Build a target investor list for my first round
A prioritized list structure with fit criteria and research steps so you pitch investors who actually back companies like yours.
The prompt
Help me build and prioritize a list of investors for my first funding round.
Company: [WHAT WE DO, sector, business model]
Stage and traction: [DETAILS]
Raise amount and round type: [AMOUNT, SAFE/note/priced]
Location: [WHERE WE'RE BASED; are we open to remote investors?]
Investors I already know or have links to: [NAMES or "none"]
Previous step (optional): [PASTE my raise amount and use-of-funds summary]
Do this:
1. Define fit criteria: stage they invest at, typical check size vs. my round, sectors, geography, lead vs. follow, and portfolio conflicts (do they back a direct competitor?).
2. Explain the investor types that fit my round (angels, angel groups, pre-seed funds, accelerators, strategic or industry angels, friends and family) and the pros and cons of each.
3. Give me a research routine for each name: where to check recent investments, public thesis, and partner focus, and how to find the warmest path to them.
4. Set up a tiered list: Tier 1 (strong fit + warm intro), Tier 2, Tier 3, with the order to approach them so early meetings are practice and momentum builds.
5. Create a tracker: Investor | Type | Check size | Thesis fit | Conflict? | Intro path | Tier | Status | Next step.
Do not invent investor names, funds, check sizes, or portfolio companies. If you mention well-known examples, mark them [VERIFY] - details change often, so I must confirm everything from current sources.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Research & Summaries prompts
What to fill in
- WHAT WE DO, sector, business model
- DETAILS
- AMOUNT, SAFE/note/priced
- WHERE WE'RE BASED; are we open to remote investors?
- NAMES or "none"
- PASTE my raise amount and use-of-funds summary
How this prompt is built
This prompt follows the RTF structure (Role, Task, Format). RTF tells the model who to be, what to do and what shape the answer should take. It is the quickest structure that still gives noticeably better results than a bare request.
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