🛢 BarrelProof Labs
AI Driven Structural Risk Intelligence for Modern Portfolios
🔥 Inspiration
- Modern investors don’t just hold assets they hold exposure
- Exposure to custodians, stablecoin issuers, tokenized infrastructure, regulatory jurisdictions, and hidden systemic dependencies
- Traditional apps answer “How much is my portfolio worth?”
- BarrelProof answers “Where is systemic fragility quietly building inside my portfolio?”
- As DeFi, cross-border custody, stablecoin concentration, and tokenized assets grow, risk becomes layered and interconnected
- BarrelProof was built to make that structure visible and actionable
🚀 What It Does
- BarrelProof is a portfolio intelligence app that turns holdings into an explainable structural risk map
- It aggregates assets across live crypto, tokenized products, and manual holdings like real estate or private capital
- It identifies concentration risk beyond asset percentages by modeling issuer, custodian, and jurisdiction exposure
- It surfaces hidden counterparty dependencies and correlated clusters
- It makes uncertainty explicit by including data confidence as part of the model
- It shifts users from performance vanity metrics to resilience decision-making
🧠 Core Innovation
- BarrelProof introduces multi-layer structural exposure modeling
- Asset layer models what you hold
- Custodian layer models where it sits
- Issuer layer models who backs it
- Jurisdiction layer models where it can be impacted
- Data confidence layer models how reliable the inputs are
- Layers are weighted and cross-analyzed to detect hidden single points of failure, false diversification, and regulatory clustering
- The result is deterministic and explainable, not a black box AI score
🛠 How We Built It
- Frontend built with Expo, React Native, and TypeScript using a modular scalable UI architecture
- Backend built on Supabase using PostgreSQL, Auth, and Storage with a structured exposure schema optimized for dependency queries
- Live pricing ingestion with resilient fallback handling
- Risk engine built with custom concentration algorithms and cross-layer dependency resolution
- Outputs are transparent and explainable, avoiding hallucinated AI scoring
💳 RevenueCat Monetization
- BarrelProof ships with a transparent Free vs Pro model
- Free includes basic tracking and baseline exposure insights
- Pro includes advanced layer analysis, deeper dependency mapping, and power features for serious portfolio resilience
- RevenueCat handles subscriptions, entitlements, and paywall logic
- This keeps feature gating clean, auditable, and scalable across platforms
🧱 Challenges
- Modeling risk without false precision or alarmism
- Representing uncertainty as a feature users can act on
- Designing exposure metrics that scale across assets and dependencies
- Keeping mobile UX clean despite analytical depth
- Maintaining real-time performance with live pricing and layered analysis
🌍 Impact
- Digital finance risk is fragmented and often invisible in standard portfolio trackers
- BarrelProof reduces blind concentration risk and improves exposure transparency
- It supports rational decision-making under uncertainty
- It helps users anticipate systemic failures before they show up on price charts
- It shifts portfolio tracking from performance obsession to structural resilience intelligence
🔮 Future Direction
- Time-evolving systemic risk tracking
- Diversification simulations and rebalancing scenarios
- Expanded asset class modeling for stocks, ETFs, and funds
- Institutional grade export and reporting
- Multi-device secure sync
Built With
- custom-risk-&-diversification-engine
- expo-(react-native)
- ios
- modular-portfolio-architecture
- real-time-pricing-services
- rest-apis
- revenuecat
- testflight
- typescript
- zustand
Log in or sign up for Devpost to join the conversation.