Methodology · v1
Every match score is the weighted sum of five named dimensions. No black box, no proprietary AI ranking — you can reproduce any score on this page by hand. We publish the formula because a faith-driven, due-diligence-minded audience deserves it.
For each of your verticals, we check whether the investor lists it (after normalizing aliases like "deep tech" → "Deep Tech"). Generalists — funds that explicitly say "industry-agnostic" or "love crazy ideas" — score a flat 70 instead of zero.
A 100% score means every vertical you picked overlaps with theirs. Below 50% means they may not have a thesis for what you build.
Stage match is the most decisive predictor of an investment actually happening. We don't soften it — a Series A fund will not lead your pre-seed, even if every other dimension scores 100%.
If your stage isn't set on your profile, this dimension scores 0 and pulls the total down. Set it.
If your ask falls inside their typical check range, full marks. If you're below, you score proportionally — they may write a smaller check but it's a stretch. If you're above, you also score proportionally — they'll likely follow, not lead.
Investors with no published check size get a neutral 50 — the data's missing, not bad.
If you need a lead and they lead rounds: 100. If you need a lead and they're flexible: 70. If you need a lead and they don't lead: 20. If you don't need a lead, this dimension is permissive (80) — they're not the bottleneck.
Lower weight (10%) because it's a soft signal — flexible funds will lead the right deal even if their public stance is "follow".
How often the investor has actually invested off cold inbound, scaled. Zero confirmed cold investments scores 40 — not a hard "no", just unproven for cold paths.
Lower weight on purpose. The right warm intro beats this dimension entirely; we're really measuring "is email a viable path".
Total = Verticals·0.30 + Stage·0.25 + CheckSize·0.25 + LeadFit·0.10 + ColdFriendly·0.10. Rounded to the nearest integer.
A seed-stage health-AI founder raising $500K, needs a lead. We compute their score against a fictional generalist seed fund.
Two investors with identical scores can have wildly different odds of replying. A warm intro from a portfolio founder beats every dimension on this page combined.
Stages, check sizes, and lead behavior come from public sources and direct submissions. We re-verify on a rolling basis but a fund's thesis can change between cycles.
We don't mathematically score faith alignment because forcing a number on values invites bad incentives. Instead, your faith and values determine which investors enter the matching universe in the first place.
Every score on this page can be reproduced by hand from the inputs. That's the point. It also means the score is only as good as the question — a 95% match is a starting point for diligence, not a verdict.
The math is the same whether your match is 38% or 92%. Build your profile and run it.
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