Files
librefang-registry/hands/reddit/SKILL.md
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Evan Hu 33d279889c feat(hands): complete i18n fixes, SKILL.md enhancements, and README overhaul
- Fix French accent characters (é/è/ê/ç/â/ô) across all 14 HAND.toml files
- Fix German special characters (ä/ö/ü/ß) across all 14 HAND.toml files
- Add category translations to all 6 i18n language blocks in all 14 hands
- Enhance SKILL.md content for 9 hands with practical examples and workflows
- Trim bloated SKILL.md files (apitester 1400→892, devops 1301→870)
- Rewrite root README.md with accurate stats, complete hand/integration tables
- Update hands/README.md with full 14-hand listing and i18n documentation
2026-03-23 00:18:18 +09:00

35 KiB

name, version, description, runtime
name version description runtime
reddit-hand-skill 1.0.0 Expert knowledge for AI Reddit management -- API reference, community engagement, content strategy, and moderation best practices prompt_only

Reddit Management Expert Knowledge

Reddit API Reference

Authentication (OAuth2 Script App)

Reddit API requires OAuth2 authentication for all endpoints.

Step 1: Get access token (app-only / client_credentials):

curl -s -X POST "https://www.reddit.com/api/v1/access_token" \
  -u "$REDDIT_CLIENT_ID:$REDDIT_CLIENT_SECRET" \
  -d "grant_type=client_credentials" \
  -A "LibreFang Reddit Hand/1.0"

Response: {"access_token": "...", "token_type": "bearer", "expires_in": 86400, "scope": "*"}

Note: client_credentials provides app-only access. Most read endpoints (listing posts, fetching comments, searching) work normally. Posting and commenting use the app's identity. For full user-level actions (e.g., voting, managing subscriptions), the more complex OAuth2 authorization code flow is required.

All subsequent requests must include:

Authorization: Bearer $ACCESS_TOKEN
User-Agent: LibreFang Reddit Hand/1.0

Core Endpoints

Get subreddit posts (hot):

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/hot?limit=25"

Get subreddit posts (new):

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/new?limit=25"

Get subreddit posts (rising):

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/rising?limit=25"

Submit a new post (self/text):

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "sr=SUBREDDIT&kind=self&title=TITLE&text=BODY" \
  "https://oauth.reddit.com/api/submit"

Submit a link post:

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "sr=SUBREDDIT&kind=link&title=TITLE&url=URL" \
  "https://oauth.reddit.com/api/submit"

Post a comment:

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "thing_id=FULLNAME&text=COMMENT_TEXT" \
  "https://oauth.reddit.com/api/comment"

Note: thing_id is the fullname of the parent (e.g., t3_abc123 for a post, t1_def456 for a comment).

Get comments on a post:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/comments/POST_ID?limit=50"

Get user info (self):

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/api/v1/me"

Search within a subreddit:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/search?q=QUERY&restrict_sr=on&limit=25"

Rate Limits

Type Limit Window
OAuth authenticated 10 requests 1 minute
With app-only auth 30 requests 1 minute
Posting ~1 post 10 minutes (varies by karma)
Commenting ~1 comment varies by karma

Always check response headers:

  • x-ratelimit-remaining: Requests remaining
  • x-ratelimit-reset: Seconds until reset
  • x-ratelimit-used: Requests used this window

Reddit Content Strategy

Understanding Subreddit Culture

Before posting in any subreddit:

  1. Read the subreddit rules (sidebar/about page)
  2. Observe top posts of the past month for style cues
  3. Note common formatting (titles, flair usage, post length)
  4. Understand what gets upvoted vs downvoted
  5. Check if the subreddit allows self-promotion or links

Common Subreddit Rule Patterns

Different subreddits enforce very different rules. Here are real examples:

r/python — Strict self-promotion rules:

  • 10:1 ratio: For every self-promotional post, you must have 10 non-promotional contributions
  • No link-only posts — must include discussion or explanation
  • Required flair for post type (Help, Discussion, News, etc.)

r/AskReddit — Strict formatting:

  • Title must be a question ending with "?"
  • No text body allowed (title only)
  • No yes/no questions — must invite discussion

r/science — Academic rigor:

  • Links must go to peer-reviewed research or reputable news covering research
  • No anecdotal claims, personal opinions, or speculation
  • Comments that don't cite sources may be removed

r/programming — Anti-spam:

  • No "What language should I learn?" posts
  • No job postings or hiring threads
  • Blog posts must have substantial technical content, not marketing

Key rule categories to parse from any subreddit:

1. Post format: title-only? text required? link required? flair required?
2. Self-promotion: allowed? ratio requirement? disclosure needed?
3. Content restrictions: banned topics? required sources? minimum quality?
4. Account requirements: minimum age? minimum karma? approved submitters only?
5. Engagement rules: must respond to comments? no drive-by posting?

