Friedberg

Friedberg

bestie · 390 ideas engaged · 224 episodes · E1 → E288
ChamathJasonSacksAaron LevieBen ShapiroBill GurleyBrad GerstnerCyan BanisterElon MuskGavin BakerJoe LonsdaleKeith RaboisRyan PetersenThomas LaffontTravis Kalanick
0.45
credit over 351 calls how this is scored
128/61/162
right / half / wrong
-10%
avg α on scored calls α
35
live positions
+0
lifetime conviction force · 0 ideas born
2.26
avg strength · 222 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 97 0.39 29/18/50 -16% worse than coin flip
×2 stated with reasoning 234 0.48 92/39/103 -8% coin flip
×1 offhand aside 20 0.45 7/4/9 -9% 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 0.0 prov. 0/0/2 -25%
explicit_prediction 226 0.46 82/43/101 -10%
positioning 6 0.5 3/0/3 +5%
sentiment 117 0.44 43/18/56 -11%

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.

🤖 tech n=65
0.54 w=1.08 31/8/26
🪙 crypto n=12
0.54 w=1.08 6/1/5
🌍 macro n=40
0.46 w=0.93 16/5/19
📈 equities n=120
0.43 w=0.87 43/18/59
🏛️ politics-market n=74
0.42 w=0.84 22/18/34
⚡ energy n=18
0.39 w=0.78 5/4/9
🏦 rates n=14
0.39 w=0.79 3/5/6
🛢️ commodities n=8
0.38 w=0.75 2/2/4

Live book — 35 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 ×3 ▲ LONG SPCX 84.0 EARLY 1013d
📈 SaaSpocalypse is overdone for compliance-moat enterprise software support ×2 ▲ LONG IGV 71.0 EARLY 332d
🏦 US fiscal spiral keeps long-end yields grinding higher support ×3 ▼ 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
🤖 Google wins consumer AI via distribution support ×2 ▲ LONG GOOGL 61.2 EARLY 317d
🏛️ The anti-data-center backlash peaks and reverses post-midterms CONTESTED oppose ×2 ▼ SHORT DLR 57.5 359d
📈 AI cyber: the one-time hardening upgrade cycle support ×2 ▲ 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 oppose ×2 ▼ SHORT 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 ×3 ▼ SHORT MUB 35.6 122d
📈 Web2 buyouts: the flaccid-asset M&A wave support ×2 ▲ LONG PYPL 32.7 130d
🤖 Personal AI agents: Google's data moat wins the form factor support ×2 ▲ LONG GOOGL 29.3 142d
📈 Retatrutide: Lilly's premium peptide upgrade path support ×2 ▲ LONG LLY 29.0 417d
🤖 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 ×2 ▲ LONG ROBO 25.4 193d
🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars support ×3 ▲ LONG MSFT 20.6 650d
🤖 The $3-4T software industrial complex contracts in 2026 CONTESTED support ×2 ▼ SHORT IGV 19.2 122d
🛢️ Global nitrogen-fertilizer supply shock support ×3 ▲ LONG CF 17.4 205d
🌍 The debasement trade: USD is 2026's worst asset CONTESTED support ×3 ▼ SHORT UUP 17.0 122d
🏛️ DOGE delivers real federal spending cuts under unified Republican control CONTESTED oppose ×3 ▲ LONG BAH 16.0 59d
🏛️ LA fire rebuild stalls for years, not months support ×3 ▼ SHORT BLDR 15.0 495d
📈 Private equity model is broken support ×2 ▼ SHORT BX 14.5 23d
📈 Retail speculation complex (Robinhood/prediction markets/gambling) wins 2026 CONTESTED oppose ×1 ▼ SHORT HOOD 12.4 122d
🏦 Fed easing + disinflation into 2026 CONTESTED oppose ×2 ▼ SHORT TLT 10.5 58d
🤖 Nvidia risk: special-purpose silicon + Huawei CONTESTED support ×3 ▼ SHORT NVDA 10.4 438d
📈 Everything becomes a market — prediction-market financialization support ×2 ▲ LONG ICE 9.7 30d
⚡ Short nuclear: SMRs miss the economic window CONTESTED oppose ×2 ▲ LONG URA 9.5 122d
🤖 ChatGPT takes Google search share and the market starts pricing the decay CONTESTED oppose ×2 ▲ LONG GOOGL 9.3 241d
🤖 Willow's error-correction scaling puts encryption on a two-to-five-year clock CONTESTED support ×3 ▲ LONG GOOGL 8.8 94d
🤖 Apple relocates US-bound iPhone assembly to India on the stated 18-month timeline CONTESTED support ×2 ▲ LONG AAPL 7.7 46d
📈 2026 is the year of mega-IPOs CONTESTED oppose ×2 ▼ SHORT IPO 6.3 122d
📈 Gaming is AI's biggest entertainment winner support ×2 ▲ LONG ESPO 5.2 23d
🤖 Neoclouds are a transitory GPU arbitrage, not a durable business CONTESTED support ×2 ▼ SHORT NBIS 1.0 179d

