Sun.Jan 23, 2022

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Dear SaaStr: Do VCs Prefer Startups With No Competiton, Or Those Disrupting Competitive Spaces?


Q: Do venture capitalists choose companies that have no competition or ones that are trying to disrupt a competitive market? I think most VCs do both. We did an analysis of SaaS startups that had IPO’d and about 70% were new versions of something new, and 30% were truly new categories: So VCs like to do both. The reality is, entering an existing market especially in B2B is often faster and easier, despite the competition.

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How to Lead a Strategic Board Discussion


Have you ever been to a board meeting where 60 minutes were allocated on the agenda for discussion of a strategic topic? What happened in that session? You probably started late because board meetings are hard to keep on time. Some exec, maybe the CEO, probably presented a “few slides” to “tee up” the discussion. “A few” turned out to be 23.

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Top Post & Vids of the Week: CRO Box, CMO Calendly, COO Asana, CCO Figma, and More!


Top Blog Posts This Week: Meritech: The Average SaaS Company IPO’s at $225m in ARR. And is No Longer in the Bay Area. Dear SaaStr: How Much Does The VC On My Board Make If We Sell for 1 Billion? You’ll Lose Customers. It Hurts. But Don’t Let Them Become Angry Ex-Customers. 8 Things That Change When Your Company is Acquired. The 2 Things To Look For — At a Minimum — In Any First VP of Sales.

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Exclusive Talk: PLG in 2022 and Beyond


The SaaS space has evolved. Apps are now expected to provide a frictionless onboarding experience, with high doses of in-app freedom. Product-Led Growth (PLG) is spearheading this consumption shift. Despina Exadaktylou is one of the top PLG experts today, with her Product-Led Growth Hub inspiring thousands of product, growth and engineering professionals globally.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. Enterprises need a platform that can make broader AI teams more productive, implementing more complex use cases and harnessing the fast pace of new AI technologies.