o1 FDV above ___ one day after launch?
Leader sits at 77% across 7 bound outcomes, runner-up at 47%. This is a winner-take-all market — the headline is the leader’s price, not an arithmetic mean.
Leader probability
$100M
Outcomes
7
winner-take-all
Runner-up
47¢
$300M
Spread
30pp
contested
24h volume
$53
thin orderbook
Closes
Jan 1, 2028
602 days
Venue
Polymarket
7 bound
30-day trend
Bracket family
How the bracket ladder is priced.
Each row is one outcome on the venue. Sorted by 24h volume — the heaviest book is at the top.
Cluster 1
o1 FDV above ___ one day after launch
o1 FDV above ___ one day after launch?: $100M
0xd638c6…c7e3
o1 FDV above ___ one day after launch?: $700M
0x1d0f4f…be0f
o1 FDV above ___ one day after launch?: $400M
0xfb9a43…d8aa
o1 FDV above ___ one day after launch?: $200M
0xf3400b…11e2
o1 FDV above ___ one day after launch?: $1B
0xeeb63b…dfea
o1 FDV above ___ one day after launch?: $500M
0x001684…1210
o1 FDV above ___ one day after launch?: $300M
0xf000e6…1de2
Analysis
This contract predicts that o1, an AI model, will have a fully diluted valuation (FDV) exceeding $100 million one day after its public launch. The 76% probability reflects trader confidence that this valuation threshold will be cleared relatively quickly. The outcome depends primarily on o1's initial market reception, including adoption metrics and early performance benchmarks compared to competitors. A secondary factor is the broader AI market momentum—valuations for comparable AI projects launched in similar market conditions would provide context. Resolution occurs immediately after o1's launch date is announced and one full day has passed, making this a near-term, binary event. The contract's high probability suggests traders expect strong initial demand, though the spread between this outcome (76%) and higher valuation thresholds like $500M (44%) indicates meaningful uncertainty about how aggressive the valuation will be.
- ›o1's demonstrated capabilities relative to existing models will directly influence early valuation; performance on benchmarks, speed, and competitive positioning are observable within 24 hours
- ›Initial user adoption and API usage rates during the first day post-launch are concrete metrics that typically correlate with early FDV in comparable launches
- ›Market sentiment for AI infrastructure and reasoning models at launch time will affect how aggressively early investors and traders value the token or equity
- ›Comparisons to recent AI model launches (valuation multiples of revenue, user metrics, or stated funding rounds) provide reference points for assessing $100M credibility
- ›The announced funding round size or pre-launch valuation guidance, if released, would reduce estimation variance and could shift probability materially
What moved the line
- May 6$300M↑10pp34→44¢ · Polymarket
- May 3$300M↓9pp43→34¢ · Polymarket
- May 2$300M↓6pp49→43¢ · Polymarket
- May 2$200M↑5pp38→43¢ · Polymarket
- May 2$500M↓4pp41→37¢ · Polymarket
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These markets stopped trading. Last odds and any captured outcome are shown above — full settlement detail lives at the venue.
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How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.
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