Toxicity & Moderation Signals

Before posting or replying, scan for these red flags:

  • Thread locked or removed — moderators already intervened, do NOT engage
  • Controversial marker (†) on comments — indicates divisive topic, tread carefully
  • OP deleted account — thread may be abandoned or toxic
  • Heavily downvoted parent — replying to a -10 comment rarely goes well
  • Personal attacks in thread — disengage entirely, do not escalate

When generating replies, NEVER:

  • Take sides in heated debates — provide balanced perspectives
  • Use sarcasm or irony — easily misread in text
  • Correct grammar/spelling unless directly relevant to the discussion
  • Reply to comments that are clearly trolling or bad-faith

Post Types That Perform Well

Type Best For Example
Question posts Engagement "What's your approach to X?"
How-to guides Authority "Step-by-step guide to X"
Data/Analysis Credibility "I analyzed 1000 X, here's what I found"
Story/Experience Connection "After 5 years of X, here's what I learned"
Resource lists Utility "Curated list of the best X resources"
Discussion starters Community "Unpopular opinion: X is better than Y"

Title Writing Best Practices

  • Be specific: "How I reduced build times by 80% with Cargo caching" beats "Build optimization tip"
  • Use numbers when possible: "5 things I wish I knew..."
  • Ask genuine questions: "Has anyone tried X for Y?"
  • Avoid clickbait -- Redditors penalize it
  • Match the subreddit's tone (formal for r/science, casual for r/programming)

Comment Engagement

Good replies:

  • Answer the question directly, then add context
  • Share personal experience with specifics
  • Provide sources for claims
  • Ask thoughtful follow-up questions
  • Acknowledge when someone makes a good point

Bad replies (avoid):

  • Generic "Great post!" or "This!"
  • Unsolicited self-promotion
  • Pedantic corrections without substance
  • Sarcasm that could be misread
  • Argumentative tone

Reddit Etiquette (Reddiquette)

Do

  • Vote based on quality, not opinion
  • Read the full post before replying
  • Consider the subreddit's purpose
  • Use appropriate flair
  • Be constructive in criticism
  • Credit original sources

Don't

  • Spam the same content across subreddits
  • Use alt accounts to upvote yourself
  • Post personal information (doxxing)
  • Harass or bully other users
  • Engage in vote manipulation
  • Post low-effort content repeatedly

Safety & Compliance

Content Guidelines

NEVER post:

  • Personal information about anyone (doxxing)
  • Harassment or bullying content
  • Spam or repetitive self-promotion
  • Misleading claims presented as fact
  • Content that violates subreddit-specific rules
  • Illegal content or content encouraging illegal activity

Account Health

Monitor account standing:

  • Keep post-to-comment ratio healthy (more comments than posts)
  • Build karma organically through genuine engagement
  • Avoid posting too frequently (triggers spam filters)
  • Diversify activity across multiple subreddits

Worked Examples

Example 1: Product Launch on Reddit

Scenario: You are launching a developer CLI tool and want to generate awareness on Reddit.

Phase 1 — Subreddit Research (Week 1-2 before launch)

Identify target subreddits and evaluate each:

Target subreddits (prioritized):
1. r/commandline       — 350k members, accepts tool announcements, requires demo/screenshot
2. r/programming       — 5M members, strict anti-marketing, only accepts substantial technical posts
3. r/opensource         — 200k members, friendly to launches, requires repo link
4. r/devtools           — 50k members, niche but highly targeted
5. r/sideproject        — 100k members, launch-friendly, expects "what I built" framing

Fetch subreddit rules programmatically:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/commandline/about/rules"

Phase 2 — Karma Building (Week 1-2 before launch)

Before posting about your product, build credibility:

Day 1-3:   Answer questions in r/commandline and r/programming (3-5 helpful comments/day)
Day 4-7:   Share a useful tip or short guide unrelated to your product
Day 8-10:  Engage in discussions, upvote good content, reply to others' posts
Day 11-14: Share a technical deep-dive related to your product's domain (not the product itself)

