The 375 Prompt Book for Fundraising
1. Key Themes
AI Is Commoditizing the Research Layer of Fundraising
The article's central thesis is that AI prompts have eliminated what was previously an expensive, time-intensive competitive advantage — investor research and outreach preparation.
"A placement agent charges 5% of the round for warm intros. An analyst spends two weeks building the target list. For years that layer was the slow, expensive part of a raise, and having it was the edge."
"Paste one into Claude, fill in the brackets, and the analyst's two weeks happen in an afternoon."
The Democratization of Tools Paradoxically Makes Fundraising Harder
Because every founder now has access to the same AI-generated research, the leveling effect eliminates differentiation at the analysis layer — raising the floor but intensifying competition at the relationship layer.
"When the research layer was expensive, having it was the advantage. Now every founder in your batch generates the same list, the same fit analysis, the same clean cold email, for the price of a prompt. The analysis just commoditized."
"Which is exactly why fundraising is about to get harder, not easier."
Judgment, Timing, and Relationships Remain the Irreplaceable Edge
The article draws a sharp line between what AI can and cannot do, arguing the non-automatable 20% is what actually closes rounds.
"A prompt builds the target list. It cannot tell you which partner told another founder, over coffee last week, that they are full this quarter."
"A prompt ranks funds by thesis fit. It cannot tell you their last two bets in your space went to zero and the partner is gun-shy."
"A prompt writes a flawless cold email. It cannot tell you one warm intro from the right founder beats two hundred of them."
2. Contrarian Perspectives
More tools = harder fundraising, not easier. The consensus view is that AI tooling democratizes access and helps founders. The article flips this: universal access to the same tools destroys the informational edge that previously separated well-prepared founders from the rest. The signal-to-noise ratio for investors gets worse, making it harder to stand out.
"Now every founder in your batch generates the same list, the same fit analysis, the same clean cold email, for the price of a prompt. The analysis just commoditized."
The 80% that's now free matters less than the 20% that can't be automated. Most fundraising advice focuses on process — building lists, writing outreach, preparing decks. The article argues this entire category has been rendered table stakes, and the real leverage is in informal, relationship-derived intelligence that no prompt can surface.
"Every one of those is judgment, timing, or a relationship. None of it is in the book. All of it decides whether you close."
3. Companies Identified
| Company | Description | Why Mentioned | Quote |
|---|---|---|---|
| Claude (Anthropic) | AI assistant | Recommended as the specific tool to run the 375 prompts | "Paste one into Claude, fill in the brackets, and the analyst's two weeks happen in an afternoon." |
4. People Identified
| Person | Description | Why Mentioned | Quote |
|---|---|---|---|
| Ruben Dominguez | Author, The VC Corner newsletter | Creator of the 375 Prompt Book and the underlying thesis about AI's impact on fundraising | Bylined author of the article |
5. Operating Insights
Structure your fundraising sprint around two distinct skill sets — diagnostic and execution — and use AI to compress both. The prompt book's architecture offers a replicable framework: first assess readiness and map the investor landscape (diagnostic layer), then execute outreach and manage the pipeline (execution layer). The article suggests this full cycle can be compressed to roughly one week.
"375-prompt-book/ replaces the analyst's two weeks... diagnostic-skills/ decide whether, when, and who to raise from... execution-skills/ turn the list into booked calls and a closed round."
Invest disproportionately in warm path intelligence — it's the last remaining moat. Given that cold outreach quality is now uniform across founders, the asymmetric return comes from knowing who to ask for an intro and when the investor is actually deploying. The prompt book even includes a dedicated module (warm-path-mapping.md, 35 prompts) to surface these paths — but the article is explicit that the quality of that intelligence still requires human networks.
"One warm intro from the right founder beats two hundred of them."
6. Overlooked Insights
Investor sentiment and portfolio fatigue are invisible to any data layer. The article surfaces a specific type of intelligence — a VC partner being "gun-shy" after consecutive losses in a sector — that no database or prompt can capture. This implies founders should be doing primary research (talking to portfolio founders, tracking public signals on recent markdowns) as a parallel track to any AI-assisted process.
"A prompt ranks funds by thesis fit. It cannot tell you their last two bets in your space went to zero and the partner is gun-shy."
Capacity signals are real-time and relationship-gated. The throwaway line about a partner being "full this quarter" is actually a significant operational insight: VC fund capacity is dynamic and often communicated only through back-channel conversations, meaning timing-awareness is a distinct skill that requires active network cultivation, not just list-building.
"A prompt builds the target list. It cannot tell you which partner told another founder, over coffee last week, that they are full this quarter."