Phase 1 — Inputs
Structural conditions
Selected city index vs best predicted city
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Phase 2 — Founder base
Founder base & pipeline
Scenario multiplier vs baseline
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Baseline predicted investment
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Baseline observed investment
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Model fit (all cities)
Source: startmapheatmap.com
Phase 3 — Working modules
Startup support
Implied accelerated startups raising >$100k (numerator)
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Community
Market & investment climate
Synergy uplift (interplay)
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Cutting edge
Phase 4 — Outcome
Predicted investments
Scenario predicted investment (annual, 3y avg)
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Scenario index vs best predicted city
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Source: startmapheatmap.com
Cascade view (what drives the result)
Local decomposition vs the selected city baseline (largest contributions shown).
Source: startmapheatmap.com
Module multipliers (vs baseline)
Source: startmapheatmap.com
How calculations work
1) Slider → value: counts use a log mapping anchored on benchmark percentiles; ratings use linear mapping.
2) Program success rate: derived as (accelerated startups raising >$100k) / (accelerator participants).
3) Features: computed mostly as ln(1+x), then standardized to z-scores.
4) Prediction: log(1+Investment) = intercept + Σ(coef·z) + capped synergy uplift; Investment = exp(·)−1.
5) Recommendations: “Recommendation” buttons apply the highest local gain (+10 slider points) within the section.
2) Program success rate: derived as (accelerated startups raising >$100k) / (accelerator participants).
3) Features: computed mostly as ln(1+x), then standardized to z-scores.
4) Prediction: log(1+Investment) = intercept + Σ(coef·z) + capped synergy uplift; Investment = exp(·)−1.
5) Recommendations: “Recommendation” buttons apply the highest local gain (+10 slider points) within the section.
