In part 2 of this episode, Mark Roberge, Co-founder of Stage 2 Capital, former CRO of HubSpot, Harvard Business School professor, investor, and author of The Science of Scaling, joins Paid’s Manny Medina to break down the real mechanics of scaling in an AI-fueled market.

They delve into execution, exploring how to decide when to accelerate, when to hold, and when to slam on the brakes. Mark also shares the Stay / Go / Slow model, founder versus VC misalignment, AI bubble dynamics, business model innovation, and why retention should be slide one in every board deck.

“I have a beautiful hack for you called the stay or go or slow model.”

The Anti-Annual Plan

Mark challenges one of the most sacred startup rituals: the annual plan.

“It’s so stupid that we build these annual plans when you're a $2,000,000 business and we abide by them like they’re scripture.”

Instead of blindly chasing a 2-to-20 growth promise, Mark proposes a quarterly decision framework agreed upon in advance with the board. After each quarter, you evaluate three signals:

Demand generation for health
Conversion performance
Leading indicator of retention

If all three are green, you accelerate.

If any are yellow, you hold the pace.

If any are red, you stop pouring gas and fix the system.

Most Founders Are Scaling at the Wrong Pace

According to Mark, roughly:

45% are going too slow
45% are going too fast
Only 10% are at the right pace.

Going too slow means the window closes. Going too fast means burn outpaces signal.

“If you burned a billion dollars this year and you’re not OpenAI, that’s probably too much.”

But burning a dollar is too little. The real skill is calibrating scale risk to context. A high-moat airport software company does not scale like Cursor or Day AI. Winner-take-most markets require aggression. Most-driven markets reward discipline.

New Logos Should Not Be Slide One

In today’s AI wave, Mark sees a dangerous pattern:

Pilot revenue labeled as ARR.
Experimental deployments treated as durable revenue.
Boards are obsessed with new logos.

“The first slide in your board deck should be your leading indicator of retention.”

Customer success must be a first-class citizen metric. Not logo count. Not headline ARR. Retention-leading indicators signal real value creation. Everything else is noise.

Are We in an AI Bubble?

Mark’s answer: yes. Signs of a classic bubble include:

Extreme valuation multiples
Extraordinary burn ratios
Overcapitalized first movers
‘Vibe revenue’ that looks sticky until renewals hit

On first mover advantage, Mark cites the broader pattern: fast followers win more often than first movers. The first mover wins roughly 35% of the time. The fast follower wins closer to 65%.

“I think the last two-year cohort will see the highest failure rate in startup history.”

At the same time, the breakout winners could define a generation.

Founder vs. VC Incentives

VCs have 20 bets. Founders have one.

Investors optimize for outliers. Founders optimize for life-changing outcomes. Some investors would rather see a company fail fast than grow steadily at 60% for six years and sell for $700M.

That tension fuels overscaling and unnecessary risk.

Business Model Risk Is the Startup’s Advantage

AI is forcing a rethink of monetization.

Per-seat pricing made sense in traditional SaaS. AI automates work. It compresses seats. The safe play is per-module. The bold play may be consumption or outcomes-based pricing.

Startups have an advantage: they can take business model risk. Incumbents can’t. Sales compensation plans, revenue expectations, and public market pressures trap incumbents in legacy structures.

Today’s Value Prop Won’t Win Tomorrow

One of the most strategic insights of the episode: the product printing money today will likely not be the long-term moat.

Mark references Amazon’s early focus on books as a wedge. Design big. Start small. Print money in phase one while building infrastructure for phase two.

If you build the future too early, the market isn’t ready. If you only optimize for what sells today, you lose the long game.

Companies Mentioned

HubSpot
OpenAI
Amazon
Slack
Notion
Cursor
Day AI
Siebel
ServiceNow
Harvard Business School

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