Merge pull request #13 from librefang/fix/resolve-merge-conflict-markers

fix(hands): resolve merge conflict markers left by PR #12
This commit is contained in:
Evan authored and GitHub committed 2026-03-23 01:25:35 +09:00
commit 8190e06091
7 files changed
+8 -2369

No files matched your search

+1 -1
View File
@@ -671,7 +671,7 @@ description = "来自 elevenlabs.io 的高质量文字转语音 API 密钥。选
[i18n.zh.settings.publish_target] [i18n.zh.settings.publish_target]
label = "发布目标" label = "发布目标"
description = "处理完成后将短视频发送到哪里。选择"仅本地"则跳过发布。" description = "处理完成后将短视频发送到哪里。选择「仅本地」则跳过发布。"
[i18n.zh.settings.telegram_bot_token] [i18n.zh.settings.telegram_bot_token]
label = "Telegram 机器人令牌" label = "Telegram 机器人令牌"
+6 -238
View File
@@ -547,237 +547,6 @@ default_active = false
[i18n.zh] [i18n.zh]
name = "LinkedIn Hand" name = "LinkedIn Hand"
description = "自主 LinkedIn 管理——个人资料优化、内容创作、人脉拓展和职业互动" description = "自主 LinkedIn 管理——个人资料优化、内容创作、人脉拓展和职业互动"
<<<<<<< HEAD
category = "通信"
[i18n.zh.settings.content_style]
label = "内容风格"
description = "LinkedIn 帖子的语气和风格"
[i18n.zh.settings.post_frequency]
label = "发布频率"
description = "创建和发布内容的频率"
[i18n.zh.settings.content_topics]
label = "内容主题"
description = "要创作内容的主题(逗号分隔,例如 AI、领导力、创业)"
[i18n.zh.settings.auto_engage]
label = "自动互动"
description = "自动对人脉网络中的相关帖子点赞和评论"
[i18n.zh.settings.approval_mode]
label = "审批模式"
description = "将帖子加入队列等待审核,而非直接发布"
[i18n.zh.settings.hashtag_count]
label = "话题标签数量"
description = "每篇帖子包含的话题标签数量"
[i18n.zh.settings.target_audience]
label = "目标受众"
description = "内容的主要目标受众"
[i18n.zh.settings.language]
label = "语言"
description = "帖子和互动使用的语言"
# ─── Japanese (日本語) ────────────────────────────────────────────────────
[i18n.ja]
name = "LinkedIn Hand"
description = "自律型LinkedInマネージャー——プロフィール最適化、コンテンツ作成、ネットワーキング、プロフェッショナルエンゲージメント"
category = "コミュニケーション"
[i18n.ja.settings.content_style]
label = "コンテンツスタイル"
description = "LinkedIn投稿の語調とスタイル"
[i18n.ja.settings.post_frequency]
label = "投稿頻度"
description = "コンテンツの作成・投稿の頻度"
[i18n.ja.settings.content_topics]
label = "コンテンツトピック"
description = "作成するコンテンツのトピック(カンマ区切り、例: AI、リーダーシップ、スタートアップ)"
[i18n.ja.settings.auto_engage]
label = "自動エンゲージメント"
description = "ネットワーク内の関連投稿に自動でいいねやコメントをする"
[i18n.ja.settings.approval_mode]
label = "承認モード"
description = "投稿を直接公開せず、レビュー用キューに追加する"
[i18n.ja.settings.hashtag_count]
label = "ハッシュタグ数"
description = "各投稿に含めるハッシュタグの数"
[i18n.ja.settings.target_audience]
label = "ターゲットオーディエンス"
description = "コンテンツの主なターゲット層"
[i18n.ja.settings.language]
label = "言語"
description = "投稿とエンゲージメントに使用する言語"
# ─── Spanish (Español) ────────────────────────────────────────────────────
[i18n.es]
name = "Hand de LinkedIn"
description = "Gestor autónomo de LinkedIn — optimización de perfil, creación de contenido, networking y engagement profesional"
category = "Comunicación"
[i18n.es.settings.content_style]
label = "Estilo de contenido"
description = "Voz y tono para las publicaciones de LinkedIn"
[i18n.es.settings.post_frequency]
label = "Frecuencia de publicación"
description = "Con qué frecuencia crear y publicar contenido"
[i18n.es.settings.content_topics]
label = "Temas de contenido"
description = "Temas sobre los que crear contenido (separados por comas, ej. IA, liderazgo, startups)"
[i18n.es.settings.auto_engage]
label = "Engagement automático"
description = "Dar like y comentar automáticamente en publicaciones relevantes de tu red"
[i18n.es.settings.approval_mode]
label = "Modo de aprobación"
description = "Poner publicaciones en cola para revisión en lugar de publicarlas directamente"
[i18n.es.settings.hashtag_count]
label = "Cantidad de hashtags"
description = "Número de hashtags a incluir por publicación"
[i18n.es.settings.target_audience]
label = "Audiencia objetivo"
description = "Audiencia principal para tu contenido"
[i18n.es.settings.language]
label = "Idioma"
description = "Idioma para publicaciones e interacciones"
# ─── French (Français) ────────────────────────────────────────────────────
[i18n.fr]
name = "Hand LinkedIn"
description = "Gestionnaire LinkedIn autonome — optimisation de profil, création de contenu, réseautage et engagement professionnel"
category = "Communication"
[i18n.fr.settings.content_style]
