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Sales & Revenue

10 September 2026

23 new posts across 4 go-to-market sources — 7 worth your time.

One week of Sales & Revenue, 7 stories, as published.

Compensation

ElevenLabs Went From $0 to $600M+ ARR in 41 Months. When the AI Agent Closes the Deal, They Still Pay the Human. With Carles Reina, First VP of Revenue

Carles Reina, ElevenLabs' first GTM hire, discusses how the company scaled from $0 to $600M+ ARR in 41 months. He shares insights on building their commercial organization and their approach to sales compensation when AI agents close deals.

Why it matters — Even when AI agents close enterprise deals, human reps are still paid, preserving sales incentives during automation.

SaaStr · 10 September 2026 · Read the original →

Benchmarks

Sales readiness platforms: Top options for 2026

This post highlights that only 34% of sales teams expect to meet or exceed quota according to HubSpot's State of Sales Report. It argues that adding disconnected tools fails to improve readiness unless training inputs are directly connected to sales outcomes.

Why it matters — With only 34% of sales reps expecting to hit quota, sales leaders must connect training inputs directly to outcomes rather than adding disconnected tools.

HubSpot Sales · 10 September 2026 · Read the original →

AI in GTM

Meet Our Agents: What All 20 Actually Do, What They Refuse to Do, and Every Place They’ve Failed Us

SaaStr details how they replaced departing sales team members with 20 to 30 AI agents, running the operation with only three humans. The post outlines what these agents do, where they failed, and why some were ultimately decommissioned.

Why it matters — Replacing departing sales reps with AI agents can sustain operations, but requires active management of agent failures and decommissioning underperforming bots.

SaaStr · 10 September 2026 · Read the original →

Practice

RevOps vs. Sales Ops: What's the difference?

Explains the operational differences between Sales Ops and RevOps. Sales Ops focuses on making the sales team more efficient, whereas RevOps aligns sales, marketing, and customer success to grow revenue across the entire customer lifecycle.

Why it matters — Sales Ops optimizes sales team efficiency, whereas RevOps must align sales, marketing, and customer success across the entire customer lifecycle.

HubSpot Sales · 10 September 2026 · Read the original →

Benchmarks

Is the 3x AI Productivity Gain just a Computer that Never Sleeps?

This post analyzes OpenAI's data behind the claimed 3x productivity gains from AI. It reveals that researchers logged 3.14 agent-workdays for every 8-hour human shift by running an average of four agents in parallel.

Why it matters — The 3x AI productivity gain is driven by running an average of four parallel agents to log 3.14 agent-workdays per 8-hour human shift.

Tomasz Tunguz · 10 September 2026 · Read the original →

Leadership

Founders Are Coming Back to Run Their Pre-AI B2B Companies. Because It’s The Last Stand.

Founders are returning to run their pre-AI B2B companies that have reached $50M+ ARR. These companies are stable enough to survive on their existing customer base but are failing to grow because they are too slow to adopt agentic workflows.

Why it matters — B2B SaaS companies at $50M+ ARR face growth stagnation if they are too slow to transition to agentic workflows.

SaaStr · 10 September 2026 · Read the original →

Pricing & Packaging

🧠 Community Wisdom: Building without clear PM requirements, selling a product before building it, pricing fast-moving B2B SaaS, a year of job hunting, and more

This community digest addresses tactical challenges in B2B SaaS, including strategies for pricing fast-moving software products and the mechanics of selling a product before it is fully built. It also covers navigating long job hunts and managing product development without clear requirements.

Why it matters — It provides actionable approaches to pricing rapidly evolving B2B SaaS products and validating market demand by selling before building.

Lenny's Newsletter · 10 September 2026 · Read the original →

At least the AI agents have already mastered the art of refusing to work.

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