Phase 3 — Launch Posts (Launch Day)

Craft posts per subreddit culture:

For r/sideproject (casual, story-driven):

Title: "I built a CLI tool that does X — here's what I learned"
Body:
- Paragraph on the problem and motivation
- Short demo (gif/video link or code block)
- What went wrong during development
- Link to repo
- "Would love feedback on X"

For r/programming (technical, anti-fluff):

Title: "X: an open-source CLI for Y written in Rust [with benchmarks]"
Body:
- Link directly to repo or blog post with technical depth
- Performance comparison table
- Architecture decisions
- NO "please star my repo" language

For r/commandline (practical, demo-focused):

Title: "X — does Y in Z seconds from your terminal"
Body:
- Install instructions (one-liner)
- Usage example with real output
- Screenshot or asciinema link
- Comparison to existing tools

Phase 4 — Engagement (Launch Day + 48 hours)

Response templates:

Comment Type Response Strategy
"How does this compare to Z?" Honest comparison table, acknowledge Z's strengths
"Why not just use Z?" Explain specific use cases where yours differs, no FUD
"Found a bug" Thank them, ask for details, open GitHub issue immediately
"This is spam" Do NOT argue. Briefly state this is your project and you're here to discuss
"Great work!" Thank them, ask what feature they'd want next
Feature request Acknowledge, add to roadmap, link to issue tracker

Phase 5 — Follow-Up (Week after launch)

  • Reply to every comment within 12 hours
  • Post an update in r/sideproject if you hit a milestone (e.g., "Hit 500 stars, here's what I changed based on Reddit feedback")
  • Do NOT cross-post the same content -- write fresh posts per subreddit

Example 2: Community Monitoring and Sentiment Tracking

Scenario: You manage a brand's Reddit presence and need to track mentions, sentiment, and emerging issues.

Step 1 — Set Up Monitoring Queries

Search for brand mentions across Reddit:

# Search all of Reddit for brand mentions
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/search?q=%22BrandName%22+OR+%22brandname%22&sort=new&limit=25&t=day"

Monitor specific subreddits where your audience lives:

# Monitor r/technology for relevant topics
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/technology/search?q=BrandName&restrict_sr=on&sort=new&limit=25&t=week"

Step 2 — Sentiment Classification

Categorize each mention into:

POSITIVE   — Praise, recommendation, success story
NEUTRAL    — Factual mention, question, comparison
NEGATIVE   — Complaint, bug report, frustration
CRITICAL   — Security concern, viral complaint, legal risk

Scoring signals from Reddit data:

score > 100 + sentiment=NEGATIVE  → High-priority alert (viral complaint)
score > 50  + sentiment=POSITIVE  → Amplification opportunity
num_comments > 20 + any sentiment → Active discussion, monitor closely
upvote_ratio < 0.5                → Controversial, may escalate

Step 3 — Alert Thresholds

Condition Action
CRITICAL mention with score > 10 Immediate alert to team
3+ NEGATIVE mentions in 24 hours Trend alert, investigate root cause
NEGATIVE post in subreddit > 500k members Monitor hourly for 48 hours
Competitor comparison post trending Prepare factual response (do NOT post defensively)

Step 4 — Weekly Report Template

## Reddit Weekly Report — [Date Range]

### Summary
- Total mentions: X (up/down Y% from last week)
- Sentiment breakdown: X% positive, Y% neutral, Z% negative
- Top subreddits: r/sub1 (N mentions), r/sub2 (N mentions)

### Trending Topics
1. [Topic] — [Subreddit] — [Sentiment] — [Link]
2. ...

### Action Items
- [ ] Respond to [specific thread] — negative sentiment, high visibility
- [ ] Engage with [specific thread] — positive, amplification opportunity

### Competitor Activity
- [Competitor A]: N mentions, trending topics: ...
- [Competitor B]: N mentions, trending topics: ...

### Metrics
| Metric | This Week | Last Week | Change |
|--------|-----------|-----------|--------|
| Total mentions | | | |
| Positive % | | | |
| Avg post score | | | |
| Response time (hrs) | | | |

Example 3: AMA (Ask Me Anything) Management

Scenario: You are organizing an AMA for a tech CEO in r/technology.