label = "Style de contenu"
description = "Ton et style pour les publications LinkedIn"
[i18n.fr.settings.post_frequency]
label = "Fréquence de publication"
description = "Fréquence de création et de publication de contenu"
[i18n.fr.settings.content_topics]
label = "Sujets de contenu"
description = "Sujets sur lesquels créer du contenu (séparés par des virgules, ex. IA, leadership, startups)"
[i18n.fr.settings.auto_engage]
label = "Engagement automatique"
description = "Aimer et commenter automatiquement les publications pertinentes de votre réseau"
[i18n.fr.settings.approval_mode]
label = "Mode d'approbation"
description = "Mettre les publications en file d'attente pour révision au lieu de les publier directement"
[i18n.fr.settings.hashtag_count]
label = "Nombre de hashtags"
description = "Nombre de hashtags à inclure par publication"
[i18n.fr.settings.target_audience]
label = "Public cible"
description = "Public principal pour votre contenu"
[i18n.fr.settings.language]
label = "Langue"
description = "Langue pour les publications et les interactions"
# ─── German (Deutsch) ────────────────────────────────────────────────────
[i18n.de]
name = "LinkedIn-Hand"
description = "Autonomer LinkedIn-Manager — Profiloptimierung, Content-Erstellung, Networking und professionelles Engagement"
category = "Kommunikation"
[i18n.de.settings.content_style]
label = "Inhaltsstil"
description = "Ton und Stil für LinkedIn-Beiträge"
[i18n.de.settings.post_frequency]
label = "Veröffentlichungshäufigkeit"
description = "Wie oft Inhalte erstellt und veröffentlicht werden"
[i18n.de.settings.content_topics]
label = "Inhaltsthemen"
description = "Themen für die Content-Erstellung (kommagetrennt, z.B. KI, Führung, Startups)"
[i18n.de.settings.auto_engage]
label = "Automatisches Engagement"
description = "Relevante Beiträge im Netzwerk automatisch liken und kommentieren"
[i18n.de.settings.approval_mode]
label = "Genehmigungsmodus"
description = "Beiträge zur Überprüfung in die Warteschlange stellen, anstatt sie direkt zu veröffentlichen"
[i18n.de.settings.hashtag_count]
label = "Anzahl Hashtags"
description = "Anzahl der Hashtags pro Beitrag"
[i18n.de.settings.target_audience]
label = "Zielgruppe"
description = "Primäre Zielgruppe für Ihre Inhalte"
[i18n.de.settings.language]
label = "Sprache"
description = "Sprache für Beiträge und Interaktionen"
# ─── Korean (한국어) ────────────────────────────────────────────────────
[i18n.ko]
name = "LinkedIn Hand"
description = "자율 LinkedIn 관리 — 프로필 최적화, 콘텐츠 제작, 네트워킹 및 전문적 소통"
category = "커뮤니케이션"
[i18n.ko.settings.content_style]
label = "콘텐츠 스타일"
description = "LinkedIn 게시물의 어조와 스타일"
[i18n.ko.settings.post_frequency]
label = "게시 빈도"
description = "콘텐츠를 작성하고 게시하는 주기"
[i18n.ko.settings.content_topics]
label = "콘텐츠 주제"
description = "콘텐츠를 작성할 주제 (쉼표로 구분, 예: AI, 리더십, 스타트업)"
[i18n.ko.settings.auto_engage]
label = "자동 소통"
description = "네트워크 내 관련 게시물에 자동으로 좋아요 및 댓글"
[i18n.ko.settings.approval_mode]
label = "승인 모드"
description = "게시물을 직접 게시하지 않고 대기열에 추가하여 검토"
[i18n.ko.settings.hashtag_count]
label = "해시태그 수"
description = "게시물당 포함할 해시태그 수"
[i18n.ko.settings.target_audience]
label = "대상 독자"
description = "콘텐츠의 주요 대상 독자"
[i18n.ko.settings.language]
label = "언어"
description = "게시물 및 소통에 사용하는 언어"
||||||| parent of e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
=======
category = "通信" category = "通信"
[i18n.zh.settings.content_style] [i18n.zh.settings.content_style]
@@ -915,12 +684,12 @@ label = "Idioma"
description = "Idioma para publicaciones e interacciones" description = "Idioma para publicaciones e interacciones"
[i18n.es.settings.connection_request_limit] [i18n.es.settings.connection_request_limit]
label = "Limite de solicitudes de conexion" label = "Límite de solicitudes de conexión"
description = "Numero maximo de solicitudes de conexion por semana (superar 100/semana puede restringir la cuenta)" description = "Número máximo de solicitudes de conexión por semana (superar 100/semana puede restringir la cuenta)"
[i18n.es.settings.content_media_mode] [i18n.es.settings.content_media_mode]
label = "Modo de contenido multimedia" label = "Modo de contenido multimedia"
