DryPowder — VC Intelligence for Founders

27 Series A Investors in San Francisco — 25 Currently Deploying

Updated

27
Total funds
25
Currently deploying
93%
Deployment rate
$250K–$15M
Typical check range

Funds (27)

Vertex Ventures
● Deploying $500K–$10M

We are founders and operators who partner with early-stage founders building infrastructure and SaaS companies, leveraging our experience to help technical founders nail go-to-mark…

Operator Collective
● Deploying $250K–$2.5M

Operator Collective is an early-stage B2B venture firm that connects founders to exceptional enterprise operators, believing companies succeed because of the people who build them.

Caffeinated Capital
● Deploying $500K–$5M

Offer founders pursuing their life's work an alternative to the hype cycle by providing long-term thinking and supporting category-defining companies across all sectors that will l…

Footwork
● Deploying $1M–$15M

Lead and co-lead Series A and Seed rounds in companies with early signs of product-market fit, focusing on consumer technology and consumerization of enterprise technology.

True Ventures
● Deploying $250K–$2M

Accelerating AI-native founders at the earliest stages. Lead early rounds in companies and founders building the future, providing that first check before others think you're onto …

BOLDstart Ventures
● Deploying $250K–$5M

Partner with bold technical founders from inception, before product or first check, backing AI-native infrastructure, security, apps, and models to build the autonomous enterprise.

Amplify Partners
● Deploying $500K–$3M

Amplify invests in technical founders building the next generation of applications, models, tools, and infrastructure. For almost 15 years they have been the first investor and par…

NFX
● Deploying $250K–$2M

NFX identifies and backs founders building companies with network effects. The fund emphasizes software development, founder support through content/tools, and emerging technologie…

Storm Ventures
● Deploying $500K–$10M

Early stage B2B-focused venture firm specializing in building enterprise leaders through disruptive B2B AI software investments in enterprise infrastructure, cybersecurity, and rel…

SignalFire
● Deploying $500K–$5M

SignalFire is a VC firm built like a tech company that combines AI tools, data infrastructure, and deep sector expertise with portfolio support to help founders scale faster. The f…

Crosslink Capital
● Deploying $1M–$9M

Partnering with ambitious early-stage founders building category-defining companies across enterprise and consumer sectors.

Unusual Ventures
● Deploying $500K–$4M

The product-market fit partner for technical enterprise founders, turning product-market fit from improbable to inevitable through proprietary playbook and methodology.

Felicis Ventures
● Deploying $250K–$10M

Back founders who rewrite the rules and imagine what's next, with focus on early-stage companies demonstrating conviction-driven vision across multiple sectors and geographies.

Pillar VC
● Deploying $500K–$5M

Partner at inception with technically brilliant founders who see past impossible to inevitable. Invest in technical breakthroughs becoming world-changing companies, particularly in…

Kindred Ventures
● Deploying $500K–$5M

Back visionary and relentless founders building the future using technology and science. Belief in AGI for good, decentralized systems, personalized well-being, quiet electric tran…

Mayfield Fund
● Deploying

First institutional investor for early-stage AI founders, with 70% of investments beginning at inception. People-first approach to building breakthrough companies.

Correlation Ventures
● Deploying

Correlation Ventures backs groundbreaking technology and data science companies that solve industry problems through rapid decision-making and industry-leading networks.

Ironfire Ventures
● Deploying

Invest in startups from seed to Series B across Artificial Intelligence, Lifestyle consumption upgrades, and Frontier Technology, partnering with founders creating waves of innovat…

Zetta Venture Partners
● Deploying $500K–$5M

First believers in AI Native founders, providing zero to one capital and hands-on support for builders of AI Native applications, infrastructure, and developer tools.

Greylock Partners
● Deploying

First-check investor (pre-seed, seed, series A) deeply focused on AI-first companies. Partners selectively, cares deeply, and strives for excellence in reshaping industries through…

Maven Ventures
● Deploying

Invest in technical founders building software that will improve millions of consumers' lives. Back bold founders with a vision worth fighting for.

Schematic Ventures
● Deploying

Investing in technology companies within supply chain, manufacturing, and software infrastructure that makes and moves the world.

Emergence Capital (Seed)
● Deploying

Emergence partners with founders transforming the way the world works, recognizing emerging business models early across technology revolutions, particularly in B2B software and AI…

Trinity Ventures
● Deploying

A more personal approach to early-stage investing focused on mission-driven entrepreneurs. The fund invests in entrepreneurs themselves, not just companies, turning ambitions into …

Bain Capital Ventures
● Deploying

Use tightly focused expertise and an unparalleled global network to help founders realize their potential across all stages, from incubation to growth-stage scaling.

Morpheus Ventures

Dare to dream and disrupt by backing companies that rewire established industries and inspire incredible experiences through innovation.

Piva Capital

Piva Capital invests in people, companies, and breakthrough technologies at the inflection of scientific breakthrough and mass market impact to usher in a new industrial era across…

Which of these Series A funds actually fits your startup?

DryPowder's AI matching ranks all 27 by thesis fit, check size, and deployment status.

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Related investor lists

Seed →Pre-Seed →Series B →Series C →Growth →

Frequently asked questions

How many series a investors are actively deploying right now?

DryPowder tracks 27 series a funds. Of these, 25 are currently deploying capital based on recent fund closes, portfolio activity, and partner signals. Use DryPowder's fund matching to see which ones fit your specific startup.

What check size do series a VCs write?

Among 27 series a funds on DryPowder, check sizes run from $250K–$15M. Ranges vary by fund size, vintage, and whether the fund leads rounds. Each fund profile shows check size detail and lead preference.

How do I get a meeting with a series a VC?

A warm intro is still the fastest path. Most series a VCs on DryPowder do accept cold outreach or direct applications, but response rates vary widely by fund. Before reaching out, use DryPowder's AI matching to get a fit score and specific talking points. Founders who lead with thesis-aligned framing get significantly better response rates than those sending the same deck to every fund on a list.

How long does a Series A process typically take?

Series A processes average 4-6 months. Unlike seed, you will navigate formal partner meetings, IC presentations, data room reviews, and reference calls. First meeting to term sheet alone takes 6-10 weeks at most firms. Running a compressed, competitive process where you approach all target investors in the same short window tends to produce faster decisions and better terms than a sequential approach.

How many series a investors should I be talking to at once?

Most fundraisers recommend a parallel process: identify 20-40 target investors but approach your highest-fit funds first. Of the 25 series a funds currently deploying, not all will match your specific stage and sector. Use fund matching to find your top 10-15, approach those first, collect feedback, then go wider. Going to every fund simultaneously without qualifying first burns bridges and dilutes the urgency that helps close a round.

How is DryPowder different from building a VC list on LinkedIn or Crunchbase?

The fund list you build on LinkedIn or Crunchbase is roughly the same list every other founder is building. DryPowder adds three things a manual search cannot: deployment signals (which funds have recently closed new vehicles and are actively writing checks), AI thesis matching (which of the 27 series a funds actually fits your specific startup, ranked by fit), and verified partner contact details. The goal is 15 targeted, thesis-aligned pitches instead of 150 generic ones.

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