Long-term, free-cash-flow-per-share investor (YouTube / Substack) — running synthesis of his video appearances, with per-transcript breakdowns and a stock index.
High-conviction long: FCF/share rising and inflecting while the stock is down ~78% — a "violent re-rating" toward $1,000 as Duolingo builds a personalized superhuman AI tutor (innovation-stack + proprietary-data moats; AI-disruption fear "trivial").
His FCF/share-inflection success template, bought at $6.34 before cash flow turned up — and his word-of-mouth proof (~3 salespeople vs sales-heavy peers).
Exhibit A for the digital-app moat: took 60–70% audio-streaming share against Apple/Amazon/YouTube via the innovation stack — the ~50% paid-penetration and "scale precedes monetization" template.
In one line: stock price follows free cash flow per share over the long run, so the job is to anticipate the FCF/share inflection — buy quality businesses whose FCF/share is rising (ideally before it turns up) while the price is depressed, conviction grounded in extraordinary qualitative moats (the "innovation stack," obsessive end-user culture, proprietary data, word-of-mouth growth).
Anticipate the inflection in free cash flow per share. Price follows FCF/share with a lag; the most asymmetric setups are quality names deeply off their peak whose FCF/share is still rising (and accelerating) — a "violent re-rating" waiting to happen (the Palantir-at-$6.34 and Duolingo templates).
Use qualitative moats to forecast the cash flow. Judge culture, end-user obsession and the "innovation stack" — millions of tiny compounding iterations that can't be vibe-coded. Stress-test "no moat" claims with a competitor proof (how Spotify beat Apple/Amazon/YouTube).
Read the funnel: scale precedes monetization. For digital apps, get users on first and monetize later; size the upside from the paid-penetration gap vs a mature peer and from TAM penetration. A deliberate "investment year" (the "Bezos algorithm") is bullish when the moat is intact.
Word-of-mouth growth on near-zero marketing is a product-quality signal (per Bezos), and a bloated sales force is the inverse tell. Pair it with the proprietary-data → fine-tuning moat test and the "can this organization overcome problem X with increasing speed and efficacy?" diagnostic.
Lean into mocked, contrarian calls when the cash-flow case is sound — hold long-term through 20–40% drawdowns, and publicize a falsifiable, time-stamped thesis (the AMD "$500 by 2026" call).
The product
Grounded in what Darnton says across the archived appearances (so far: 2026-JUN-13 — $DUOL).
What it is: a free YouTube channel ("Christian Darnton | Investing") where he publicizes his thought process and individual investments, plus a paid Substack and a private community. The videos are the free, public layer; the deeper written theses and member discussion sit behind the paid tier.
Offering
What it is
How he runs it
Seen in the index
YouTube channel
Free long-form single-name deep dives explaining his FCF/share framework and conviction calls.
Solo videos walking through the thesis with on-screen slides; happy to "publicize my thought process and my investments."
This 22-min DUOL video
Substack (paid)
Written research where he lays out the full case — including the detailed reasons a name will overcome its key problem.
"That is one of various reasons that I cite to my Substack as to why Duolingo probabilistically will be able to overcome this specific problem."
DUOL write-up referenced
Private community
A members' group that follows his calls and reports back on outcomes.
"One guy messaged me today inside the private community saying that he made over 70K in about 4 months from AMD … and thanked me for the videos and commentary."
AMD track-record reference
Free education first. The public videos teach a repeatable, retail-friendly method (anticipate the FCF/share inflection, read qualitative moats) rather than just tipping a ticker.
Accountability. He time-stamps falsifiable calls ("if you're watching this in 2029, you'll know if I'm terrible at investing or good") and owns the misses — "some may go down 20, 30, 40% in a year."
Depth behind the paywall. The Substack carries the fuller, multi-reason theses; the private community adds peer feedback and reported results — the value-add over the free channel.
Transcripts
One dated page per appearance — each has its full stock table, talking points, and the saved transcript. Newest first.