Is this startup
Is this startup
the next unicorn?
the next unicorn?
Data-driven scoring model. No noise, no fluff. Only what has been proven to predict success.
Scoring Dimensions
Market size, team strength, product-market fit, traction, and competitive moat. Each weighted and scored independently.
Instant Analysis
Comprehensive analysis across hundreds of data points in seconds.
PDF Reports
Export detailed reports with scoring breakdowns.
Enter a startup
Paste the startup name into the search bar.
We analyze it
Our model researches across hundreds of data points.
Get your score
Receive a score out of 100 with a full breakdown.
Data-Driven
Red flags detection, founder pedigree analysis, and qualitative signals most screeners miss.
How the Scoring Works
Enter a startup
Paste the startup name into the search bar.
We analyze it
Our model researches across hundreds of data points.
Get your score
Receive a score out of 100 with a full breakdown.
Standing on the shoulders of giants
Our scoring model is built upon the research and methodologies of these three pioneers in venture capital.
Ilya Strebulaev & Alex Dang
Stanford GSB Professors
Author of The Venture Mindset – How to Make Smarter Bets and Achieve Extraordinary Growth
Data-driven research on what actually predicts venture success.
Jason Calacanis
Angel Investor
Author of Angel – How to Invest in Technology Startups
The founder-first philosophy: back exceptional people above all else.
Jared Heyman
General Partner, Rebel Fund
Proving that systematic, data-driven investing consistently outperforms intuition.
Venture returns follow the Power Law: ~2% of startups generate most returns. Our goal is to multiply by 2–3x the number of unicorns identified in your portfolio.
“I devoured every VC book and academic paper I could find to build this scoring model. It's not perfect, but it's the closest to what research and founder psychology can offer. Every parameter was carefully chosen, and the model is in continuous improvement.”
Frequently Asked Questions
Unicorn Screener evaluates startups on their potential to become billion-dollar companies. It gathers public data and applies a rigorous scoring methodology to surface the most promising opportunities.
Our proprietary scoring model evaluates startups across five key dimensions: Founder Background, Qualitative Questions, Execution Velocity, Traction Momentum, and Market & Scalability. The exact methodology is confidential, but it is inspired by peer-reviewed research from Stanford professor Ilya Strebulaev ("The Venture Mindset"), algorithmic data from Rebel Fund, and the contrarian investing principles of Jason Calacanis ("Angel").
Venture capital returns follow the Power Law: roughly 2-3% of startups generate the vast majority of returns. Our scoring identifies the predictive signals that separate potential outliers from the rest, validated by academic research and data from top-performing funds. We deliberately kept the model simple — we believe that to make good decisions, you need to cut through the noise, not add to it. Only what truly predicts success stays in. Keep It Simple.
We cannot guarantee the accuracy of any screening result — no model can. That said, we test and refine the screener daily, and every data point we track has been selected with great care based on what academic research and top-performing investors have shown to actually predict success. Unicorn Screener is an excellent first filter to help you make faster, more informed decisions. It is a powerful tool — but it is not a substitute for deep due diligence. Always do your own research before making any investment decision.
We aggregate publicly available data: LinkedIn profiles, Crunchbase, corporate websites, news articles, and more. The Accuracy Score on each report indicates how complete the data was. No private or confidential information is accessed. The exact weighting and combination of our data points remain proprietary — we keep the inner workings of our model confidential to preserve its integrity.
Unicorn Screener is designed for angel investors, VCs, startup founders benchmarking their competition, and anyone curious about a startup's potential. Whether you're evaluating a deal or researching a company, you get an instant, data-driven analysis.
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