VC Operator Bill Binch: Software Isn't Dead, It's Repricing

Mar 3, 2026 · The GTMnow Podcast
🎧 PodShort 52 min squeezed to 2 AI SprinklerAS Revenue Operations
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Bill Binch
Operating Partner at Battery Ventures
The GTMnow Podcast
52 min squeezed to 2
Full episode from The GTMnow Podcast
Quotable Moments

In this role, you're a passenger, and you might even be a back-seat passenger. I'm not the CRO, so I can come in and I can coach, but I can't make you.

Bill BinchOperating Partner at Battery Ventures
00:03

Software isn't dead, but it is going through a repricing exercise. And and this is where some of the meaningful disruption is actually happening, which is depending on where you sit in the stack of technology tools and the value that it drives for customers, I think there is a shift in the terminal value of your company or how much you're going to be able to charge.

Paul IrvingHost
06:47

Software spending is barely 1% of GDP. Knowledge work is over 50%. The SaaS is dead crowd is starting at a $300 billion market influx. In my opinion, they're missing the $50 trillion plus knowledge economy that it's about to eat into.

Paul IrvingHost
11:57
Key Insights
  • The transition from a CRO to an Operating Partner means moving from driving to being a passenger, where influencing and coaching replace direct operational control.
  • “Software is dead” is a misnomer; software is undergoing a repricing exercise due to shifts in value creation.
  • Value in software is increasingly accruing at either the "agentic" top layer (where direct business functions are automated and outcomes driven) or the "foundational" data layer, squeezing out the middle-layer interface tools.
  • For founders, defensibility of a business in the current market hinges on accumulating proprietary data, leveraging regulatory or structural barriers to entry, and establishing network effects.
  • Despite talk of a "SaaS is dead" market, the broader B2B technology demand has never been greater, driven by the huge untapped $50 trillion knowledge economy.
  • In-person interaction offers an unreplicable value in building effective teams and fostering learning, leading to better performance compared to fully remote setups.
  • The Operating Partner role requires adapting to qualitative metrics and observing patterns across a portfolio of companies rather than relying on a direct scorecard or immediate outcomes like a CRO role.
  • Being precise with business metrics (e.g., average sales cycle of "72 days" instead of "60-120 days") is crucial for instrumentalizing business operations and driving impact.
Metrics Mentioned
  • 29 years (Bill Binch's duration as a CRO on quota.)
  • 116 quarters (Bill Binch's duration on quota, equating to 29 years.)
  • 1% of GDP (Current software spending.)
  • 50% (Knowledge work as a percentage of GDP.)
  • $300 billion (Market flux for the 'SaaS is dead' crowd, indicating a smaller focus compared to the larger knowledge economy.)
  • $50 trillion+ (The size of the knowledge economy that technology is poised to impact.)
  • 50-70 reps (Number of sales reps at Outreach during an accidental sales experiment comparing in-person vs. remote.)
  • $1 million ARR company (Example company size Bill Binch might meet with in the morning as an operating partner.)
  • $100 million company (Example company size Bill Binch might meet with later in the day as an operating partner.)
  • 12:01 AM (Time the 'Mojo Metric' is run daily for pipeline updates.)
  • $100k (Example of a 'new deal' pipeline add for the Mojo Metric.)
  • $50k (Example of an 'expansion' deal pipeline add for the Mojo Metric.)
  • 125% of their number (What individual reps would need to achieve for the company to hit 100% of plan, based on Bill's calculation.)
  • 72 days (Precise average sales cycle, highlighted against imprecise ranges like '60-120 days'.)
  • $38k (Blended average sale price.)

RevBots.ai View:

  • AI Sprinkler stage sees AI bolted onto existing tools without full transformation.
  • ARM stage focuses on AI orchestration replacing legacy stack for defensibility.
  • SaaS Hoarder stage accumulates tools without integration, missing foundational data value.
  • Tab Hopper stage relies on manual processes, lacking precision in metrics.
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