Leaderboard Calculation

1. Growth Velocity Score

This pipeline measures hiring efficiency by comparing a company against the market and mathematically filtering out the noise of tiny startups.

Step 1: Identify Company Deltas Extract the raw hiring data for a single company for the current month.

• CurrentE: Current month’s total headcount.
• PrevE: Previous month’s total headcount.
• DeltaE: The raw change (CurrentE - PrevE).

Step 2: Calculate Market Constants Query the entire database for that specific month to establish the market baseline.

• MarketMean: The average percentage growth of all companies this month.
• MarketAnchor: The 75th percentile of headcount across the market. This acts as the mathematical weight to prevent tiny startups from skewing results.

Step 3: Bayesian Shrinkage (Adjusted Growth) Combine the company's data with the market constants. This shrinks unproven companies toward the average and rewards established companies scaling quickly.

Step 4: Softsign Scaling Convert the adjusted decimal into a human-readable 0–100 score. The multiplier of 20 stretches the distribution so the results are visible and well-separated.

2. Viral/Hype Score

This pipeline measures social virality while applying a "fame tax" so massive global brands don't dominate the leaderboard via passive organic growth.

Step 1: Data Preparation & Delta Extraction Extract the raw social metrics for the target company for the current month.

• CurrentF: Current month’s total follower count.
• PrevF: Previous month’s total follower count.
• DeltaF: The raw net change (CurrentF - PrevF).

Step 2: Apply the Network Dampener (Gravity) Calculate the "network gravity" to tax larger companies. The +1 is a safety offset to prevent division by zero.

• Gamma: A fixed constant set to 0.5 (representing a square root).
• RawHype: The raw hype signal, calculated as: $RawHype = \frac{DeltaF}{(PrevF + 1)^{0.5}}$

Step 3: Calculate Market Baseline (Market Standardization) Compare the raw signal against the entire market's performance for that specific month.

• MeanHype: The average RawHype for all companies this month.
• StdDevHype: The spread of RawHype for all companies this month. (Note: If this value is 0 or NaN, treat it as 1 to prevent errors).
• AdjustedHype: The Z-Score, representing how many standard deviations the company is from the average. $AdjustedHype = \frac{RawHype - MeanHype}{StdDevHype}$

Step 4: Activation and Scaling Convert the adjusted score into a readable 0–100 score using a 1.5 multiplier to stretch the distribution. $HypeScore = \left( \frac{AdjustedHype \cdot 1.5}{1 + |AdjustedHype \cdot 1.5|} \right) \times 100$

3. Funding Score and Funding Leaderboard Calculation

This pipeline ranks funding events by blending cash efficiency (Capital Density) with the company’s existing operational momentum. It only triggers when a new funding event is detected.

Step 1: Funding Event Detection

• IsNewFund: A boolean check. True if current funding rounds > previous funding rounds OR current funding amount > previous funding amount.
• NewCashRaised: The delta of total cash raised (Current Total Amount - Previous Total Amount). Clipped at a minimum of 0.

Step 2: Allometric Capital Density Measure the "intensity" of the round. A small team raising a large amount is mathematically denser than a giant enterprise raising the same amount. (Note: PrevE is clipped at 1 to prevent division by zero).$CapitalDensity = \frac{\ln(NewCashRaised + 1)}{\ln(PrevE + 1)}$

Step 3: Density Normalization Judge the capital density strictly against other funding events occurring in the same month.

• MeanDensity: The average CapitalDensity of all companies that raised money this month.
• StdDevDensity: The spread of CapitalDensity for the monthly funding cohort.
• AdjustedDensity: The Z-Score of the density. $AdjustedDensity = \frac{CapitalDensity - MeanDensity}{StdDevDensity}$
• DensityScore: Pass through the Softsign function with a 1.5 multiplier to scale from 0–100. $DensityScore = \left( \frac{AdjustedDensity \cdot 1.5}{1 + |AdjustedDensity \cdot 1.5|} \right) \times 100$

Step 4: The Catalyst Blend The final score is a weighted fusion of the specific funding event and the company’s trailing operational momentum.

• RoundWeight: A value from 0.0 to 1.0 based on the round tier (e.g., Series A = 1.0, Seed = 0.8, Debt = 0.3).
• FundingScore: $FundingScore = (RoundWeight \cdot 40) + (DensityScore \cdot 0.30) + (ExecutionScore \cdot 0.20) + (HypeScore \cdot 0.10)$