Preparation (2 Weeks Before)

  1. Contact the subreddit moderators:

    • Message the mod team through modmail (not individual DMs)
    • Propose date, time, and AMA subject
    • Ask about specific rules for AMAs (verification, scheduling, flair)
    • Confirm the post format they expect
  2. Schedule for peak engagement:

    Recommended AMA times (US-centric subreddits):
    - Tuesday-Thursday, 11:00 AM - 1:00 PM EST
    - Avoid: weekends, holidays, major news days
    - Post the AMA thread 30-60 minutes before the host starts answering
    
  3. Prepare the AMA post:

    Title: "I'm [Name], [Role] at [Company]. [One-line hook]. AMA!"
    
    Body:
    - Brief intro (2-3 sentences about credentials)
    - Why this AMA is happening (new product, milestone, event)
    - Proof/verification (link to tweet, photo with timestamp)
    - "I'll start answering at [TIME] [TIMEZONE]. Ask me anything!"
    - Links to relevant context (website, blog post, prior work)
    

During the AMA (2-3 Hours)

Real-time engagement strategy:

1. Sort comments by "best" and "new" alternately every 15 minutes
2. Answer top-voted questions first (these set the tone)
3. Answer at least 20-30 questions in a 2-hour session
4. Mix short answers with detailed ones — avoid walls of text for every question
5. Skip hostile/troll questions silently — do NOT acknowledge them
6. For tough questions: answer honestly or say "I can't discuss that yet"
7. Upvote good questions (even tough ones) — shows good faith

Response length guide:

Question Type Response Length
Simple factual 1-2 sentences
Technical deep-dive 2-3 paragraphs
Personal/funny 1-2 sentences, match the tone
Critical/tough 2-3 sentences, direct and honest
Off-topic Brief redirect or polite decline

Follow-Up (24-48 Hours After)

  • Post an edit to the original AMA: "Thanks everyone! I answered [N] questions. Check back — I'll try to answer a few more this week."
  • Answer 5-10 more highly-upvoted questions that were missed
  • Share the AMA link on other platforms (Twitter, LinkedIn) to drive continued engagement
  • Compile a "best of" summary with links to the strongest Q&A exchanges

Advanced API Patterns

Pagination Handling

Reddit uses cursor-based pagination with after and before fullnames.

Paginate through subreddit posts:

# Page 1
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/new?limit=100"
# Response includes: "after": "t3_abc123"

# Page 2
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/new?limit=100&after=t3_abc123"
# Response includes: "after": "t3_def456" (or null if last page)

# Page 3
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/new?limit=100&after=t3_def456"

Pagination rules:

  • limit max is 100 per request
  • after returns items chronologically older than the given fullname
  • before returns items chronologically newer (useful for "check for new posts since last poll")
  • When after is null in the response, you have reached the last page
  • Reddit caps listing depth at ~1000 items regardless of pagination

Paginate backward (newer items):

# Get posts newer than a known fullname
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/new?limit=25&before=t3_abc123"

Flair Management

Get available flairs for a subreddit:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/api/link_flair_v2"

Submit a post with flair:

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "sr=SUBREDDIT&kind=self&title=TITLE&text=BODY&flair_id=FLAIR_ID&flair_text=FLAIR_TEXT" \
  "https://oauth.reddit.com/api/submit"

Set flair on an existing post (requires mod or post author permissions):

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "link=t3_POST_ID&flair_template_id=FLAIR_ID" \
  "https://oauth.reddit.com/r/SUBREDDIT/api/selectflair"

Moderation Endpoints

These require moderator permissions on the target subreddit.

Get moderation queue:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/about/modqueue?limit=25"

Approve a post/comment:

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "id=FULLNAME" \
  "https://oauth.reddit.com/api/approve"

Remove a post/comment:

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "id=FULLNAME&spam=false" \
  "https://oauth.reddit.com/api/remove"

Get moderation log:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/about/log?limit=25&type=removelink"

Distinguish a comment as moderator:

curl -s -X POST -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  -d "id=FULLNAME&how=yes" \
  "https://oauth.reddit.com/api/distinguish"

Multi-Subreddit Monitoring

Monitor multiple subreddits in a single request:

# Combine subreddits with "+" for a merged feed
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/python+rust+golang/new?limit=50"

Search across multiple subreddits:

# Use the subreddit field in search to restrict
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/search?q=BrandName+subreddit%3Apython+OR+subreddit%3Arust&sort=new&limit=25"

Get subreddit metadata for comparison:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/about"

Key fields in response: subscribers, active_user_count, created_utc, public_description, submit_text, submission_type.

