GTM Engineering

New York, NY
First they ignore you Then they laugh at you Then they call you names Then they beat you up Then you go home and cry
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The update to Jeff Bezo's "every team must have an API" is "every team must have an MCP"
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POST /economic 403 Forbidden request denied
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The gap between major model releases keeps shrinking. 2023: once every 73 days 2026 (so far): once every 18 days 🤯
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new Haiku, Sonnet and Opus let's gooo
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Massive opening for DoorDash cli
Muse vs Amazon bot detection. Uh oh
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We should be praising the lady who sent her kid to a terrible school to prove a point for admitting she was wrong. Forgiveness and self reflection are the first steps for helping people who got caught up in this type of thinking over the last few years.
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they make sliding closet doors specifically so it’s easy for kids to slam them shut and impossible for dads to fix
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NEVER thought i would hear this from jeff dean he thinks we can compress chip design from 2 years to 3 months with RL + new EDA tooling essentially just by a specialized auto research loop for hardware!
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Everett retweeted
dead internet theory
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✌️@clay I love you so much
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*pointing to a giant pile of stickers and pins at a company event* these are highly coveted
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Everett retweeted
I feel like the data sovereignty movement for firms is going to run headlong into the challenge that maintaining fine-tuned small models in a way that continually beats larger general-purpose models is expensive and difficult as long as the AI exponential ability growth continues
September 2026: - I use GPT-6 Astra to run multi-state research projects that would have otherwise required dozens of hours of human labor - Latham spends $[redacted] on GPUs to *checks notes* fine-tune NVIDIA Nemotron 3
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Everett retweeted
finding the navier stokes singularity is in some sense much easier than doing your job end to end
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Wait until the French discover the new country song “Say La V”
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People are not getting that it’s pointless to build powerful models you can’t control. What business or country would want that?
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Remember these posts? Turns out it actually was Claude 😭
There’s a large grain of salt!🧂 Kimi is still calling itself Claude.
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More in this amazing report - the most interesting doc I have read this year.
We're publishing our most detailed threat intelligence report to date. It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them. We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies. These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve. We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop. Read the report: anthropic.com/threat-intelli…
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Clay is the epitome of capital efficiency at venture scale: ✦ Series D → 1.6% dilution ($115M at $7.1B) ✦ Series C → 3% dilution ($100M at $3.1B) ✦ Series B → 3% dilution ($40M at $1.25B) Honored to be powering clay.​link links with @dubdotco – and more 🔜 😉
Replying to @clay
@Clay just raised a $115M Series D at a $7.1B valuation. Now, more than 17,000 teams build on Clay, including Anthropic, SpaceXAI, Google, OpenAI, Stripe, Visa, UPS — and 80% of the Forbes AI50. @nytimes just broke the news, but the story goes far beyond the raise. AI is unleashing the biggest wave of company creation in history. Clay’s goal is to be the engine they use to grow. Clay is a self-learning revenue engine that figures out the best GTM play for your company, then runs it. We started as the company with the best data about other companies. Then we became the infrastructure to run campaigns across email, ads, and landing pages. Now we’re building agents that learn from every campaign, predict the next best action, and get better each time they run. Software engineers use coding agents to write code. GTM engineers now use growth agents to autonomously grow their companies. In 2023, we introduced GTME as a new role for people creating revenue systems with data, automation, and AI. Two years later, thousands of GTMEs are growing the world's best companies. They are gathering in nearly 100 Clay Clubs around the world, from Bangalore to Boston and Lahore to Lisbon. That’s why we’re proud to launch a $1M scholarship fund, helping more people enter the profession. @Wellington_Mgmt led our Series D, with participation from @sequoia, @stepstonegroup, @a16z Perennial, @MeritechCapital, DST Global, @CapitalG, @BoxGroup, @boldstartvc, @BloombergBeta, and @EvolutionEquity. A gracious thank you goes out to our customers, community, partners, team, and every GTM engineer shaping this with us. We are going to unveil the future of Agentic GTM at SCULPT on October 8. Stay tuned to see how to use AI to grow every company. 🖤🩵❤️💛
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Everett retweeted
Replying to @Wellington_Mgmt
And who will build all this? Go-to-market engineers. The GTME career is still just beginning, and we want to accelerate it. That’s why we’re also announcing a new $1 million scholarship fund to train the next generation of GTM engineers: clay.link/xCZk9ck
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