description = "Si las publicaciones incluyen imagenes o carruseles de documentos, o solo texto" description = "Si las publicaciones incluyen imágenes o carruseles de documentos, o solo texto"
[i18n.es.settings.engagement_reply_depth] [i18n.es.settings.engagement_reply_depth]
label = "Profundidad de respuesta" label = "Profundidad de respuesta"
@@ -967,14 +736,14 @@ description = "Langue pour les publications et les interactions"
[i18n.fr.settings.connection_request_limit] [i18n.fr.settings.connection_request_limit]
label = "Limite de demandes de connexion" label = "Limite de demandes de connexion"
description = "Nombre maximum de demandes de connexion par semaine (depasser 100/semaine peut entrainer des restrictions)" description = "Nombre maximum de demandes de connexion par semaine (dépasser 100/semaine peut entraîner des restrictions)"
[i18n.fr.settings.content_media_mode] [i18n.fr.settings.content_media_mode]
label = "Mode media du contenu" label = "Mode média du contenu"
description = "Inclure des images ou carrousels dans les publications, ou rester en texte uniquement" description = "Inclure des images ou carrousels dans les publications, ou rester en texte uniquement"
[i18n.fr.settings.engagement_reply_depth] [i18n.fr.settings.engagement_reply_depth]
label = "Profondeur de reponse" label = "Profondeur de réponse"
description = "Niveau d'implication dans les fils de commentaires de vos publications" description = "Niveau d'implication dans les fils de commentaires de vos publications"
# ─── German (Deutsch) ──────────────────────────────────────────────────── # ─── German (Deutsch) ────────────────────────────────────────────────────
@@ -1078,4 +847,3 @@ description = "게시물에 이미지나 문서 캐러셀을 포함할지, 텍
[i18n.ko.settings.engagement_reply_depth] [i18n.ko.settings.engagement_reply_depth]
label = "소통 답글 깊이" label = "소통 답글 깊이"
description = "자신의 게시물 댓글 스레드에 얼마나 깊이 참여할지 설정" description = "자신의 게시물 댓글 스레드에 얼마나 깊이 참여할지 설정"
>>>>>>> e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
-754
View File
@@ -236,759 +236,6 @@ Before posting any content, classify it:
- Credit sources and tag collaborators - Credit sources and tag collaborators
- Disclose affiliations when discussing products or services - Disclose affiliations when discussing products or services
- Respect intellectual property and copyright - Respect intellectual property and copyright
<<<<<<< HEAD
---
## Advanced API Patterns
### Image Post Creation (Media Upload Flow)
Posting an image requires a 3-step flow: register upload, upload binary, then create post.
**Step 1 -- Register the upload**:
```bash
curl -s -X POST "https://api.linkedin.com/rest/images?action=initializeUpload" \
-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-H "LinkedIn-Version: 202405" \
-d '{
"initializeUploadRequest": {
"owner": "urn:li:person:MEMBER_ID"
}
}'
```
Response contains `uploadUrl` and `image` URN (e.g., `urn:li:image:C4E...`).
**Step 2 -- Upload the binary**:
```bash
curl -s -X PUT "$UPLOAD_URL" \
-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "Content-Type: image/png" \
--data-binary "@/path/to/image.png"
```
**Step 3 -- Create post with image**:
```bash
curl -s -X POST "https://api.linkedin.com/rest/posts" \
-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-H "LinkedIn-Version: 202405" \
-d '{
"author": "urn:li:person:MEMBER_ID",
"lifecycleState": "PUBLISHED",
"commentary": "Check out our Q3 results!",
"visibility": "PUBLIC",
"distribution": {"feedDistribution": "MAIN_FEED"},
"content": {
"media": {
"id": "urn:li:image:IMAGE_URN",
"title": "Q3 Performance Summary"
}
}
}'
```
### Document Post Creation (PDF/Carousel)
LinkedIn "document posts" (carousels) follow the same register-upload-post pattern but use the documents API.
**Register document upload**:
```bash
curl -s -X POST "https://api.linkedin.com/rest/documents?action=initializeUpload" \
-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-H "LinkedIn-Version: 202405" \
-d '{
"initializeUploadRequest": {
"owner": "urn:li:person:MEMBER_ID"
}
}'
```
**Upload the PDF and create post** (same pattern as image -- PUT binary, then POST with `content.media.id` set to the document URN).
