Person
1 episodes · 26 quoted claims
Lindy launched Lindy Teammate, an AI employee that works inside a company's Slack and accumulates the team's shared context.
“I think, like, what we are releasing today is called Lindy teammate. It is an AI employee that lives in your slack, connects to all of your tools, accumulates your entire team's context.”
Lindy's memory agent runs roughly every fifteen minutes in the background to update shared and personal memory, rather than once a day.
“it runs every something like fifteen minutes, like why why would you need to sleep every twenty four hours?”
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”
Flo Crivello says the main bottleneck when Lindy crawls a company's Slack history is the Slack API rather than the language models.
“And actually, here, surprisingly, the bottleneck is not even the LLMs, it's the Slack API.”
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.”
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”
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.”
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.”
Lindy organizes nested context buckets in a tree where each node holds a hundred children, instead of the two used in a standard red-black tree.
“We went for a it's called a century tree. It's literally just each node's got a hundred nodes.”
Lindy backs its agent file system with Git to handle conflicts when multiple memory sub-agents edit files, and to keep a history of changes.
“The answer to that is Git, which by the way, also gives you history for free, which is which is awesome.”
Flo Crivello says Lindy works with Mesa, a vendor selling an agent-native file system backed by Git.
“We've been working with a Mesa, M E S A, they sell like uh an agent native file system that that's backed by Git”
Flo Crivello says Lindy uses E2B for its agent sandboxes.
“So we've we've gotten with the E two B for that.”
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.”
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”
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.”
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.”
Lindy has its agents include the weekday with dates and uses a simple regular-expression validator to catch the one-day date errors Flo says Claude models made.
“Okay, if you do that, then you can have a deterministic validator that checks whether the date of the week matches the the day, the data was submitted. And that's just a regular expression.”
Flo Crivello says Lindy's default model is currently DeepSeek for everything, though the company is reconsidering because Teammate needs more compute.
“Everything is DeepSeek right now. We are in the middle of reconsidering it”
Flo Crivello says DeepSeek Flash is roughly Sonnet 4.6 level and about a hundred times cheaper.
“Sonnet 4.6 is a really good level, a really good model for like most use cases. And it's literally a hundred x cheaper, you know?”
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.”
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.”
Flo Crivello cites a post by Dwarkesh saying Google's CEO Sundar Pichai earns about $150 million a year, as a hint of how much firms might pay for very good agents.
“Sundar at Google is paid $150 million a year, or something like that, you know?”
Flo Crivello describes Robin Hanson's book The Age of Em as imagining an economy of emulated human minds that can copy and split themselves.
“So for people who don't know what it's, what it is like, M stands for emulated mind.”
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”
Flo Crivello says that when he asks his own product about Tiananmen, the Chinese model refuses to answer, which he cites as evidence of censorship.
“When I talk to my own product and I'm asking it what happened in Tiananmen, it tells me, I'm sorry, I can't talk about that.”
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”