Johnny Kay

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Johnny Kay

Johnny Kay

@JohnnyKay956910

National Executive Advisor and Co-Organizer of 🖥 Code and Coffee ☕️ (75,000 engineers, 40+ cities) !

San Francisco, CA Katılım Şubat 2026
522 Takip Edilen44 Takipçiler
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Johnny Kay
Johnny Kay@JohnnyKay956910·
Met @steipete at ClawCon SF... huge turnout with amazing energy around OpenClaw! Claws out woo! 🦞
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Dylan Babbs
Dylan Babbs@dbabbs·
Saturdays at @tryprofound… rooting for our colleagues in our 🇦🇷 Buenos Aires and 🏴󠁧󠁢󠁥󠁮󠁧󠁿 London offices!
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Johnny Kay
Johnny Kay@JohnnyKay956910·
🤖🥊 Woo! Happy 1-year anniversary to @UFBots! Awesome event and awesome robot fights. Congrats to @vitl2907... and @XeniaBulatov... on an incredible first year, and thanks to @nebiusai for powering the event! 🚀
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Johnny Kay
Johnny Kay@JohnnyKay956910·
🚀😎 @databricks ! Let's go! Excited to be heading to Data + AI Summit 2026 in San Francisco next week. Looking forward to meeting builders, engineers, founders, and community leaders while learning what's next for AI and data. If you're attending, feel to say hi! #DataAISummit
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Johnny Kay
Johnny Kay@JohnnyKay956910·
🔥 In San Francisco, building doesn’t wait for a stage. At the @joinaccelr8 launch party, @jAjAron opened our laptops and demoed what we’re building. Nothing formal just ideas, experimentation, and honest technical conversation. That’s builder culture. #BuildInPublic #AI #SF
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Michael Adams
Michael Adams@m_adams·
Introducing Republic - the best way to monitor the situation in your city. Track political news, crime, permits, events, community groups, and more across the city and in your neighborhood!
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RadixArk
RadixArk@radixark·
Today, we are thrilled to officially launch RadixArk with $100M in Seed funding at a $400M valuation. The round was led by @Accel and co-led by @sparkcapital. RadixArk exists to make frontier AI infrastructure open and accessible to everyone. Today, the systems behind the most capable AI models are concentrated in a small number of companies. As a result, most AI teams are forced to rebuild training and inference stacks from scratch, duplicating the same infrastructure work instead of focusing on new models, products, and ideas. RadixArk was founded to change that. We are building an AI platform that makes it easier for teams to train and serve the best models at scale. RadixArk comes from the open-source community. We started with SGLang, where many of us are core developers and maintainers, and expanded our work to Miles for large-scale RL and post-training. We will continue contributing to both projects and working with the community to make them the strongest open-source infrastructure foundations for frontier AI. We would like to thank our long-term partners, contributors, and the broader SGLang community for believing in this mission. We're also grateful to @Accel and @sparkcapital, NVentures (Venture capital arm of @nvidia), Salience Capital, A&E Investment, @HOFCapital, @walden_catalyst, @AMD, LDVP, WTT Fubon Family, @MediaTek, Vocal Ventures, @Sky9Capital and our angel investors @ibab, @LipBuTan1, Hock Tan, @johnschulman2, @soumithchintala, @lilianweng, @oliveur, @Thom_Wolf, @LiamFedus, @robertnishihara, @ericzelikman, @OfficialLoganK, and @multiply_matrix among others. Thanks for the exclusive interview with @MeghanBobrowsky at @WSJ about our vision.
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Ying Sheng
Ying Sheng@ying11231·
Congrats @radixark ! From SGLang @lmsysorg to Miles, and to future products, RadixArk is dedicated to building a crucible capable of repeatedly producing cutting-edge AI, bringing the best of AI into every household. We believe in a future of AI diversity and hope to drive the integration of AI into every aspect of production and daily life. In the future we envision, AI will become a partner to many companies and individuals, finding ways to self-evolve—in production, in daily companionship, and within virtual worlds. Everything we have experienced and will continue to experience in the SGLang and Miles open-source communities is unforgettable and highly anticipated. It has been both demanding and exhilarating, allowing us to see friendship, the world, and the boundaries. Over the past six months, I have witnessed for the first time how a united team moves forward hand in hand, and how deeply passionate they are about creation. Each of us has taken on our respective roles and numerous new tasks for the first time; we are all stepping out of our comfort zones, growing, and creating at a rapid pace. "It’s the step-by-step journey of a thousand miles that has carried us here today, and the same relentless march that will lead us into the tens of thousands of miles yet to come." In an era where AI has made ordinary productivity cheaper, relentless, day-to-day refinement has increasingly become the rare key that drives innovation and the future. We hope this will forever remain the soul of RadixArk's culture: focused, uncompromising, humble, and fearless. The underlying logic of creation is not the deliberate pursuit of novelty, but rather independent thinking that remains unswayed by temptation, paired with a meticulous drive for perfection.
RadixArk@radixark

Today, we are thrilled to officially launch RadixArk with $100M in Seed funding at a $400M valuation. The round was led by @Accel and co-led by @sparkcapital. RadixArk exists to make frontier AI infrastructure open and accessible to everyone. Today, the systems behind the most capable AI models are concentrated in a small number of companies. As a result, most AI teams are forced to rebuild training and inference stacks from scratch, duplicating the same infrastructure work instead of focusing on new models, products, and ideas. RadixArk was founded to change that. We are building an AI platform that makes it easier for teams to train and serve the best models at scale. RadixArk comes from the open-source community. We started with SGLang, where many of us are core developers and maintainers, and expanded our work to Miles for large-scale RL and post-training. We will continue contributing to both projects and working with the community to make them the strongest open-source infrastructure foundations for frontier AI. We would like to thank our long-term partners, contributors, and the broader SGLang community for believing in this mission. We're also grateful to @Accel and @sparkcapital, NVentures (Venture capital arm of @nvidia), Salience Capital, A&E Investment, @HOFCapital, @walden_catalyst, @AMD, LDVP, WTT Fubon Family, @MediaTek, Vocal Ventures, @Sky9Capital and our angel investors @ibab, @LipBuTan1, Hock Tan, @johnschulman2, @soumithchintala, @lilianweng, @oliveur, @Thom_Wolf, @LiamFedus, @robertnishihara, @ericzelikman, @OfficialLoganK, and @multiply_matrix among others. Thanks for the exclusive interview with @MeghanBobrowsky at @WSJ about our vision.

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