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