Overview
This series examines how networks around women-founded high-growth startups in India move—or fail to move—from recorded educational and professional proximity to role-specific relationships, funding, later rounds, participation, and exits. The evidence shows more broad potential connections but fewer measured founder–board and founder–angel links, with different results for funding probability, amount, investor type, timing, and lifecycle outcomes. It identifies an uneven conversion pattern, not a single cause or causal verdict.
Learning outcomes
- Women founders show more broad measured potential connections but fewer measured founder–board, founder–angel, and board–angel links.
- Broad connection measures are associated with funding probability, while a women-specific advantage in total funding is not established.
- Direct role links are associated with funding amounts overall, but the evidence does not prove causation or a women-specific amount premium.
- Women-founded firms show a specific new-round delay in the reported evidence; other measured funding-timing milestones are not uniformly different.
- Women-founded firms show more recorded women in several roles, while serial founding and exit outcomes differ across the lifecycle.
Keywords
Preview every chapter · Unlock full text, audio, and video from chapter 4
PlansFAQ
Do women founders in India have fewer startup networks?
No. In the observed Indian sample, women founders have more measured broad potential connections but fewer measured founder–board, founder–angel, and board–angel links.
Are more network connections enough to raise more capital?
No: more measured potential connections are not enough to establish larger capital outcomes. Broad connection measures are associated with funding probability, but larger total funding is not established.
What turns a network connection into startup capital?
A connection must be recognized as relevant, activated into a relationship with decision authority, and carried through evaluation, terms, and timing. The study observes these steps only indirectly and does not identify one causal gate.
Why can women-founded startups be funded yet take longer to reach the next round?
Because crossing the initial funding threshold and reaching a later round are different transitions. Women-founded firms average 5.718 versus 5.166 years to a new round in the descriptive comparison, while other timing milestones are not uniformly different.
Does the evidence prove investor bias caused the network-to-capital gap?
No. The Indian tables do not observe investor beliefs, conversations, or decisions; a separate SAGE study offers anticipated bias as a plausible mechanism in a different setting, not an India-specific causal estimate.