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Everywhere
Joined October 2008
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AI is machine-native intelligence and crypto is machine-native money. Both AI and digital assets translate real-world inputs into formats machines can use. Our latest research looks at why that connection could become increasingly important as AI evolves. blackrock.com/us/individual/…
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Drop your website/app ⤵️
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STROKE at the age of 34. ​Runs 5k on weekends. Normal blood pressure. No diabetes. No smoking. ​But ONE common stress relief habit quietly tore a major blood vessel and caused a massive brain attack. ​A medical thread on what actually happened 👇
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The Son of Shiva. The Pride of Parvathi. The Eternal Commander. And, once again with TRIVIKRAM. #NTRxTrivikram
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peaks of peak cinema 🤌
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HIS REIGN… HIS SOIL… JUNE 11, 2027… IT IS…. #NTRNeel
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We're also giving away a curated collection of 200+ Claude Code Skills our team uses daily — the workflows that made us faster engineers while building PlayerZero. Repost and comment "100X" to get access.
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Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN
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Jai Balayya bholo 🦁🔥🔥🔥 teapawt.org/Kadirodu_Offl/status/2…
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#JaiBalayya new song Adirindhi 👌 Gawtham dance next level 🔥🔥🔥🔥 #NandamuriBalakrishna #GawthamKumar teapawt.org/Kadirodu_Offl/status/2…
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#DOGE price prediction in a spectrum $1.1 on 6 January ... $3.8 on 7 April But things can be closer than they appear. Green weeks area already printed. NFA
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