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Jason ✨👾SaaStr.Ai✨ Lemkin

@jasonlk246,103 subscribers

GET funded ➡ $200m https://t.co/AVvPIrIdFP🦄🦄🦄🦄🦄🦄🦄 FREE PLAYBOOK ➡ https://t.co/TIsMr22AhO CHAT Digital Jason ▶ https://t.co/bwkZCtvqlr Founder AdobeSign

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54% of Anthropic's new enterprise logos in 2026 came through self-serve. Self-serve enterprise. Real ACV. Real terms of service. No AE in the loop. Anthropic's Head of Industries Eleanor Dorfman walked through at SaaStr AI 2026 last week how they rebuilt the entire sales org in 30 days after Claude Opus 4.6 broke their demand curve in December. 👉The constraint: couldn't 3x or 4x the sales team fast enough without lowering the recruiting bar. The thesis: don't buy a new stack. Thread Claude through the one you already have. What they kept: 1⃣ Clay for enrichment 2⃣LeanData for routing 3⃣ Salesforce as system of record 4⃣Gong for call coaching 5⃣Ironclad for contracts 6⃣Slack for everything else What they added: Claude as the connective tissue between all six. The four moves: 1/ Killed the PLG vs SLG orthodoxy. Launched enterprise self-serve in January. Intercom Fin guides the buyer through the journey. Now 54% of new enterprise logos. 2/ Threaded Claude through the existing stack. Every AE starts the day with a "morning brief" Skill that pulls context from Gmail, Gong, Slack, Salesforce, Intercom, Greenhouse. 3/ Made Slack the front door for every support function. Slack ticket in, Jira ticket out. Claude triages and resolves inline if it matches precedent. Escalates with full context if not. 4/ Codified what the best reps do as Skills. Every new rep gets a sales plug-in with 5 Skills: morning brief, call prep, customer follow-up, competitive intel, create-an-asset. Anthropic didn't replace anything. They invested in the stack they already had and let Claude be the seam between everything. Most companies will spend 2026 evaluating AI-native sales platforms. But Anthropic did it with its current stack + Claude. Almost none of it required new software.

Jason ✨👾SaaStr.Ai✨ Lemkin

437,853 görüntüleme • 2 ay önce

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.Google Cloud killed its own opening video 3 weeks before Google Cloud Next. In rehearsals, VP of Marketing Sarah Kennedy Ellis looked at the opener her team had built and called it. It was using AI, but not enough of it to actually showcase what the product could do. So they rebuilt it from scratch. In 3 weeks. Here's how it came together, straight from her SaaStr AI 2026 session: - It started on a napkin. A creative director sketched the concept by hand, then fed it into Nano Banana to generate the source images and inspiration. - The story was Google's own history. The 1998 origin garage. Dino. The original server rack that was actually built out of Legos. 138 Easter eggs packed into the video, prompted from Google's own lore. - Then they added motion with Veo and stitched it all together with a few custom agents built on the Gemini Enterprise platform. - The agents improvised. They prompted for balls representing customers, and the model added a burst of water that was nowhere in the brief. It injected its own creativity into a physical, on-stage moment. - The hardest part was the most physical: resolution. Max output was 4K. The screen at Next is the size of a 737. They had to upres from 4K to 12K using a custom Deep Mind model, the same one used for the Wizard of Oz production at the Sphere. Top Takeaways: 1️⃣ The old version of this project needed an agency, a much bigger budget, and a lot more than 3 weeks. That whole path collapsed into an internal team using their own tools. 2️⃣ And the same video was impossible a year earlier. They tried similar work the prior year and it was too early, mostly because of the upres wall. Twelve months later it shipped on the biggest screen they had.

Jason ✨👾SaaStr.Ai✨ Lemkin

18,937 görüntüleme • 1 ay önce