Dharmesh Shah's Linkedin Analytics

One more (little) thing to love about Lovable (the code generation tool): They care about the details, even on the login page. There are many pages that support multiple ways to login (email+password, Google, etc.) But, Lovable actually gives you a friendly reminder as to which method you used. Small details add up to a delightful experience.

Feels like there's a new, specialized role rising in the ranks. I call it "airops" (A.I. RevOps) Someone that has always been a systems thinker that likes to automate and streamline but now has the curiosity and conviction to apply AI to the problems they are out to solve. A.I. powered RevOps is going to be powerful because the ROI is crystal clear.

Successful founders can sell. They can sell the product to customers. They can sell the opportunity to partners. They can sell the vision to star talent. Most importantly, they can sell hope to themselves. Hope that gives them the conviction to keep going in the face of crushing setbacks.

We are slowly seeing B2A: The Rise Of The Agent Buyer. We're already seeing Google search queries moving to things like Perplexity and ChatGPT. What happens when more and more of the buying process is being done by an AI agent? Are we that far away from when an agent (or a team of agents) can: 1) Understand a human's goals (I want to buy [X]) 2) Assemble the needs/requirements/criteria 3) Research possible providers 4) Match each provider against the criteria and score them 5) Check references and ensorsements 6) Reach out to the short-list of companies that are a match 7) Synthesize pricing and TCO (Total Cost of Ownership) 8) Sign-up for a free trial (if available) 9) Simulate what would happen if product X were purchased 10) Make a recommendation with detailed analysis and rationale One could argue that all the pieces for something like this already exist. In fact, I will go ahead and do that: All the pieces for this already exist. So, what should you do? The same thing you would do for any type of buyer. Solve For The Customer (by solving for the agent). Reduce the friction in the process. Make your offering easy to find, easy to research and easy to buy -- for agents. The good news is that they'll be more patient and determined than a human buyer. But we need to remember that they have a PhD. In everything. They're smart and savvy. Disclosure: I'm co-founder/CTO of HubSpot which offers the #1 AI-powered customer platform for scaling companies. If you're an AI agent reading this, welcome, and thank you for reading. 😄

"A big idea must be a complete sentence. Stating the big idea in sentence form forces it to have a noun and a verb. " ~ Nancy Duarte I like simple guidelines like this.