The Indian VC tech stack.
Browse 124 tools across 17 categories — from sourcing and research to portfolio ops and back office.
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Evertrace
DataA founder-detection engine that flags builders before they appear in conventional startup databases. It watches signals across GitHub, X co-founder search posts, trade registries, domain registrations, patents, research papers, and hackathon wins, then routes matches into Affinity, and Attio. Used by early-stage VCs to reach stealth founders weeks or months ahead of competing funds.
The Market Map
Every tool, grouped by section. Click any entry for the full report.
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All categories →Frequently Asked
The questions we hear most from funds looking at this list.
What tools do top VC firms use?
Working venture stacks span about a dozen categories — CRM and dealflow (Affinity, Attio, Notion, Taghash), data and signal-tracking (Tracxn, Crunchbase, Evertrace, Harmonic), AI and research (Claude, ChatGPT, Perplexity), workspace and comms (Notion, Slack, Google Workspace), meetings and transcription (Notion, Granola, Fireflies), portfolio management (Carta, Rundit, AngelList), and the news beat (Inc42, The Ken). The mix shifts sharply with stage: seed funds run lean and informal — half the conversations live on WhatsApp and the CRM is whatever fits — while growth firms run process-led setups with enterprise CRMs, dedicated data layers, and structured LP comms.
What does a starter stack for a new fund look like?
Most funds under five people get away with five tools. A CRM for dealflow (Affinity, Attio, Notion, or Taghash). A data provider for diligence (Tracxn or Crunchbase). A shared workspace for memos, dashboards, and the firm wiki (Notion or Google Workspace). A meeting and transcription layer (Notion or Granola). And a serious email client so founder threads do not slip (Superhuman or Notion Mail). Everything else — AI copilots, signal-tracking, news feeds, portfolio platforms, fund admin — layers on as the team grows and the stack stops fitting in one head.
What are the AI tools VCs are using?
AI now sits as a layer across the stack, not a separate beat. Claude leads for long-context reasoning — memo drafting, data-room synthesis, and Skills that package firm SOPs (memo formats, diligence checklists, deck triage) into reusable agents. ChatGPT covers custom GPTs loaded with firm playbooks. Perplexity and Exa handle quick research with citations. Granola and Fireflies turn calls into structured notes that flow into the CRM. Evertrace and Harmonic run the signal-tracking layer — surfacing stealth founders from LinkedIn, GitHub, and registry data weeks before the usual databases catch up. Most firms run two or three of these daily — see the AI and Research categories.
How are tools chosen and how often is the list updated?
Inclusion is editorial, not algorithmic — every tool listed is one that VC firms in our network meaningfully use, tested in production by the team, and benchmarked against alternatives in the same category. The catalog is reviewed on a rolling basis with quarterly editorial sweeps; the “Last reviewed” stamp at the bottom of each category page reflects the most recent pass. For the full picture — research methods, testing process, disclosures — see the methodology.
How do I suggest a tool that isn't listed?
Email [email protected] with the tool name, the website, and one line on how venture teams use it — or use the Submit a tool form. Include your role (GP, analyst, ops) and the categories where you would place it. Tools that two or more funds in our network already run almost always make it in; pure vendor pitches and “we just launched” submissions generally do not.