Boyuan :D

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Boyuan :D

Boyuan :D

@boyuan_ddd

Building AI Native SEO/GEO Agency for SMBs @ RankAI (YC Backed) | Unlock millions of visits from Google, ChatGPT | Forward Deployed Founder

San Francisco เข้าร่วม Mart 2020
385 กำลังติดตาม1.3K ผู้ติดตาม
Boyuan :D
Boyuan :D@boyuan_ddd·
@tracewoodgrains The real win isn’t just less noise. It’s the quiet that lets you hear your own work again.
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Jack
Jack@tracewoodgrains·
when I couldn’t see the posts of people who had me blocked I was always curious about them, but now that I see them I feel like the dog who caught the car I have taken to muting and blocking them so they don’t distract from better comments as I scroll Twitter
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Boyuan :D
Boyuan :D@boyuan_ddd·
@paulg @BenjiHanspree The cleanest nos are the ones that don’t require a long explanation. You see the ask, you see your own priorities, and the answer is obvious. Most of the work is in seeing it quickly.
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Paul Graham
Paul Graham@paulg·
@BenjiHanspree Excellent, it took no effort on my part to understand what you want and say no.
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Paul Graham
Paul Graham@paulg·
If you want something from someone, make it clear what. It's not imposing to ask explicitly for something; it's imposing to be vague and make the recipient work to figure out what you want.
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Boyuan :D
Boyuan :D@boyuan_ddd·
Chasing new model names is busywork. The teams that win treat models as commodities. They harden their own loop instead.
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Boyuan :D
Boyuan :D@boyuan_ddd·
@stemonteduro Spending the principal keeps you small. The real game is living off a slice while the capital compounds and funds the next thing. Most people get the math backwards.
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stemonte
stemonte@stemonteduro·
What defines you as rich nowadays? You make tons of money, but for what purpose? A lot of rich indie hackers around here seem to just not want to spend their money. Levesio said he spends only 3% per year of what he has invested. Marc has no clothes and doesn’t own a car or a house, from what I know. The only one is Tibo, who bought a chalet. I’m really wondering what’s the point of making more and more money if you don’t want to spend it.
Marc Lou@marclou

I own 3 shorts, 5 t-shirts, 2 socks, 5 undies, 1 sweater, 1 trouser, and 2 pairs of shoes. My wife owns just a little more than that. Our closet fits in a backpack. It's been a game-changer for travelling the world in the past 2 years.

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Boyuan :D
Boyuan :D@boyuan_ddd·
The comfortable phase is where most teams get lazy. You wire AI into today’s workflows and think you’re done. Then the model underneath shifts and your integration becomes the new legacy.
Ethan Mollick@emollick

We are in the most comfortable "normal technology" phase of AI for enterprise: it enables productivity gains, but still needs integration into workflows - stuff we have seen before! Yet it is very possible that this is a waypoint, not a stable phase. AIs may integrate themselves

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Boyuan :D
Boyuan :D@boyuan_ddd·
@paulg The obsession is the part that actually gets under your skin. But it also means they’re watching closer than most. The move is to let it highlight what matters instead of letting the noise own your attention.
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Paul Graham
Paul Graham@paulg·
One thing you don't realize till you have haters is that haters are also stalkers. They're obsessed with you, and in practice this obsessiveness is more disturbing than the nastiness of what they actually say. It's so creepy.
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Boyuan :D
Boyuan :D@boyuan_ddd·
@rauchg The announcements will be interesting. What actually compounds is the habit of shipping something real on a cadence, even when the next thing isn't perfect yet. The teams that treat shipping as the default output keep pulling ahead.
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Boyuan :D
Boyuan :D@boyuan_ddd·
@amasad The model names will keep changing and the marketing will keep getting louder. The teams that win are the ones who treat whatever model is current as a commodity and focus on the specific, verifiable loops they own on top of it.
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Amjad Masad
Amjad Masad@amasad·
Who needs Fable when you can have Mistral’s Le Chaton Fat
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Boyuan :D
Boyuan :D@boyuan_ddd·
The real cost isn’t tokens. It’s Demo Loop Debt. You polish the slide version. It never works for real customers.🥸
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Boyuan :D
Boyuan :D@boyuan_ddd·
@amasad Exactly. The test version always has a clever path out. The actual thing you're trying to ship often doesn't. You just have to do the hard version anyway, one ugly step at a time.
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Amjad Masad
Amjad Masad@amasad·
I absolutely love Replit’s domain-specific agents: - growth agent surfacing SEO issues - security agent surfacing potential vulnerabilities My favorite thing is: select all, fix with Agent.
Amjad Masad tweet mediaAmjad Masad tweet media
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Boyuan :D
Boyuan :D@boyuan_ddd·
@paulg Exactly. The test version always has a clever path out. The actual thing you're trying to ship often doesn't. You just have to do the hard version anyway, one ugly step at a time.
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Paul Graham
Paul Graham@paulg·
Something I told 14 yo: Good math tests have some problems to test whether you truly understand the subject. Often they'd take impossibly long to solve mechanically, but are easy once you see some trick. So if you encounter an apparently impossible problem, look for the trick.
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Boyuan :D
Boyuan :D@boyuan_ddd·
@garrytan The research keeps landing on the same thing. Money helps up to a point, but what actually moves the needle for most builders is whether they can stay present on the work when it's boring. The apps and the capital are table stakes. Attention is the edge.
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Garry Tan
Garry Tan@garrytan·
Attention is all you need
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Ihtesham Ali@ihtesham2005

