Clay’s cover photo
Clay

Clay

Software Development

New York, NY 164,503 followers

About us

The creative tool for growth | Go to market with unique data - and the ability to act on it ✨

Website
https://www.clay.com/?utm=linkedin
Industry
Software Development
Company size
201-500 employees
Headquarters
New York, NY
Type
Privately Held

Products

Locations

Employees at Clay

Updates

  • View organization page for Clay

    164,503 followers

    ITSSSS TIMEEEEEE for Candid Clay in May! We went to Cape Cod for our annual company retreat and holy SHMOKES have we grown! (please see attached) Some highlights: - Julian Cope in full bloom - Clay Cup rages on with killer duo Munnawar & Owen - Siya leading our first Women & LGBTQ+ focused Clay Clubs in Delhi - Natalie graduating the newest wave of Clay Cohort alum - Justin is an adult! We have fun here 😊

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      +13
  • View organization page for Clay

    164,503 followers

    Only <7% of Clay's lost deals are about pricing. Emily (SLG Growth Lead) and Davide (Head of Growth) learned that after running 3 killer plays off Clay's closed-lost folder 👇 𝗔𝗹𝗹 𝘁𝗵𝗿𝗲𝗲 𝗽𝗹𝗮𝘆𝘀 𝗿𝘂𝗻 𝗼𝗳𝗳 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗯𝘂𝗶𝗹𝗱: 1. Pull Gong, Salesforce, and Snowflake into Clay 2. Claygents read every call tied to the deal 3. Surface the deal's real lost reason + champion 4. Rank accounts by re-engage signal 𝗙𝗿𝗼𝗺 𝘁𝗵𝗲𝗿𝗲, 𝘁𝗵𝗲 𝗼𝘂𝘁𝗽𝘂𝘁 𝘀𝗽𝗹𝗶𝘁𝘀 𝗶𝗻𝘁𝗼 𝘁𝗵𝗼𝘀𝗲 𝘁𝗵𝗿𝗲𝗲 𝘁𝗵𝗶𝗻𝗴𝘀: 1. RevOps gets a re-engagement email w/ the deal's full context already loaded 2. PMM gets a Sculptor trend doc every quarter for roadmap planning 3. Product gets the exact feature gaps that killed deals 𝗪𝗲'𝗿𝗲 𝗱𝗶𝘃𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝗶𝘁 𝗮𝗹𝗹 𝗟𝗜𝗩𝗘: 📆 Wed @ 12 PM ET RSVP link in comments!!!!!! 👇

  • View organization page for Clay

    164,503 followers

    What is go-to-market engineering (and what does it look like for startups)? We're answering that alongside the GTME teams at Notion, Profound, and Tailscale to answer the basics. You'll walk away knowing: 1/ what GTME actually looks like day-to-day 2/ how to build the team and who to hire first 3/ all about the tools, the metrics, the messy parts Saved you a seat 👇👇👇 📅 Tuesday, June 2 ⏰ 12:00–1:30 PM ET 📍 Our NYC HQ Open Q&A. Early-stage builders welcome. Space is limited! Grab a spot here: clay.link/0eBBAlU

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  • Clay reposted this

    I built GrantMeter.com using Clay + Lovable to help non-profits discover grant opportunities that fit their mission and profile. Now, we're launching Clay grants for non-profits. We’ll be offering grants in the form of credits + hands-on support to a select group of non-profit organizations looking to do more with their data, fundraising, and outreach. You do not need to be a current Clay customer, and no prior Clay experience is required. These grants can be used for things like: • Enriching and segmenting donor databases • Identifying donor professional backgrounds and employers • Finding lookalike donors and high-potential supporters • Researching prospective donors, sponsors, or partners • Better understanding newsletter subscribers and event attendees • Reducing manual research and admin work so teams can focus on impact Apply here (takes ~7 min): https://lnkd.in/eCPKbgpG Please reach out to Reagan Sullivan or me with any questions. And if you know any non-profits that could benefit, feel free to share this with them - we'd love to help!

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  • Clay reposted this

    Clay isn't just for finding new customers. Here's how teams are using it to keep & grow the ones they already have: 👉 Stop Customers from Quitting: The moment a key contact leaves their job, Clay flags it so your team can act before the account cancels. 👉 Selling More Seats: When a customer starts hiring fast, Clay spots it so you can reach out and sell more licenses at the right time. 👉 Saving Time: Instead of spending hours prepping for a renewal call, Clay researches the customer for you and hands your team a ready-made summary. 👉 Finding Hidden Revenue: Clay finds the smaller customers who look just like your biggest ones, so your team knows exactly who to go after for an upgrade. 👀 Check out the full playbook: https://lnkd.in/eXcg5tsS

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  • View organization page for Clay

    164,503 followers

    𝘎𝘛𝘔 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 is to 𝘎𝘛𝘔 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 what 𝘤𝘰𝘮𝘱𝘶𝘵𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 is to 𝘤𝘰𝘮𝘱𝘶𝘵𝘦𝘳 𝘴𝘤𝘪𝘦𝘯𝘤𝘦. And the best GTM engineers see markets as structured data, build systems that act on that data, and design for specificity at scale. The mindset is also equal parts: AI craft, judgment, pattern recognition, and the tenacity to “figure it out." Read about our 8 principles of GTM engineering! 👇

  • Clay reposted this

    View profile for Esteban López Betancourt

    Scaling orgs with RevOps & GTM Architecture @ Fuel GTM - Clay Advance Artisan (Certified Expert)

    thank you Clay for these beautiful gifts, got the analogy and put the builder engineer into practice 👷♂️👨💻🤓 man the box and the multi tool are awesome, the book and stickers are missing in here, because in the office Thanks Kareem Amin Varun Anand Bruno Estrella and the whole team at Clay

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      +1
  • Clay reposted this

    The best way to learn vibe coding in 2026 might be to stop watching tutorials. This week, I went to New York City to be an agent coach at an event hosted at Clay office, helping industry veterans learn how to use Codex and build with AI agents. Thanks to Izzy Kim Before anyone opened a laptop, we started with a somatic exercise led by an instructor from Othership, which felt very New York, but also oddly fitting. Because the hard part of agentic coding is not just writing the perfect prompt. It is staying calm while the agent moves fast, understanding what it is doing, and giving it better direction. I worked with people building projects ranging from personal secretaries to stock trading bots. What stood out to me was not a lack of curiosity. It was the opposite: everyone wanted to learn. But I also saw how much today’s AI tools still assume. They assume you know how to set up GitHub. They assume you understand basic dev workflows. They assume you already have the mental model of an engineer. That made me think the biggest challenge for AI adoption is still user experience. The next great AI product might not only automate work. It might also teach people enough to express what they want, understand what is happening, and build with confidence. People do not lack ideas. They need a better bridge from idea to software. What would you build more if AI handled the hard parts?

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