Chaz Englander
CEO & Co-Founder, Model ML · 1 appearance on the record.
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founderexecutive@chaz_eng ↗LinkedIn ↗modelml.com ↗
Chaz Englander is the co-founder and CEO of Model ML, an AI workspace platform for financial services workflows. He previously co-founded the peer-to-peer rental marketplace Fat Llama and worked on the instant delivery startup Fancy.
0 supported 0 partly supported 1 contradicted 1 not yet assessed 7 not checkable as stated how the 9 claims stand · each chip opens the sources
9 assertions · 1 opinion · 9 insights · 4 disclosures · every statement was checked. The predictions and assertions are the 9 claims: statements the public record can support or contradict. 1 is resolved, 1 is not yet assessed, and 7 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Chaz argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Everything Chaz Englander said on A Product Market Fit Show that made the record, most notable first. Filter by type, assessment or year in the ledger →
Englander: Vibe coding is now ready for production software development
“I mean, a year ago, vibe coding was great for prototyping. I mean, now I think it's, like, great for production. So, in terms of MVPs, like, the concept of saying I don't have technical resources to build an MVP is just, like, not true.”
Englander: B2B founders will fail unless they work from design partners' offices
“If you've got a design partner that you're speaking to once a week, you're almost certainly gonna fail, right? If you've got a design partner that you are working from their office, and ideally sat next to them, you're almost certainly going to succeed.”
Englander: Foundation models are not an existential risk to vertical AI startups
“Our risk is, as I mentioned just then, is like, we may not have product market fit tomorrow morning. And that's not based on, like, OpenAI or Anthropical. It's just based on the speed that Verticalize application is shipping great products. So really, our only…”
Englander: Founders must always frame funding rounds as nearly completed
“It sounds obvious, but, like, I would advise, like, not to do that ever, right? In other words, like, no matter what, if you are raising, the round's pretty much already done. That's the narrative.”
Englander: Founders should set round targets to first check plus 20%
“That's what people should do is whatever their first check is in the round. Just say your total round is that plus like 20%.”
Englander: Having zero competition usually means there is no customer demand
“If you have no competition, and you've like never had any competition, it's like you still have no competition. You probably don't have anything that people want.”
Englander: Out-executing competitors is easier than finding a working concept
“It's way easier to execute better than it is to find a concept that works.”
Englander: Shipping and iteration speed is a startup's only competitive advantage
“Really your only tools, the speed at which you ship product and the speed at which you iterate, you know, that's really it. That's like kind of the only competitive advantage to be honest.”
Englander: ModelML worked a 997 schedule for their entire first year
“First year, we were nine, nine, seven. Whole year. Every waking hour, frankly.”
Englander: ModelML raised a $75M round despite spending almost nothing
“We've just raised big, random, We're at 75. We raised 15 before, and we basically spend no money, right?”
Englander: Product-market fit in AI is not static and can disappear overnight
“Product market fit is not necessarily static as well. I think particularly now in the AI world, you might have a PMF today, but you don't necessarily have it when you wake up.”
Englander: Fancy reached thousands of daily orders pre-COVID without marketing
“So we quickly got to like hundreds and then thousands of orders a day with no marketing, right? So it was purely, it was a referral-based Thing and sticky and just so different to the first company.”
Englander: ModelML rejects prospective customers spending less than $250,000 annually
“I mean, all the way to the extent now we, partly due to the demand, partly due to the way that our business model is evolving, you know, we don't really look at customers that are going to be spending any less than maybe a quarter of a million dollars a year w…”
Englander: Real product feedback is unprompted solo usage, not demos
“Real feedback is not when you are showing the user the product or what they can do. Real feedback is where they are using it, and ideally by themselves, right?”
Englander: ModelML grew from $5K to $100K monthly revenue in 3 months
“We went from about five K in monthly revenue To about a hundred K in three months. And then we kind of did that again in like the next three months.”
Englander: Fat Llama raised £1.1M across two rounds before Y Combinator
“I'd say that one of the things that we don't talk about enough was like, you know, between starting and getting on YC, we raised the million pounds and that was like straight scrappiness. I remember we actually raised two rounds, a 100,000 pound round, and the…”
Englander: 90% of Fat Llama's early capital came from secondary intros
“Probably only five, 10% of that came direct from those LinkedIn messages I was sending. The other 90% was indirectly, almost entirely through that, right? Because, you know, at the end of the day, if you're meeting one person, you're not meeting just them. You…”
Englander: Fat Llama fixed unit economics a year after $12M Series A
“We got on YC, raised a twelve million dollar Series A. Pretty quickly after that, but it took us a good year or so after our series A for the unique economics to add up”
Englander: Fat Llama was doing just under $1M monthly GMV at acquisition
“I think when we sold it was about, I might be speaking out of turn here, just under a million a month in GMB, like there or thereabouts.”
Englander: Fat Llama spent over $500K on a collapsed SPAC listing
“We spent over half a million in legal fees, and, you know, nine months of work, you know, me in the middle of the night, all the time with my laptop on my knees, two, three weeks before Christmas, the whole thing just fell out of bed.”
Englander: Fancy's founders personally completed its first 1,400 deliveries
“The team is in the founding team did the first like 1400 deliveries.”
Englander: Fancy expanded from 0 to 15 UK cities in six months
“We went from zero cities to I think 15 cities in about six months.”
Englander: Family office broke even and made no net money
“If you're asking whether we made money doing it, no. On balance, no. But we didn't lose money. I, but we did make some money on some things. And then we did do some great investments and a couple of things. But generally speaking, like we weren't making any mo…”
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| How I grew my AI startup to $3M ARR in 3 months. | Chaz Englander, Founder of ModelML · PM | Feb 12, 2026 | 37m |