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Episode 3August 4, 202629 min

From 7 to 150 People

How Sean Griffith Scaled SimpleTexting and Now Ships Features Overnight with AI

Sean Griffith grew SimpleTexting from seven people to about 150 in under four years. He breaks down the hiring discipline behind it, why EOS was the biggest unlock, and the AI release pipeline his team at Truffle runs while everyone sleeps.

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Sean Griffith joined SimpleTexting at seven people and helped grow it to about 150 in under four years, through an acquisition, without a dedicated sales team for most of that run. He is now CEO and cofounder of Truffle, a candidate screening platform for small and mid sized businesses.

We cover what actually made that scale work, why EOS was the unlock at 50 people, and the overnight release pipeline his team runs now that would have taken three or four people a month before.

In this episode

  • Hiring conservatively and putting the cash into SEO instead of ad spend
  • Settling on an operating model at 40 to 50 people, then running it loosely on purpose
  • The overnight pipeline: product catalog, help center articles, customer email, and a feature video, all queued for approval in the morning
  • One front end developer turning a product brief into a shipped feature in a couple of days
  • Why Truffle surfaces signal and never makes the hire or pass decision
  • Assessments built so an AI assisted candidate cannot game them
  • Why they deliberately did not build an AI interviewer
  • The real cost of a founder reading resumes at 9 PM

Timestamps

  1. 00:00Meet Sean Griffith, CEO and cofounder of Truffle
  2. 01:17The problem that started it: 2,000 applications per role
  3. 03:18What it actually took to scale SimpleTexting
  4. 04:50Choosing an operating model at 40 to 50 people
  5. 06:06Scaling pre AI versus scaling with AI
  6. 07:21The overnight feature release pipeline
  7. 09:00Values, L10s, rocks, right person right seat
  8. 11:41Running EOS your own way instead of by the book
  9. 12:45What Truffle does
  10. 15:14Signal versus decision, keeping the human in the loop
  11. 16:42Where the line between human judgment and AI sits today
  12. 18:08Who Truffle fits and who it does not
  13. 19:17The real cost of screening resumes yourself
  14. 22:29One developer delivering a full feature from a brief
  15. 25:33What is next for Truffle
  16. 28:08Where to find Sean

Links

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