedback regarding proposals, daily progress, user questions, and more - Like infinite backrooms x jedi council x tv show Decision Cinema. AI Roundtable. Vibe Check Machine. Why: - For when things get noisy or opinions diverge - Get proposal feedback before committing resources - See different perspectives quickly across devs, users, operators, speculators - Cuz Fun: governance forum threads are boring, our DAO launched on @daosdotfun Collective Intelligence. Attentionomics. Less Friction. Current status: - Open source data pipelines built: - https://t.co/uWpx69868T - https://t.co/9C75pKihTk - https://t.co/h4j2fVQVS1 - Avatars made: https://t.co/nRAFG9MkAf - 3D rendering pipeline via Playcanvas (like Clank Tank) can generate episodes in ~20 seconds straight to web Plan is to make a weekly show. First with elizaOS / ai16z, next Optimism. The Council is chain agnostic. Next: - Finish website - Integrate token gated voting ($ai16z) - Integrate @elizaOS for real-time deliberations maybe the COUNCIL can help me finish the acronym
@SomaKazima2 i love these
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2mo ago
dankvr
@SomaKazima2 i love these
@Ramanyouth1995
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2mo ago
dankvr
@Ramanyouth1995

@Pies_of_Lee Almost got me too

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5mo ago
dankvr
@Pies_of_Lee Almost got me too
@nickshirleyy Sue them all via the False Claims Act
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4mo ago
dankvr
@nickshirleyy Sue them all via the False Claims Act
@jackiesturka Expedition 33 winning 9 of the game awards
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4mo ago
dankvr
@jackiesturka Expedition 33 winning 9 of the game awards

Buy a 3D printer. Build an AI home lab. Do it while the digital frontier is still open.

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2mo ago
dankvr
Buy a 3D printer. Build an AI home lab. Do it while the digital frontier is still open.

More ppl should play with mesh networks. Connectivity is as fundamental as power. Not everything has to go through an ISP or telecom. Plus the the hardware and standards are quietly getting really good

30.3K
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2mo ago
dankvr
More ppl should play with mesh networks. Connectivity is as fundamental as power. Not everything has to go through an ISP or telecom. Plus the the hardware and standards are quietly getting really good
elizaOS v2 news announced today, reposting here: v2: Faster, Smarter, Safer Agents Live demo: Wed 9 July 2025 · 18:00 UTC (2pm EST) V2 is here: agents that plan, coordinate, and ship work across blockchains and SaaS tools—without human babysitting. Powered by a new GUI, CLI, and plugin registry, V2 cuts setup time from hours to minutes and slashes latency by 40%. Since inception, we've worked toward agents that learn, cooperate, and transact on open source foundations. Our ecosystem now includes dozens of AI × Crypto teams, hundreds of core contributors, and thousands of agent experimenters. While v1 was our prototype breakthrough, v2 represents a true agentic system. Agents now plan, coordinate, and execute across platforms, chains, and environments. We've significantly upgraded stability, composability, and runtime flexibility, plus added a new GUI, CLI, and Plugin Registry. Take a further dive in. 🤝 Composable Multi-channel Swarms (The-org) Multi-agent orchestration that transforms complex tasks into instant solutions through coordinated agent super-teams. Tasks that once required multiple applications, tabs, and human teams can now complete themselves autonomously, with elizaOS able to operate natively across different platforms. 🧠 Dynamic Character Evolution A powerful memory system enables agents to grow with you over time. With long-term state and preference recall, each interaction becomes sharper and more personalized. Builders benefit from reduced prompt engineering and persistent state management, while end users enjoy agents that remember preferences, provide proactive planning, and deliver smart reminders automatically. 🔒 Enhanced Trusted Execution Environment (TEE) Enhanced security and privacy through V2’s native Trusted Execution Environment (TEE), ensuring trust is built-in rather than bolted on. This auditable, compliant workflow delivers concrete benefits for all stakeholders. ⚙️ Improved Developer Experience and CLI Streamlined DX with new CLI and service layer that helps you build fast and ship faster. Our enhanced developer toolkit features one-command setup, TypeScript support with improved type safety, and an opt-in plugin registry that significantly reduces time-to-value. 📚 RAG Framework Our integrated Retrieval-Augmented Generation (RAG) framework delivers powerful content processing with automatic source attribution. Users experience faster, more accurate responses with proper citations, significantly reducing hallucinations while increasing confidence in the information provided. Developers benefit from a ready-to-use retrieval system with production-grade reliability, eliminating the need to build complex information retrieval systems from scratch. 🔌 Enhanced Plugin Ecosystem Additionally, the plugin ecosystem has been redesigned for better performance and easier integration. Support is available for our developer community looking to migrate. 34 plugins have been migrated so far with more underway. Summary With an established ecosystem alongside our framework's capabilities, we're uniquely positioned to enable revolutionary agent-first apps in the AI × Crypto space. Despite our mission of AGI, creativity and human ingenuity remain our edge. We are committed to being the place where visionary builders imagine, prototype, and scale the agent-first products of the future. Join the live walk-through tomorrow (Wed 6 pm UTC) Come and learn more about V2 w/ Shaw and the engineering team: https://t.co/pxXPXuS4m6
28.1K
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10mo ago
dankvr
elizaOS v2 news announced today, reposting here: v2: Faster, Smarter, Safer Agents Live demo: Wed 9 July 2025 · 18:00 UTC (2pm EST) V2 is here: agents that plan, coordinate, and ship work across blockchains and SaaS tools—without human babysitting. Powered by a new GUI, CLI, and plugin registry, V2 cuts setup time from hours to minutes and slashes latency by 40%. Since inception, we've worked toward agents that learn, cooperate, and transact on open source foundations. Our ecosystem now includes dozens of AI × Crypto teams, hundreds of core contributors, and thousands of agent experimenters. While v1 was our prototype breakthrough, v2 represents a true agentic system. Agents now plan, coordinate, and execute across platforms, chains, and environments. We've significantly upgraded stability, composability, and runtime flexibility, plus added a new GUI, CLI, and Plugin Registry. Take a further dive in. 🤝 Composable Multi-channel Swarms (The-org) Multi-agent orchestration that transforms complex tasks into instant solutions through coordinated agent super-teams. Tasks that once required multiple applications, tabs, and human teams can now complete themselves autonomously, with elizaOS able to operate natively across different platforms. 🧠 Dynamic Character Evolution A powerful memory system enables agents to grow with you over time. With long-term state and preference recall, each interaction becomes sharper and more personalized. Builders benefit from reduced prompt engineering and persistent state management, while end users enjoy agents that remember preferences, provide proactive planning, and deliver smart reminders automatically. 🔒 Enhanced Trusted Execution Environment (TEE) Enhanced security and privacy through V2’s native Trusted Execution Environment (TEE), ensuring trust is built-in rather than bolted on. This auditable, compliant workflow delivers concrete benefits for all stakeholders. ⚙️ Improved Developer Experience and CLI Streamlined DX with new CLI and service layer that helps you build fast and ship faster. Our enhanced developer toolkit features one-command setup, TypeScript support with improved type safety, and an opt-in plugin registry that significantly reduces time-to-value. 📚 RAG Framework Our integrated Retrieval-Augmented Generation (RAG) framework delivers powerful content processing with automatic source attribution. Users experience faster, more accurate responses with proper citations, significantly reducing hallucinations while increasing confidence in the information provided. Developers benefit from a ready-to-use retrieval system with production-grade reliability, eliminating the need to build complex information retrieval systems from scratch. 🔌 Enhanced Plugin Ecosystem Additionally, the plugin ecosystem has been redesigned for better performance and easier integration. Support is available for our developer community looking to migrate. 34 plugins have been migrated so far with more underway. Summary With an established ecosystem alongside our framework's capabilities, we're uniquely positioned to enable revolutionary agent-first apps in the AI × Crypto space. Despite our mission of AGI, creativity and human ingenuity remain our edge. We are committed to being the place where visionary builders imagine, prototype, and scale the agent-first products of the future. Join the live walk-through tomorrow (Wed 6 pm UTC) Come and learn more about V2 w/ Shaw and the engineering team: https://t.co/pxXPXuS4m6

