pbjs

210 posts

pbjs

@pbjhsu

Founder. Building AI for human connection. @XO_app

XO Katılım Aralık 2017

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pbjs@pbjhsu·4 Nis

A strong business model and real revenue are what carry you through bull and bear markets. In Q1, @XO_app launched 10+ A/B tests, tipping features, and social credentials — boosting ARPPU to $58.62 (up from $40). For comparison: Bumble’s ARPPU dropped to $20.58 from $22.64. Web3 > Web2.

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pbjs@pbjhsu·7 Nis

@emollick same in dating. nobody trusts 'the algorithm.' they trust someone who knows them. that gap is the whole product problem.

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Ethan Mollick@emollick·7 Nis

I suspect that popularity of AI is going to start looking like surveys where people trust their own doctors but are distrustful of the medical establishment People will increasingly like “their AI” but will increasingly be anxious about “AI” as a category. Some odd implications

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pbjs@pbjhsu·7 Nis

@emollick building AI that evaluates human compatibility forces you to pick a side. treat it as human-like → it mirrors human biases. treat it as alien → it catches patterns humans are too polite to name.

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Ethan Mollick@emollick·6 Nis

It is weird that you can approach LLMs as reasonable approximations of humans and get good results, but it is even weirder that you can approach agents as reasonable approximations of organizations (higher ability work is expensive so delegation is important, hand-offs have cost)

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pbjs@pbjhsu·6 Nis

@paulg dating apps have 500 data points on you and still can't find this person. turns out intellectual curiosity isn't a form field.

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Paul Graham@paulg·6 Nis

I know it's meant to seem an annoying habit, but I'd like it if I had a friend who was constantly teaching me random facts like Sheldon Cooper does.

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pbjs@pbjhsu·5 Nis

@emollick 44% more AI usage sounds right. but in dating apps, AI optimizing for engagement is the bug. more swipes, fewer actual connections.

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Ethan Mollick@emollick·4 Nis

Big deal paper here: field experiment on 515 startups, half shown case studies of how startups are successfully using AI. Those firms used AI 44% more, had 1.9x higher revenue, needed 39% less capital: 1) AI accelerates businesses 2) The challenge is understanding how to use it

Hyunjin Kim@hyunjinvkim

🚨 Excited to share a new working paper! 🚨 AI can improve individual tasks. But when does it improve firm performance? Our paper proposes one key friction firms face: the "mapping problem" -- discovering where and how AI creates value in a firm's production process. 🧵1/

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pbjs@pbjhsu·2 Nis

@emollick in dating this already happened. everyone has perfect profiles. still lonely. bottleneck was never the content.

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Ethan Mollick@emollick·1 Nis

A sign that human creativity is a bottleneck is that this year everyone can generate almost any image or video they can think of for nearly free and the April Fools posts are basically just as bad as any other year.

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pbjs@pbjhsu·1 Nis

@emollick built AI for human compatibility. the real gap isn't the model. nobody's defined what success looks like for human connection.

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Ethan Mollick@emollick·1 Nis

The AI labs have actually done a bad job explaining what the future they are building towards will actually look like for most of us. Even “Machines of Loving Grace” has very few well-articulated visions of what Anthropic hopes life will be like if they succeed at their goals.

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pbjs@pbjhsu·1 Nis

@emollick dating is the obvious test case. nobody's explaining what AI does to how people meet and connect. we just ship features and hope.

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pbjs@pbjhsu·1 Nis

@emollick same in dating. spent years on the matching algo. users churned at the first message screen. the bottleneck was never the model.

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Ethan Mollick@emollick·1 Nis

The biggest bottleneck in AI for most people isn't the models. It's the chatbot. New interfaces like Claude Dispatch, are closing the gap between what AI can do and what people can actually use it for. For many folks, that is where leaps will come from. open.substack.com/pub/oneusefult…

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pbjs@pbjhsu·30 Mar

every dating app is built on the assumption you'll need it again. that's not a bug, it's the product.

