whitespace-finder skillA
whitespace-finder is agent-read markdown (skill) from varunk130/ai-gtm-skill-library: Systematic unmet-needs discovery engine that maps gaps between market demand and existing solutions with quantified opportunity scores. Use when: find opportunities, unmet needs, market gaps, opportunity discovery, what should we build, where is the whitespace..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Whitespace Finder (DEPTH Model) Map the gap between what the market demands and what exists. Produces quantified, validated opportunity scores for product and GTM decisions. ## When to Use - New product ideation - Feature prioritization against market need - Adjacent market exploration - Investment thesis validation - Pre-PRD opportunity validation ## What You'll Need **Critical inputs (ask if not provided):** - Market or product category to analyze - Target customer segment(s) - Known competitors (or ask me to research) **Nice-to-have:** - Signal Radar output (if previously run) - JTBD Extractor output (if previously run) - Customer feedback or support ticket themes ## Process ### Step 1: Demand Evidence Collection Audit demand across 6 evidence channels: | Channel | What to Look For | Evidence Quality | |---------|-----------------|-----------------| | Community forums (Reddit, HN, Discourse) | Problem-statement posts, workaround discussions | Medium -- shows real pain | | Review mining (G2, Capterra, TrustRadius) | 1-3 star review complaint patterns, missing feature mentions | High -- verified buyers | …
Read the whole file at its exact version.
How to install
mdr add varunk130/ai-gtm-skill-library/whitespace-finder@git:20260516.4225f52mdr add varunk130/ai-gtm-skill-library/whitespace-finder@sha256:c5be415c15207f61Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_le47qqnmg2d563d6)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4817 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
varunk130/ai-gtm-skill-library · 6 stars · license MIT · pushed 2026-09-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_le47qqnmg2d563d6 GET https://markdownregistry.com/api/v1/resolve?ref=varunk130/ai-gtm-skill-library/whitespace-finder GET https://markdownregistry.com/api/v1/blob/c5be415c15207f61c68b33086804ce913142deb40c88be8655af35d1bf8ee583
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.