Sacks

Sacks

bestie · 356 ideas engaged · 220 episodes · E2 → E288
ChamathJasonFriedbergAaron LevieBen ShapiroBill GurleyBrad GerstnerCyan BanisterElon MuskGavin BakerJoe LonsdaleKeith RaboisRyan PetersenThomas LaffontTravis Kalanick
0.47
credit over 327 calls how this is scored
127/55/145
right / half / wrong
-16%
avg α on scored calls α
23
live positions
+0
lifetime conviction force · 0 ideas born
2.22
avg strength · 212 dissents

Does his own confidence mean anything?

the same scored calls, split by how hard he was pushing at the mention that set his final stance. If credit rises with strength, his table-pounding carries information and you should weight it. If it's flat or inverted, his confidence is noise — treat a ×3 like a ×1. Cells under 5 calls are provisional and get no weight in the replay.

he wascallscreditright/half/wrongavg αread
×3 table-pounding 88 0.41 34/4/50 -21% worse than coin flip
×2 stated with reasoning 211 0.5 83/44/84 -13% coin flip
×1 offhand aside 28 0.48 10/7/11 -17% coin flip

Which kind of claim to trust

by the tier of the mention that set his final stance — a dated prediction is a different animal from a passing lean, and they don't have to score alike

tiercallscreditright/half/wrongavg α
annual_prediction 2 0.5 prov. 1/0/1 +17%
explicit_prediction 181 0.45 69/26/86 -20%
positioning 10 0.3 3/0/7 -52%
sentiment 134 0.51 54/29/51 -8%

What he's actually good at

his row of the scoreboard — these are the exact cells rescore.py uses to weight his mentions. w = clamp(2 × credit, 0.3, 1.5), applied only at n ≥ 5.

🛢️ commodities n=4
0.62 provisional 2/1/1
🌍 macro n=40
0.56 w=1.12 20/5/15
🪙 crypto n=18
0.56 w=1.11 9/2/7
🏦 rates n=12
0.54 w=1.08 4/5/3
🏛️ politics-market n=88
0.48 w=0.97 33/19/36
⚡ energy n=16
0.47 w=0.94 5/5/6
📈 equities n=96
0.44 w=0.89 36/13/47
🤖 tech n=53
0.39 w=0.77 18/5/30

Live book — 23 positions

his latest stance on every ACTIVE idea. Expression = what he is effectively long or short: supporting a bearish idea is a SHORT, opposing one is a LONG.

ideahis stanceexpressionconvictionflageval in
🤖 AI compute capex supercycle has 12-24 months of runway support ×2 ▲ LONG NVDA 86.6 MOVING 346d
📈 SpaceX post-IPO: multiple ways to win from $1.4T support ×2 ▲ LONG SPCX 84.0 EARLY 1013d
📈 SaaSpocalypse is overdone for compliance-moat enterprise software support ×3 ▲ LONG IGV 71.0 EARLY 332d
🏦 US fiscal spiral keeps long-end yields grinding higher support ×2 ▼ SHORT TLT 67.5 MOVING 521d
📈 It's 1997-98, not 1999 — the melt-up has years left support ×2 ▲ LONG QQQ 67.3 EARLY 1090d
🏛️ The anti-data-center backlash peaks and reverses post-midterms CONTESTED support ×2 ▲ LONG DLR 57.5 359d
📈 AI cyber: the one-time hardening upgrade cycle support ×3 ▲ LONG PANW 55.2 233d
🌍 The 2026 US boom — 5-6% GDP prints support ×2 ▲ LONG RSP 54.6 EARLY 122d
🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T CONTESTED support ×1 ▲ LONG GOOGL 53.9 EARLY 177d
⚡ Natural gas powers the AI datacenter buildout support ×2 ▲ LONG GEV 51.0 RUNNING 388d
🏦 State-government financing stress surfaces in 2026 support ×2 ▼ SHORT MUB 35.6 122d
🤖 Personal AI agents: Google's data moat wins the form factor support ×2 ▲ LONG GOOGL 29.3 142d
🤖 Frontier AI labs keep durable premium pricing (not commoditized) CONTESTED support ×2 ▲ LONG MSFT 26.6 177d
🌍 China's automated manufacturing base outruns US reindustrialization support ×1 ▲ LONG ROBO 25.4 193d
🤖 The $3-4T software industrial complex contracts in 2026 CONTESTED oppose ×2 ▲ LONG IGV 19.2 122d
🏛️ DOGE delivers real federal spending cuts under unified Republican control CONTESTED oppose ×2 ▲ LONG BAH 16.0 59d
🤖 Palantir's premium is justified — the short loses support ×1 ▲ LONG PLTR 15.9 65d
🤖 Independent frontier-model labs lose to hyperscaler capital CONTESTED support ×2 ▲ LONG MSFT 14.0 110d
🏦 Fed easing + disinflation into 2026 CONTESTED support ×1 ▲ LONG TLT 10.5 58d
🤖 Nvidia risk: special-purpose silicon + Huawei CONTESTED support ×1 ▼ SHORT NVDA 10.4 438d
🤖 ChatGPT takes Google search share and the market starts pricing the decay CONTESTED oppose ×2 ▲ LONG GOOGL 9.3 241d
📈 2026 is the year of mega-IPOs CONTESTED support ×2 ▲ LONG IPO 6.3 122d
🏛️ Narrow Section 230 carve-out unleashes a tort wave on social platforms CONTESTED oppose ×3 ▲ LONG META 3.7 145d

