973 VC Funds Under $200M, Cleaned…

1. Key Themes

Theme: Fund age determines whether a "perfect match" has any capital to deploy

Most funds on the public list are stale

The list looks huge, but only a small share is recent enough to matter for a founder raising now.

"The list runs back to 2011, and only 152 of the 973 funds closed in 2024 or later"

Seed funds deploy first cheques on a short clock

A fund can fit your thesis perfectly and still be a dead end if its initial-check window has passed.

"Most seed funds write first cheques for three to four years after they close, then hold the rest for follow-ons. A firm whose latest fund here closed in 2016 can match your deck perfectly and still have nothing set aside for a new company."

Theme: LLM-based investor matching is only as good as its underlying data

AI matching inherits the model's memory, not the firm's current thesis

The public sheet captures size, date, and place, so any claim about a fund's thesis comes from model recall rather than verified sources.

"The sheet records size, date and place, so when a model tells you a fund backs vertical AI, that answer comes from what the model remembers about the firm. Memory ages faster than funds do."

Raw fundraising lists contain errors that corrupt matches

Manual verification against primary sources surfaced material data-quality problems, including a 41x size error, mis-attributed fund managers, and stage mismatches.

"One fund listed at $4,100M is a $100M fund. Another sits under the name of its anchor investor, a cancer-care practice, while a separate firm manages the money. A third writes $10M to $50M growth cheques into companies that already have revenue, a poor target for any pre-seed founder."

Theme: Fresh fund closes are the highest-probability targets right now

A cluster of recent closes creates a timing window

Recently closed funds have the most capital left to deploy.

"23 funds on the list closed in 2026 alone, and 64 firms closed their latest fund within the last 18 months. A partner who closed a fund this year has a whole portfolio left to build, and that's the inbox you want to be in."

Theme: Founders are adopting AI-assisted fundraising workflows

Practitioners endorse LLM-driven fund matching

A First Round board partner shared a lightweight workflow that is gaining traction.

"Chris Fralic, a board partner at First Round, posted his AI hack of the day for founders: open a Google doc of almost 1,000 smaller VC funds that have recently raised, describe your startup in the Gemini side panel or upload your whole deck, and ask which funds fit. He said he was 'super impressed with the results.'"

2. Contrarian Perspectives

The best free resource still can't be trusted without verification

Even a list the author calls "one of the best free resources in venture" produces misleading answers when fed straight into an LLM. The author opened the sheet before running anything and found that scale and apparent completeness mask staleness and errors.

"It's a good hack, and the list behind it is one of the best free resources in venture. I opened it before running anything."

"I checked the 148 firms whose latest fund closed since 2024 one by one, against each fund's own announcement or site, and several rows needed fixing before I'd trust any match."

A strong thesis match can be worthless

Conventional fundraising advice prioritizes thesis fit. The author argues that fund vintage and deployment stage can override fit entirely.

"A firm whose latest fund here closed in 2016 can match your deck perfectly and still have nothing set aside for a new company."

3. Companies Identified

First Round

Description: Seed-stage venture capital firm
Why mentioned: Employer of Chris Fralic, whose AI fundraising hack prompted the article
Quote: "Chris Fralic, a board partner at First Round, posted his AI hack of the day for founders"

Gemini (Google)

Description: Google's AI assistant, embedded in Google Docs as a side panel
Why mentioned: The tool used in Fralic's workflow to match startups to funds
Quote: "describe your startup in the Gemini side panel or upload your whole deck, and ask which funds fit"

Claude (Anthropic)

Description: AI model
Why mentioned: The engine behind the author's paid "Fit Finder Prompt"
Quote: "a Claude prompt that reads your deck and the sheet, drops the funds past their investment window, checks every thesis on the web and returns your top 25 with a source for each match"

The VC Corner

Description: Newsletter and resource publisher for founders and investors, run by Ruben Dominguez
Why mentioned: Publisher of the cleaned and scored fund sheet
Quote: "So I rebuilt the list for premium members."

4. People Identified

Chris Fralic

Description: Board partner at First Round
Why mentioned: Shared the AI hack for matching startups to recently raised small funds
Quote: "He said he was 'super impressed with the results.'"

Ruben Dominguez

Description: Author of The VC Corner
Why mentioned: Audited the fund list and rebuilt it with verified data and recency scoring
Quote: "I checked the 148 firms whose latest fund closed since 2024 one by one, against each fund's own announcement or site"

5. Operating Insights

Filter investors by fund vintage before thesis fit

Before spending time on an outreach email, check when the fund closed and whether it is still in its first-cheque window.

"Most seed funds write first cheques for three to four years after they close, then hold the rest for follow-ons."

Target partners who just closed a fund

Recent closers have the most undeployed capital and the most portfolio left to build, so they are the best-timed inboxes.

"A partner who closed a fund this year has a whole portfolio left to build, and that's the inbox you want to be in."

Verify stage and check size against primary sources

Do not trust an aggregated list or a model's recall for a fund's stage and check size. Confirm against the fund's own announcement or site before reaching out.

"A third writes $10M to $50M growth cheques into companies that already have revenue, a poor target for any pre-seed founder."

6. Overlooked Insights

The list is dominated by smaller managers, not large institutions

The sheet's 973 funds roll up to 726 firms, so many firms appear with multiple funds, and the entire universe is sub-$200M. That points to a deep, fragmented layer of emerging managers rather than a handful of established brands.

"It holds 973 funds from 726 firms, each with a name, size, announcement date, fund number and location, plus a link to the announcement on most rows."

Some listed funds only do follow-ons, so they're not an entry point

The author's audit found funds that never write first cheques. Founders who treat every fund on a list as a potential lead-investor target risk wasted outreach.

"The Six Rows to Fix First: what the research turned up, from a fund listed at 41 times its size to funds that only make follow-on investments"