Building a 40,000-Person Community Behind Every Check · Mala Ramakrishnan, Progressive Ventures

What we talked about.

Mala Ramakrishnan of Progressive Ventures joins Sunny Ray to discuss building a 40,000-person community behind every check. Progressive Ventures invests in seed stage B2B companies, preferring AI-first startups from top Silicon Valley accelerators, and Mala draws on 27 years in the Valley for early deal access. She explains why she left product leadership to invest full time, why she publishes a revenue traction bar for founders, and how she believes deep industry knowledge is the real moat as foundation models commoditize deep tech. She describes a pre-accelerator program run through the nonprofit Founders Creative, which offers free resources, executive mentors and a volunteer-driven community that hosted 80 events last year. Mala also reflects on her time running privacy at WhatsApp at Meta, where she saw how population size and regulation shape how privacy is valued, and on getting Kuvo into AT&T through a mentor's warm introduction. She closes with her test for AI hype versus hope and points listeners to LinkedIn.

Mala Ramakrishnan explains why revenue traction, deep industry moats and a 40,000-person community shape every seed check she writes.

The questions, and the answers.

What is Progressive Ventures and what problem are you solving?

We invest in seed stage B2B companies, preferring AI-first ones, mostly out of top Silicon Valley accelerators. After 27 years in the Valley, I get early deal access before valuations climb. I do it because too few women write checks, and a woman is more likely to receive one if a woman is writing it.

How did Kuvo get into AT&T and stay there?

It came down to relationships. The ex-CTO of Dish Networks, who was a mentor, gave us a warm introduction. We also had a product already in production at Dish, built for scale across operating systems, devices and languages, so the technology was viable and trusted.

What did running privacy for WhatsApp at Meta teach you?

With roughly two billion monthly users, I learned how unevenly human rights are valued. Countries with huge populations but no regulators or meaningful penalties are easy to test on, and a fine means little to a company earning billions. Trust, privacy and integrity are forces that interplay.

Why publish a revenue bar when most seed investors keep criteria secret?

Incorporating or building a product does not make you successful, revenue traction does. With AI, even a solo founder can reach traction in six months to a year. I tell founders to sell first, then build, then scale, and being upfront respects their time and careers.

Where is your sector agnostic, technical approach being tested?

Public cloud vendors and foundation models have commoditized much of deep tech, so differentiation now comes from deep industry knowhow. Verticalization is the moat. I still consider platform solutions, but there must be a much deeper moat than saying you are smart and have deep IP.

What do the winning companies in your portfolio share?

We have 43 companies, almost 16% at $10 million ARR and 57% above $1 million in revenue. Winners have a deep moat, full-time committed and driven founders, often second or third time, and access to top accelerators that help them reach revenue traction quickly.

How did your 40,000-person community get built and who keeps it alive?

It grew organically. I started the platform to put myself on stage, then put other women and underrepresented founders on stage. We held 80 events last year, sponsors give venues, and volunteers and about 40 Silicon Valley executives in our leadership circle run events, hackathons and marketscapes.

How do you separate AI hype from hope in a pitch?

The hype is a thin layer on top of LLMs, or automating your job with them, which is rarely viable long term. The hope is real differentiation: unique data access, industry knowhow, contacts, and a moat into a large market through connections, data and network.