AI Engineer NYC 2026
Join AI Engineer and Major League Hacking (MLH) on Sunday, October 11, for a full day of building, experimenting, and meeting fellow AI engineers.
HedgeEdge
AI that hedges business risks on prediction markets.
About the project
How HedgeEdge Works
HedgeEdge turns election odds into decisions for your business.
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Company Research: Paste in a company’s website, and we use Nimble to research its filings, suppliers, import origins, and headquarters.
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Policy Impact Analysis: Gemini, or Snowflake Cortex as an alternative AI provider inside Snowflake, maps that research to the tariff, tax, labor, and trade policies most likely to affect the company’s costs.
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Prediction Market Screening: We screen more than 56,000 live Kalshi and Polymarket contracts to identify the races and policy markets tied to those risks.
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Candidate Position Verification: We check each candidate’s stated positions against real quotes.
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Hedge Analysis: Deterministic code calculates the worst-case and expected costs with and without a prediction-market hedge.
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Action Plan: We turn the results into a practical action plan to help your business manage policy uncertainty.
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Data Storage and Observability: Every analysis and its step results are stored in Tiger Data’s Postgres, and company relevant financial and operational data are stored in Snowflake, while Sentry traces each step of the pipeline, including Nimble calls and token usage.
Built with
AI tools
Prize Categories Entered
- Submitted

Best Use of Gemini API
AI agent workflow.
- Submitted

Best Use of Tiger Data
Storing Kalshi and Polymarket data
- Event prizeSubmitted
Best Overall
Business use cases + technical details in using AI functionality to the most of its capacity.
- Submitted

Best Use of Snowflake
Cortex AI + Storing finanial and operational data
- Event prizeSubmitted
Best Use of Nimble
For company and market research
- Event prizeSubmitted
Sentry Raffle
For monitoring agents.