Where his book points

net push per primary instrument across his live stances — conviction × his agreement × the idea's direction. This is his implied book, not a position he disclosed.

GOOGL
+92.5 long
IGV
+90.3 long
SPCX
+84.0 long
NVDA
+76.2 long
QQQ
+67.3 long
DLR
+57.5 long
TLT
-56.9 short
PANW
+55.2 long
RSP
+54.6 long
GEV
+51.0 long

Best and worst calls

How he argues

STANCE MIX
support 904
oppose 196
reversal 16
brush_off 6
TIER MIX
explicit_prediction 669
sentiment 414
positioning 27
annual_prediction 12
REVERSALS — he argued the opposite of his own earlier position
E183 OpenAI keeps the consumer AI lead through a developer network effect
E187 Biden stays the nominee - there is no mechanism to remove him
E188 Biden stays the nominee - there is no mechanism to remove him
E189 Biden stays the nominee - there is no mechanism to remove him
E199 Big-tech antitrust survives a Trump-Vance administration
E204 Federal agencies run a coordinated regulatory campaign against Elon's companies

Latest from him

support ×2 explicit_prediction 📈 It's 1997-98, not 1999 — the melt-up has years left E288 · 2026-09-04 ▶ 14:50
I'm starting to wonder if this is 1998 or 1999 ... I think it's more 1998 than 1999 because I don't think we've seen the peak yet
support ×2 explicit_prediction 🏛️ The anti-data-center backlash peaks and reverses post-midterms POLICY-ADJACENT E288 · 2026-09-04 ▶ 52:15
There are great deals for local communities to be had ... We've seen that in Loudoun County, Virginia, the average taxpayers' property taxes went down by $6,000 because they're getting all this data center revenue.
support ×2 explicit_prediction 🤖 Frontier AI labs keep durable premium pricing (not commoditized) POLICY-ADJACENT E288 · 2026-09-04 ▶ 5:28
the market structure that we have right now is there's two markets ... And then there's Commodity Intelligence, which is everybody else, including all the open models. And they're not competing on being at the frontier. They're competing on price
support ×3 explicit_prediction 📈 AI cyber: the one-time hardening upgrade cycle POLICY-ADJACENT E288 · 2026-09-04 ▶ 34:11
the answer to AI-powered cyber attacks is AI-powered cyber defense. And what we need to do is get the latest and greatest AI-powered cyber defense into the hands of IT departments and CISOs. And again, we're on a clock here to find all these vulnerabilities and patch them before the hackers do.
support ×2 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway POLICY-ADJACENT E288 · 2026-09-04 ▶ 47:23
the reason why it's not going to be stopped is because consumers are adopting it ... Why are the data centers getting built? Why do people want to build them? It's because the demand is there from consumers and businesses. ... the adoption is pulling this whole thing forward
support ×3 explicit_prediction 📈 SaaSpocalypse is overdone for compliance-moat enterprise software E287 · 2026-08-29 ▶ 18:00
Well, this narrative of the Sass apocalypse was totally overdone. I mean, this whole Sass is dead narrative is just getting shredded today with Salesforce being up over 20 percent. You could go back and look at some of the clips I've been saying now for months. I do not believe that core systems of record like CRM are going to get ripped and replaced with something vibe-coded... Enterprises want certainty, they have compliance, they want professionally managed software that's been running and debugged for years.