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.

SPCX
+84.0 long
TLT
-78.0 short
NVDA
+76.2 long
QQQ
+67.3 long
DLR
-57.5 short
PANW
+55.2 long
GOOGL
+54.6 long
RSP
+54.6 long
IGV
+51.8 long
GEV
+51.0 long

Best and worst calls

How he argues

STANCE MIX
support 705
oppose 209
reversal 13
brush_off 7
TIER MIX
explicit_prediction 623
sentiment 282
annual_prediction 15
positioning 14
REVERSALS — he argued the opposite of his own earlier position
E147 Generative AI is the next Silicon Valley bubble cycle
E170 YouTube is the largest proprietary training corpus on earth - Google's insurmountable AI moat
E203 Socialist policy turn across the industrialized democracies
E218 Trump's tariff threats are negotiating leverage and get settled down
E220 Trump's tariff threats are negotiating leverage and get settled down
E232 The exit drought is a valuation overhang, not antitrust or markets

Latest from him

support ×2 sentiment 📈 It's 1997-98, not 1999 — the melt-up has years left E288 · 2026-09-04 ▶ 12:08
With the.com boom, it was all like metrics that weren't dollars. What we're seeing now is revenue and profits and growth in revenue and profits that we've never seen before. ... it is all real dollars flowing versus speculative utilization.
oppose ×2 sentiment 🏛️ The anti-data-center backlash peaks and reverses post-midterms E288 · 2026-09-04 ▶ 52:03
I think you politically have to be. It's like polling at negative 80 And it's bipartisan.
support ×2 explicit_prediction 📈 AI cyber: the one-time hardening upgrade cycle E288 · 2026-09-04 ▶ 30:39
the sandbox should be dynamic. It should be agentic. It should be defending itself dynamically ... cyber defense will become stronger than, if not better than, any of these offensive systems that are being created with agents
support ×2 explicit_prediction 📈 SaaSpocalypse is overdone for compliance-moat enterprise software E287 · 2026-08-29 ▶ 14:39
I think the horizontal platform companies, these tools that are horizontal, CRM works across many different verticals, industry verticals, and Gmail works across many industry verticals, and Slack, and so on, Excel. No one's going to go rebuild Excel... I think that's how I view the real SaaSpocalypse. It's more of a vertical SaaSpocalypse, which is software that's designed for just one vertical.
support ×3 explicit_prediction 🏦 US fiscal spiral keeps long-end yields grinding higher E287 · 2026-08-29 ▶ 35:43
my theory and my argument on this is there is no action that Bessent can take that's actually going to have a meaningful effect on the long end of the curve. We have fundamental fiscal spending problem with the federal government right now. ... even if he maxed out his buying authority in the near term, that's only a trillion of buying and then he's got to turn around and sell 10
oppose ×2 explicit_prediction 🏦 Fed easing + disinflation into 2026 E287 · 2026-08-29 ▶ 49:05
the inflation problem is fundamentally rooted in government spending. So deficit spending is correlated very nicely with the cost of housing, with the cost of healthcare, with the cost of education, and with the cost of everything else... And so inflation is persistent because what we thought were temporary emergency stimulus measures during COVID very quickly got normalized and became persistent spending cycles... So if the inflation remains high, people's affordability continues to go low.
support ×2 explicit_prediction 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E286 · 2026-08-21 ▶ 45:03
I happen to believe, having looked at this and thought about it, I think that it is possible. I think it is likely to happen soon. People I've talked to in industry do think it's real. ... which is why I think RSI is probably the future.
