Startup Partnership • 2025-2026
Pythia: Quant Intelligence for Prediction Markets
Pythia gives prediction market traders the edge they've been missing. Track markets across Polymarket, Kalshi,
and Manifold in real-time. Spot inefficiencies with signal heatmaps. Follow top traders. Set custom alerts. Run automated bots. All in one terminal. Stop manually scanning hundreds of markets. Start finding alpha before it's gone. Professional quant tools, built for degens who actually trade.
pythia.
Overview
Built analytics UX that reduced research time by 52%, improved position-tracking efficiency by 40%, and generated $80K+ in simulated trading volume. Now targeting 500 early traders and $5M monthly volume at MVP launch.
Role: Lead Product Designer
Scope: Dashboards, Alpha Discovery, UX
Timeline: 3 months (concept → launch)
Stack: Figma, Next.js, Dune API, Framer Motion
Context
Pythia is a trading-intelligence platform for prediction markets, designed to help independent traders analyze data, identify signals, and make informed positions faster. While institutional traders use quant-grade dashboards, indie traders often stitch insights together across scattered data sources.
After interviewing 25 active traders, I learned that they weren’t losing because they lacked intelligence, they were losing because their tools were built for machines, not humans. They spent hours hopping between Discords, dashboards, and spreadsheets, piecing together clues instead of building conviction.
The challenge: level the playing field by reducing cognitive latency; the gap between seeing data and knowing what to do.
My Role & Approach
I owned end-to-end analytics UX and visualization architecture, working closely with quant engineers to turn raw deltas into readable signals. The goal was to design a component system flexible enough to visualize any data source without breaking clarity.
Through early research, three behavioral patterns emerged:
- Traders wanted to spot unusual volume or sentiment shifts before everyone else.
- The most profitable trades came from cross-referencing multiple signals fast.
- Position tracking was still done manually in spreadsheets.
Solution
Alpha Discovery Feed: Real-time stream of market anomalies, unusual volume, sentiment shifts, and mispriced probabilities, translated into plain language. Traders spot opportunities the moment they emerge, in words they actually understand.
Market Overview: Liquidity, sentiment, and volatility summarized in a single heat map. Cross-market correlation analysis reveals how different events influence each other, helping traders connect dots others miss.
Portfolio Intelligence: Unified PnL view with a confidence meter informed by historical accuracy. It aggregates all open positions, calculates unrealized PnL, and triggers prototype automation when thresholds are reached.
Impact
Across 12 prototype iterations:
- 52% faster research as traders stopped scanning multiple dashboards manually
- 40% improved position tracking via unified portfolio + alert system
- $80K+ simulated test volume during live sessions
- MVP positioned for Q1 2026 launch, aiming for 500 early traders and $5M monthly volume
- Top trading communities requested early access after demos
This project reinforced a core belief: good tools don’t add features, they remove friction. Traders don’t need more dashboards; they need confidence that they’re seeing what matters, when it matters. The more we removed, the smarter Pythia felt. That’s the paradox of good intelligence systems.
"Bloomberg Terminal for people who still have a sense of humor."
— Trader feedback during testing
Startup Partnership • 2025-2026
Pythia: Quant Intelligence for Prediction Markets
Pythia gives prediction market traders the edge they've been missing. Track markets across Polymarket, Kalshi,
and Manifold in real-time. Spot inefficiencies with signal heatmaps. Follow top traders. Set custom alerts. Run automated bots. All in one terminal. Stop manually scanning hundreds of markets. Start finding alpha before it's gone. Professional quant tools, built for degens who actually trade.
pythia.
Overview
Built analytics UX that reduced research time by 52%, improved position-tracking efficiency by 40%, and generated $80K+ in simulated trading volume. Now targeting 500 early traders and $5M monthly volume at MVP launch.
Role: Lead Product Designer
Scope: Dashboards, Alpha Discovery, UX
Timeline: 3 months (concept → launch)
Stack: Figma, Next.js, Dune API, Framer Motion
Context
Pythia is a trading-intelligence platform for prediction markets, designed to help independent traders analyze data, identify signals, and make informed positions faster. While institutional traders use quant-grade dashboards, indie traders often stitch insights together across scattered data sources.
After interviewing 25 active traders, I learned that they weren’t losing because they lacked intelligence, they were losing because their tools were built for machines, not humans. They spent hours hopping between Discords, dashboards, and spreadsheets, piecing together clues instead of building conviction.
The challenge: level the playing field by reducing cognitive latency; the gap between seeing data and knowing what to do.
My Role & Approach
I owned end-to-end analytics UX and visualization architecture, working closely with quant engineers to turn raw deltas into readable signals. The goal was to design a component system flexible enough to visualize any data source without breaking clarity.
