Claymakers retweeted
My roommate @yash_tek became the first GTM engineer in 2023. The role has evolved a ton since (agents) and so has @Clay's playbook for hiring them.
We made that public today. Here's my breakdown 👇
teapaw.org/clay/status/2120203719…
Applications are open for the 2027 @Clay Campus Ambassador program! 🎓
Learn Clay in two weeks. Teach it to your campus. Walk into your next internship or job with skills that move the needle.
Past ambassadors have landed internships through Clay events, visited our NYC and SF offices, brought Clay to their internships, and attended their first conference at Sculpt.
The details:
▶️ Apps close Thursday, Dec 3 | 11:59pm EST
▶️ You'll hear back by Wednesday, Dec 16
▶️ Training happens in January (2 weeks, part-time, fully virtual)
▶️ For full-time undergrads in North America, South America, and EMEA
▶️ Interested in Sales, Marketing, Growth, GTME, RevOps, or Product
▶️ Perks: a Clay workspace with free credits, elite swag, direct access to our talent team, exclusive events, and guest speakers
Know a curious, entrepreneurial student who loves teaching others? Tag 'em or send this their way!
💭 Learn more: lnkd.in/eeVYyzsY
🏃♀️➡️ Apply here: lnkd.in/eCJg45Bn
Claymakers retweeted
I don’t want to sell you a fishing rod.
I want to fish for you, show you how I fish, and inspire you to learn.
I want to share the joy and impact of the work until @clay becomes the obvious choice for growth.
My last video raised a few questions. So I made a follow-up 🐟
Claymakers retweeted
Ayy you can use @clay in @bot now! I made one that does research on events / dinners guests.
Just link your cal or add a screenshot and it'll use Clay to make a detailed report with a face/name cheat sheet (i'm terrible w/ remembering names ugh).
Link: x.ai/bot/hEmSUvWxccmfAVDGri1…
Tweak to your heart's desires.
Claymakers retweeted
@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.
🖤🩵❤️💛
Claymakers retweeted
The bull case for Clay being a $100 billion company
“The bull case is that agentic GTM has just started. We thought the TAM was the same as it was.
It turns out when agents can run these GTM motions, they will consume 10 to 100 times more usage than humans ever could. They can run GTM around the clock.
The usage is just going to explode, and Clay is a clear breakout winner. That is the bull case for Clay being a $100BN company.” @jasonlk
Love to hear your thoughts. What is your bull case @NicolaeRusan @edsim @acharoo @joshk @andrew__reed @scottbelsky @lennysan @shishirmehrotra
This podcast is the single most important podcast to know what is going on in tech every week.
On the agenda this week:
- NVIDIA Crushes Quarter and Buys Hugging Face
- OpenAI Cuts Off Cursor
- Instinct Hits $2.5BN Valuation and The Race for AI Assistants
- Cognition Raises at $46BN, Linear $2.5BN and Clay $7BN
My notes with @rodriscoll and @jasonlk below:
1. How Instinct Could Follow the Same Path as Replit and Lovable
In the early days, cloning lightweight AI tools is trivial. Defensibility emerges by rapidly adding complex workflows like security automation and multi-agent orchestration. Products that start without a moat can build formidable ones over time by solving dozens of evolving customer requirements faster than anyone else.
2. Hugging Face Acquisition Explained
As the maker of compute, NVIDIA benefits when AI token traffic flows through 30% gross-margin open-source models rather than 70% gross-margin closed models where platforms capture more of the economics. Driving down software margins allows a greater share of total ecosystem spend to flow directly into GPUs.
3. The Bull Case for Clay Being a $100 Billion Company
Autonomous agents executing go-to-market strategies around the clock could consume 10x to 100x more tokens and software usage than human sales teams ever could. As a leader in agentic GTM, Clay is positioned to capture an enormous wave of automated outreach, campaign analysis, and global prospect engagement.
4. The Bull Case for Linear
When software teams build 100x more features at 50x the speed using AI, legacy project management tools and manual Kanban boards begin to break down. Linear can become the agent-friendly system of record for coordinating, tracking, and managing thousands of issues generated simultaneously by human-agent development teams.
5. The Three Ways the Wheels Come Off the Bus for NVIDIA
NVIDIA’s record-breaking momentum faces one fundamental existential threat: a sudden collapse in end-user demand for AI intelligence. Hyperscaler CapEx buildouts and complex vendor financing arrangements work only as long as customers continue aggressively buying frontier-model tokens throughout the supply chain.
6. We Are All Building Compound Startups Today
AI development tools have accelerated code production dramatically, making narrow point solutions increasingly vulnerable. To survive rapid competitive convergence, software startups must embrace becoming compound companies that ship expansive, multi-module product suites covering the entire customer workflow.
7. We Did Not End Up Doing More With Less. We Did More With More, and That’s Why European Startups Fail
The belief that AI would allow companies to shrink headcount and simply do more with less has not played out as expected. Winners are compounding capital and talent to do vastly more with more, putting underfunded point solutions, particularly across Europe, at risk of being overwhelmed by aggressively scaling U.S. competitors.
