FAQ

Science of VC is a research feed for venture capital. It helps people discover canonical and newly published academic papers that matter to how capital is raised, deployed, monitored, and returned.

Science of VC is designed as a living research feed, with new papers continuously screened and surfaced as relevant items are found.

Science of VC is built to be a central place to explore academic research on venture capital. Instead of searching across many disconnected journals, repositories, and working paper archives, you can browse research organized around the venture lifecycle.

Science of VC tracks academic work across economics, finance, entrepreneurship, management, and decision science whenever that research is relevant to venture capital.

Science of VC currently covers AI-Driven VC & Decision Science, Exit Performance, Deal Structuring, Team Dynamics, Market Cycles, LP Dynamics, Angel Investing, and Venture Capital.

Yes. The site is organized around the venture lifecycle, so it includes research related to fund formation, sourcing and selection, structuring, monitoring, and exits.

Venture capital has no shortage of opinions, but the underlying literature is scattered across journals, repositories, and working paper archives. A research feed makes that literature easier to find, follow, and use.

Google Scholar is broad and unfiltered. Science of VC is narrower and more curated, making it easier to find venture-relevant research without digging through a large number of unrelated papers.

Most VC newsletters and blogs focus on deals, commentary, and opinion. Science of VC is built around academic literature and helps readers see what researchers have actually studied.

Science of VC is useful for founders, venture investors, LPs, journalists, students, and anyone who wants a more research-grounded view of venture capital.

Yes. Founders can use Science of VC to understand research on fundraising, signaling, investor selection, governance, growth, and exit outcomes.

Yes. Investors and LPs can use it to follow research on sourcing, selection, structuring, monitoring, performance, and market cycles.

Absolutely. Science of VC can serve as a source layer for finding papers, framing stories, and grounding venture coverage in academic work rather than hot takes alone.

Science of VC runs on Paperzilla, the research discovery engine behind the site. Paperzilla monitors upstream publishers, repositories, and archives, screens large volumes of new papers, maps them to venture-relevant topics, and then surfaces the smaller set that looks useful for real venture workflows.

Paperzilla is the infrastructure behind Science of VC. It is the engine that monitors sources, deduplicates papers, organizes them into a canonical corpus, and helps surface high-signal research from a much larger upstream flow.

Science of VC monitors academic publishers, repositories, and research archives across the fields that overlap with venture capital. You can browse the current source list on the Sources page.

Canonical papers are the foundational works that shaped how venture capital is studied. They give readers the core questions, frameworks, and findings behind the field.

Live signals are newly surfaced papers that look especially relevant to real venture workflows and decisions. They help readers spot useful research faster.

Live signals are the broader set of papers that look worth attention right now. Must-reads are the smaller, higher-conviction subset that appears especially relevant to venture workflows, decisions, and timing.

Science of VC prioritizes relevance over volume. The goal is not to mirror every paper that mentions venture capital, but to surface research that helps people think more clearly about raising, deploying, monitoring, and returning capital.

In practice, that means combining upstream source coverage, topic mapping, and Paperzilla’s screening pipeline to narrow a large research flow into a smaller set of papers that look genuinely useful.

Not today. The main product is research discovery and organization. The goal is to help people find, filter, and follow the academic literature on venture capital more easily.

No. Science of VC is a research discovery product, not investment advice and not a recommendation engine.

Yes. Please email me at mark@paperzilla.ai and include a short note on your background, your fund or firm, and I'll send you my deck for Paperzilla.