DryPowder

6 Pre-Seed Healthcare Investors in San Francisco — 6 Currently Deploying

Updated

6
Total funds
6
Currently deploying
100%
Deployment rate
$100K–$2M
Typical check range

Funds (6)

Inception Studio Capital
● Deploying$100K–$1.5M

Experienced founders (particularly serial/exit founders) win 22x more often. Zero-equity retreats attract elite repeat founders who avoid traditional accelerators, enabling first-m

Pear VC
● Deploying$250K–$2M

Specialists in pre-seed and seed investing, founded by operators who have built and scaled companies. Provide hands-on support through recruiting, GTM coaching, fundraising assista

Scribble Ventures
● Deploying$750K–$1.5M

Back the world's best AI native founders at pre-seed and seed stages with product and go-to-market expertise from OpenAI, Meta, Twitter, and a16z to help them reshape the world.

Cowboy Ventures
● Deploying$250K–$2M

Seed-stage fund that helps founders build generational companies by providing connections, experience, hands-on support, and human-centered partnership from pre-seed through scale.

On Deck
● Deploying

ODF is an intense one-week in-person experience in San Francisco focused on helping founders meet collaborators, explore ideas, and gain conviction to start companies. The program

Precursor Ventures
● Deploying$100K–$1M

Invest in people over product at the earliest stages of entrepreneurial journey, focusing on long-term relationships with founders at pre-seed and seed stages.

Which of these Pre-Seed Healthcare funds actually fits your startup?

DryPowder's AI matching ranks all 6 by thesis fit, check size, and deployment status.

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Related investor lists

Pre-Seed FintechPre-Seed AI & Machine LearningPre-Seed SaaSPre-Seed ConsumerPre-Seed BiotechPre-Seed Crypto & Web3

Frequently asked questions

How many pre-seed healthcare investors are actively deploying right now?

DryPowder tracks 6 pre-seed healthcare funds. Of these, 6 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 pre-seed healthcare VCs write?

Among 6 pre-seed healthcare funds on DryPowder, check sizes run from $100K–$2M. 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 pre-seed healthcare VC?

A warm intro is still the fastest path. Most pre-seed healthcare 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 pre-seed round take to close?

Most pre-seed rounds close in 4-8 weeks once a lead is committed. The process is faster than seed because checks are smaller and terms are simpler. A SAFE or convertible note is standard. Founders who close quickly typically have a lead committed, 2-3 other investors lined up, and a hard deadline. Open-ended rounds with no timeline tend to stall.

How many pre-seed healthcare 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 6 pre-seed healthcare 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 6 pre-seed healthcare 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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