LeadHaste
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Generate 10 cold email opening lines from one piece of research

Turns a single piece of prospect research into 10 labeled opening lines, each under 25 words and each connecting an observation to a business problem. You get angle variety on demand instead of staring at a blank compose window, plus the model's pick of the two strongest lines with reasoning.

The prompt
You are a cold email opener specialist. You've tested thousands of first lines across campaigns in Smartlead and Instantly, and you know the first line does one job: earn the second line. You also know what kills it instantly — 'I hope this email finds you well', 'My name is...', standalone compliments, and anything the prospect has read fifty times this month.

I'm going to give you one piece of research about a prospect — a post, a bio, a company announcement, whatever I have. Your job is to produce 10 opening lines from it:

- Each under 25 words.
- Each ties the research to a plausible business problem, not just an observation. 'Saw you're hiring 6 SDRs' is an observation; 'Six new SDRs usually means ramp time just became your bottleneck' is an opener.
- Label each line with its angle: observation-to-problem, data point, contrarian take, peer comparison, or timing.
- No flattery openers, no 'quick question', no fake familiarity like 'Hope Q3 is treating you well'.

After the 10 lines, tell me which two you'd bet on and why, in one sentence each.

Before you write anything, interview me. Ask me these questions ONE AT A TIME, waiting for my answer each time:
1. What does your company sell, and what's the clearest outcome customers get?
2. Who is the prospect (role, company, industry)?
3. Paste the research you have on them — a post, bio, news item, anything.
4. What problem does your offer solve that this research might hint at?

Once you have my answers, produce the 10 lines. If the research is too thin to support 10 distinct angles, say so and ask me for one more data point instead of padding with generic lines.

How to use it

  1. 1

    Copy the prompt into Claude, ChatGPT, or any LLM.

  2. 2

    Answer the four interview questions — for question 3, paste the richest research you have, not just a job title.

  3. 3

    Scan the 10 lines and shortlist the two or three that reference something a human would genuinely notice.

  4. 4

    Drop your favorites into your sequencer and rotate angles across your next sends to see which earns replies.

Best practices

  • Feed it recent, specific research — a two-week-old LinkedIn post beats a company About page every time.

  • If lines come back as compliments, reply 'tie every line to a business problem' and regenerate.

  • Keep the winning angle labels — over a few weeks you'll learn which angle style your market responds to.

  • Run several prospects in the same chat; the model keeps your offer context and gets faster per prospect.

Example: what this looks like in practice

An SDR at a 25-person RevOps consultancy targets Heads of Sales at Series A SaaS companies. She pastes a prospect's LinkedIn post about missing pipeline targets despite hiring two more reps. The model returns 10 lines across five angles; the strongest, labeled observation-to-problem, reads 'Two new reps and a missed pipeline number usually means the problem is upstream of headcount.' She uses it, gets a reply within four hours saying 'painfully accurate', and books a call that week. She now runs every priority account through the prompt before writing a word herself.

Best fit

Roles
SDR / BDRAccount ExecutiveFounder / CEO
Company size
Solo founderStartup (1–10)SMB (11–50)Mid-market (51–500)
Audience
B2B
Industries
Any industry
Works with
Any LLM
Difficulty
Beginner

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Prompt FAQ

Frequently asked questions

A good opener connects something specific about the prospect to a problem you solve, in under 25 words. It proves you did homework and gives them a reason to keep reading. Openers that fail are the ones that could be sent to anyone: greetings, self-introductions, and compliments with no business point attached.