DEMO PREVIEW — Markets and probabilities shown are sample data, not real model output. Our ML engine is in development.

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← Back RESEARCH / TECH / KALSHI

OpenAI reports >$25B in annualized revenue by Q4 2026

B CONFIDENCE

Sample market — design preview only. No real model output. The probabilities, edge, confidence grade, drivers and chart below are placeholder data while our ML engine is in development. Get notified at launch.

MARKET
44.0%
MODEL
57.0%
EDGE
+13.0pp
Sample data
VOL $620k · 14d range 37% – 51%
MODEL · IN DEVELOPMENT
·
Read the planned methodology
60-DAY PROBABILITY · MARKET vs MODEL
MARKET
MODEL
7D 30D 60D ALL
36% 43% 50% 57% 64%
WHAT'S DRIVING THIS
Top-weighted features in the current model fit. Direction shown vs. baseline market price; magnitude is shapley-normalized contribution.
Enterprise seat-count run-rate +180% YoY
↑ 58%
API token-volume telemetry (proxy)
↑ 46%
Consumer price-ladder change (Pro tiers)
↑ 33%
Competitive pressure on margin (Anthropic, GDM)
↓ 31%
Feature pipeline: ~140 inputs across rate-curve, options, macro prints, and platform-level liquidity. Refit nightly at 03:30 UTC.
HONEST READ
MODEL CONFIDENCE 90% CI: 51% – 63%
BRIER (TECH) 0.218
VS MARKET BASELINE -0.004
RESOLVED IN CATEGORY 174
We have measurable edge in tech over 174 resolved markets. Edge ≠ certainty — the 90% CI is wide because base rates here are noisy.
COMPARABLE HISTORICAL EVENTS
N = 3
Date Question Outcome Our model said
2024-12-31 OpenAI ARR >$3B by EOY 2024 YES 81%
2025-12-31 OpenAI ARR >$15B by EOY 2025 YES 66%
2025-06-30 Anthropic ARR >$3B by Q2 2025 YES 58%

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NOT FINANCIAL ADVICE. MODELS CAN BE WRONG. RISK OF TOTAL LOSS.
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