Newsletter Sponsorship Finder logo

Newsletter Sponsorship Finder

OrganizationPopular
gooseworks-ai
newsletter-sponsorship-finder

Find newsletters relevant to a target audience/industry for sponsorship opportunities. Discovers newsletters through web search, newsletter directories, and industry research. Returns newsletter name, author, estimated audience, topic focus, sponsorship rates (if available), and contact info.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namenewsletter-sponsorship-finder
Stars
1.2K
Forks
208
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Newsletter Sponsorship Finder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/capabilities/newsletter-sponsorship-finder .claude/skills/newsletter-sponsorship-finder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Newsletter Sponsorship Finder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Newsletter Sponsorship Finder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Newsletter Sponsorship Finder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Newsletter Sponsorship Finder

Find and rank newsletters for sponsorship opportunities targeting a specific ICP. Uses web search, newsletter directories, and competitor intelligence to build a prioritized list of sponsorship targets.

Quick Start

Find newsletter sponsorship opportunities for [client]. Target audience: [description]. Industry keywords: [keywords].

Or with optional filters:

Find newsletter sponsorship opportunities for [client].
Target audience: CTOs and DevOps engineers at startups.
Industry keywords: cloud, AWS, DevOps, infrastructure, FinOps.
Budget: $500-2000/placement.
Geographic focus: US.

Inputs

  • Target audience description (required) — e.g., "CTOs and DevOps engineers at startups"
  • Industry keywords (required) — e.g., "cloud, AWS, DevOps, infrastructure, FinOps"
  • Budget range (optional) — for filtering newsletters by sponsorship cost
  • Geographic focus (optional) — e.g., "US", "Europe", "Global"
  • Output path (optional) — where to save results, defaults to clients/<client>/leads/newsletter-sponsorships-YYYY-MM-DD.md

Cost

Free — all discovery is WebSearch-based. No API keys required.

Dependencies

pip3 install requests

Optional helper script for Substack directory search:

bash
python3 skills/newsletter-sponsorship-finder/scripts/search_newsletters.py --keywords "cloud,AWS,DevOps" --output json

Process

Phase 1: Define Target

Accept from user:

  • Target audience description (e.g., "CTOs and DevOps engineers at startups")
  • Industry keywords (e.g., "cloud, AWS, DevOps, infrastructure, FinOps")
  • Budget range (optional, for filtering)
  • Geographic focus (optional)

Phase 2: Discovery (run searches in parallel)

A) Direct newsletter search (WebSearch)

Run these searches:

  • "[industry] newsletter"
  • "[industry] weekly newsletter developer"
  • "best newsletters for [target audience]"
  • "[industry] newsletter sponsorship"
  • "advertise in [industry] newsletter"
B) Newsletter directory search

Search Swapstack/Paved/SparkLoop for relevant newsletters:

  • "site:swapstack.co [industry]"
  • "site:paved.com [industry]"
  • WebFetch on directory result pages to find listings in the target niche
C) Industry-specific discovery
  • Search for "[industry] blog" and "[industry] content creator" to find people who likely also have newsletters
  • Search for "[industry] newsletter" site:linkedin.com posts
  • Search for Substack newsletters: "site:substack.com [industry keywords]"
  • Optionally run the helper script: python3 skills/newsletter-sponsorship-finder/scripts/search_newsletters.py --keywords "[keywords]" --output json
D) Competitor sponsorship research
  • Search "[competitor name] sponsor newsletter" or "[competitor name] advertise"
  • Check competitor websites for "As seen in" or press pages
  • This reveals which newsletters competitors already sponsor (proven audience match)

Phase 3: Enrich Each Newsletter

For each discovered newsletter, use WebFetch to visit the newsletter page and try to find:

  1. Name — Newsletter name
  2. Author/Organization — Who runs it
  3. URL — Signup page or archive
  4. Estimated audience — subscriber count (often mentioned on sponsorship pages or About pages)
  5. Topic focus — What it covers
  6. Frequency — Daily, weekly, monthly
  7. Sponsorship info — Rates, format (dedicated send, banner, classified), contact
  8. Audience quality — Is the audience primarily decision-makers or junior folks?
  9. Social proof — Notable sponsors, testimonials

Phase 4: Score & Rank

Score each newsletter (0-10):

  • Audience overlap with target ICP (+3 max)
  • Audience size (+2 for 10K+, +1 for 5K+)
  • Sponsorship availability confirmed (+2)
  • Reasonable pricing for budget (+1)
  • High engagement signals — open rates mentioned, active community (+1)
  • Competitors sponsor it — proven audience match (+1)

Phase 5: Output

Save results to the specified output path as markdown:

markdown
# Newsletter Sponsorship Opportunities
**Target audience:** [description]
**Industry:** [keywords]
**Date:** YYYY-MM-DD

## Tier 1: Must-Sponsor (Score 8+)
| Newsletter | Author | Est. Audience | Frequency | Sponsorship Rate | Contact | Score |
|-----------|--------|--------------|-----------|-----------------|---------|-------|

## Tier 2: Strong Fit (Score 5-7)
| Newsletter | Author | Est. Audience | Frequency | Sponsorship Rate | Contact | Score |
|-----------|--------|--------------|-----------|-----------------|---------|-------|

## Tier 3: Worth Exploring (Score 3-4)
| Newsletter | Author | Est. Audience | Frequency | Sponsorship Rate | Contact | Score |
|-----------|--------|--------------|-----------|-----------------|---------|-------|

## Competitor Sponsorship Intel
| Competitor | Newsletters They Sponsor | Notes |
|-----------|------------------------|-------|

## Next Steps
1. Reach out to Tier 1 newsletters for rate cards
2. Request media kits from Tier 2 newsletters
3. Set calendar reminder to refresh this list quarterly
4. Monitor competitor sponsorships monthly

Tips

  • Run once per client to establish a sponsorship pipeline
  • Refresh quarterly as new newsletters launch frequently
  • Check competitor sponsorships monthly — if a competitor starts sponsoring a newsletter, it validates the audience
  • Combine with agentmail to automate initial outreach to newsletter operators
  • Use company-contact-finder when a newsletter's sponsorship contact is not publicly listed
  • Newsletters with 5K-50K subscribers often offer the best ROI for B2B sponsorships — large enough audience, small enough for personal touch

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Newsletter Sponsorship Finder AI skill do?

Find newsletters relevant to a target audience/industry for sponsorship opportunities. Discovers newsletters through web search, newsletter directories, and industry research. Returns newsletter name, author, estimated audience, topic focus, sponsorship rates (if available), and contact info.

Why use Newsletter Sponsorship Finder on TypingMind?

Because you install it once and use it with any model. Newsletter Sponsorship Finder is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Newsletter Sponsorship Finder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/newsletter-sponsorship-finder. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Newsletter Sponsorship Finder?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Newsletter Sponsorship Finder?

As many as you like. As long as a model supports skills, you can use Newsletter Sponsorship Finder with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Newsletter Sponsorship Finder AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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