Template4 min read

Investor evidence scorecard: separate fit from confidence

Turn scraped investor records into inspectable claims, contradictions, and next questions without treating missing data as rejection or a model score as a funding probability.

What it does

Compare a startup and investor without confusing a good fit with strong evidence.

What you get

A sourced fit scorecard and an approach, clarify, or park decision.

Outcome

An investor evidence scorecard answers two different questions: how relevant the candidate appears, and how well the supplied facts support that judgment. Keeping those answers separate prevents a polished website from masquerading as stronger fit.

Investor match

See which investors fit your startup

Add your website. We pick three investors who back companies at your stage, sector and market, with the evidence for each.

Free · no sign-in · about 20 seconds
Your company

Stage · sector · market

Stage fit
Sector fit
Market fit

You will produce a field-level record with provenance, contradictions, and one decision-changing question. The skill uses only the saved material you provide. It does not browse for missing information, manufacture contact details, or convert a classifier's output into a probability of investment.

Investor match

See which investors fit your startup

Add your website. We pick three investors who back companies at your stage, sector and market, with the evidence for each.

Free · no sign-in · about 20 seconds

Choose claims, not impressions

Start with the fields that matter to your round: identity and current role, stage, geography, business model or theme, initial check, investing capacity, relevant activity, and potential portfolio overlap. A field belongs in the decision only if you can explain how it could change your action.

Evidence must support the particular claim. An official source is not universally conclusive. For example, the SEC explains that a Form D is a notice rather than approval of an offering. Do not turn a filing into an endorsement. SEC Investor.gov.

Likewise, a16z's portfolio disclosure cautions that its showcased investments are not all its investments. A missing logo cannot prove the absence of an investment or conflict. a16z portfolio disclosure.

Evidence for every match

Know why a fund fits before you write

Each match shows the fund's stated mandate, cheque size and dated recent deals, with links to the sources.

Prepare the packet

Give every captured source a stable ID, URL, publisher, publication date when available, and capture date. Preserve enough surrounding text to interpret qualifications. A screenshot caption without its date can be useful evidence but should not silently become current.

Include the startup brief and the decision you need: approach, clarify, or park. If the brief is incomplete, the scorecard should identify the missing startup facts as well as missing investor facts.

A fictional scorecard

For fictional NorthPier Capital, your packet contains a clear stage mandate, one relevant investment, and an undated partner biography. The startup's stage and workflow align. Its target allocation is not addressed anywhere.

Launch plan

Open full profiles and contacts

Everything you need to research a round on your own.

  • Full profiles with fit reasons and sources
  • Contact details where public
  • Save a shortlist
01 / FitWhy they fit

Stage, sector and geography compared with your company.

Investor profile
SSeedcampPre-seed · Europe
Investment focus

Backs technology founders from pre-product through early revenue

Sources

Investment approach · FAQ

Focus

Sector agnostic

02 / EvidenceCheck the evidence

Sources and open questions stay visible alongside the fit.

A defensible output is “plausible rationale; limited evidence; clarify initial check and current contact.” It is not “92% likely to invest.” If a verified allocation range would make the deal impossible, that is the decision-changing fact.

A second investor might have less complete marketing material but direct evidence resolving the key questions. It can be more actionable despite having fewer pages in the packet.

Review and reuse

Ask a human to inspect entity joins, hard mismatches, and the counterfactual. If the missing fact would not change anything, it is probably not worth blocking on. If identity is unresolved, do not confidently attribute a portfolio or mandate.

Keep this scorecard beside how to read an investor match. Use thesis fit to sharpen the rationale and diligence before the call to turn uncertainty into useful questions. Review portfolio conflicts before sharing sensitive materials.

Version 1.0, reviewed September 24, 2026. Compatible with assistants that accept pasted text. It is an evidence-classification aid, not legal, investment, or fundraising-success advice.

How to use this skill

Download the ZIP, or paste a setup prompt into your AI.

Paste into ChatGPT to get started.

Manual setup
  1. Download the ZIP. Use the button below to save the skill package to your computer.
  2. Open your workspace agent. If your ChatGPT account has workspace agents, open the agent you want to use and choose Add skill.
  3. Upload the skill. Select the downloaded package and follow the upload prompts. Check that the skill appears in the agent before starting.
  4. Try it with that agent. Send “Use the Investor evidence scorecard: separate fit from confidence skill and ask me for the first input.” Then provide the materials it asks for.

No workspace agent or Add skill button? Open a regular ChatGPT chat, paste the Copy setup prompt from above and send it. If ChatGPT cannot download the ZIP, attach it yourself. If it cannot open the archive, unzip it and attach the SKILL.md file inside.

The chat option works in that conversation; it does not install the skill for future chats. ChatGPT setup guide ↗

Skill package

Download ZIP
Raise plan

From shortlist to first meeting

Everything in Launch, plus help with the first email and the first call.

  • Deck review
  • First emails built on each investor's recent deals
  • Meeting prep, phone numbers and CSV export
Raise plan

From shortlist to first meeting

Everything in Launch, plus help with the first email and the first call.

  • Deck review
  • First emails built on each investor's recent deals
  • Meeting prep, phone numbers and CSV export
01 / ResearchCompany brief

Your product, stage and market

02 / ResearchInvestor evidence

Published mandate and sources

03 / ResearchYour shortlist

Fit reasons and open questions