SaaStr 843: Software Stocks Have Massively Crashed. Here's What Founders Need to Know.

What It Covers

SaaStr founder Jason Lemkin delivers a frank assessment of the post-crash SaaS landscape, covering why PE has abandoned mid-market B2B software, how AI agents are replacing sales teams, why vibe coding is flooding markets with clones, and what revenue acceleration actually proves an AI strategy is working.

Key Questions Answered

• •AI Legitimacy Test: The single metric that separates genuine AI companies from performative ones is whether growth has reaccelerated. Citing Meta and MongoDB as examples, Lemkin argues that building agents or adding AI features means nothing without measurable revenue lift. Founders who have not shown acceleration after two full years have run out of excuses.
• •Sales Team Compression via Agents: SaaStr reduced its sales team from eight people to one by deploying AgentForce for reactivation campaigns targeting lapsed sponsors. The agent achieved a 70% open rate, closed a $100K deal on a Saturday night, and follows up on contacts where human reps had quit. Running four parallel agent vendors simultaneously is currently viable.
• •PE Exit Market Has Collapsed: Private equity firms including Thoma Bravo and Vista are no longer acquiring B2B SaaS companies at $50M–$200M ARR unless they show AI-driven growth. Companies that reached profitability without reaccelerating are not considered acquisition targets. The previous playbook of selling at five-to-ten times revenue for efficient growers is effectively dead in 2026.
• •GEO Over SEO for Vendor Discovery: When developers build inside Replit or Lovable, they ask the agent which tools to use rather than searching Google. Lemkin tested this directly and received HubSpot as the CRM recommendation. Vendors like Resend and WorkOS gained significant market share purely because AI coding agents defaulted to recommending them during app builds.
• •Niche AI Pricing Expansion: The investment thesis for vertical AI software hinges on whether agents enable five-to-ten times price increases versus pre-AI equivalents. Lemkin cites AI SDR tools like Artisan and Clay charging $100K where legacy tools like SalesLoft struggled to reach that figure. Mango Mint, software for spas and salons, achieved this by automating back-office roles entirely.