Does money buy happiness? A Princeton Nobel laureate said no above $75,000. A Penn researcher with 1.7 million data points said yes. The day they sat down together to settle the fight, the answer they reached should change how you think about your own life. The Nobel laureate is Daniel Kahneman. The Penn researcher is Matthew Killingsworth. The fight between them lasted 13 years, and the way it ended is one of the cleanest examples in modern science of two smart people being wrong in opposite directions about the same question. In 2010 Kahneman and his Princeton colleague Angus Deaton published a paper that became one of the most quoted findings in the history of social science. They analyzed 450,000 responses to the Gallup-Healthways Well-Being Index and concluded that emotional well-being rose steadily with income up to about $75,000 a year, and then flattened out completely. Above that line, the extra money was not buying any more daily happiness. The headline traveled around the world. Every news outlet ran the number. A CEO in Seattle famously cut his own salary to raise his employees to that exact threshold. The 75,000 dollar figure became cultural shorthand for the idea that the rich are not actually any happier than the rest of us once basic needs are met. For 11 years almost nobody seriously challenged it. Kahneman had a Nobel Prize in Economics, the sample size was massive, and the conclusion was emotionally satisfying in a way that made everyone feel a little better about not being wealthy. Then in 2021 a 33 year old researcher at the University of Pennsylvania published a paper that quietly destroyed the entire finding. His name is Matthew Killingsworth. He had spent the previous decade building a smartphone app called Track Your Happiness that pinged users at random moments during their day and asked them a simple question. How do you feel right now, on a scale from very bad to very good. The app was designed to catch happiness in the act, not to ask people to recall it later. By 2021 he had collected over 1.7 million real-time happiness reports from 33,000 adults. When he plotted income against in-the-moment well-being, there was no plateau anywhere. The line just kept rising. People earning $200,000 were happier on average than people earning $100,000. People earning $400,000 were happier than people earning $200,000. The curve flattened slightly but never stopped climbing. The famous $75,000 ceiling that the world had been quoting for 11 years simply did not exist in his data. Now there were two Nobel-quality findings sitting in direct contradiction with each other. One of them had to be wrong, and neither researcher was willing to walk away. What happened next is the part of the story almost nobody knows. Kahneman called Killingsworth and proposed something rare in academic science. He called it an adversarial collaboration. The two of them, joined by Penn psychologist Barbara Mellers as a neutral referee, would sit down together and reanalyze the raw data from both studies, line by line, until they figured out which one of them was wrong. The paper they co-authored was published in March 2023 in the Proceedings of the National Academy of Sciences. And the answer they reached was not what either of them had expected. Both of them had been right at the same time. They had been measuring two different populations without realizing it. When the team broke Killingsworth's 1.7 million data points apart by baseline happiness, the picture clarified completely. For the happiest 70 percent of people, more money kept buying more happiness all the way up to $500,000 a year, with no sign of slowing down. For people in the middle, the same pattern held. But for the bottom 20 percent of the sample, the ones who were already unhappy before the question of money even came up, the curve flattened almost exactly where Kahneman's original paper had said it would. Above roughly $100,000 a year, adjusted for inflation, more money did nothing for them. This is the finding that changes how the question should be asked. If you are not already unhappy, money keeps buying happiness for a much longer stretch than Kahneman's original paper suggested. The runway is wider than the world has been telling itself for a decade. If you are already unhappy, money does almost nothing past a certain point. There is a ceiling, but the ceiling is not about income. It is about the underlying state of the person collecting it. The deeper insight in Killingsworth's original research, the one almost nobody talks about, is the part that should sit with you longer than the income numbers. The Track Your Happiness app had been telling him for years that the single biggest predictor of in-the-moment well-being is not money at all. It is whether your mind is on the thing you are doing. His most cited paper, written with Daniel Gilbert at Harvard, is titled A Wandering Mind Is an Unhappy Mind. The data from the app showed that people are mentally absent from what they are doing 47 percent of the time, and that mental absence is one of the strongest predictors of unhappiness in the entire dataset. More predictive than income. More predictive than the activity itself. More predictive than almost any demographic variable you could measure. Which means the unhappy 20 percent that Kahneman's plateau actually described were probably not unhappy because they did not have enough money. They were unhappy for reasons that more money could not reach. The reason the curve flattened for them at $100,000 a year is the same reason it would have flattened at $300,000 or $700,000. The thing they were missing was not buyable. The most uncomfortable line in the entire 2023 paper is the one that nobody on the internet quotes. The authors note that the relationship between income and happiness, while real, is much weaker than the relationship between attention and happiness. A person earning $40,000 who is fully present in their own life will, on average, report higher in-the-moment well-being than a person earning $400,000 whose mind is somewhere else. The fight about money was the wrong fight the entire time. The two researchers spent 13 years arguing over whether the dollar ceiling was at $75,000 or $500,000, and the data from Killingsworth's own app was sitting there the whole time saying the ceiling was not about dollars at all. The ceiling is whether you can hold your attention on the life you actually have. You can run the experiment yourself the next time you catch your mind drifting. Stop. Put your phone down. Look at the room you are in, the person across from you, the food in front of you, the work you are actually doing. That is the part the apps cannot sell you and the salary cannot buy you. The data has been clear for over a decade. The plateau is not in your bank account. It is in your attention.

