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Prediction-market research. Explore markets, inspect quotes and compare model estimates. Free beta. AI-assisted development.

Americas
Joined August 2026
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Month and ten days into the life of @AestusValueLab Hopeful we can crank out about double the amount of volume this next month. Going to put extra emphasis on the culture markets because it is low variance. Want to share in the alpha? go.aestusvaluelab.com and sign up!
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Nomination and election-winner markets ask different questions. Aestus now lets you compare a candidate’s separate 2028 contracts, read the full rules and open exact Yes/No research. Explore the new workspace: aestusvaluelab.com/markets?q…
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We need to stop this Google fetish. It is a CIA front and that is the only reason it got to where it is today. The fact you hired only from elite universities has almost zero to do with it. I know of many such examples who don't want to work at Google, who consider it beneath them. It is a vanity metric that helps you establish a strong sense of self confidence. Nothing more.
Eric Schmidt on the controversial hiring rules that built Google, and the beloved "glue people" he says you don't need at all: Schmidt admits the early rules were unpopular, even inside the company. "One of the rules is that we didn't want to hire your friends, which always was upsetting. We also didn't want to hire anybody from what were considered to be lesser universities. And so we also wanted to hire people who had very high GPAs." That meant saying no to people who, by most measures, deserved a yes: "So the constant problem was that somebody was a good employee, had someone they had worked with, who was very loyal, very hard working, who was not from a great university, did not have a very good GPA and we would not hire them." He concedes the policy has since been softened. But he doesn't apologise for it: "So that was controversial and we've relaxed that a little bit now. But the fact of the matter is it got us to where we were today because it produced these high IQ generalists from prestigious universities." Then there was the second rule, built on a lesson Schmidt learned before Google, at Novell. He calls them "glue people": "The glue people are incredibly nice people who sit at interstitial boundaries between groups and they assist in activity. They are glue and they're very, very loyal and people love them and you don't need them at all." The problem wasn't that they were bad people. It was that they cost speed: "At Novell, I kept trying to get rid of these glue people because they were getting in the way because they slowed everything down." And once inside, they were almost impossible to remove: "And every time I'd get rid of in one group, they'd show up in another group and they'd transfer and get rehired and all that." When @ericschmidt raised this with Larry and Sergey, Larry's answer was to stop glue people before they ever got in: "And Larry said, yeah, let's just review all the hiring." "So guess what? From that moment on, we reviewed every offer packet. Literally everyone." The review was strict enough that even Schmidt's own preferred candidates got caught: "And anybody who smelled or looked like a glue person, plus the people that Larry and Sergey thought had backgrounds that I liked that they didn't, would all be flagged. And so anybody who sort of met the original profile, they'd go right through."
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A model estimate and a market quote answer different questions. Before comparing them, check whether the price is a live ask, a last-known reference or a closed-market snapshot. Aestus labels the source and keeps the selected contract explicit. aestusvaluelab.com/
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New in Aestus: more reliable soccer model comparisons, faster-loading team logos and more resilient TweetPulse loading. Explore prediction markets, inspect quotes and compare model estimates in one workspace. Free beta: aestusvaluelab.com/
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I changed my mind, I will keep this running but will fully hand over control to my AI. From now on the great Astra will take this project further.
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I have decided to move on to another project. If anybody is interested in taking over Aestus I am willing to hand over everything for free. This project is just too big for a hobby and nowhere near big enough for a source of income. So I have to let it go. I have the full code repo, Github account and cloudflare hosting account that I can hand over to anyone willing to maintain it.
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I've been saying this for a while now: xitter.gq/hvdm1987/status/196874…
JUST IN: Matthew McConaughey sparks speculation he could run for president as an independent in 2028, declaring “Independents belong in the fight.”
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Play poker they said, it will be fun they said.
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It isn't what you don't know that gets you.
You would have made billions if you gave seed checks to everyone who was at @alexandr_wang’s 19th birthday party: - Jeff Yan (@chameleon_jeff) went on to start Hyperliquid (~$20B) - @ScottWu46 went on to start Cognition ($48B) - @thejessezhang went on to start Decagon ($4.5B) And Wang himself who started Scale AI, and got $14.3B from Meta for 49% of it. Wang explains: “I was doing a winternship at a trading firm called HRT. There were 12 of us, almost all of whom were students at either Harvard or MIT. I recently met up with the founder of HRT and they were talking about, ‘We're starting to do some private investments.’ I was like, ‘Just invest into the interns! All the interns get seed checks!’”
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This is going to age like 23,99 year old pussy to Leonardo Di Caprio.
Chamath says Anthropic should sacrifice valuation to raise at least $200 billion, because even that barely buys the compute needed to survive a correction “Here’s my very specific thing about why I think they should price it to clear the market for $200 billion—and I’m specific about that number. They need, in my estimate, at least $200 billion. If you want to be super safe, a quarter-trillion gets the job done. “What does the price need to be to attract that incremental dollar off the sidelines? Can they raise $80 billion in an IPO at $1.7, $1.8 or $1.9 trillion? I think so, handily. Can they raise $100 billion? Maybe it’s pushing it. At $150 billion, I think you need to be back down to $1.5 trillion.” JCal: “You’re saying you want them to raise more money at a lower valuation so they have a war chest.” Chamath: “$150 billion at $1.5 trillion is not enough. $200 billion barely gets them a few gigawatts. That is the bottom-line math if Anthropic is going to go through and survive an eventual correction. “I think it’s much better for them to have $200 billion to $250 billion today than to try to ring the bell at $1.9 or $2 trillion for $80 billion, file a mixed shelf—which takes about six months—and hope the markets are in line. “I just think there’s more risk in the future than there is today. Why take the risk? Price it to clear the market.”
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Two more wins on the @Bundesliga_DE which only gets us around halfway back from the @valenciacf vs @elchecf disaster that took place today.
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You think it's hard to beat CLV? Think again, all you need is an account with Aestus!
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I pulled every Polymarket trade I've made on Elon Musk tweet-count markets and sports since late August. 244 positions. $33.3K staked. +$853 net. Two very different books. Here's what the data says 🧵
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Where I leak money: - Selling early: -$323 over 55 positions, vs +$964 on the ones I held to resolution - Penny Yes tickets under 10¢: 1 of 10 hit, -$256 - 95-99¢ No shares: 96% hit rate, but only +$131 on $14K staked
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Sports: +$211 on $3.0K. Soccer (+$176) and NFL (+$44) carry it. F1 head-to-heads (-$46) and both-teams-to-score (-$14) leak. ~100 settled bets is too few to call it a proven edge yet. All numbers from my public Polymarket history, as of Oct 16. go.aestusvaluelab.com
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Should we expand Aestus to also get into poker and trading? Which one should we do first? Let me know in the comments.
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