Wesley Tian
Former CEO & Co-Founder, Aragon AI · 1 appearance on the record.
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Wesley Tian is a founder and former CEO of Aragon AI, an AI headshot generator app. He bootstrapped the company from zero to $10M ARR in two years without outside funding.
30statements → 15claims → 3claims resolved → 67%fully supported → 3.9/5average certainty → 1.6/5average debate potential →
2 supported 0 partly supported 1 contradicted 12 not checkable as stated how the 15 claims stand · each chip opens the sources
1 prediction · 14 assertions · 1 opinion · 2 insights · 12 disclosures · every statement was checked. The prediction and assertions are the 15 claims: statements the public record can support or contradict. 3 are resolved, and 12 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 Wesley argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Their most notable supported claim
Early Stable Diffusion models primarily worked well on white people
“It only worked for, like, I think, like, certain ethnicities, like, because the model, like, say with Fusion was, like, trained, like, it wasn't trained on a very comprehensive data set. So maybe like only working on like white people. Right. And so like for e…”
Their most notable contradicted claim
Google search rankings incorporate brand mentions on Reddit and Team Blind
“Google does actually look at these things. Like they don't actually just look at backlinks. They also look at mentions. And so Team Blind and, you know, Reddit, they actually have pretty high authority scores, like the highest, right? Because they've been arou…”
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
Everything Wesley Tian said on A Product Market Fit Show that made the record, most notable first. Filter by type, assessment or year in the ledger →
Tian posted fake success stories on Reddit to acquire early users
“I basically, like, went on Reddit, and I had this idea to, like, pretend I got a date by using Eragon to create photos for my dating app. So I went out to slash r slash Tinder, and I was like, Hey guys, I used Aragon to, like, create these pictures of me, and,…”
Tian predicts all AI headshot tools will reach 99% quality within a year
“I think maybe in a year, like, we'll all get to, like, sort of, like, 99%, right? And so, I do think there's a bar, and I do think brand and distribution plays a big difference.”
Early Stable Diffusion models primarily worked well on white people
“It only worked for, like, I think, like, certain ethnicities, like, because the model, like, say with Fusion was, like, trained, like, it wasn't trained on a very comprehensive data set. So maybe like only working on like white people. Right. And so like for e…”
Wesley Tian says Canva's AI headshot product is 'terrible'
“And Canva's product is terrible, by the way. They have a free product, but it takes a few seconds, but the output doesn't even look like you.”
Aragon claimed thousands of users on its site before acquiring them
“Early on, like you know, I think a lot of companies do this, but like, we didn't have that many users, but we still put, like, used by thousands of people. And by doing that, we actually got to thousands of people.”
Tian claims Neo accelerator offers 2x better terms than Y Combinator
“NIO has like around two X better terms and it's like a tighter neck community, so it's like, it's only 20 20 startups per batch versus YC, I think it was like a 200 something.”
$100M businesses can be built on commoditized, non-recurring products
“I mean, you can build a hundred million dollar business just selling t-shirts, right? Like, which is like a completely commoditized product.”
Tian advises first-time founders to build a SaaS or GPT wrapper
“The other one, which I recommend for first-time founders, it's just like, build a SaaS, you know, build a GPT wrapper you know, have a great landing page, you know, try to do everything you can to drive traffic.”
Aragon.ai grew to $10M revenue in two years
“We launched in, Like, I guess, our product in February, 23, and it's 25 February now, so two years from zero to 10 mil.”
A single affiliate blog post drove over 50% of Aragon's revenue
“That one post. That was generating, like, 50% plus of our revenue at one point.”
Aragon grew from $2K to $180K monthly revenue in four months
“February is three K, March is two K April is actually 25 K, May was 50 K, July was one 80 K. So, it basically just like, you know, like, just you know, I think it was like, what, 10 X'd, and then two X'd until we around, like, two million annual run rate.”
Aragon reached a $10M revenue run rate in Q1 2025
“Q one, we jumped to around like so beginning of the year is actually quite good. We were actually at around seven to eight million like run rate. So making around, I don't know how much is that like per month, like 500 K. And then it dipped to like around like…”
Aragon.ai generates over seven figures in profit
“We don't like to share our profits. But it's over seven figures.”
Google search rankings incorporate brand mentions on Reddit and Team Blind
“Google does actually look at these things. Like they don't actually just look at backlinks. They also look at mentions. And so Team Blind and, you know, Reddit, they actually have pretty high authority scores, like the highest, right? Because they've been arou…”
Aragon scaled without backlink building, SEO keywords, or blog posts
“We didn't really source backlinks ourselves. We didn't really even understand this concept of backlinks. We didn't do any keyword stuff. We didn't have any blogs. It was just a landing page that people liked and that people like people converted.”
Y Combinator initially rejected Tian's first AI image generator idea
“We applied to YC with it, and, like, they weren't a fan. They were, like well, actually, we applied with the idea. And then they were like, how quickly can you build it? And then we built it in a few days but they still didn't accept us. They accepted us later…”
Aragon got early signups via a viral incentive tweet
“I tweeted basically just like, hey, you know, building in public, check this out. I took some screenshots of my website. You know, if you, like, or, you know, retweet, or engage with this tweet, then, you know, I'll give you, like, 50 free credits, right? And …”
Over half of early Aragon users selected only professional headshots
“Over 50% of people only chose a professional headshot pack. And so, like, not only did they not choose other, like, you get four packs, right, for 40 dollars, but they only chose a professional headshot pack”
Early Aragon users often got zero usable photos out of 250
“I think for a long time, most users would actually not get a single photo, like, out of, like, 250 photos that they could use. Like, it was that bad. Like, everything was off. Like, there'd be, like, three hands, there'd be, like, two heads, four heads, like, …”
Aragon eliminated all non-headshot AI packs to focus entirely on headshots
“It was like, yeah, 10 X cost saving, 10 X time saving, might as well just take the bet, and so we, like, completely scrapped out all the other packs, all the other tools, and our landing page was just, like, a normal landing page, like, you know, CTA, hero sec…”
Several early AI image startups asked Aragon to acquire them
“But we've probably gotten, like you know, like, five to 10 companies reached out to us, like, asking us to buy them.”
Aragon paid over $100K in commissions to one affiliate blog
“We've paid out over a 100,000 dollars to that blog You know, site at this point through, through, through, through like affiliate commission.”
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| 1st-time founder grows AI headshot app from $0 to $10M ARR in 2 years—with no funding. | W | Apr 24, 2025 | 41m |