Charlie Deane

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Charlie Deane

Charlie Deane

@KicksCharlie

Creating @CompositeAI | Prev @crowdstrike, @wrathbots | Founded @statproxies | @zfellows

San Francisco Katılım Temmuz 2015
977 Takip Edilen2.6K Takipçiler
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Charlie Deane
Charlie Deane@KicksCharlie·
Excited to announce - @CompositeAI When I started sneaker botting 8 years ago, never would I have thought we'd have the technology to have this level of generalized automation. Looking forward to building the future of work with @YangFanYun
Composite@CompositeAI

The way agents use the internet is broken. They don't have access to your accounts, they're blocked on half of all websites, & they take hours to set up. Today, we're introducing @CompositeAI - the agent that connects to your browser to automate your mundane tasks.

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Bonnie Li
Bonnie Li@bonniesjli·
Today is my last day at @GoogleDeepMind. After almost 3 years working on Google's flagship AI models during one of the most exciting time in history, it's been an incredible chapter. It's been an honour to work with some of the best researchers in the world, who shaped how I think about research, engineering, and pushing the frontier. With lots of excitement, onto the next adventure!
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John McElhone
John McElhone@Johnmcelhone·
From stealth, privileged to introduce American Turbines. We're building a new class of small, highly manufacturable gas turbines for rapid-to-deploy energy generation. ​Abundant energy is the soil from which everything else grows: intelligence, industry, the next century of work. ​The only way forward is energy generation we can scale by orders of magnitude. We're building that here at American Turbines. Hyper manufacturable, by design. @amturbines
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Neddy
Neddy@restocc·
@frank_liquid @coinvestai i think coinvest isn’t accounting for the fact that the norwegian trapped between borders guy will be at the game. there’s no way brazil wins this
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Franklyn Wang
Franklyn Wang@frank_liquid·
Coinbase's AI is predicting (declaring?) that Norway will win. Co-Invest (@coinvestai) is picking Brazil to win. Who do you think will win?
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jay@jay_drainjr

this is what happens when a crypto company uses AI to generate sports prediction markets @coinbase is hallucinating results for a World Cup game that hasn’t even been played yet and sending factually incorrect notifications to its millions of users as “breaking news” dangerous and irresponsible

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Nicolas Brillante
Nicolas Brillante@nickbruhman·
worked on a little project over the weekend, psyched to share it :)
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Nishkarsh
Nishkarsh@contextkingceo·
Introducing HydraDB. The graph native context infrastructure for agents. Purpose built to deliver precise context & observability into why agents act the way they do. We've always believed graphs are the best way to manage AI context, but they've been too expensive to scale or impractical for storing full context. Until now. @hydra_db combines in memory, NVMe, and object storage into a single graph layer, making context delivery faster, cheaper, and more precise. We want context delivery to be extremely fast, 1000x cheap, and highly precise. Give your agents a brain.
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Ronak Malde
Ronak Malde@rronak_·
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory. We are a research lab and product company building the platform for Continual Learning. Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more. We’re partnering with some of the best AI-native companies: @ClayRunHQ @Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with. We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma. AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
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Victor Cardenas Codriansky
Victor Cardenas Codriansky@victorcardenas·
Product led growth not working? How about you try some grind your sales team to the bone led growth
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Dan Primack
Dan Primack@danprimack·
Inbox: "Fellow masshole announcing our Series B" Click.
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Nikolas Ioannou
Nikolas Ioannou@NikolasIoannou_·
Nearly 4 years ago, @marcbaghadjian and I had the crazy idea to build a credit card company. I was 19. Not the Odyssey, nor the Iliad, but our own small epic that we wrote day by day. We knew the odds and we embarked anyway. Fueled only by hope, we made immense sacrifices with no certain return. The idea changes and you change. Behind every photo of two founders, there is an army of people that came together. None of this could be possible without our incredible team, investors, and partners. Today is the end of a chapter in our epic, and the start of a new one.
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Jerry Zhang
Jerry Zhang@zjearbear·
Introducing Lemma. Your AI agents are failing in ways you can’t see. Lemma is the world’s first reliability platform that finds and fixes these issues fast.
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Suzanne Xie
Suzanne Xie@suzannexie·
1/ Exciting news: I’ve left Neo to join forces with a team of career military special operators and intelligence professionals to launch a new National Security focused venture fund with Strider Capital: stridercapital.com
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alistair
alistair@alistaiir·
We're launching the Monitor tool in today's Claude Code release. Claude spawns a background process and each stdout line streams into the conversation, without blocking the thread. e.g. "Use the monitor tool and `kubectl logs -f | grep ..` to listen for errors, make a pr to fix any crashes" This is both more reliable and token efficient than polling within the agent loop.
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Dillon Dunteman
Dillon Dunteman@dillon_dunteman·
Today, we are unveiling @hyperion__cap, an investment firm built to be the best strategy partner for deeptech founders. Again and again, we heard from these founders that venture capital has been failing them, even as more deeptech funds entered the market in recent years. Too many deeptech VCs lack a real command of industry history, hardware unit economics, go-to-market, and engineering nuance. Instead of rigorously evaluating complex frontier technologies, they often pass with vague references to “science risk." They overlook exceptional founders outside usual elite networks and concentrate capital based on pedigree, reducing their thinking to hand-wavy “founder bets." These VCs then prioritize promotion and social media over delivering real value to founders. In this world, LPs are also losing. And more of them continue to be disappointed by the lack of rigor that their deeptech GPs bring to evaluating these startups. We raised $35 million for Hyperion's Fund I to change this paradigm. On average, we complete 100+ pages of deep research and strategy ideas that are shared with our founders. We also share this industry research with our LP base, which has already helped support our founders with additional capital and valuable introductions. We hold regular strategy sessions with our founders and obtain key connections that unlock new growth vectors for their businesses. Over the last 6 months, we’ve already invested $9 million behind founders across 7 companies: @FarisSbahi at Normal Computing, @isaiah_p_taylor @ Valar Atomics, Will Wilson @AntithesisHQ , @drauwsy @ Kunin, @abeirami & @aparandehgheibi @ [stealth], Charlie Cheng @ TC Lab, and Mike & Josh @ F-ADA. I'm deeply grateful to the senior leadership at Vista Equity Partners for their support, to the venture GPs who have advised us, and to the founders who chose to partner with us in the earliest days. We’re especially grateful to our limited partners, who put their trust in us at the firm's inception. Lastly, to build this firm alongside one of my closest friends and college teammates @henr56520 been a true privilege. We’re looking forward to working relentlessly for the founders we've backed and for those we’ll have the chance to support in the years ahead. hyperioncap.co
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Rak Garg
Rak Garg@rak_garg·
so basically every booth at RSA is threatmaxxing rn because the new meta is slap “agentic AI” on the one-pager before Anthropic hard mogs your entire TAM the SIEM vendors went full monk mode and rebranded overnight but investors are looksmaxxing the actual architecture and it’s giving NPC energy fr CrowdStrike tried to branch swing to their own foundation model but Claude just sigma stares the benchmark into the dirt so now they’re beta orbiting the Anthropic partner tier like the MDR girlies invoked SOC 2 and NIST to force legitimacy cope, called it “human-in-the-loop differentiation” Palo Alto is EAmaxxing on stage about responsible AI but backstage it’s full skibidi crisis mode because the moat is just vibes at this point the seed-stage “AI-native security” founders are still jestermaxxing on LinkedIn like bro you are literally a YARA rule with a Stripe integration textbook volcel disruption. they saw the demo, understood the demo, and still printed 400 hoodies no cap RSA 2025 is just a grief support group with better badge lanyards
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