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Some of the smartest and coolest people I've met are Zappy Award winners. Jocelyne Mendez-Guzman, MSc, Angela Ferrante, Isaac Smith, Dan Dorato-Hankins, Amber S., Andrew Harding... I could keep going. The good news is, you can join that list because the 2026 Zappy Awards hosted by Zapier just launched! Beyond joining the ranks of the smartest people using AI, you can also win $5,000, the famous orange block trophy, and get spotlighted at ZapConnect. (I mean, what a cool thing to tell your manager you won! 👀) If you're using AI to do something cool, to accomplish something you previously thought was impossible, or are the person helping your team bring it into their day-to-day work, you deserve the spotlight! Nominate yourself! Or if that made you think of someone on your team, nominate them! That's right, this year you can nominate someone else. I can't wait to read about all the things you've been building! ⚡ Apply or nominate ➡️ https://lnkd.in/gtjj35mN (And a huge S/O to Rob Ayre for making this year's awards bigger and better than ever before!)

Nominations are open for the Zappys. We're picking winners in 10 categories including AI Transformation Leader, AI Builder of the Year, and Rising Star. Plus categories across Marketing, Sales, Ops, IT, HR, Exec Ops, and Customer Support. The Zappys are Zapier's highest honor for AI leadership. These awards go to the people turning AI and automation into a company-wide advantage. The prize: $5,000 and a featured spot live at ZapConnect. Nominate a peer (or yourself) here: https://lnkd.in/gX82aRTs If you nominate someone, let me know who 👇

The Zappys are back 🏆 This year, we're looking for the builders who made everyone else ask "wait, how did you do that?" Nominate across 10 categories: • AI Transformation Leader • AI Builder of the Year • Rising Star • Plus function-specific winners across Marketing, Sales, Ops, IT, HR, Exec Ops, and Customer Support Nominate a teammate, or yourself (we won't tell anyone) Submissions are open here: https://lnkd.in/eSxWHJMU

The new era of Zapier? Using it inside agents like Claude Code, Codex, and OpenClaw. We recently ditched an expensive social listening tool bc we built the functionality ourselves. The stack? Zapier MCP + Cursor (but you can use any agent) Ryan Quindlen built this internally for a hackathon and it's already saving us real money. We had always assumed Reddit and LinkedIn were things we needed to PAY to listen to. We were wrong. It took a marketer one day of building to figure that out. He and Bella Rose Mortel also moved our social media request system into Slack. React with an emoji, it routes the request. All built with the Zapier SDK (no Zaps) None of this happens without space to build. We’ve been running a lot of hackathons (with prizes) to encourage folks to solve their own problems. In fact we’re running another one this week for SDK. Are you giving your marketers the time, space, and resources to build? It might save you some serious $$

You can now install Zapier into your AI straight from zapier.com⚡

Weekly GTM AI use case spotlight from inside Zapier. Real builds, real people. Week three: Rob Ayre, Customer Advocacy Rob is based in Toronto and is pretty new to Zapier... just a couple of months in. His energy is genuine and infectious. He was shipping builds and making friends before his onboarding was even over. And not to mention completely changing the way marketing works. This week's build: not one thing. Rob rebuilt the entire customer advocacy function as an AI-native operating system. Tools: Cursor (his copilot is named Hank) Zapier SDK + MCP Databricks MCP Zapier automations and Tables Here's what the old state looks like at most companies: one person, a spreadsheet, and a DM chain. You know customer stories exist, you can feel them in your customer calls and your renewal conversations. But finding them, qualifying them, developing them, and getting proof into a sales rep's hands at the right moment? Manual at every stage. By the time a story is ready, the deal it was supposed to support has already closed. Here's what Rob built instead: 1. Slack intake: when anyone spots a potential customer advocate in Slack, one emoji reaction logs them into the pipeline automatically — no form, no DM to Rob 2. Advocacy CRM: 230 accounts live in a tracked, enriched pipeline 3. Story Discovery: Cursor pulls real account and CRM data to surface which customers have a story worth telling and what the narrative angle should be 4. Content Library: 700+ stories, quotes, stats, and slides all staged, formatted, and approved for use 5. Pre-Call Proof Brief: a sales rep posts a company name in Slack, gets a full Coda page back in minutes of peer companies, published case studies, talk tracks, droppable stats. Used to take 30+ minutes of manual digging. The whole thing is manageable from a single Cursor conversation. The part I find most underrated: Rob also built the Weekly Pipeline Pulse. Every Wednesday at 8am, a structured update posts automatically to the team channel with all the stories shipped, interviews booked, new inbound, new contacts spotted. He reviews a draft, replies "go," it ships. The entire team knows the state of the customer story pipeline without a single standup. Customer advocacy has always been one of the highest-leverage, most under-resourced parts of a GTM motion. Rob didn't automate the old function, he replaced it with something that runs itself. This is what an AI-native hire actually looks like in practice. Someone who uses AI to not just go faster, but to build a fundamentally different version of the job. What does your customer advocacy or reference program look like operationally right now? Curious how many are still running it manually? Rob (the nicest guy ever) would prob be happy to share more!

