Sentiment Data API
I participated in the prestigious Antler Incubator program, validating a B2B sentiment analysis solution designed to integrate real-time market intelligence into institutional trading desks and professional data platforms.
Client
Year
2022
Industry
Startup Accelerator
Role
Challenge
Validating a B2B sentiment analysis model for high-security institutional trading desks.
Building initial product trust and credibility with high-net-worth and banking clientele.
Defining a clear, scalable subscription and licensing revenue model for data products.
Integrating complex, real-time news data into existing bank trading systems via API.
Solution
Market Validation: Executed a structured validation process, conducting key interviews with target institutional traders.
Product Strategy: Designed the core sentiment data API and determined the seamless integration architecture for data suites.
Financial Modeling: Developed and iterated on scalable financial models, unit economics, and total addressable market (TAM) analysis.
Impact
Showcased a scalable API framework that helps firms integrate real-time emotional insights into trading models, research platforms, or risk dashboards.
Elevated the potential for faster, more informed decision-making by transforming raw text into structured, investment-ready sentiment data.
Attracted interest from high-frequency trading firms and crypto data platforms, securing trial sign-ups during early concept validation.
Deliverables
Investor Pitch Deck and Financial Forecasts
High-Fidelity MVP / Product Prototype
Comprehensive Market Validation and TAM Analysis Reports