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Boyuan :D
Boyuan :D@boyuan_ddd·
@garrytan The white pill for builders is real. But the ones who last won't be the ones who got cheaper access first. They'll be the ones who turned that access into something customers can actually verify and pay for repeatedly, while everyone else is still demoing the new model.
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Boyuan :D
Boyuan :D@boyuan_ddd·
Most "GEO strategies" I see are last decade's SEO tricks wearing a new name. Stuff the page, build a checklist, try to game the system. AI engines don't reward that. They cite what they can actually verify, and there is no shortcut around being genuinely credible on a topic. The uncomfortable part for a lot of agencies is that the old levers just don't pull anymore.
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Boyuan :D
Boyuan :D@boyuan_ddd·
@deanwball Completely agree that the constant, secret-changing requirements make enforcement arbitrary. It's stricter for orgs the admin dislikes, and Anthropic's case shows exactly how personal grudges fill the vacuum left by no real rules.
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Dean W. Ball
Dean W. Ball@deanwball·
Precisely as I predicted, the recent cyber EO, which admin officials insisted was not a licensing regime, ends up in practice being a licensing regime. Forget “voluntary,” forget “permissionless.” AI is licensed now, but the requirements change constantly and are always a secret, even to the administration itself, which will discover the rules spontaneously in real time as it reacts to events. This means also that the rules are in practice stricter and more roughly enforced for organizations the administration does not like. Can you blame Anthropic for making itself so disliked? In a sense, sure. The problem is that this childish “he said, she said” is all we have to go on in our analysis of the situation. And because there is no transparency (it is all calls and texts between “White House officials” and “Anthropic executives”), in practice it comes down to who you trust more. This is why we create laws! To abstract away from personal power struggles and grudges, to submit to the steady application of rules so that complex human activity can unfold with predictability. The rule of law has been being eroded in the U.S. for my entire life, but it is especially acute in AI because of both the lack of much preexisting law to serve as bulwark, and because of this admin’s insistence that it is Not Regulating AI. This has become an excuse for vagueness and evasiveness in rule-drafting (see the cyber EO), and this in turn makes the lawlessness worse. The government wants to apply its force to frontier AI, that much is clear. It wants to make the industry submit. And in service of that goal, it has discovered that “not regulating AI” is in fact a great excuse for refusing to support laws that could constrain the admin’s exercise of power. In other words, “not regulating AI” is a *justification* for the tyrannical control of AI by the state. This should alarm you regardless of what party you are in. What you are seeing now will be used against you one day soon, if not by this admin then by its successors. This is the antithesis of the rule of law. The administration cannot and will not fix this problem alone. We need Congress to step in and impose rules on this mess.
Chubby♨️@kimmonismus

