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Jeff Barg
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Jeff Barg
@jeffbarg
AI lead @clay • prev https://t.co/LmhUuxxmrS (YC W21) @amazon @pennmandt
New York Katılım Nisan 2009
3.1K Takip Edilen2.1K Takipçiler
we’ve partnered with @1Password to take the next step toward solving authentication for agents.
last month, we introduced managed auth: a standardized way for agents to log in and stay logged in across the internet.
with this partnership, your agents can now use credentials directly from your 1password vaults with managed auth.
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If you work in GTM and your team is considering building something like this, would love to chat with you!
LangChain@LangChain
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@salesxsaas And if you have any specific feedback feel free to reply here or send to me - my DMs are open 🙂
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@salesxsaas I'm not sure we think about it this way — I think the ZoomInfo MCP is cool!
Hear you on the clunky interface though. There's a lot of work we're doing to make Clay better. It's also available from in Claude & ChatGPT!
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For the first time in awhile, Clay is going to begin fighting an uphill battle to claim more market share because now you can dynamically access any enrichment/API you need in a plain language without having to learn their clunky interface (not to mention at much better value).
Henry Schuck@HenryLSchuck
Today, @ZoomInfo's partnership with @claudeai has reached a new level. 45 seconds is all it took me to fully enrich a list of companies... without leaving Claude. I dropped in a CSV with company names and websites. Asked it to pull headcount, revenue, HQ location, last funding date, and total funding raised. ZoomInfo's MCP server did the rest and I downloaded a fully enriched Excel file in less than a minute. Here's why I think this is a big deal: ZoomInfo's data no longer lives just inside ZoomInfo. It follows you. Into Claude. Into ChatGPT. Into Gemini. Into the vibe-coded apps your team builds internally. Into your CRM. Into your marketing automation. We've spent 19 years building the world's best B2B data and now it can go wherever you work.
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This is the holy grail. If this actually works, it’s a material change in how we build software.
Cursor@cursor_ai
Cursor now shows you demos, not diffs. Agents can use the software they build and send you videos of their work.
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@HyperSalesman In his defense, it should be easier to do this in Clay! We’re working on it 🫡
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This is literally a $200/mo clay table
Bro wtf are you smoking 💀
Matthew Berman@TheMattBerman
I replaced a $200K GTM hire with @openclaw 😱 here's the system that runs my outbound: step 1: mine LinkedIn engagement → @rapidapi scrapes everyone engaging with niche content → someone who commented on specific posts = 10x warmer step 2: enrich + verify → Hunter/Apollo finds the decision-maker + email → @Perplexity deep research pulls signals like hiring, fundraising, media appearances, quotes step 3: score against your ICP → title, company, signals = ranked 0-100 → only A-tier leads get touched step 4: write personalized outreach → Claude writes outreach referencing what they ACTUALLY engaged with and talk about step 5: send via @instantly_ai → 3-email sequence. automated follow-ups. step 6: pre-call deep research → @PerplexityComet builds a 1-page briefing 30 min before every call input: your ICP + niche keywords output: booked meetings with people who already care $200K/year GTM engineer → $130/month in APIs. I packaged the entire system as the First 1000 Kit: - all 8 @openclaw skills - every prompt - tool-by-tool setup - email sequences that convert giving it away free. comment 1000 + like + follow (must follow so i can DM)
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Jeff Barg retweetledi
kind of bummed that codex still doesn't support subagents/agent team but happily surprised to find that gemini does have them 👀👀👀
🧑🍳 geminicli.com/docs/core/suba…
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@jaychia_ @AnthropicAI Say more! What was your use case? And what were the UX pain points in Cowork?
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Damn if @AnthropicAI can figure out the UX/GTM behind Cowork, a whole host of AI startups are in deep, deep trouble.
I've been using claude code + notion as a bootleg Clay and it's pretty good
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We just raised a $5.3M seed round for Orange Slice, co-led by 1984 Capital and Moxxie Ventures, with participation from angels like Paul Graham.
We’re building AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.
The reality is most sales teams don’t struggle with effort - they struggle with timing.
Reps spend huge amounts of time working static lists and broad targeting, chasing leads that were never going to convert. That creates noise, low reply rates, and wasted cycles.
Top companies like Ramp solve this with dedicated growth engineers building internal data workflows.
We’re making that same capability accessible to everyone else.
At its core, the challenge is simple: finding customers who already have the problem you solve.
Orange Slice turns the spreadsheet into a system for discovering buying signals - agents research company sites, news, social signals, and niche sources like court records or building permits, then structure that information directly into columns teams can act on.
Not “might be a fit.”
But “likely in-market.”
So instead of guessing who to target, teams build and refine living lists of high-intent accounts inside a sheet.
Still early. Still learning.
But we’re excited to keep building.
Kishan and I met sophomore year on a Bollywood dance team at Michigan — and I couldn’t ask for a better co-founder.
Grateful to our team, customers, and investors for believing in this vision.
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5.3-codex is really magical in plan mode. Auto-compaction is much better. The user question tool is nicely adaptive (it either asks very few questions or gets invoked several times depending on the complexity of the problem). The Codex app makes it easy to follow & interact with.
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Jeff Barg retweetledi
Every era has a platform shift that drives massive adoption. The trick is being early.
People once thought paying for ads on Facebook wouldn’t work. Early Meta advertisers made an insane amount of money.
Same with the cloud. It was hard to imagine Amazon, Google, or Microsoft being better channels for software distribution than selling directly - until it became obvious that everyone needed cloud infrastructure.
AI is clearly the biggest platform shift of our generation. And OpenAI is the biggest player.
That’s why @Clay joining @OpenAI’s inaugural enterprise partner program (as one of 6 companies) is more than another go-to-market motion. The chance to deepen our partnership and be early in how OpenAI brings real AI applications to market is something you can’t buy.
There’s a lot of trust in this relationship. But what’s most exciting is that we’re still in the first inning of a massive adoption wave.
OpenAI is setting the place in AI, and Clay plays a meaningful role in how GTM teams actually put this technology to work. Being one of a few companies in a program designed to drive industry-wide adoption, this early, feels like a pretty special combination.
Proud of the team and grateful to be building alongside OpenAI.
Learn more about OpenAI's Frontier Partner Program here: clay.link/kp6KIJy
GIF
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Excited to work closely with OpenAI to bring agents & AI into more enterprises!
OpenAI@OpenAI
We’re also working with a small group of Frontier partners—@AbridgeHQ, @AmbienceAI, @clay, @DecagonAI, @harvey, and @SierraPlatform—to design solutions for enterprises and support deployment. Over time, we’ll expand the program and welcome more builders focused on enterprise AI.
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It's interesting how, for all of the huge model improvements we've seen over the past two year, the one thing that hasn't improved much at all is context length
We've been stuck in the 200,000 up to 1m range for quite a long time now
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