2022
Flo Crivello says Lindy was started in 2022, which he now considers too early because agent tooling did not yet exist.
“We started this this company in 2022. And so it was it was in hindsight way too early.”
Topic
Flo Crivello
13 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2026
Flo Crivello says Lindy's initial hydration of a twenty-person team's tools and Slack history consumes about three to five million tokens.
“For a team of twenty, that's gonna tend to consume 5 million tokens at most, you know, three to 5 million tokens”
2026
Flo Crivello says Lindy's current prompt cache rate is 85%, which he considers lower than it should be.
“Our current cache rate is at 85%, which is is lower than it should be, frankly.”
2026
Flo Crivello says a drop in Lindy's cache rate from 85% to 65% roughly doubles its token costs.
“now your cache rate dips from 85% to 65%. And the gap between both, it sounds small, but actually it's a lot of two times the price”
2026
Flo Crivello says Lindy Teammate has put Lindy back into negative gross margin because users give it more complex tasks than the earlier assistant.
“With Lindy teammate, we're back at it and back into, frankly, negative gross margin territory.”
2026
Flo Crivello says Lindy's error rate fell eightfold within the first week of its self-improvement loop going live.
“it went down by eight times the error rate.”
2026
Flo Crivello says Lindy's internal pull requests per week, and lines per pull request, each tripled over three months.
“Our number of P Rs internally has, like P Rs per week has tripled over the last three months”
2026
Flo Crivello says Lindy's headcount has been flat while he estimates its productivity has tripled over a couple of months.
“The team is actually, I think headcount has been flat now for a while, and we've again, like I said, we've actually tripled our productivity over a couple of months.”
2026
Flo Crivello says Lindy's payroll still exceeds its internal AI inference spend, but he expects the two to cross within three to six months.
“So payroll is still greater, but the the lines are gonna cross three to six months from now.”
2026
Flo Crivello says re-optimizing Lindy's prompts with its GEPA-based loop costs about $10,000 each time a major new model is released.
“So it's like about like $10,000 every time like a new major model comes out.”
2026
Flo Crivello says that with unlimited resources he would train a LoRA, a small fine-tuned adapter, for each user as a way of storing memory in model weights.
“I think eventually, with infinite resources, what I would like to do is I would like to do a LoRA per user, because LoRAs are actually pretty cheap to train.”
2026
Flo Crivello argues that Chinese frontier model makers distill American models, which he says creates unfair competition.
“Or number one, they're obviously distilling. It's very clear. And so you're putting American open source model companies in an unfair competition”
2026
Flo Crivello says he favors creating a new agency, modeled on the FAA, to certify AI models, including sanitized or fine-tuned Chinese ones.
“I am in favor of like an F A A for for A I. I do think we need a new agency to regulate those models”
Episodes