support ×2 explicit_prediction 🏦 US fiscal spiral keeps long-end yields grinding higher E286 · 2026-08-21 ▶ 1:06:46
We printed so much money, we've got so much debt — the 30-year is now at 5.3 percent this week, it continues to hit new 20-year records every day... I don't see the arithmetic or the fiscal situation changing... there is going to be some big movement towards socialist policies between now and 2028 [and their program] would balloon costs — the bond market sells off, the 30-year yield spikes to 7, 8 percent, maybe more.
support ×2 sentiment 🤖 AI compute capex supercycle has 12-24 months of runway E284 · 2026-08-08 ▶ 3:42
Capex is high alpha, low beta in data center infrastructure, that capital. And model development theoretically could be high alpha, but it's very high beta. It's a very risky way to deploy capital.
support ×3 explicit_prediction 📈 SpaceX post-IPO: multiple ways to win from $1.4T E284 · 2026-08-08 ▶ 26:34
Starlink is just an unbelievable juggernaut cash machine... $2.6 billion in adjusted EBITDA [this quarter]... The Starlink business alone could be a trillion dollar market cap within two years, within 18 months. That alone provides the cash flow to fund much of what Elon is doing.
support ×2 sentiment 🤖 Google wins consumer AI via distribution E284 · 2026-08-08 ▶ 16:11
it is way too early to count Gemini out on building incredible specialized models. They have the best video data. They have the best life sciences data. ... if you can be the cloud service provider with that mixture of models, which is what Google GCP can now be, I'm going to sign up for working with GCP
support ×2 explicit_prediction 🏦 US fiscal spiral keeps long-end yields grinding higher E283 · 2026-07-31 ▶ 15:15
just crossed 5.2% for the first time in 20 years. ... $2 trillion deficit, $7 trillion a year of spending on $5 trillion a year of revenue. Both Elizabeth Warren and Donald Trump agreed ... buy a US government bond that pays me 10% pretax a year. Why the heck would I pay 50 times ... We are going to end up seeing more bubbles pop
support ×3 explicit_prediction 🤖 Google wins consumer AI via distribution E282 · 2026-07-24 ▶ 1:12:40
If you want to bet on AI, I think the best public market stock to own is Google... GCP is probably the best suited enterprise layer to capture value with AI... they're model agnostic... worst-case scenario, they have the lowest cost infrastructure in the world to run other people's models... they just took $100 billion mark-to-market on Anthropic in one quarter, plus 10% of SpaceX, plus Waymo... The multiple is kind of ridiculous right now.
support ×2 explicit_prediction 📈 Web2 buyouts: the flaccid-asset M&A wave E281 · 2026-07-18 ▶ 27:17
I will make a prediction. I think that eBay and PayPal are probably the beginning of a wave of mega deals of flaccid digital businesses that can be revived with the blue chew of capital and the right operator... folks that are AI native are looking at first generation digital native businesses that have become mature and old and stale and aren't run by the founders anymore... there's a couple dozen of them.
oppose ×2 sentiment 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E279 · 2026-07-03 ▶ 15:41
there's been an effort by Anthropic to go around and sign up life sciences companies to contributing to a new life sciences focused model. ... nearly everyone I've spoken with has woken up to the fact that they are basically trying to commoditize everyone's business. ... you are effectively commoditizing the asset that you have,