pitchbook is the default database of record for private markets - and if you source early-stage or crypto deals, you've probably noticed two things: the companies you care about show up after they raise, and the seat costs enterprise money (~$25k+/yr per seat is commonly cited). here's what to use instead, by the job you're hiring it for.
the core problem: records vs signal
pitchbook answers "what happened" - announced rounds, valuations, fund performance. it structurally cannot answer "what's about to happen," because its inputs are announcements and filings. for an early-stage investor the edge is upstream of the announcement. different job, different tool.
the alternatives
frontrun - for hearing about companies first
$99/mo, 7-day free trial. frontrun tracks the follow graphs of 1,000+ venture investors on X and flags companies when tracked investors converge on them - usually months before any database has a record to keep:
- @techdollarhq - flagged feb 23 at 13 followers. $3M pre-seed announced 123 days later.
- @orthogonal_sh - flagged 184 days before a $4.3M round led by Pantera.
- @impeccable_ai - flagged 75 days before a seed led by a16z.
daily reports, live feed, semantic thesis search, api + mcp for agents. crypto-native roots, growing ai/robotics/fintech coverage. it will not give you fund benchmarks or comps - it gives you the deals before they're deals. a public slice is free on the trending page.
harmonic - for index-scale coverage with agentic search
if what you miss in pitchbook is coverage of companies that haven't raised yet, harmonic's formation-tracking index is the strongest option - enterprise-priced (reported ~$26k/yr) and trad-vc flavored. full breakdown: harmonic alternatives.
crunchbase - for cheap lookups
from ~$49/user/mo. self-reported and retrospective, but fine as a lightweight record layer if pitchbook's price is the only problem.
surf (asksurf.ai) - for crypto market data in agents
agent-native crypto data aggregator (market, on-chain, social, fund data) over api + mcp. it's market-state data rather than deal sourcing, but for crypto funds building research agents it covers the "what is the market doing" half well.
the stack that actually works for early-stage
most early-stage crypto/ai funds we see end up running:
- a signal layer for sourcing (frontrun - $99/mo)
- a record layer for diligence and comps (crunchbase if cheap, pitchbook if the fund already pays for it)
- optionally a market layer in their agents (surf for crypto market state)
that whole stack costs less than one pitchbook seat, and the sourcing edge comes from the layer pitchbook doesn't have.
faq
can frontrun replace pitchbook? for sourcing, yes and then some. for fund performance data, comps, and lp reporting - no, keep a record tool.
does frontrun have funding data? it verifies raises for flagged companies from primary sources (the announcement itself), with lead-time math from flag to raise. it is not a comps database.
what does "flagged" mean? the timestamp when tracked investors first converged on a company - recorded provenance, so the "before the round" claim is checkable per company.
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