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pbjs@pbjhsu·29 Mar

AI made 'I'll build it' viable. 'people will actually use it' is still just optimism.

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pbjs@pbjhsu·28 Mar

@levelsio code in 24 minutes. still takes 24 months to figure out if anyone cares.

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@levelsio@levelsio·28 Mar

This took 24 minutes Back when I did 12 startups in 12 months in 2014, it took me at least a month to make a new startup and I didn't even finish it And they were in fact as basic as this kind of, because they were MVPs too! If 'd ship every day and I sleep 8 hours I have 24-8=16 hours * 60 minutes = 960 minutes per day. And it takes 24 minutes per startup with AI to build an MVP So theoretically you can build 40 ideas per day, and if you work 6 days a week that's 1,000 per month and about 12,000 per year So a decade later, you can now build 12,000 startups in 12 months

@levelsio@levelsio

✨ To prove my friend @StevieZollo (who's visiting me in Brazil) you don't need an idea, or even a lot of time these days to ship a little app that might make money I took the top idea from IdeasAI.com: "A startup that uses AI to generate personalized bedtime stories for kids based on their interests, family photos, and daily activities, delivered via a voice app. (❤️ 110 likes, 3 days ago)" So I copy pasted it into Claude Code and asked it to build it The first version of course didn't work, and I had to tell it some endpoints didn't work properly but then it fixed it The bedtime stories are generated by @xAI Grok 4.1, then sent to TTS with @GoogleAI Gemini and payment with @Stripe Checkout Total time from start to live: 24 minutes

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pbjs@pbjhsu·28 Mar

every dating app has an AI roadmap now. none of them have a 'why do people stop responding' roadmap.

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pbjs@pbjhsu·27 Mar

@sama stakes change how people use AI. dating apps never figured out how to make the stakes feel real.

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Sam Altman@sama·27 Mar

The coolest meeting I had this week with was Paul, who used ChatGPT and other LLMs to create an mRNA vaccine protocol to save his dog Rosie. It is amazing story. "The chat bots empowered me as an individual to act with the power of a research institute - planning, education, troubleshooting, compliance, and yes, real scientific design work in converting genomic data to a vaccine prescription and designing the treatment protocol around it. But they worked alongside humans at every step. The combination is what made it possible." It immediately got me thinking "this should be a company". Also, Paul is an extraordinary guy. This should be easy to do, but it is not yet.

Paul S. Conyngham@paul_conyngham

x.com/i/article/2036…

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pbjs@pbjhsu·27 Mar

the algorithm was 10% of it. the other 90% is human behavior you can't train away.

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pbjs@pbjhsu·26 Mar

everyone's racing to add AI to dating apps. nobody's asking what they'd need to remove.

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pbjs@pbjhsu·26 Mar

@paulg dating apps have fought fake profiles for a decade. nobody solved it. now it's everyone's problem.

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Paul Graham@paulg·25 Mar

I now get so many AI-generated replies that it's just too much work to report them for spam and block them, so I'm downshifting to muting.

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pbjs@pbjhsu·25 Mar

Repo (spec + OpenAPI + mock server): github.com/xo-protocol/da… Built by @XO_app — I run XO, a dating platform, and this is the first provider with a live API. Looking for feedback from agent builders.

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pbjs@pbjhsu·25 Mar

The name says "dating" but the state machine works for any bilateral trust escalation: - Professional networking - Marketplace negotiation - Gaming party formation - Support channel escalation

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pbjs@pbjhsu·25 Mar

AI agents can book flights, write code, and manage your calendar. But ask one to help you meet another person safely, and it has no idea what to do. I've been working on this problem. Here's what I found. 🧵

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Keşfet

@emollick @paulg @levelsio @elonmusk @BarackObama @taylorswift13 @cristiano @BillGates