Prospect provides software tools to help employees manage and optimize their private stock and equity holdings. The platform offers personalized strategies for option exercise, AMT credit harvesting, and tax-efficient selling to maximize post-tax equity value. Users benefit from predictive modeling and automated reminders to ensure timely, financially advantageous equity decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Startup job seekers lack transparent, data-driven insights into the potential value of equity compensation, making it difficult to assess and compare job offers effectively. Traditional methods rely on limited information and subjective assessments, leaving candidates uncertain about the financial upside of joining a startup.
Solution
Prospect provides a machine-learning model that generates independent equity value projections for startup job seekers, enabling them to evaluate potential financial returns from job offers. The platform aggregates and analyzes data points, including funding rounds, revenue, employee count, and growth rates, to estimate potential exit valuations and equity payouts. By offering data-backed projections, Prospect empowers candidates to make informed decisions about equity compensation and navigate the competitive startup job market with greater confidence. The platform aims to bring transparency and objectivity to the opaque world of startup equity.
Target Audience
The primary target audience is startup job seekers who want to understand the potential value of their equity compensation and make informed decisions about job offers.
Features
- Machine-learning model for projecting startup equity value based on key company metrics
- Aggregated data from various startups, including funding, revenue, and employee information
- Equity rating system to assess the potential return on equity for different companies
- Risk assessment based on stage, funding, and market conditions
- Filters for stage, location, risk, and other relevant criteria