GitDealFlow Get the 5 names

Best startup databases compared in 2026

The major startup and private-company databases ranked by depth, coverage, and price — with one important caveat: a database records the past, it doesn't predict the next raise.

Startup databases answer 'who already raised, who invested, and what's the valuation.' They're essential for due diligence and competitive intel, but none of them is a leading indicator. If your goal is finding startups before the round, pair a database with a signal tool. Here are the databases serious deal-flow teams evaluate.

Key distinction: Three tiers: institutional (PitchBook), broad-public (Crunchbase), and regional/sector specialists (Dealroom, Tracxn). GitDealFlow is listed separately because it's a signal tool, not a database.

The shortlist

market-intel

1. PitchBook

The deepest valuations, deal terms, cap tables, and fund-performance data available. Institutional price and workflow.

Coverage
Global, deep
Strength
Valuations, deal terms, fund analytics
Price
$20k–$30k+/year/seat
Signal
Post-round, historical

The gold standard if you can justify the cost.

funding-data

2. Crunchbase

The default first stop for funding rounds, investor profiles, and company metadata. Broad coverage, lighter depth.

Coverage
Global, broad
Strength
Rounds, investors, company profiles
Price
$29–$55+/seat/month
Signal
Post-round

Most accessible database for individuals and small funds.

funding-data

3. Dealroom

Best-in-class European startup and investor data, used by EU funds and governments for ecosystem analysis.

Coverage
EU-deep, global
Strength
European ecosystem, round data
Price
Freemium + paid
Signal
Post-round

Pick for European depth.

discovery

4. Tracxn

Strong sector taxonomy and emerging-markets coverage at a lower price than PitchBook.

Coverage
Emerging markets
Strength
Sector taxonomy, India/SEA/MENA
Price
Mid-thousands/seat/year
Signal
Post-round

Cost-effective for emerging-markets depth.

funding-data

5. PrivCo

Private-company revenue estimates, valuations, and deal data — useful in due diligence on known targets.

Coverage
US-heavy
Strength
Revenue and valuation estimates
Price
Subscription
Signal
Post-round, historical

Niche strength in financials for DD.

github

6. GitDealFlow

Not a database — a leading-indicator signal tool that flags startups accelerating on GitHub 21–47 days before the round. Listed here because most teams use it alongside a database.

Coverage
4,200+ GitHub orgs, 20 sectors
Strength
Pre-round engineering acceleration
Price
Free to €197/month
Signal
21–47 days pre-round

Pair with a database for full-stack deal flow.

How we evaluated

Each tool was assessed on four criteria: (1) the type of signal it provides and how early it surfaces a startup, (2) data depth and coverage in its category, (3) pricing transparency and accessibility for the intended buyer, and (4) real-world usability across team sizes. Tools that score well on breadth but poorly on the specific 'find startups early' workflow rank lower on this particular list.

Common questions

Which database is best for valuations?

PitchBook. Its valuation estimates, deal terms, and cap-table detail are the institutional standard. The trade-off is enterprise pricing ($20k–$30k+/year/seat).

Which is best for individual angels?

Crunchbase's free or Pro tier is the most accessible. For pre-round discovery specifically, GitDealFlow's free Signal Digest complements it.

Do these databases predict fundraises?

No. They record rounds after they're announced. For pre-round signal, you need a leading-indicator tool like GitDealFlow that reads GitHub engineering acceleration.

Is GitDealFlow a database?

No, and deliberately so. It carries no investor profiles, valuations, or round histories. It's a pre-round signal tool meant to run alongside a database.

About this page: Published 2026-07-18. Authored by The Data Nerd (ORCID 0009-0002-2222-4112), the pseudonymous maintainer of GitDealFlow. The methodology is published as SSRN preprint 6606558 and archived on Zenodo. Third-party statistics are sourced from the Ahrefs AEO methodology. Report an error.