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Pieter Slegers — Growth Investing Done Right

Part II of the Kris Heyndrikx interview: the rule of 40, a 17-criterion quarterly Quality Score, position sizing on original allocation rather than market value, and holding Shopify through an 85% drawdown.
2026-AUG-18 · Compounding Quality (Substack, free post) · interview with Kris Heyndrikx (Potential Multibaggers), conducted by Pieter Slegers · written post · read ↗ · transcript · actionable insights
One-line take: the second half of the archive's only sustained argument for a different discipline, and it is the mechanical half. Guest-authored — the views below are Kris Heyndrikx's, not Compounding Quality's, and as in Part I Slegers asks and does not rebut. Where the house framework starts from a valuation, Heyndrikx starts from revenue growth — "by far the most important driver of stock returns over the long term. Over a year, it's valuation. But that only counts for 5% over a decade" — and screens unprofitable companies with the venture-capital rule of 40 (revenue growth + FCF margin > 40; a 60%-grower at a −10% FCF margin is "a rule of 50 and that's really strong"). Three pieces of machinery do the work the house's fair values do: company-specific Selling Rules written before the position exists, a Quality Score marked every quarter on 17 criteria ("this catches slow deterioration… which you don't always see if you don't score"), and a sizing rule that ranks the book by original allocation, not current value — "I refuse to punish my winners and reward the losers" — with a soft 8% cap, an occasional 10%, and MELI above that. The behavioural claim is specific and testable: Shopify −85% in 2022 and Cloudflare −83% were both held, and often added to, because the score and the rules were intact — "when it hurts the most, it's often the best time to buy." The evidence offered is Chris Mayer's study of 365 hundred-baggers, not one of which avoided a 50% drawdown, most of them down 75%+ more than once. Two things to keep in mind while reading: no valuation step appears anywhere in either part, and the performance claims (Nvidia "+400% since then", June 2022 Best Buys Now "up 367% on average") are the guest's own, unaudited, and attached to a product he sells.

1. Stocks & names mentioned

Eight names, all the guest's. Two are his own positions (MELI, NVDA), two are drawdowns he sat through (SHOP, NET), one is the worked example of a criterion (NFLX) and three are David Gardner's hundred-baggers cited as evidence for holding (AMZN, TSLA, ISRG). Phil Fisher, David Gardner, Peter Lynch, Chris Mayer and Hemant Taneja are cited as influences and authors, not as securities. Research legend: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis. Written post with no timestamps — the At link opens the article.

TickerNameResearchViewWhat he saidAt
MELIMercadoLibreQT · SA · STK · FAPositiveHeyndrikx's largest position, and the exception to his own sizing rule. "The stock hasn't done much recently, but the business keeps executing, so I've kept adding, even though it's already my biggest position." The discipline behind it: rank by original allocation, cap at 8%, stretch to 10% occasionally — "and with MercadoLibre I'm even above that, which is very exceptional for me." The trigger to add is fundamental, explicitly not the price: "I add when I see a company doing well, and I mean fundamentally, not the stock price."read ↗
NVDANVIDIAQT · SA · STK · FAPositiveThe framing anecdote, told by Slegers about the guest. "He even made a bet with me that Nvidia was undervalued… 3 years ago. Everybody was already convinced that Nvidia was overvalued. Kris wasn't. Nvidia is up almost +400% since then." Also listed among David Gardner's hundred-baggers. Note the tension with Part I, where Heyndrikx's own worst mistake was skipping Nvidia as an official pick for being "too big at around $60 billion."read ↗
SHOPShopifyQT · SA · STK · FAPositiveHeld through an 85% fall and added to. "Shopify was down 85% in 2022… I have my doubts as well during those periods. But I have my Quality Score and my Selling Rules to help me. As long as those are intact, I often add to my position. When it hurts the most, it's often the best time to buy." Disclosed entry in Part I: $5.58.read ↗
NETCloudflareQT · SA · STK · FAPositiveThe second drawdown he sat through: "Cloudflare 83%." Same mechanism as Shopify — the Quality Score and the Selling Rules are what make holding possible, and the stories rather than the price are named as the thing that actually forces people out: "when a stock is down 50% or more, everything you hear and read about it is extremely negative, and those stories influence your thinking." Disclosed entry in Part I: $39.read ↗
NFLXNetflixQT · SA · STK · FANeutralThe worked example of unscaled scalability, the criterion Heyndrikx singles out of his fifteen: "Everyone has their own recommendations (unscaled) but Netflix can easily do this for all customers without much extra costs (scaled)." Cited as an illustration of the test, not as a recommendation; also one of Gardner's hundred-baggers.read ↗
AMZNAmazonQT · SA · STK · FANeutralThe proof-of-concept for the whole holding argument, cited twice: "David Gardner held Amazon when it was down 95%. Most people are not able to do that." Used as evidence, not as a view — Heyndrikx does not say he owns it.read ↗
TSLATeslaQT · SA · STK · FANeutralNamed among the "at least seven 100-baggers" David Gardner picked (Amazon, Nvidia, Tesla, Intuitive Surgical, Netflix, and others). A citation in support of long holding periods; no view expressed on the company.read ↗
ISRGIntuitive SurgicalQT · SA · STK · FANeutralAlso named among Gardner's hundred-baggers. Cited as evidence for the "hold your stocks for the long term" claim — every one of those names "had crushing drops along the way, 80%, 85%, 90%" — with no view on the business here.read ↗