support ×3 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway POLICY-ADJACENT E287 · 2026-08-29 ▶ 29:34
So, what is the takeaway, I think, for the larger market here? It is that the AI boom is continuing. The other narrative that's getting shredded today is that this AI CapEx is a bubble. It's basically gonna end very soon. And what Nvidia is basically saying with its numbers and forecasts is actually, this AI CapEx is gonna continue well into the future. It's got real legs. And the amazing thing is that after these numbers, even despite the 8% bump, Nvidia is only trading at 12 times earnings.
support ×2 sentiment 🏦 US fiscal spiral keeps long-end yields grinding higher E287 · 2026-08-29 ▶ 46:02
it is very, very hard to control spending when you have so many people going in... So I don't know how we get reform on this. Let me just say that if the Republicans lose control of Congress, I don't think that's going to make it better because you see now that the political energy in the Democrat Party is all towards these massive new spending programs that the DSA wants.
support ×1 sentiment 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T POLICY-ADJACENT E286 · 2026-08-21 ▶ 41:39
If you think you are bringing about the singularity — and let's face it, he probably is in the lead to do that, to bring about recursive self-improvement — he should defend this future.
support ×2 explicit_prediction 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T POLICY-ADJACENT E285 · 2026-08-14 ▶ 51:47
I actually was going to say 4-500 billion as exit ARR for next year. Seems very comfortable... the over-under really is 500 billion exit ARR for next year, and I think they think they'll do the over... the Anthropic IPO is really important for the market — everyone's going to be looking to Anthropic's quarterly earnings as the pace car.
support ×2 explicit_prediction 🤖 Frontier AI labs keep durable premium pricing (not commoditized) POLICY-ADJACENT E285 · 2026-08-14 ▶ 44:07
I actually think that their pricing power may be quite sustainable, ... a decent subset of the market is willing to pay a premium for true frontier intelligence. ... their lead is growing because they're on the way to
support ×2 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway POLICY-ADJACENT E285 · 2026-08-14 ▶ 1:03:24
The biggest risk is that you get a glut of compute and you get an overbuild. ... In a weird way, all the political headwinds, ... will almost guarantee that there's not an oversupply relative to the exponentially growing demand.
support ×2 explicit_prediction ⚡ Natural gas powers the AI datacenter buildout POLICY-ADJACENT E285 · 2026-08-14 ▶ 22:12
The green stuff can't scale in the short term. It's all gas-powered for the new data centers. That's the only way to get the amount of scale that you need in the next year or two.
support ×2 sentiment 📈 SpaceX post-IPO: multiple ways to win from $1.4T POLICY-ADJACENT E285 · 2026-08-14 ▶ 1:32:37
to catch up and become a true frontier lab. But if he fails at that, he's got the put option of just selling the compute at pretty attractive prices to the frontier labs.
support ×3 explicit_prediction 🤖 Frontier AI labs keep durable premium pricing (not commoditized) POLICY-ADJACENT E284 · 2026-08-08 ▶ 9:54
the market for frontier intelligence has become a duopoly. I think it's a very powerful duopoly. I don't think it's being commoditized. ... Anthropic is now over 80 billion of ARR. Started the year at 10, ... people are willing to pay a premium for true frontier intelligence.