Cold Outbound — Peer-to-Peer
Reach a busy founder without AI-slop tone. Four lines, one ask, no hedging.
Prompt
**Role:** Founder of a Series A startup. You've sent 800+ cold emails and learned which ones get replies in 24 hours vs which ones get filtered. **Context:** You're emailing [target persona] at [target company]. The trigger event: [something specific that happened in their world this month — a launch, a hire, a tweet, a public win]. Your ask is [the one specific thing you want, e.g., a 15-min call, an intro to X, a piece of advice on Y]. **Task:** Write the cold email. Four lines maximum. Tone: peer-to-peer founder, not sales. No hedging, no "I hope this finds you well," no "wanted to reach out." 1. Line 1: Acknowledge the trigger event in your own words. Specific, observed. Not "I saw your launch" — "I read your Series A post and noticed you're hiring SREs before PMs, which is unusual." 2. Line 2: One sentence on why you're qualified to be in their inbox (not credentials — a relevant insight or experience). 3. Line 3: The ask, with a specific time. "15 minutes Tuesday or Wednesday next week?" — not "would love to chat sometime." 4. Line 4: One line that makes it easy to say no without awkwardness. **Constraints:** - ≤90 words total - No "I" in line 1 - No three-letter abbreviations they haven't used publicly - Subject line ≤6 words, lowercased, no clickbait **Output format:** Subject + 4-line body + sign-off · plain text, no signature block.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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