(links in comments)
the IA40 recognizes the 40 most important private companies in applied AI.
thanks again Madrona, AWS Startups, Microsoft, Google for Startups, NYSE, Delta Air Lines, and McKinsey & Company :)
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We just made Madrona's 2026 Intelligent Applications 40 list. Mind-blowingly, 65% of this year's winners build on Clay, too.
The IA40 recognizes “the top private companies building with and enabling the AI applications shaping our future,” and this year’s list is about AI teams proving real ROI in production.
Claymakers retweeted
Life update: started a job as a creator-in-residence at @clay_gtm.
I get to build, research, and storytell for a living😀
For my 1st YT video, I went down a silly rabbithole that turned quite meaningful.
I've never met a Bhaumik in my life, I thought Clay could fix that
Repeat after us: the right pitch at the wrong time is the wrong pitch. That's why we revamped Clay Sequencer. Here's what's new:
1/ Always-on lead sourcing: Find the fresh leads from your CRM, signal data, or Clay’s people database, then build dynamic lead and exclusion lists around them.
2/ Self-qualifying leads: Refresh your GTM data continuously, so accounts enter campaigns when they fit and leave when they don’t.
3/ Context-driven copy: Templates with AI snippets let you decide what gets personalized, using context from Clay’s 200+ data providers.
4/ Centralized send and deliverability management: Buy inboxes and domains without leaving Clay, with warmup built in.
5/ Replies ready before reps open Slack: Auto-draft and share responses so your team can approve before sending.
Make sure your message lands at the right time, with the right people. Available on Launch, Growth, and Enterprise plans.
Learn more → clay.link/3jVog5b
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should this go to a rep? should this go to the account owner? should this go to the csm? should this go to sales leadership? should this go to revops? should this go to support? should this go to the person who last touched the account? should we re-engage? should we wait? should we send a softer note? should we send the breakup email? should we start a new thread? should we revive the old thread? should we route it to a human first? should we run the expansion play? should we run the closed-lost play? should we run the renewal play? should we run the competitor displacement play? should we run the product usage play? should we run the executive intro play? should we run the “new champion” play? should we find a better contact? should we enrich the account first? should we check the crm? should we read the last call? should we look for a buying signal? should we check who changed jobs? should we see if the company is hiring? should we see if they’re using the right tools? should we assign an owner? should we send a slack message? should we update salesforce? should we create a task? should we run a function? should we add them to a sequence? should we kick off another workflow? should the rep write the note? should clay draft the note? should we personalize it from the last call? should we mention the old pain? should we mention the new trigger? should we keep it short? should we hold because the account isn’t ready? should this account move forward? should this account stay parked? should this account get more research? should this account get a human review? should this account get routed into a different segment?
idk ask Account Agent
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We just made bug triage sexy again.
Now, when a nasty Linear ticket hits the team, an agent comes back 15 minutes later with the whole investigation: what happened, where it lives in the code, a test, a fix, a draft PR, a confidence read, and the right owner.
And when it can close the bug, it just does. 15% of bugs now get closed without a second of engineering time, and without production-log access.
The agent is built with Linear as the system of record, Clay automations handling the handoff, and Cognition’s Devin doing the autonomous investigation work.
The engineers broke it down here: clay.link/kw1m6Vz
Claymakers retweeted
@clay_gtm was 20 people when I joined. Today we are 552. The thing I’m most proud of is that our marketing team moves just as fast now vs. then. The reason is because I’m obsessed with avoiding the startup marketer death cycle.
As a marketer joining a startup, you probably experienced this cycle:
Step 1: You join early. Mostly because you seek the ability to move fast and solve problems. You talk to customers, you find the value prop, you find the levers, you find the channels, and you ship fast. Things work. The company grows.
Step 2: So you hire. More people means more process though. Now, we’re worried about our brand, we spend hours talking about alignment, we also need to go through approval chains. Launches that took days start taking weeks.
Step 3: You get frustrated. You've forgotten you're the person who moved fast when the team was small. And you often talk to others “remember when we launched that campaign?! That was crazy.” You keep thinking about the good old days.
Step 4: So you leave for the next early-stage startup to feel that speed again. And typically, the cycle repeats itself.
Autonomy and speed are the only things that keep great marketers around. And the thing that kills both is the org chart.
Here's how we’ve been trying to fight it:
1. Diagnose the org bottlenecks. You should try to design the teams to move fast. Typically, social teams fall under brand and video under content. This inevitably creates a bottleneck. Combine the two so they can create and distribute content right away.
2. Give the team the ability to bring in external resources. Do they need to ship something fast? Hire contractors to unblock you now.
Inevitably, this creates a lack of coordination. However, I would rather have a chaotic org that ships fast, than an organized org that moves slow.
Gotta choose your battles.
Claymakers retweeted
For the first time, Clay Club (@clay_gtm) came to Istanbul, and we were proud to be one of the organizers behind it. 🎉
A great morning of hands-on learning around modern distribution. Clay basics, personal brand on LinkedIn, and a firsthand startup GTM story.
🤖 Made with AI