Two performance claims in this issue are the guest's own and unaudited: Nvidia "up almost +400% since then" (a three-year window, quoted by Slegers) and "the June 2022 Best Buys Now are up 367% on average" (a list published by the product the interview links to twice). Neither is sourced. The Chris Mayer statistic — 365 stocks that rose 100x or more, none of which avoided a 50% drawdown — is attributable, to 100 Baggers.

2. Talking points

Revenue growth first, valuation last

The rule of 40 — how to underwrite a loss-making company

Selling Rules — written before the position, company by company

The Quality Score — 17 criteria, marked every quarter

The asymmetry that governs selling

Three influences, and what he took from each

Rank the book by original allocation, not market value

Fifteen criteria, and the subjective ones are not apologised for

Unscaled scalability

What actually makes people sell is the story, not the price

The price of a hundred-bagger

3. In plain English

A jargon-free summary of the thesis behind each argued name. (Renders on each name's consolidated page.) These are the guest's views, printed without a house verdict attached.

MELI — MercadoLibre Positive

MercadoLibre is Latin America's combination of Amazon and PayPal: an online marketplace with a payments and lending business bolted onto it. The guest, Kris Heyndrikx, has kept buying more of it even though the share price has gone nowhere lately, because his test for adding is whether the business is doing well, not whether the stock is. That distinction is the whole point — a price that has stalled while the business keeps growing is, in his framework, a reason to add rather than to worry.

It is also his largest holding, and large enough to break his own rule. He measures position sizes by what he originally put in, not by what they are worth today, specifically so that a winner does not automatically look "too big" and a loser "too small". Measured that way he normally caps a position at about 8%, occasionally 10% — and MercadoLibre is above even that, which he calls "very exceptional".

NVDA — NVIDIA Positive

Nvidia appears here as a story rather than an analysis. Three years ago, when the consensus was that the shares were expensive, Heyndrikx bet Slegers that they were undervalued; the stock is up roughly 400% since. It is offered as evidence that a growth investor who focuses on how fast the business is expanding can be right when a valuation-first investor would have passed.

Worth reading alongside the first half of the interview, where the same investor's biggest admitted mistake was also Nvidia — he declined to make it an official pick years earlier because at around $60 billion he judged it too big to multiply. It went on to rise 8,720%. The two anecdotes together say something useful: the framework's misses and its hits came from the same place, a judgement about how much room a business still has.

SHOP — Shopify Positive

Shopify sells the software that lets any merchant run an online store. Its shares fell 85% in 2022. Heyndrikx held them, and added — not out of stubbornness, but because he had two mechanical checks to consult: a set of sell rules he had written down before he ever owned it, and a score he re-marks every quarter on seventeen measures of business quality. While both were intact, the fall was a price event rather than a business event.

His claim about why this is hard is not about courage. It is that after a 50% fall everything written about a company turns negative, and those stories, not the number on the screen, are what push people out. Having a score to consult is what lets him ignore them.

NET — Cloudflare Positive

Cloudflare runs a global network that sits in front of websites to make them faster and to absorb attacks. Its shares fell 83% in the same 2022 sell-off, and it was held on exactly the same basis as Shopify: the quarterly quality score and the pre-written sell rules stayed intact, so the position stayed on, and was added to.

The general rule he draws from both: "when it hurts the most, it's often the best time to buy" — while admitting the honest part, that at the time it feels like throwing good money after bad. The supporting statistic is Chris Mayer's study of 365 stocks that rose a hundredfold: not one of them avoided a 50% fall, and most fell 75% or more, more than once.

NFLX — Netflix Neutral

Netflix is used to explain a screening criterion rather than pitched as an investment. The criterion is "unscaled scalability", taken from Hemant Taneja's book Unscaled: the best modern businesses give every customer something tailored to them, but do it in a way that costs almost nothing extra as the customer count grows.

Netflix is the clean example. Every subscriber sees a different set of recommendations — that is the personalised half — and producing those recommendations for one more subscriber costs Netflix essentially nothing — that is the scale half. Businesses that personalise the expensive way, by making genuinely different products for different people, fail the test, because the customisation eats the margin.


Summary derived from the archived Compounding Quality post (text in transcript.txt) for personal study. Not investment advice. © Compounding Quality / Pieter Slegers and Kris Heyndrikx for source material.