Mental Models, Investing, Sleep and Much More With Samir Patel from Askeladden Capital

ELI5 / TLDR

A 24-year-old fund manager who once placed second in the National Spelling Bee runs a small hedge fund out of Dallas. He doesn’t short, doesn’t use options, holds 8 to 15 stocks, and mostly buys boring small companies that sell unglamorous niche products. His real edge isn’t a secret valuation formula — it’s a watchlist discipline that lets him follow businesses for years and pounce only when the price is right. He also thinks most annual reports are useless, sleeps nine hours a night on purpose, and built a website cataloguing mental models because he kept forgetting what he read.

The Full Story

The kid from the spelling bee

Samir Patel competed in the National Spelling Bee five times, placing as high as second. He got there almost by accident — a family friend noticed a three-foot-tall kid who knew big words and pointed his mother toward a regional bee. That accidental start became a pattern. He was homeschooled, finished algebra and geometry by 13, started community-college courses at 13, had an associate’s degree at 17, and an MBA by 20. By then he’d already worked two and a half years as an editor at Seeking Alpha and at a micro-cap hedge fund.

What he takes from the homeschooling isn’t the head start. It’s a refusal to assume the default is correct.

“I’ve never really kind of taken seriously sort of the very standard like okay you’re going to spend two years doing this then you’re gonna spend two years doing this and that’s just how your career progresses.”

The investing bug came late and unglamorously. No juice-box-reading-10-Ks origin story. At 16 he was annoyed his savings earned a penny in the bank, an 83-year-old grandmother from Boca Raton mentioned a high-yield bond fund, and he was off — losing money day-trading, buying random mutual funds, until the Seeking Alpha editor job dropped him into a daily diet of hedge-fund write-ups. He read how good investors think, then emailed them for reading lists and feedback. That was the apprenticeship.

Buying the middle

His style sits deliberately between two crowded camps. He’s not a deep-value cigar-butt picker, and he won’t pay nosebleed multiples for “compounders.” He prizes business quality but keeps one eye on price.

“I’m equally happy paying ten times free cash flow for a business that’s worth fifteen times, or I’m equally happy paying fifteen times for a business that’s worth twenty.”

He underwrites every position to roughly a 20% annualized return over three years — part discount to fair value, part compounding. Interestingly, he says his strong returns have come less from companies blowing past expectations and more from the market re-rating them faster than he expected. A stock jumps 50% in six months, and as a price-sensitive buyer he finds it hard to keep holding something now trading well above what he paid when nothing fundamental has changed.

He fishes in small and micro-caps on purpose. Big funds can’t, liquidity keeps them out, and — refreshingly honest — he doesn’t think he adds anything by being the “trillionth guy to analyze Google.” Clients can buy that exposure cheaply through an index; his job is to surface things they couldn’t find themselves. He’s capping the fund at $50 million in assets to protect that edge rather than grow into a worse one.

The heresy: 10-Ks are overrated

Here’s the line most likely to get him “blackballed by 70% of value investors”:

“I really really really hate reading 10-Ks… most 10-Ks are written by lawyers for lawyers to satisfy a checklist of disclosure requirements.”

He still reads the footnotes and does the diligence. But he starts elsewhere — investor presentations and conference calls, where management explains in plain language what the business actually does, what it views as important, and what’s happening now. Calls are less lawyered, analysts ask the awkward questions, and you learn things the company would never volunteer in writing, like roughly how much revenue rides on one customer type. The filing is for verification; the call is for understanding.

The watchlist machine

This is the most practical idea in the conversation, and it’s really a behavioral trick disguised as a spreadsheet.

You learn more about a business by following it over time than by cramming all the work into one sitting. So Samir’s job isn’t “find a cheap stock today” — it’s “add good businesses to the watchlist” and “review the ones already there.” That reframing matters, because if you define success as finding something to buy, the temptation on the thirteenth dud is to talk yourself into it.

“When you want something — it’s called desire bias — it really shapes your objectivity and prevents you from seeing things clearly.”

The spreadsheet does two quiet things. It auto-fetches current prices, and it compounds his fair-value estimate by 10% a year (his cost of equity). So a business worth $10 today is logged as worth ~$13 in three years even if the stock never moves — meaning patience itself can create a buying opportunity. When something gets cheap, his sheet shows him the 17 other things he could buy with that capital instead. Munger’s “everything is opportunity cost” stops being a slogan and becomes a sorted list.

