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Eoghan McCabe

Intercom

8 debates 8 evidence cards 1 episode
AI Does AI fundamentally change how product teams should build, measure, and ship?

"AI doesn't just change how you build — it requires wartime transformation of the entire company"

AI What creates a durable moat for AI products?

"The moat for AI products is the combination of domain data, customer relationships, and willingness to cannibalize yourself"

AI Should AI tools be copilots or autonomous agents?

"Agents are the future — Fin (Intercom's AI agent) will pass $100M ARR in under 3 quarters"

Leadership Should founders stay deeply hands-on in product decisions, or delegate to trusted executives?

"When existential threats demand transformation, founder mode is not optional -- it's the only path. The professional CEO approach of consensus and spreadsheets will kill you. Someone has to make brave hard decisions and own the results."

AI Should companies radically restructure for AI or integrate incrementally?

"Go full wartime — rewrite values, turn over 40% of staff if needed"

Pricing Should AI products use seat-based, usage-based, or outcome-based pricing?

"Resolution-based pricing aligns incentives perfectly — Intercom's Fin proves it works at scale"

AI Should AI products ship fast or invest in reliability first?

"Speed is everything — six weeks from GPT-3.5 to working prototype"

General Is work-life balance compatible with startup success?

"Wartime intensity is necessary but has real costs — McCabe himself was sick for years"

Intercom

Fin went from GPT-3.5 prototype to $100M ARR trajectory in under two years

Intercom rewrote company values specifically to enable AI transformation — values as organizational surgery

Intercom

Intercom Fin: from $0 to $100M ARR in under 2 years, winning every head-to-head bake-off

Beta version of Fin built 6 weeks after GPT-3.5 launch

Intercom

Fin: $100M ARR trajectory in <3 quarters, 300%+ YoY growth, #1 by customer count, revenue, and benchmarks

Early Fin economics: $0.99 revenue vs. $1.20 cost per resolution -- a deliberate bet on declining inference costs

Intercom

Intercom was approaching $0 net new ARR when McCabe returned to hands-on leadership

He abandoned $80M ARR in non-service business lines to focus entirely on customer service

Intercom

Fin grew from $1M to $12M ARR in year one, now growing north of 300%, on track to pass $100M ARR

Intercom had a beta of Fin six weeks after GPT-3.5 launched — only possible because they already had an AI engineering team doing rudimentary ML for customer service Q&A

Intercom

At launch, each resolution cost 120 cents but McCabe bet costs would drop -- they did

Intercom Fin charges 99 cents per resolved customer support ticket, on track to exceed $100M ARR in under three quarters

Intercom

Intercom building a working Fin prototype in six weeks after GPT-3.5 launched

Early Fin economics where each 99-cent resolution cost 120 cents, with conviction that costs would drop

Intercom

Intercom faced five consecutive quarters of declining net new ARR and was approaching $0 net new ARR before McCabe's...

Intercom faced five consecutive quarters of declining net new ARR and was approaching $0 net new ARR before McCabe's return

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