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📈 Stock-based comp and Evergreen dilution get repriced

Institutional shareholders stop excusing 2.5-4% a year of dilution from stock-based comp and automatic Evergreen grants: the SBC add-back that makes unprofitable software look free-cash-flow positive gets exposed as a shell game, high-SBC software is marked down for it, and Silicon Valley compensation shifts toward cash with the standard $400k engineer salary getting challenged.

0 CONVICTION
peaked 69.2 GREEN
EMBER
band
▼ SHORT IGV
expression · bearish equities
MISS
outcome · R -28.3% · α -47.7%
2023-06-30
window closed
⚠ CONFLICTING IDEA ON THE SAME TICKER — the board is arguing with itself; net it before trading (ticker view →)
IGV · SaaSpocalypse is overdone for compliance-moat enterprise software LONG GREEN 71.0 ← stronger than this idea (35.4)

also touching these tickers, same direction: The $3-4T software industrial complex contracts in 2026 19 (IGV)

⚖ Why this verdict

fully deterministic — evaluate.py replays this from daily closes; nothing below is editable or hand-set

  1. Window: 2022-06-30 → 2023-06-30 — first mention + 12-month horizon, then the window locks.
  2. The call: ▼ SHORT IGV (primary play). IGV rose 28.3% over the window → direction-adjusted R = -28.3% (the call lost money).
  3. Benchmark: holding SPY over the same window returned +19.4%α = -28.3 − (+19.4) = -47.7% — what this call made or lost against just owning the index. This is the number the verdict uses.
    Stock-selection read: -8.9% — did IGV move the predicted way relative to the market. The two only differ on a SHORT: this call was right about direction relative to the index but still cost money versus holding it.
  4. Rule fired:
    · HIT — R ≥ +10% AND α ≥ +5
    · PARTIAL — R ≥ +5% OR α ≥ 0
    ▶ MISS — everything else
  5. Credit: supporters of a MISS earn 0 each, opposers the inverse — this feeds the scoreboard weights. supported: Brad Gerstner, Chamath, Friedberg, Jason, Sacks

Conviction timeline

bands: green ≥ 65 · watch ≥ 45 · ember ≥ 15

Plays vs SPY · % since first mention (2022-06-30)

Plays

expressionsymbolkindrelevancerationale
▼ SHORT IGVetf PRIMARY the listed software cohort carrying the heaviest stock-based comp and Evergreen dilution
▼ SHORT WCLDetf adjacent the higher-growth cloud tail where SBC as a share of revenue is highest

Mention log

Friedberg
Friedberg equities w=0.87 · n=120 · E85 (2022-06-30) · explicit_prediction · strength 3 ▶ 50:54 SUPPORT
“it seems to me that a lot of the big portfolio managers of big institutional funds are starting to pay really close attention to this quote unquote standard in Silicon Valley that stock based comp expense has become so high and Evergreens have become kind of a standard. ... And I don't think it would be too surprising, number one, to see cash salaries go up. And number two, as a result of that, to see salaries become rationalized in Silicon Valley, where engineers may start to get challenged on the standard 400k per year that everyone's become used to”
Chamath
Chamath equities w=0.84 · n=160 · E85 (2022-06-30) · explicit_prediction · strength 3 ▶ 54:21 SUPPORT
“when people talk about free cash flow, they tout it a lot, tech companies tout it a lot, because you're allowed to add back in stock-based comp as if it didn't exist. ... So when the only source of free cash is stock-based comp, that free cash flow doesn't reflect the company's true profitability. This is what I mean by people play these shell games with these numbers”
Sacks
Sacks equities w=0.89 · n=96 · E85 (2022-06-30) · explicit_prediction · strength 2 ▶ 58:07 SUPPORT
“This stock-based compensation is going to go away, because they're going to get rid of all the high-price engineers. They're going to get rid of a lot of the high-price executives.”
Jason
Jason equities w=0.97 · n=105 · E85 (2022-06-30) · sentiment · strength 2 ▶ 1:00:40 SUPPORT
“So this is one of the things that's broken in Silicon Valley is that the comp in the stock-based comp is not tied to performance. It's like just giving people guaranteed salaries.”
Chamath
Chamath equities w=0.84 · n=160 · E98 (2022-10-01) · explicit_prediction · strength 2 ▶ 13:54 SUPPORT
“So when you take this big tech put out of the market, you will get true price discovery and you will find out what the real price should be for this kind of an engineer, that kind of a product manager.”
Friedberg
Friedberg equities w=0.87 · n=120 · E98 (2022-10-01) · explicit_prediction · strength 3 ▶ 4:49 SUPPORT
“And the compensation bands get tighter and the option value gets tighter and the free stuff gets tighter. So, it's the end of an era and I think it's a new world for tech and Silicon Valley.”
Jason
Jason equities w=0.97 · n=105 · E98 (2022-10-01) · explicit_prediction · strength 2 ▶ 10:08 SUPPORT
“And those crazy, unrealistic out of school deals are going to be gone. And this means massive consolidation of talent.”
Chamath
Chamath equities w=0.84 · n=160 · E102 (2022-10-29) · explicit_prediction · strength 2 ▶ 59:53 SUPPORT
“And we're going to dilute the stock 2 or 3% a year. So that's another 20% dilution.”
Chamath
Chamath equities w=0.84 · n=160 · E105 (2022-11-19) · sentiment · strength 2 ▶ 1:23:06 SUPPORT
“Because if you look at these compensation plans, all of these professional stock owners, they complain all the time about stock based comp, right? And these companies have budgets between 2 and 5% a year that they give away.”
Friedberg
Friedberg equities w=0.87 · n=120 · E108 (2022-12-16) · explicit_prediction · strength 2 ▶ 58:36 SUPPORT
“So if you take out the stock-based comp, these guys are actually break even or losing money, roughly.”
Brad Gerstner
Brad Gerstner (regular guest ×1.0) equities w=0.95 · n=22 · E118 (2023-03-03) · explicit_prediction · strength 3 ▶ 1:02:36 SUPPORT
“One hundred percent. This has been the greatest grift in the history of Silicon Valley for sure.”
Chamath
Chamath equities w=0.84 · n=160 · E118 (2023-03-03) · sentiment · strength 2 ▶ 1:01:25 SUPPORT
“Can you imagine the totality of stock based comp that's been given out by all these companies since two thousand and fifteen when they were cagering their employee bases by twenty five percent a year? I bet you it's a trillion and a half dollars at least.”