Polling Strategies for Real-Time Awareness

Reddit has no webhook support. Use polling with these patterns:

Efficient polling loop:

1. Fetch /r/SUBREDDIT/new?limit=10 every 60 seconds
2. Store the fullname of the newest item seen
3. On next poll, use ?before=LAST_SEEN_FULLNAME to get only new items
4. If response is empty, no new posts — sleep and retry
5. If response has items, process them and update LAST_SEEN_FULLNAME

Polling frequency by priority:

Monitoring Type Poll Interval Endpoint
Brand crisis monitoring 30-60 seconds /search?q=brand&sort=new
Subreddit new posts 60-120 seconds /r/SUB/new
Comment replies to own posts 120 seconds /message/inbox
Competitor mentions 300 seconds /search?q=competitor&sort=new
Weekly trend analysis Once daily /r/SUB/top?t=day

Respect rate limits while polling:

At 30 requests/minute (app-only auth):
- 1 subreddit at 60s interval = 1 req/min → can monitor ~25 subreddits
- 1 search query at 60s interval = 1 req/min
- Reserve 5 req/min for ad-hoc queries
- Total budget: 30 req/min, plan accordingly

Subreddit Analysis Framework

Evaluating a Subreddit Before Posting

Before investing effort in any subreddit, run this assessment:

Step 1 — Pull subreddit metadata:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/about" | python3 -c "
import sys, json
d = json.load(sys.stdin)['data']
print(f'Subscribers: {d[\"subscribers\"]:,}')
print(f'Active now: {d[\"active_user_count\"]:,}')
print(f'Created: {d[\"created_utc\"]}')
print(f'Type: {d[\"submission_type\"]}')
print(f'Description: {d[\"public_description\"][:200]}')
"

Step 2 — Measure actual engagement (not just subscriber count):

# Get top 25 hot posts and examine their scores and comment counts
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/hot?limit=25"

Calculate from the response:

Engagement Score = median(post_scores) * median(num_comments)
Activity Ratio = active_user_count / subscribers
Health Indicator = (posts_per_day > 5) AND (Activity Ratio > 0.001)

Step 3 — Subreddit quality scorecard:

Factor Good Sign Bad Sign
Active/subscriber ratio > 0.1% < 0.01%
Median hot post score > 50 < 10
Median comment count > 10 < 3
Posts per day 5-50 < 1 or > 500 (noise)
Mod activity Active modqueue, clear rules No rules, spam in feed
Top post age Within last 24h Weeks old (dead subreddit)
Account age requirements Reasonable (7 days) None (spam-prone) or extreme (1 year)

Peak Engagement Hours by Subreddit Type

Optimal posting times vary by audience. All times in EST:

Subreddit Type Peak Hours Peak Days Reasoning
Tech/Programming 9-11 AM EST Tue-Thu Developers browse during morning coffee
Business/Startup 7-9 AM EST Mon-Wed Professionals check before work
Gaming 6-10 PM EST Fri-Sun After work/school
Science/Academic 10 AM-12 PM EST Mon-Wed Researchers between tasks
Lifestyle/Hobby 12-2 PM EST, 7-9 PM EST Any Lunch breaks and evenings
News/Politics 7-9 AM EST Mon-Fri Morning news cycle
Finance/Crypto 8-10 AM EST Mon-Fri Pre-market and market open

To measure a specific subreddit's peak hours:

# Pull the last 100 posts and extract their timestamps
curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/r/SUBREDDIT/new?limit=100"
# Parse created_utc for each post and bucket by hour-of-day
# Cross-reference with score to find high-score hours, not just high-volume hours

Competitor Presence Analysis

Step 1 — Search for competitor mentions:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/search?q=%22CompetitorName%22&sort=new&t=month&limit=100"

Step 2 — Build a competitor activity profile:

For each competitor, track:
- Which subreddits they are mentioned in (and by whom -- users vs the company)
- Frequency of mentions (per week)
- Sentiment of mentions (positive / neutral / negative)
- Whether they have official accounts engaging in threads
- Common complaints about them (your opportunity)
- Common praise for them (your benchmark)

Step 3 — Competitor comparison matrix:

Metric Your Brand Competitor A Competitor B
Weekly mentions
Positive sentiment %
Subreddits present in
Official account activity
Top complaint theme
Top praise theme

