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SKILL verified MIT Self-run

Community Discovery

skill-shawnpang-startup-founder-skills-community-discovery · by shawnpang

When the user wants to find Slack groups, Discord servers, Reddit communities, forums, or online communities where their target audience hangs out. Also use when the user mentions "where to promote", "find communities", "community marketing", or "distribution channels".

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Install

$ agentstack add skill-shawnpang-startup-founder-skills-community-discovery

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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6mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Community Discovery

When to Use

  • Founder wants to find online communities where their target customers are active
  • Founder wants to identify channels for organic promotion and community-led growth
  • Founder wants to build relationships in relevant communities before launching
  • Founder wants to find beta testers, early adopters, or design partners
  • Founder wants distribution beyond paid ads and cold outreach

Context Required

  • Target customer profile (role, industry, interests, seniority)
  • Product category and the problem it solves
  • What the founder wants from communities (feedback, users, partnerships, awareness)
  • Founder's bandwidth for community engagement (lurk and post vs. become a regular)

Workflow

  1. Map the community landscape — identify where your target audience spends time online:
  • Reddit: find subreddits by searching for the problem you solve, competitor names, and industry terms. Check subscriber count, post frequency, and moderation rules.
  • Slack: search Slofile, Slack directories, and Google "[industry] slack community" to find relevant workspaces.
  • Discord: search Disboard, Discord.me, and Google "[topic] discord server" for relevant servers.
  • Forums & others: Indie Hackers, Hacker News, Stack Overflow, niche forums, Facebook Groups, LinkedIn Groups.
  1. Qualify each community — not all communities are equal. Score each on:
  • Relevance: does your target customer actually hang out here?
  • Activity: are there regular posts and discussions (not a ghost town)?
  • Size: big enough to matter, small enough to stand out (sweet spot: 1K-50K members)
  • Promotion tolerance: does the community allow product mentions, or is it strictly no self-promotion?
  • Quality of discussion: are conversations substantive or just spam and memes?
  1. Categorize by engagement type — sort communities into:
  • Promote: explicitly allows product sharing, launch announcements, or "Show X" posts
  • Contribute-first: allows organic mentions if you're a genuine, helpful member first
  • Listen-only: valuable for research and voice-of-customer, but no promotion allowed
  1. Build the engagement plan — for each community:
  • Join and observe for 1-2 weeks before posting
  • Identify the norms (how do regulars communicate? what gets upvoted/praised?)
  • Plan your first 5 contributions (helpful answers, not product pitches)
  • Plan when and how to introduce your product (if appropriate)
  1. Create the community map — output a prioritized list with engagement strategy for each.

Output Format

## Community Map for [Product/Category]

### Tier 1 — High Priority (engage weekly)

**[Community Name]** — [Platform]
- Link: [URL]
- Members: [count] | Activity: [posts/day or week]
- Relevance: [why your target customer is here]
- Rules: [promotion policy summary]
- Engagement type: [Promote / Contribute-first / Listen-only]
- Strategy: [specific plan — what to post, how to contribute, when to mention product]
- Key threads/channels: [specific channels or recurring threads to participate in]

### Tier 2 — Medium Priority (engage biweekly)
...

### Tier 3 — Monitor (check monthly)
...

### Engagement Calendar
| Week | Community | Action | Goal |
|------|-----------|--------|------|
| 1 | [name] | Join, read top 20 posts, identify norms | Understand culture |
| 2 | [name] | Answer 3 questions, no product mention | Build reputation |
| 3 | [name] | Share insight related to your space | Establish expertise |
| 4 | [name] | Soft product mention in relevant thread | Drive first traffic |

Frameworks & Best Practices

The 10:1 rule: Give 10 valuable contributions for every 1 product mention. Communities have long memories — one spammy post can get you banned and your brand damaged permanently.

Platform-specific tactics: | Platform | Best for | Promotion approach | |----------|----------|-------------------| | Reddit | Problem validation, feedback, launch day | Answer questions in comments, share in relevant "share your project" threads. Never post direct ads. | | Slack | B2B relationships, warm intros | Be helpful in channels for weeks before mentioning your product. DMs only after building rapport. | | Discord | Developer communities, gaming, crypto | Participate in discussions, share expertise, use #showcase or #self-promo channels if they exist. | | Indie Hackers | Founder-to-founder, building in public | Share your journey with real numbers. The community rewards transparency over polish. | | Hacker News | Developer/technical audience, launches | Show HN for launches. Don't astroturf. Substantive comments build reputation over months. | | Facebook Groups | SMBs, local businesses, niche B2C | Join groups your customers are in. Respond to "looking for recommendations" posts. | | LinkedIn Groups | Enterprise B2B, professional services | Low-signal, high-noise — generally not worth the effort unless very niche. |

Red flags — avoid these communities:

  • More self-promo than real discussion
  • Moderators are inactive or absent
  • "Pay to post" or "pay for featured" requirements
  • Last meaningful discussion was months ago
  • Members are mostly other founders/marketers (not your actual customers)

Common mistakes:

  • Joining 20 communities and being active in none (pick 3-5 and go deep)
  • Leading with your product instead of being helpful first
  • Copy-pasting the same message across communities
  • Ignoring community rules and getting banned
  • Giving up after 2 weeks because no one clicked your link

Related Skills

  • cold-outreach — for direct outreach to individuals found through communities
  • content-strategy — for creating content to share in communities
  • launch-strategy — for using communities as launch distribution channels
  • landing-page — to convert community traffic into signups

Examples

Prompt: "I'm building a tool for data engineers. Where should I be hanging out online?"

Good output includes: A prioritized map of communities — specific subreddits (r/dataengineering, r/apachekafka), Slack groups (dbt Slack, Data Engineering Weekly), Discord servers, relevant HN threads, and a 4-week engagement plan for the top 3.

Prompt: "We're launching our design tool next month. Which communities should I warm up in advance?"

Good output includes: Communities sorted by launch relevance (Designer Hangout Slack, r/UI_Design, Dribbble, specific Discord servers), a pre-launch engagement timeline, and specific "Show X" or "Share your project" threads to target on launch day.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.