He pairs this with a scale-in rule: a brand-new idea gets only a 2-3% position, rising 2-3% per quarter he’s followed it — unless he’s tracked it long enough to size up with confidence right away.

Sleep, memory, and the website

The detour into sleep isn’t filler. Samir is evangelical about Matthew Walker’s Why We Sleep — he calls it “the most important book of the century” and doesn’t think that’s hyperbole. The hosts credit it with changing their habits. His point: sleep-deprived people can’t judge their own impairment, like a drunk insisting he’s fine to drive. The “I get by on six hours” crowd has either reset their baseline for feeling bad, or — vanishingly rarely — carries a rare short-sleep gene whose odds he likens to being struck by lightning.

Memory is also why his mental-models website exists. He realized he was re-reading the same books and remembering only the back-cover blurb — including, with some irony, re-reading The Seven Sins of Memory for the third time because he’d forgotten it. So he started taking notes, then formatting them for others, partly because writing cements memory and partly because the site became a magnet for like-minded people. The real value, Munger-style, is in how models interact — sleep degrading memory, memory feeding hindsight bias, and so on.

The honest mistake

Asked about errors, he skips past the obvious investing ones (over-sizing cyclicals) to the deeper one:

“Separating the world that you want to exist from the world that actually exists.”

He wants a world where being kind and doing the right thing guarantees good outcomes. It mostly works and is worth doing — but bad actors exist, and against someone who cheats every round, playing nice loses. Tit-for-tat, not sainthood. The discipline, in investing and in life, is asking whether you see the world as it is or as you wish it were, and whether you’re quietly cherry-picking data to confirm the wish.

Key Takeaways

Buy the middle. Avoid both cigar-butts and richly-priced compounders; target quality businesses where you pay 10x for something worth 15x.
Underwrite to a number. Initiate only when you can model ~20% annualized over three years, combining discount-to-value and compounding.
Conference calls over 10-Ks for understanding. Filings verify; investor decks and earnings calls explain what the business does and what management actually cares about.
Run a watchlist, not a buy list. Following a business longitudinally beats cramming all the work into one sitting; you catch what you’d otherwise miss in the first pass.
Reframe the job to beat desire bias. Make the goal “add to watchlist / review existing names,” not “find something to buy today,” so you don’t force a bad fit.
Compound your fair-value estimate. A flat stock gets cheaper relative to a rising intrinsic value; patience alone can manufacture a margin of safety.
Opportunity cost as a sorted list. A spreadsheet ranking every candidate makes “measure against your next best idea” literal.
Scale in. New ideas start at 2-3%, building per quarter followed; conviction earned over time lets you size up faster.
Niche small-caps as a hunting ground. Companies selling low-cost-but-mission-critical products (premium-priced consumables a customer won’t risk swapping) carry strong margins and pricing power.
Read for value-per-page. Pick the witty, applied book over the dry authoritative one — Misbehaving over Thinking, Fast and Slow — because you remember what you enjoy.
Protect the edge. Capping assets ($50m here) can preserve an opportunity set that growth would destroy.

Claude’s Take

This is a young manager being interviewed in 2018, and you should read it as a portrait of an approach, not a verified track record — he says himself that whether his early returns were “skill or luck is an open question,” which is more candor than most. The conversation is light on hard numbers and heavy on temperament, which is fine, because temperament is where the useful stuff is.

The watchlist-plus-compounding-spreadsheet idea is the keeper. It’s a clean mechanism for turning two abstractions — “opportunity cost” and “patience” — into something you actually act on. The 10-K heresy is less radical than he frames it; “calls give color, filings give rigor, use both” is sensible, not contrarian, and he admits he reads the footnotes anyway. The sleep tangent is genuine and well-sourced (Walker’s book), though “most important book of the century” is the kind of thing a 24-year-old says.

Docking a couple of points because the format is a chatty founder interview, so the signal is diluted with biography and host banter, and because nothing here is stress-tested against a down market — this was a bull run and he knows it. But the mental scaffolding is real and portable. 7/10.