Community Discovery

Given a target audience description, systematically discover online communities where they congregate across 5 platform categories, then score and rank by Signal-to-Noise ratio. Outputs a prioritized list of communities worth engaging in or advertising to.

Usage

Use when finding communities to engage with organically, identifying where a target market spends time online, or planning community-led GTM strategy.

Process

Step 1: Gather Inputs

Ask the user for:

• Audience description — who they're targeting (job title, industry, stage). Example: "B2B SaaS founders at seed stage", "freelance UX designers", "e-commerce store owners"

• Product category (optional) — what they sell, to help filter relevance and identify tool-adjacent communities

• Minimum member count (optional) — exclude communities below a threshold (default: no minimum — small communities are included with a flag)

Extract from the audience description:

• Identity/role: Who is the person (founder, marketer, developer, etc.)

• Industry/vertical: What sector or market they're in

• Business type/stage: Solo, SMB, startup, agency, enterprise — or consumer

• Problem domain: What they're trying to solve (inferred from product category if provided)

Step 2: Generate Search Queries

Generate 8 search queries to surface communities across platform types. Mix these angles:

Platform-specific queries:

• "slack community [identity/role]"

• "discord server [industry/niche]"

• "facebook group [job title or problem]"

• "linkedin group [industry]"

• "[identity] community forum"

Directory-based queries:

• "hive.one [audience topic]"

• "slofile [slack community] [niche]"

• "disboard [discord] [niche]"

Discovery-angle queries:

• "best communities for [identity]"

• "where do [audience] hang out online"

• "[industry] online community"

Step 3: Search Platform Directories

Search these community directories first — they surface communities across many platforms in one pass:

Directory What It Indexes How to Search

hive.one Audience-indexed communities by topic Search by topic or person

slofile.com Public Slack workspaces Search by keyword

disboard.org Discord servers by tag Search by tag/keyword

discadia.com Discord servers Search by category/keyword

commsor.com Community index Browse by category

For each directory, search with the audience's identity, industry, and problem domain terms. Collect all relevant results.

Step 4: Search Each Platform Directly

Reddit

Search for subreddits using:

• "site:reddit.com [identity/role]"

• "reddit [industry] community"

• "r/findareddit [audience description]"

Collect subreddit name, member count, and description.

Slack & Discord

Use slofile.com and disboard.org searches from Step 3. Also search:

• "[industry] slack community"

• "[niche] discord server"

Facebook Groups

Search: "facebook group [identity/role]" and "facebook group [industry]". Note: member counts require browsing Facebook directly — estimate when not verifiable.

LinkedIn Groups

Search: "linkedin group [industry]" and "linkedin group [job title]". Note: LinkedIn groups vary widely in activity — flag low-activity groups.

Other Platforms

Search for:

• Mighty Networks / Circle: "[industry] community mighty networks" or "[niche] circle community"

• Geneva: "[identity] geneva community"

• Luma: "[niche] luma community events"

• Discourse forums: "[industry] forum site:community.* OR site:forum.*"

• Industry-specific forums: "[industry] forum" + check known industry directories

Step 5: Normalize All Results

Compile all discovered communities into a single list. For each entry, record:

Field Description

Name Community name

URL Direct link to the community

Platform Type Reddit / Slack / Discord / Facebook Group / LinkedIn Group / Forum / Other

Member Count Total member/subscriber count (or "unverified" if unknown)

Description One-line summary of what the community is about

Source Where it was discovered (directory name or search)

Deduplication: If the same community appears from multiple sources, keep one entry and note it appeared in multiple places (stronger signal of relevance).

Member count = 0 or unknown: Include but flag as "unverified." Small/unknown-size communities are still worth noting if relevance is high.

Step 6: Score Each Community

Score every community on two dimensions:

Dimension 1: Relevance (1–5)

Score Signal

5 Community is built specifically for this exact audience (identity + industry match)

4 Strong match — same role or same industry, minor gaps

3 Adjacent — related audience, overlapping interests

2 Loose match — your audience is a minority here

1 Tangential — topic overlap but very different audience

Dimension 2: Noise (1–5)

Score Signal

1 Very low noise — tightly moderated, mostly signal

2 Low noise — mostly on-topic with occasional spam

3 Moderate noise — mixed quality, some spam

4 High noise — significant spam or off-topic content

5 Very high noise — dominated by promotions or irrelevant content

Signal-to-Noise Rating

Rating Criteria

High Relevance ≥ 4 AND Noise ≤ 2

Medium Relevance 3–4 OR Noise = 3 (not both extremes)

Low Relevance ≤ 2 OR Noise ≥ 4

Step 7: Sort and Finalize

Sort the full list:

• Primary: Signal-to-Noise rating (High → Medium → Low)

• Secondary: Member count (largest first within each tier)

Flag communities where member count is unverified — place them after verified-count communities within the same S/N tier.

Output Format

Community Discovery: [Audience Description]

Date: [current date] Audience: [description] Communities found: [count] across [X] platforms Signal-to-Noise breakdown: High: [X] | Medium: [X] | Low: [X]

High Signal Communities

Medium Signal Communities

Low Signal Communities

Platform Coverage Summary

Observations

[2-3 bullet points on where this audience is most concentrated, any surprising findings, or gaps]

Recommended Next Steps

1. [e.g., "Join the top 3 High S/N communities and lurk for 1 week before engaging"]
2. [e.g., "No LinkedIn groups had high activity — deprioritize LinkedIn as a community channel"]

Rules

• Aim for 100+ communities total. If the audience is niche, 50 is acceptable — flag it.

• Platform coverage matters more than raw count. A list with 100 Reddit results and 0 Slack results may miss important communities.

• Community size is a secondary factor. A 200-member Slack group of exactly your target buyer is often more valuable than a 50k-member Discord with 5% audience match.

• Never invent communities that weren't found via search — only include verified results.

• Never guess member counts — mark unknown counts as "unverified."

• Don't skip platforms because they seem unlikely — search all 5 categories and let the results speak.

• If fewer than 20 communities are found, the search was too narrow — broaden by using more generic identity/industry terms.

• If the audience description is very broad (e.g., "small businesses", "marketers"), ask the user to narrow it before proceeding.

• Flag if all high-signal communities are very small (under 500 members) — the audience may not have a strong online community presence.