Bestie Buys
Every public-market call the besties have made on the pod, translated mechanically into a synthetic portfolio. Every quote, every receipt, audited by the audience.
Under the published default (BALANCED methodology), the 4-bestie aggregate returned +175.7% on $400K deployed across the 157 calls that clear its conviction bar (of 329 graded). Per host: Palihapitiya leads at +152.7% (82 calls); Sacks +91.4%, Friedberg +85.0%; Calacanis trails at +80.4% (30 calls). Each host's optimal methodology differs — toggle presets on BYOB to compare concentrated, let-it-ride, and other rubrics against the BALANCED default.
Aggregate Portfolio vs SPY — 1469 trading days · shared $400K bucket · BALANCED book
Daily walk-forward mark-to-market · SPY buy-and-hold benchmark on the same $400K
Aggregate Composition — 6 open positions across all 4 hosts · BALANCED book
The Books — BALANCED methodology · click any host to drill in
Trade Stats — every host pooled · 137 cycles
A “trade” = one INITIATE → close round-trip on a single ticker. Flips count separately (Chamath's META bear → bull = two trades). This ledger is representative of the core besties plus guest initiates (Ackman, Loeb, Arora, and other one-off appearances); the per-host table below lets you see who's actually beating the field.
| Gavin Baker | 4 | 100% | +$9,707 | +238.5% | 1.3y | +$29,507 | -$1,330 |
| Antonio Gracias | 1 | 100% | +$2,476 | +108.9% | 1.3y | +$2,476 | -$2,476 |
| Reid Hoffman | 1 | 100% | +$3,002 | +84.0% | 1.7y | +$3,002 | -$3,002 |
| Thomas Laffont | 3 | 100% | +$765 | +53.9% | 1.2y | +$1,148 | -$81 |
| Travis Kalanick | 2 | 100% | +$693 | +48.6% | 1.3y | +$1,213 | -$174 |
| Stanley Druckenmiller | 1 | 100% | +$3,385 | +45.3% | 2.0y | +$3,385 | -$3,385 |
| David Friedberg | 16 | 69% | +$1,332 | +37.7% | 2.0y | +$6,982 | -$3,250 |
| Jason Calacanis | 14 | 64% | +$1,237 | +31.7% | 2.5y | +$5,378 | -$1,750 |
| Ray Dalio | 2 | 50% | +$1,244 | +31.1% | 1.3y | +$2,535 | -$46 |
| Keith Rabois | 1 | 100% | +$470 | +23.7% | 1.4y | +$470 | -$470 |
| David Sacks | 24 | 58% | +$752 | +20.6% | 2.1y | +$9,618 | -$3,789 |
| Elon Musk | 1 | 100% | +$597 | +20.1% | 253d | +$597 | -$597 |
| Brad Gerstner | 10 | 50% | +$337 | +10.7% | 1.9y | +$7,178 | -$3,960 |
| Chamath Palihapitiya | 52 | 52% | +$182 | +4.9% | 1.7y | +$11,164 | -$4,125 |
| Mark Benioff | 1 | 100% | +$57 | +1.6% | 6d | +$57 | -$57 |
| Cathie Wood | 3 | 0% | -$719 | -19.1% | 219d | +$-149 | -$1,519 |
| Joe Lonsdale | 1 | 0% | -$400 | -19.6% | 1.4y | +$-400 | -$400 |
The Buys — aggregate top open positions
| Ticker | Hosts | Position | PnL | % |
|---|---|---|---|---|
| SPY | 2 hosts | $102,055 | +$3,794 | +4% |
| GOOGL | 1 host | $58,927 | +$4,753 | +9% |
| MGM | 2 hosts | $52,725 | $2,309 | -4% |
| EA | 1 host | $43,277 | +$1,655 | +4% |
| AAPL | 1 host | $30,933 | +$3,322 | +12% |
| TLN | 1 host | $29,294 | +$1,760 | +6% |
The Briefs — latest fires · core besties only
“MGM's like probably a 3X... I do like MGM, the floor on the bid. And then you've got to call it 3X in two years, even if this bid goes nowhere and they keep the thing running... they're making a million bucks a day in incremental EBITDA every day that they have a show at the sphe…”
“MGM and Talon, obviously got the downside protection and those feel like people will always gamble and leave the lights on. So I kind of like both of those. I put 200K into each in real time... I bought half of his action.”
“And then MGM in Talon, obviously got the downside protection... So I kind of like both of those. I put 200K into each in real time... I think it will leave the lights on.”
“Apple has the clearest path to becoming, you know, a top two or three player in AI simply by buying something like perplexity or mistro or some AI lab. And then using their hardware footprint, which is extraordinary. I just got this MacBook with 48 gigs of RAM on it with an M5. I…”
“The opposite trade is who has constructive net dollar retention, who has negative churn that's been really predictable, which is a way of saying who has the best relationships? Meaning they're inside the CXOs and the C-suite... And they've been around for 20 years. Those guys, I …”
Help us get attribution right.
Per-host books are our best read of who said what. Every row has a 🚩 button. Audit Hall →
Nobody asked. We ledger anyway. · Bestie Buys is a product of PunditPoorly · part of Standard Poorly
Across the whole cohort, here's what Analyst + Trader unlock —
- Every trade, every ticker — entry date, entry price, sizing, exit, realized P&L. The audit trail behind the headline number.
- Win rate, average P&L, biggest winner, ugliest loser, capital deployed per ticker. Stop wondering whether the +60% headline is one moonshot or a real pattern.
- Transcript receipts on every row — the exact quote, episode title, timestamp. Verify we didn't take the call out of context.
- Off-the-books table — commentary-only mentions that didn't meet our INITIATE rubric. The "honorable mentions" we deliberately don't count.
- Hot/cold streak analysis — was the edge real, or did wins just cluster? Drawdown stress test — what's the worst stretch you'd have had to hold through?
- BYOB — swap conservative / balanced / let-it-ride methodologies and watch the same host's numbers change under each lens.
- Everything in Analyst, plus:
- Market-state overlay — does this host outperform when markets are calm, when they panic, or both? Per-host breakdown across calm / normal / high-fear tape (so you can see whether the edge holds when it counts, or just in easy markets).
- Alerts when a host opens, trims, or closes a position — email, SMS, WhatsApp, webhook. Stop refreshing the page.
- Compound alert rules — "Chamath initiates a new position AND markets are high-fear AND it's an AI name" → fire. Build the exact setups you want to act on.
- CSV / API export of every ledger — bring it into your own spreadsheet or model.
- MCP server for Claude Desktop / Cursor / Claude Code (coming soon) — pull this data straight into your AI workflow and ask it questions.
- Real-time intraday quotes on open positions — see the host's current book move tick-by-tick during market hours.