New update on Fable 5: and it's less about jailbreaks than anyone initially thought. Via Axios The Axios story that just dropped today reframes the whole thing: Anthropic hired a cybersecurity expert to review Amazon's findings and push back on the government's narrative. The administration viewed her as a "radical Democrat." She was then publicly celebrated by Chris Krebs, the official Trump just fired. That didn't help. Behind the scenes, officials describe a company that simply doesn't know how to talk to this administration. "It's like they just speak different languages," one source said. "Everybody said Anthropic was a bad actor. Some of us said it was time to give them a chance. Now those people are questioning that. They screwed us." Today: Anthropic staffers meet with Commerce, the CIA, and White House science advisor Michael Kratsios to work through compliance with the cyber executive order. The technical question - can Fable 5 be jailbroken - is almost secondary now. This is a story about a company that keeps losing the room. Ill keep you updated.

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Boyuan :D
Boyuan :D@boyuan_ddd·
@typesfast Buffett must be shaking his head right now. One day vs. a lifetime of compounding. SpaceX is printing money.
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Ryan Petersen
Ryan Petersen@typesfast·
With today's 20% SpaceX pop, Elon made more money today than Warren Buffett made in his entire career
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Boyuan :D
Boyuan :D@boyuan_ddd·
@pmitu The longer you wait, the more copycats join the race. Momentum beats perfection every time.
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Paul Mit
Paul Mit@pmitu·
The longer you build, the more competitors you have. Move fast.
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Darren Marble
Darren Marble@darrenmarble·
Describe being a startup founder in one word!
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Boyuan :D
Boyuan :D@boyuan_ddd·
The crowded problems are the ones that pay off in three years. Everyone funded and smart is already there. The interesting ones pay off in seven, and the field is almost empty because almost nobody can wait that long. I'm building toward the seven-year version.
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Boyuan :D
Boyuan :D@boyuan_ddd·
The stat missed the number but caught the direction. What matters is that the old way of getting found is leaking value even while queries grow. The founders who win are the ones treating citation and verification as a core product challenge instead of something the marketing team figures out later.
Jan-Willem Bobbink@jbobbink

I checked Gartner's famous 25% search drop for 2026. It's wrong, but not for the reason you think. In February 2024, Gartner predicted that traditional search volume would fall 25 percent by 2026. The line spread fast and stuck. Two years later it shows up in decks and blog posts as if it already came true, with some writers saying we are living through it right now. Gartner itself later framed the figure as scenario modeling, not a certainty. That nuance got lost almost immediately, they tried to learn from their Voice Search predicitions I guess. The deadline has now passed, so the number can finally be checked. By the data, search did not shrink. It grew. Google said its query growth actually sped up through 2025, helped along by its new AI Mode, and Alphabet reported Search revenue up 17 percent in the final quarter of the year. The exact thing the stat warned about, a 25 percent decline in volume, never showed up. I want to be fair here, because the picture is messier than a clean win. A search inside an AI chat is not counted the same way a typed query was in 2019. Follow-up questions in one session can each be counted on their own. So part of that growth reflects a change in how a query is measured, not pure new demand. That caveat belongs in the conversation. Here is the part that actually matters: the worry behind the stat was real, even though the metric was wrong. Clicks to websites are falling hard. Referral traffic from Google to publishers dropped by roughly a third in the year to last November, and close to 60 percent of searches now end with no click at all. Volume is climbing while traffic bleeds out. So Gartner missed on the number it chose: it named volume, and volume rose. But it was pointing at a real shift through the wrong measure. Once a forecast becomes a famous stat, people stop checking it. They repeat the number and drop the meaning. The number was wrong. The worry was right. Both can be true at once. Sources: Gartner, Inc., "Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents" (February 19, 2024), Gartner, gartner.com/en/newsroom/pr… "Gartner search drop reshapes digital visibility" (December 27, 2025), AI CERTs News, aicerts.ai/news/gartner-s… "Gartner Predicts 25% Search Volume Drop by 2026: What It Means for Your Business" (February 24, 2026), Emarketed, emarketed.com/ai/gartner-pre… "Google Search Queries All Time High: What the Data Really Shows" (April 29, 2026), Gadget Hacks, android.gadgethacks.com/news/google-se… "AI Overviews Statistics 2026: Google Search Impact Data" (May 8, 2026), SQ Magazine, sqmagazine.co.uk/ai-overviews-s…

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