Through early research, three behavioral patterns emerged:
- Traders wanted to spot unusual volume or sentiment shifts before everyone else.
- The most profitable trades came from cross-referencing multiple signals fast.
- Position tracking was still done manually in spreadsheets.
Solution
Alpha Discovery Feed: Real-time stream of market anomalies, unusual volume, sentiment shifts, and mispriced probabilities, translated into plain language. Traders spot opportunities the moment they emerge, in words they actually understand.
Market Overview: Liquidity, sentiment, and volatility summarized in a single heat map. Cross-market correlation analysis reveals how different events influence each other, helping traders connect dots others miss.
Portfolio Intelligence: Unified PnL view with a confidence meter informed by historical accuracy. It aggregates all open positions, calculates unrealized PnL, and triggers prototype automation when thresholds are reached.
Impact
Across 12 prototype iterations:
- 52% faster research as traders stopped scanning multiple dashboards manually
- 40% improved position tracking via unified portfolio + alert system
- $80K+ simulated test volume during live sessions
- MVP positioned for Q1 2026 launch, aiming for 500 early traders and $5M monthly volume
- Top trading communities requested early access after demos
This project reinforced a core belief: good tools don’t add features, they remove friction. Traders don’t need more dashboards; they need confidence that they’re seeing what matters, when it matters. The more we removed, the smarter Pythia felt. That’s the paradox of good intelligence systems.
"Bloomberg Terminal for people who still have a sense of humor."
— Trader feedback during testing
Startup Partnership • 2025-2026
Pythia: Quant Intelligence for Prediction Markets
Pythia gives prediction market traders the edge they've been missing. Track markets across Polymarket, Kalshi,
and Manifold in real-time. Spot inefficiencies with signal heatmaps. Follow top traders. Set custom alerts. Run automated bots. All in one terminal. Stop manually scanning hundreds of markets. Start finding alpha before it's gone. Professional quant tools, built for degens who actually trade.
pythia.
Overview
Built analytics UX that reduced research time by 52%, improved position-tracking efficiency by 40%, and generated $80K+ in simulated trading volume. Now targeting 500 early traders and $5M monthly volume at MVP launch.
Role: Lead Product Designer
Scope: Dashboards, Alpha Discovery, UX
Timeline: 3 months (concept → launch)
Stack: Figma, Next.js, Dune API, Framer Motion
Context
Pythia is a trading-intelligence platform for prediction markets, designed to help independent traders analyze data, identify signals, and make informed positions faster. While institutional traders use quant-grade dashboards, indie traders often stitch insights together across scattered data sources.
After interviewing 25 active traders, I learned that they weren’t losing because they lacked intelligence, they were losing because their tools were built for machines, not humans. They spent hours hopping between Discords, dashboards, and spreadsheets, piecing together clues instead of building conviction.
The challenge: level the playing field by reducing cognitive latency; the gap between seeing data and knowing what to do.
My Role & Approach
I owned end-to-end analytics UX and visualization architecture, working closely with quant engineers to turn raw deltas into readable signals. The goal was to design a component system flexible enough to visualize any data source without breaking clarity.
Through early research, three behavioral patterns emerged:
- Traders wanted to spot unusual volume or sentiment shifts before everyone else.
- The most profitable trades came from cross-referencing multiple signals fast.
- Position tracking was still done manually in spreadsheets.
Solution
Alpha Discovery Feed: Real-time stream of market anomalies, unusual volume, sentiment shifts, and mispriced probabilities, translated into plain language. Traders spot opportunities the moment they emerge, in words they actually understand.
Market Overview: Liquidity, sentiment, and volatility summarized in a single heat map. Cross-market correlation analysis reveals how different events influence each other, helping traders connect dots others miss.
Portfolio Intelligence: Unified PnL view with a confidence meter informed by historical accuracy. It aggregates all open positions, calculates unrealized PnL, and triggers prototype automation when thresholds are reached.
Impact
Across 12 prototype iterations:
- 52% faster research as traders stopped scanning multiple dashboards manually
- 40% improved position tracking via unified portfolio + alert system
- $80K+ simulated test volume during live sessions
- MVP positioned for Q1 2026 launch, aiming for 500 early traders and $5M monthly volume
- Top trading communities requested early access after demos
This project reinforced a core belief: good tools don’t add features, they remove friction. Traders don’t need more dashboards; they need confidence that they’re seeing what matters, when it matters. The more we removed, the smarter Pythia felt. That’s the paradox of good intelligence systems.
"Bloomberg Terminal for people who still have a sense of humor."
— Trader feedback during testing