Content Format Preferences by Subreddit Type

Subreddit Type Preferred Format Avoid
Technical (r/programming, r/rust) Long-form text, code blocks, benchmarks Short posts, images without context
Q&A (r/AskReddit, r/askscience) Concise questions, detailed answers Link-only posts
Showcase (r/sideproject, r/webdev) Screenshots, demos, before/after Text-only without visuals
News (r/technology, r/science) Link to source with summary comment Self-post opinion pieces
Discussion (r/startups, r/cscareerquestions) Personal experience, specific details Generic advice, platitudes
Meme-friendly (r/ProgrammerHumor) Images, short and punchy Long text posts

Growth & Reputation Building

Karma Building Strategies (Comment-First Approach)

New accounts or accounts entering a new subreddit should follow the comment-first approach:

Week 1-2: Listen and respond

1. Sort by "new" in your target subreddits
2. Find questions you can genuinely answer
3. Write substantive, helpful comments (3+ sentences with specifics)
4. Respond to 3-5 threads per day
5. Do NOT mention your product, company, or project at all

Week 3-4: Establish presence

1. Start sharing relevant resources (not yours) that help the community
2. Engage in discussions about trends and opinions in your domain
3. Build recognition by being consistently helpful
4. Your username should start becoming familiar to regulars

Week 5+: Contribute original content

1. Share a technical write-up, tutorial, or analysis (unrelated to your product)
2. If well-received, you have earned the trust to occasionally mention your work
3. Always frame self-promotional content as "I built X" (transparent) not "Check out X" (spammy)
4. Maintain the 10:1 ratio — 10 helpful contributions for every 1 self-promotional post

Karma accumulation benchmarks:

Milestone Unlocks
10 comment karma Bypass most anti-spam filters
50 comment karma Reduced posting cooldowns
100+ comment karma in a subreddit Trusted contributor status in some subreddits
1000+ total karma Access to r/lounge and some restricted subreddits

Building Authority in Niche Subreddits

Authority is built through consistency and expertise, not volume:

  1. Pick 3-5 subreddits maximum -- spreading across 20 subreddits builds no authority anywhere
  2. Develop a recognizable voice -- consistent formatting, depth of answers, specific expertise area
  3. Answer the hard questions -- skip the easy ones that 10 people will answer; tackle the ones that require real expertise
  4. Follow up on your own answers -- if someone asks a follow-up, respond promptly
  5. Cite sources and show work -- "I benchmarked this myself, here are the numbers" is worth 100x "I think X is faster"
  6. Accept corrections gracefully -- being wrong publicly and handling it well builds more trust than never being wrong

Cross-Posting Etiquette and Strategy

Cross-posting (sharing a post from one subreddit to another) has specific norms:

Do:

  • Use Reddit's built-in cross-post feature (preserves attribution)
  • Cross-post to subreddits where the content genuinely fits
  • Add a comment explaining why it is relevant to the new subreddit
  • Wait at least a few hours between cross-posts (avoid appearing spammy)

Don't:

  • Cross-post to more than 2-3 subreddits
  • Cross-post to subreddits that explicitly ban it (check rules)
  • Copy-paste the same text as a new post instead of cross-posting (treated as spam)
  • Cross-post your own content excessively

Strategic cross-posting pattern:

1. Post original content in the most specific/niche subreddit first
2. If it gains traction (>20 upvotes, positive comments), cross-post to a broader subreddit
3. Customize the title for the new audience
4. Engage in comments on BOTH subreddits

Handling Negative Feedback and Criticism

Negative feedback on Reddit is public and permanent. Handle it strategically:

Response framework:

1. PAUSE — Do not respond within the first 15 minutes. Emotional responses backfire.
2. ASSESS — Is the criticism valid, partially valid, or trolling?
3. RESPOND (or don't):
   - Valid criticism: Acknowledge, thank them, explain what you will do about it
   - Partially valid: Acknowledge the valid part, clarify the rest with facts
   - Trolling/bad faith: Do NOT respond. Silence is the best response.
4. FOLLOW UP — If you promised to fix something, come back and confirm when it is done

Response templates by situation:

Situation Response Pattern
Bug report "Thanks for reporting this. Can you share [details]? I've opened [issue link] to track it."
Feature complaint "That's fair feedback. Here's why we made that choice: [reason]. We're considering [alternative]."
Unfair comparison "Good question. Here's a direct comparison: [facts]. [Competitor] is great at X, we focus on Y."
Personal attack Do not respond. Report if it violates rules.
"This is trash" "Sorry it didn't work for you. What specifically went wrong? Happy to help."