I think @elizaos / ai16z holders are on the cusp of experiencing the most innovative governance system that any DAO / open source project has ever seen Few remaining parts left to connect together then it’s game on

25.7K
202
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11mo ago
dankvr
I think @elizaos / ai16z holders are on the cusp of experiencing the most innovative governance system that any DAO / open source project has ever seen Few remaining parts left to connect together then it’s game on

Super impressed by Hermes + qwen3.5 for local AI assistant. It performs way better than openclaw I feel no need to run a cloud model on main. If I need it, can have hermes call codex or Claude code. Good harness by @NousResearch

25.6K
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2mo ago
dankvr
Super impressed by Hermes + qwen3.5 for local AI assistant. It performs way better than openclaw I feel no need to run a cloud model on main. If I need it, can have hermes call codex or Claude code. Good harness by @NousResearch
@yacineMTB Even the US military been using Xbox controllers https://t.co/37quFbTDlm
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84
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7mo ago
dankvr
@yacineMTB Even the US military been using Xbox controllers https://t.co/37quFbTDlm
@tobi @maticrobots This is quite nice to see on their site 🙂
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11mo ago
dankvr
@tobi @maticrobots This is quite nice to see on their site 🙂

jin (@dankvr) X Stats & Analytics

jin (@dankvr) has 29.3K X followers with a 1.40% engagement rate over the past 12 months. Across 1.53K posts, jin received 32.4K total likes and 2.47M impressions, averaging 21.2 likes per post. This page tracks jin's performance metrics, top content, and engagement trends — updated daily.

jin (@dankvr) X Analytics FAQ

How many X (Twitter) followers does jin have?+
jin (@dankvr) has 29.3K X (Twitter) followers as of May 2026.
What is jin's X (Twitter) engagement rate?+
jin's X (Twitter) engagement rate is 1.40% over the last 12 months, based on 1.53K posts.
How many likes does jin get on X (Twitter)?+
jin received 32.4K total likes across 1.53K posts in the last 12 months, averaging 21.2 likes per post.
How many X (Twitter) impressions does jin get?+
jin's X (Twitter) content generated 2.47M total impressions over the last 12 months.