Why does Fund X
rank above Fund Y?

Three things decide the order. That's it.

1.

Have they actually backed companies like yours?

We look at what funds have actually invested in— not what they claim on their website. A fund with 40 fintech bets ranks above one with 2, even if both call themselves “fintech-focused.” Pattern of conviction matters more than marketing copy.

2.

Does their cheque size actually fit?

Only funds whose cheque range covers your raise make it through. Within that, a fund whose typical cheque is closest to what you're raising ranks higher — because you're more likely to be a meaningful bet for them, not too small to care about or too large to lead.

Sector fit always wins over ticket fit. A fund that's backed 30 companies in your space with a slightly off cheque size beats a fund with a perfect cheque but zero portfolio overlap. Funds with unverified cheque data are flagged — so you know when a match is data-backed vs. assumed.

3.

Are there semantically similar bets in their portfolio?

When you describe your startup, we embed your one-liner and compare it against 45,000+ portfolio companies using AI — not tag matching. “AI-powered legal workflow automation” finds funds that backed adjacent companies even if their label just says “Enterprise SaaS.” The similar companies show up directly on each card.

Sector matching also understands adjacency — a Deep Tech fund gets partial credit for an AI founder's search, and a Consumer fund surfaces for Agritech. Direct matches still rank higher; adjacent matches fill the gaps without false positives.

Worth knowing

  • No paid placementsFunds cannot pay to rank higher. Ever.
  • Stage conviction mattersA fund that leads with Pre-Seed as their primary stage ranks above one that lists it fourth. Same filter, better signal.
  • No keyword games"Fintech" won't surface a fund just because their website says it once.
  • Unknowns are flagged, not hiddenFunds with missing cheque size data still appear but are marked "Cheque unverified" — you can see exactly where the data is solid and where to verify yourself.