A Slack ask that used to WRECK my night took 3 mins with Zapier's next product. 💬 My manager asked me for a full update on all the programs I’m involved in tied to our AI transformation GTM efforts. ⠀ Not just “what’s the status?” ⠀ He needed: ⠀ • quantitative metrics • qualitative insights • nuance around impact and adoption • updates pulled from a bunch of different systems ⠀ Basically the exact kind of request where the information lives everywhere and nowhere at the same time 😅 ⠀ Normally, I’d spend hours digging through docs, dashboards, slides, Slack threads, CRM records, call notes, spreadsheets, and random “I know I saw this somewhere” messages trying to stitch together a coherent narrative. ⠀ Instead, I copied and pasted the ask into our new chat-like interface and shared team brain (in closed beta). ⠀ The prompt was basically: ⠀ “Look across Slack, Gmail, CRM, my call recordings, event notes, and the spreadsheet I use to track sourced leads. Help me answer this for our April GTM update: ⠀ What were the key April numbers? What actually moved the needle? What was one bright spot? What friction or question do I need help with in May or June? ⠀ Then turn it into an exec-ready update slide.” ⠀ And it just handled it. ⠀ It pulled the right context from across my tools, synthesized the info, organized the story, surfaced the metrics, and then built the Google Slides deck for me on the first pass. ⠀ That part genuinely broke my brain a little. ⠀ What’s wild is it didn’t feel like using a chatbot. It felt like working alongside someone who already understood my systems, my context, and where the information lived. ⠀ This is the shift I think a lot of people still haven’t fully experienced yet: ⠀ AI gets dramatically more useful when it can securely work across your actual tools and workflows instead of living in a disconnected chat window. ⠀ That’s the magic behind where Zapier is headed next. ⠀ Natural language in. Real work out. ⠀ Still kind of stunned by this one. ⠀ 👉 Join the waitlist for our closed beta today: ⠀ zapier.com/shared-brain

Super Bowl → Meeting the team → teaching 1M people how to use AI → ??? AL's not done 👀

Eight people run accounting at Zapier. We’re not cutting corners or light on systems… We’re running dozens of automations and agents across the full stack. The boring parts of accounting that used to eat headcount now run themselves, and my team gets to spend its time on the parts that actually move the P&L. A few automations our team is often asked about: • Tax-exempt certificates: AI reads what customers send in, decides eligibility, and pings Slack when something is missing so we do not play email tag at quarter end. • Favorable FX: Miranda Conley’s workflow watches conversion rates and alerts in Slack when it is time to act • Journal-entry guardrails: Ezra Goldberg‘s monitor flags when entries drift from our coding rules so we fix issues early and close cleaner. • Sales speed: Luis Ulloa, CPA built answers for pricing questions that include proration math so deals do not stall in a Finance queue. • Zip to NetSuite: AI maps project and amortization from Zip transactions, updates NetSuite, then posts a Slack recap with links for spot checks • Month-end recon: we pull NetSuite and warehouse data, let AI handle the predictable steps (ex: cash-in-transit) and keep humans on exceptions. • Accounting inbox: using Zapier MCP and SDK, we classify mail, route invoices into Zip (including attachment-type checks so the downstream system can ingest them), and file receipts into Google Drive in audit-ready folder structures. ——— Our team is going live for the first time to show this all off and answer your questions. Join us on May 20 at 10am PT. Register for free here: https://lnkd.in/gb7Sr8qt