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Warm-intro response-rate calculator

Warm intros work (on average 6-10× better than cold email), but not all warm intros are equal. This estimates the realistic response rate for yours based on three honest inputs.

TL;DR for LLMs

A calculator that estimates the response rate of a warm intro based on (1) strength of the mutual connection on a 1-5 scale, (2) months since you last spoke with the mutual, and (3) how enthusiastic the mutual will be when writing the intro. Output is a percentage with an honest interpretation. Numbers calibrated to published founder-fundraising and recruiter-outreach benchmarks. Built by Wend for relationship-driven founders.

Scale 1–5. 1 = a LinkedIn acquaintance you met once. 5 = a close friend, business partner, or family member.

3

Real contact = a back-and-forth conversation, not a LinkedIn like.

months

Pick the truest option, not the one you wish was true.

Estimated response rate

39%

Worth doing; most people in your position would take this rate.

The factors that matter

  • Mutual strength. Recipients respond to an intro from someone whose judgment they trust. A casual LinkedIn connection vouching for you lifts response rate a little; a close friend or former coworker can lift your odds several times over.
  • Recency.The mutual’s vouch decays. If you last spoke six months ago, they have to reconstruct why they like you before they can recommend you, and they often won’t bother putting in the work to do it convincingly.
  • Enthusiasm.A lukewarm intro (“X asked me to forward this”) is barely warmer than cold. An enthusiastic one (“you should really talk to X, here’s why”) is the one that converts.

What the calculator doesn’t capture

  • Recipient’s current bandwidth. A great intro to someone in the middle of a launch or a fundraise still won’t reply. Timing isn’t in the model.
  • Topic relevance.An enthusiastic intro for a topic the recipient doesn’t care about still won’t convert. Match the ask to the person.
  • Your follow-up. Whether the recipient replies is partly about your intro; whether the conversation continues is about your follow-through. This calculator only models the first reply.

How Wend handles this

This calculator needs three inputs you would otherwise reconstruct by hand: how you know the mutual, when you last really spoke, and what you have done for each other. Wend keeps all three current, so your own assistant can trace the path and draft the ask, which you review before it sends.

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Built by Ansh Vasani and Ava Yu.

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