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Charley Ma

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@CharleyMa

Startup builder and investor.

First biz / head of growth @tryramp, @Plaid, @usealloy. Former cofounder+GP Pathlight Ventures
charleyma.com Joined January 2009
1.9K Following 18K Followers 9.1K Posts

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Charley Ma Verified account @CharleyMa
Everything is fintech??

Fintech’s defining risk was that a few bad customers could sink the company. SaaS never had that; abuse was bounded by the product.

Inference cost removes the bound and now anyone that offers inference in their product has to build a fraud stack! Excited to see the next generation of fraud companies + evolution of existing providers to tackle this.
claire vo 🖤 Verified account @clairevo 1d
Vulnerable post: I spend 90% of my time on @chatprd dealing with increasingly creative international token fraud operations, and it makes me want to shut down the company. Mostly to steal Opus tokens on resold promo codes or in the time between a trial start + our fraud alerts infra.

It's cost me tens of thousands of dollars and it gets worse every day. Luckily the company is nice and profitable, but every time it happens it bums me out in extreme ways.

I love ChatPRD, I think at this point we've helped PM, engineers, and founders with millions of products + features. We are still a top 3 writing GPT (completely free!) on ChatGPT, we've kept generous trial periods, and have kept annual sub costs super reasonable, even for the enterprise. We've let people use the latest models when they come out, and have built in new features like prototyping without adding to our fees. We haven't had to limit usage, because our customers have been so great.

Building the product is incredibly fun, it's an actual footprint by which I get to test all this AI stuff, as an engineer, founder, and product builder. I have my little grok bot army that runs ops. We've been pen tested multiple times, SOC2ed, and work with some of the biggest companies out there.

It's my labor of love, and I keep it going (even though there are probably higher leverage things I could be doing with my time.)

But it's horrible to have our small team spend basically all of our time shutting down that Indonesian fraud ring, or that Egyptian code farm, or the Chinese signups that have been on an auto loop for the last 24 hours. I feel like I'm constantly making product calls that trade protecting from abuse vs giving our users an amazing experience (and keeping maintenance overhead low.)

It's basically sucked the joy out of my first little AI win, and I'm really sad about it.

And before you bucket me into dumb-little-vibecoder, trust that I know what I'm doing. I run our firewall like it's my full time job. We are stripe radar'd up to the gills. We have rate limits + so many automated triggers and controls.

But each one of these things ends up touching legitimate users and prospects. And every time I rachet up one control, I end up causing annoyance or pain to a real user. It's a trade that's hard to manage.

And honestly? It's not fun.
It just feels bad to see so many bad people.

So I have some thinking to do, but for now
- free trials are dead on chatprd, sorry kids
- i think in 2027 i might ban all non-US business
- and tbh, may retreat to the warm waters of 100% enterprise business, who are a) willing to pay more and b) have more interesting product needs

And if you're a little solo founder or startup that has dealt with this - I see you. I have some tips + tricks that might help. You're not dumb, and it's not easy.

Ok. Rant over.

Back to building the little wrapper who could 💕
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Charley Ma Verified account @CharleyMa
I’ve been back out exploring new spaces, and one thing keeps standing out to me: in this AI era, the gap between startups and incumbents is the widest I’ve seen in 10+ years of building.

Most incumbents are stuck because of their own success. They’re tied to a growth rate, a quarterly number and an org chart of thousands. It’s extremely hard to tear all that down and rebuild the company to be fully AI-pilled.

Meanwhile, founders can build their product, internal infrastructure AND org chart around agents from day 0.

In the last generation, the main way to scale was headcount, and everyone accepted diminishing returns on each new hire. Every new person added coordination overhead: another manager, another standing meeting, another sign-off before anything ships. Headcount was thrust, but every hire also raised the org’s drag coefficient.

AI flips that equation. The best founders now get more output from each new hire (and each internal agent they build), not less.

Which leads to a take I never thought I’d have: raising a big seed round is actually… rational??

For years my advice to founders was to raise as little as possible, because constraint breeds creativity and scrappiness. I still believe in constraint, but it's just shifted much more over to the the talent bar.

AI activates the mythical 100X IC in every position (not just engineering!) and that's why talent has become so competitive and expensive. There still aren’t many people who can truly get that kind of leverage out of AI, and the ROI on hiring one of those is obvious.

I’m equal parts excited and nervous to see where this all goes - while we're definitely in a bubble, it's also been the most exciting time to be technically dangerous as a non-engineer and I continue to believe that there's still massive opportunity to distribute the power of AI to the world. Meanwhile, I'm still working on continuing to get myself more AI-pilled :)
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