Data
Private-market databases, founder graphs, and registry-grade intel — the raw material every Indian VC memo is forged from.
The Brief
Data tools are the substrate of every workflow inside a fund: sourcing pipelines, comp pulls before a term sheet, sector mapping for thesis work, valuation triangulation, and the citation layer that turns a partner's hunch into an IC-ready memo. The serious shift in the last 18 months is upstream — stealth detection from GitHub commits, domain registrations, and LinkedIn delta signals now beats waiting for a TechCrunch post by six to nine months. The fund that sees the founder first usually wins the round.
India breaks the global playbook. Tracxn is the benchmark for Indian coverage with a clean UI; Venture Intelligence has strong coverage but a weaker UI; PrivateCircle is improving fast. LinkedIn Sales Navigator has a data set you can't buy anywhere else. EverTrace is genuinely strong on stealth founders and the founder graph. Crunchbase, CB Insights, and PitchBook thin out fast below Series B; Preqin is its own world for LP and fund data. MCA and RoC filings remain the only real source for cap-table and ESOP truth. Series A and below is still mostly opaque — expect to triangulate three sources for any number you put in writing.
How to approach this stack
How to approach this stack — depending on where your firm is.
- BeginnerTracxn or Crunchbase plus LinkedIn Sales Navigator. Tracxn for India coverage and clean UI; LinkedIn for the data set nothing else has.
- IntermediateAdd Venture Intelligence and PrivateCircle for deeper India depth. Stack by job: stealth founders go to EverTrace; Indian early-stage to Tracxn or VI; LP database to Preqin.
- AdvancedHarmonic and EverTrace for predictive signal; CB Insights or PitchBook for global benchmarking; Sanchi Connect for India-LP intel. Everything wired into your CRM via Clay or direct connectors so analysts stop re-keying.
What to look for when buying
What separates a good data from a bad one for a venture fund.
- 01India coverage depth.Test the platform on twenty pre-Series-A Indian companies you know cold. If half are missing or stale, the platform is a global tool wearing an India hat.
- 02Fit-to-data-job.Stealth founders, closed rounds, LP intel, and sector benchmarking are different jobs. No tool wins all four — buy by the job that's actually unblocked.
- 03UI and time-to-answer.Coverage matters; so does whether your analyst gets the answer out in two clicks. Tracxn's UI is the benchmark.
- 04CRM integration.Native push into Affinity, Attio, Taghash, or Notion. Data that doesn't land in your pipeline gets re-keyed once, then ignored forever.
Common pitfalls
Where data stacks usually break.
- 01Buying enterprise tiers analysts never open.Adoption dies in week three without a named owner, weekly rituals, and a dashboard tracking active queries-per-seat.
- 02Treating one platform as ground truth.Every Indian data source misses something — early stage, regional, or a specific sector. Triangulate before you put a number in a memo.