PunditPoorly · All-In Podcast

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.

ALL-INPodcast404 episodes scored · rubric v2.3 / engine v5.4 · last update 7/18/2026 · methodology
All-In Group return
+175.7%
on $400K deployed
Net PnL
+$703K
vs starting bankroll
Predictions graded
329
4 main hosts + guests
Open positions
6
3 shorts · 17 expiries
The Takeaway

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

Host portfolio$1.1MSPY mirror$950K+$153K (+16.1%)
$362K$570K$778K$986K$1.2M2020-09-102023-08-112026-07-17

Aggregate Composition 6 open positions across all 4 hosts · BALANCED book

SPY: $102,055 (9.3%)GOOGL: $58,927 (5.3%)MGM: $52,725 (4.8%)EA: $43,277 (3.9%)AAPL: $30,933 (2.8%)TLN: $29,294 (2.7%)SPY (cash bucket): $785,553 (71.2%)TOTAL$1,102,765
Top Holdings · 7 slices
SPY$102,0559.3%
GOOGL$58,9275.3%
MGM$52,7254.8%
EA$43,2773.9%
AAPL$30,9332.8%
TLN$29,2942.7%
SPY (cash bucket)$785,55371.2%

The Books — BALANCED methodology · click any host to drill in

Chamath Palihapitiya
Chamath's Book
@chamath_p · 82 calls
Return
+152.7%
vs SPY
+$15K
Capital
$100K
Events
115
3 shorts · 82 callsOpen Book →
David Sacks
Sacks' Book
@sacks · 28 calls
Return
+91.4%
vs SPY
+$1K
Capital
$100K
Events
51
28 callsOpen Book →
David Friedberg
Friedberg's Book
@friedberg · 17 calls
Return
+85.0%
vs SPY
-$1K
Capital
$100K
Events
35
17 callsOpen Book →
Jason Calacanis
Calacanis' Book
@calacanis · 30 calls
Return
+80.4%
vs SPY
+$15K
Capital
$100K
Events
87
30 callsOpen Book →

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.

Total trades
137
Win rate
60%
Avg P&L / trade
+$890
+24.7%
Median P&L %
+7.2%
typical trade
Avg holding
669d
median 524d
Avg winner
+$2,269
Avg loser
-$1,166
showing 17 of 17 hosts
Gavin Baker4100%+$9,707+238.5%1.3y+$29,507-$1,330
Antonio Gracias1100%+$2,476+108.9%1.3y+$2,476-$2,476
Reid Hoffman1100%+$3,002+84.0%1.7y+$3,002-$3,002
Thomas Laffont3100%+$765+53.9%1.2y+$1,148-$81
Travis Kalanick2100%+$693+48.6%1.3y+$1,213-$174
Stanley Druckenmiller1100%+$3,385+45.3%2.0y+$3,385-$3,385
David Friedberg1669%+$1,332+37.7%2.0y+$6,982-$3,250
Jason Calacanis1464%+$1,237+31.7%2.5y+$5,378-$1,750
Ray Dalio250%+$1,244+31.1%1.3y+$2,535-$46
Keith Rabois1100%+$470+23.7%1.4y+$470-$470
David Sacks2458%+$752+20.6%2.1y+$9,618-$3,789
Elon Musk1100%+$597+20.1%253d+$597-$597
Brad Gerstner1050%+$337+10.7%1.9y+$7,178-$3,960
Chamath Palihapitiya5252%+$182+4.9%1.7y+$11,164-$4,125
Mark Benioff1100%+$57+1.6%6d+$57-$57
Cathie Wood30%-$719-19.1%219d+$-149-$1,519
Joe Lonsdale10%-$400-19.6%1.4y+$-400-$400

The Buys — aggregate top open positions

TickerHostsPositionPnL%
SPY2 hosts$102,055+$3,794+4%
GOOGL1 host$58,927+$4,753+9%
MGM2 hosts$52,725$2,309-4%
EA1 host$43,277+$1,655+4%
AAPL1 host$30,933+$3,322+12%
TLN1 host$29,294+$1,760+6%

The Briefs — latest fires · core besties only

INITIATE · bull2026-06-12 · MGM · an All-In host · LOW
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
INITIATE · bull2026-06-12 · MGM · an All-In host · LOW
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.
INITIATE · bull2026-06-12 · TLN · an All-In host · LOW
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.
INITIATE · bull2026-05-15 · AAPL · an All-In host · LOW
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
INITIATE · bull2026-05-15 · CRM · an All-In host · MID
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

— More depth available —

Across the whole cohort, here's what Analyst + Trader unlock —

Analyst$19/mo founder
  • 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.
Trader$79/mo founder
  • 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.
See full pricing →Join waitlistLaunch founder pricing capped at the first 100 Analyst + 25 Trader subscribers. Rates locked for 24 months from signup.