Who built this conviction

each voice's total force on the score — supports and opposes from every mention, weighted exactly as the replay applied them · share = % of all mention-driven movement

Friedberg
Friedberg w=0.87
3 scoring events · 41% of moves
+50.7 → net +50.7
Chamath
Chamath w=0.84
5 scoring events · 29% of moves
+36.9 → net +36.9
Jason
Jason w=0.97
2 scoring events · 13% of moves
+15.7 → net +15.7
Brad Gerstner
Brad Gerstner w=0.95 regular guest ×1.0
1 scoring event · 10% of moves
+12.0 → net +12.0
Sacks
Sacks w=0.89
1 scoring event · 8% of moves
+9.8 → net +9.8

⏳ decay drained -89.6 over the idea's life — that's time passing, attributed to no one

Score events

episodekindΔafternote
E85 2022-06-30 init +36.4 36.4 E85 born by Friedberg (explicit_prediction x3) [w=0.87]
E85 2022-06-30 reinforce +14.4 50.8 E85 Chamath support x3 (new voice) [w=0.84]
E85 2022-06-30 reinforce +9.8 60.6 E85 Sacks support x2 (new voice) [w=0.89]
E85 2022-06-30 reinforce +8.6 69.2 E85 Jason support x2 (new voice) [w=0.97]
E86 2022-07-08 decay -2.8 66.4 E86 silent
E87 2022-07-14 decay -2.7 63.8 E87 silent
E88 2022-07-22 decay -2.6 61.2 E88 silent
E89 2022-07-29 decay -2.4 58.8 E89 silent
E90 2022-08-05 decay -2.4 56.4 E90 silent
E91 2022-08-13 decay -2.3 54.2 E91 silent
E92 2022-08-20 decay -2.2 52.0 E92 silent
E93 2022-08-26 decay -2.1 49.9 E93 silent
E94 2022-09-01 decay -2.0 47.9 E94 silent
E95 2022-09-10 decay -1.9 46.0 E95 silent
E96 2022-09-17 decay -1.8 44.2 E96 silent
E97 2022-09-23 decay -1.8 42.4 E97 silent
E98 2022-10-01 reinforce +9.0 51.4 E98 Friedberg support x3 [w=0.87]
E98 2022-10-01 reinforce +7.1 58.5 E98 Jason support x2 [w=0.97]
E98 2022-10-01 reinforce +5.2 63.7 E98 Chamath support x2 [w=0.84]
E99 2022-10-07 decay -2.5 61.1 E99 silent
E100 2022-10-14 decay -2.4 58.7 E100 silent
E101 2022-10-22 decay -2.3 56.3 E101 silent
E102 2022-10-29 reinforce +5.5 61.8 E102 Chamath support x2 [w=0.84]
E103 2022-11-05 decay -2.5 59.4 E103 silent
E105 2022-11-19 reinforce +5.1 64.5 E105 Chamath support x2 [w=0.84]
E106 2022-12-03 decay -2.6 61.9 E106 silent
E107 2022-12-10 decay -2.5 59.4 E107 silent
E108 2022-12-16 reinforce +5.3 64.7 E108 Friedberg support x2 [w=0.87]
E109 2022-12-24 decay -2.6 62.1 E109 silent
E110 2023-01-06 decay -2.5 59.6 E110 silent
E111 2023-01-13 decay -2.4 57.2 E111 silent
E112 2023-01-20 decay -2.3 54.9 E112 silent
E113 2023-01-27 decay -2.2 52.7 E113 silent
E114 2023-02-04 decay -2.1 50.6 E114 silent
E115 2023-02-11 decay -2.0 48.6 E115 silent
E116 2023-02-17 decay -1.9 46.7 E116 silent
E118 2023-03-03 reinforce +6.7 53.4 E118 Chamath support x2 [w=0.84]
E118 2023-03-03 reinforce +12.0 65.4 E118 Brad Gerstner support x3 (new voice) [w=0.95]
E119 2023-03-11 decay -2.6 62.8 E119 silent
E120 2023-03-17 decay -2.5 60.3 E120 silent
E121 2023-03-24 decay -2.4 57.8 E121 silent
E122 2023-03-31 decay -2.3 55.5 E122 silent
E123 2023-04-07 decay -2.2 53.3 E123 silent
E124 2023-04-14 decay -2.1 51.2 E124 silent
E125 2023-04-21 decay -2.0 49.1 E125 silent
E126 2023-04-28 decay -2.0 47.2 E126 silent
E128 2023-05-12 decay -1.9 45.3 E128 silent
E129 2023-05-19 decay -1.8 43.5 E129 silent
E130 2023-05-26 decay -1.7 41.7 E130 silent
E131 2023-06-02 decay -1.7 40.1 E131 silent
E132 2023-06-10 decay -1.6 38.5 E132 silent
E133 2023-06-16 decay -1.5 36.9 E133 silent
E134 2023-06-24 decay -1.5 35.4 E134 silent