Analytics & Reporting

Post Performance Metrics

Key metrics to track for every post:

Metric Where to Find What It Means
Score data.score Net upvotes (upvotes minus downvotes)
Upvote ratio data.upvote_ratio 0.0-1.0, percentage of votes that are upvotes
Number of comments data.num_comments Total comments including replies
Awards data.all_awardings List of awards received
Cross-posts data.num_crossposts How many times others cross-posted it

Fetch post performance:

curl -s -H "Authorization: Bearer $ACCESS_TOKEN" \
  -A "LibreFang Reddit Hand/1.0" \
  "https://oauth.reddit.com/by_id/t3_POST_ID"

Quality indicators:

High engagement:    upvote_ratio > 0.85 AND num_comments > 20
Controversial:      upvote_ratio 0.40-0.60 (heavily split votes)
Viral potential:    score > 100 within first 2 hours
Dead on arrival:    score < 5 after 4 hours
Comment quality:    avg comment length > 100 chars (real discussion vs memes)

Engagement Trend Tracking

Track performance over time by recording metrics at regular intervals:

For each post, capture at:
- T+1 hour:   score, num_comments, upvote_ratio
- T+4 hours:  score, num_comments, upvote_ratio
- T+24 hours: score, num_comments, upvote_ratio (final snapshot)

For account-level tracking:
- Weekly comment karma change
- Weekly post karma change
- Number of posts/comments per subreddit
- Average score per post by subreddit

Growth trajectory assessment:

Period Healthy Growth Stagnant Declining
Weekly karma change > +50 -10 to +10 < -10
Avg post score trend Increasing Flat Decreasing
Comment reply rate > 30% of comments get replies 10-30% < 10%
New subreddit penetration 1-2 new per month 0 Banned from any

For teams using Reddit for marketing, community building, or support:

Trackable outcomes:

Direct metrics:
- Referral traffic from Reddit (track with UTM parameters in shared links)
- Sign-ups/downloads from Reddit referral
- Support tickets deflected by Reddit answers
- GitHub stars/forks from Reddit posts (track with ?ref=reddit)

Indirect metrics:
- Brand mention volume over time
- Sentiment ratio trend (positive / total mentions)
- Share of voice vs competitors on Reddit
- Community size if you run your own subreddit

Cost calculation:

Time invested:  Hours per week on Reddit * hourly cost
Content cost:   Time creating Reddit-specific content
Tool cost:      Monitoring tools, analytics
─────────────────────────────────────────────
Total cost/week: Sum of above

ROI = (Value of outcomes - Total cost) / Total cost

Value assignment for outcomes:

Outcome Suggested Valuation Method
Referral sign-up Same as other channel CAC
Support ticket deflected Average support ticket cost
GitHub star from Reddit Track conversion to paying user
Positive brand mention Equivalent ad impression value
Viral post (>1000 score) Equivalent paid reach cost

Weekly Reddit Activity Report Template

## Reddit Activity Report — Week of [Date]

### Account Health
- Current karma: [post] / [comment]
- Karma change this week: +/- [N]
- Account age: [N] days
- Active subreddits: [list]

### Content Published
| Date | Subreddit | Type | Title | Score | Comments | Upvote Ratio |
|------|-----------|------|-------|-------|----------|-------------|
| | | | | | | |

### Comments Made
- Total comments: [N]
- Avg comment score: [N]
- Top comment: [link] (score: [N])
- Subreddit breakdown: r/sub1 ([N]), r/sub2 ([N])

### Brand Mentions (External)
- Total mentions found: [N]
- Sentiment: [N]% positive, [N]% neutral, [N]% negative
- Notable threads:
  1. [Thread title] — [subreddit] — [sentiment] — [link]
  2. ...

### Engagement Metrics
| Metric | This Week | Last Week | Trend |
|--------|-----------|-----------|-------|
| Posts published | | | |
| Total post score | | | |
| Comments made | | | |
| Replies received | | | |
| Avg response time | | | |

### Referral Traffic (if tracked)
- Clicks from Reddit: [N]
- Sign-ups from Reddit: [N]
- Top referral post: [link]

### Next Week Plan
- [ ] Target subreddits: [list]
- [ ] Content planned: [description]
- [ ] Threads to follow up on: [links]