### Article Publishing via API
**Create an article post** (link article hosted externally):
```bash
curl -s -X POST "https://api.linkedin.com/rest/posts" \
-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-H "LinkedIn-Version: 202405" \
-d '{
"author": "urn:li:person:MEMBER_ID",
"lifecycleState": "PUBLISHED",
"commentary": "I wrote about why most engineering teams get incident response wrong.\n\nKey insight: the 5-minute rule changes everything.",
"visibility": "PUBLIC",
"distribution": {"feedDistribution": "MAIN_FEED"},
"content": {
"article": {
"source": "https://yourblog.com/incident-response",
"title": "The 5-Minute Rule for Incident Response",
"description": "A practical framework for engineering teams"
}
}
}'
```
> **Note**: Article-link posts get reduced reach vs native text posts. Prefer putting links in the first comment.
### Analytics Endpoints
**Get post statistics (organic)**:
```bash
curl -s -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "LinkedIn-Version: 202405" \
"https://api.linkedin.com/rest/organizationalEntityShareStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:ORG_ID&timeIntervals.timeGranularityType=DAY&timeIntervals.timeRange.start=1704067200000&timeIntervals.timeRange.end=1706745600000"
```
**Get share statistics for a specific post**:
```bash
curl -s -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "LinkedIn-Version: 202405" \
"https://api.linkedin.com/rest/organizationalEntityShareStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:ORG_ID&shares=urn:li:share:SHARE_ID"
```
Response fields:
| Field | Description |
|-------|-------------|
| `totalShareStatistics.impressionCount` | Total times the post appeared in feeds |
| `totalShareStatistics.uniqueImpressionsCount` | Unique viewers |
| `totalShareStatistics.clickCount` | Total clicks (content + read more) |
| `totalShareStatistics.likeCount` | Total likes/reactions |
| `totalShareStatistics.commentCount` | Total comments |
| `totalShareStatistics.shareCount` | Total reposts |
| `totalShareStatistics.engagement` | Engagement rate (decimal) |
**Get follower statistics** (organization pages):
```bash
curl -s -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
-H "LinkedIn-Version: 202405" \
"https://api.linkedin.com/rest/organizationalEntityFollowerStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:ORG_ID"
```
### Webhook / Notification Patterns
LinkedIn does not offer real-time webhooks for most events. Use polling instead:
```
Polling strategy:
- Post engagement: Poll every 15 minutes for first 4 hours after posting
- Mentions/comments: Poll every 5 minutes during engagement_hours
- Follower counts: Poll once per day
- Analytics: Poll once per day (data lags 24-48 hours)
```
### Error Handling and Rate Limit Retry
```
Rate limit response headers:
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 1706745600
HTTP 429 response:
{"status": 429, "message": "Resource level throttle limit..."}
```
**Retry strategy**:
```
1. On HTTP 429: Read X-RateLimit-Reset header
2. Calculate wait_seconds = reset_timestamp - current_timestamp
3. Sleep for wait_seconds + 1 (buffer)
4. Retry the request (max 3 retries)
5. On 3 consecutive 429s: back off for 15 minutes
On HTTP 5xx (server error):
1. Retry with exponential backoff: 1s, 2s, 4s
2. Max 3 retries
3. Log failure and queue for later retry
On HTTP 401 (expired token):
1. Trigger OAuth 2.0 refresh flow
2. Update stored token
3. Retry original request once
```
---
## Content Calendar Template
### Monthly Content Planning Framework
Organize content around weekly themes that rotate through your content pillars.
```
MONTH: [Month Year]
THEME ROTATION:
Week 1: [Pillar 1 -- e.g., Engineering Leadership]
Week 2: [Pillar 2 -- e.g., Industry Trends]
Week 3: [Pillar 3 -- e.g., Career Growth]
Week 4: [Pillar 1 deep dive OR seasonal/timely topic]
```
### Weekly Content Schedule
```
WEEK OF [DATE] — Theme: [Weekly Theme]
Monday:
- 8:30 AM: [Personal story] tied to weekly theme
Format: Hook + narrative + lesson + question
Goal: High engagement to start the week
Tuesday:
- 9:00 AM: [Step-by-step guide] or [How-to]
Format: Numbered list with tactical advice
Goal: Saves and shares (authority building)
Wednesday:
- 8:30 AM: [Data/insight post] with original analysis
Format: Stat + context + your take + question
Goal: Credibility and thought leadership
Thursday:
- 9:00 AM: [Contrarian take] or [Industry opinion]
Format: Bold statement + reasoning + invitation to debate
Goal: Comments and discussion (algorithm boost)
Friday:
- 8:00 AM: [Engagement post] — poll, question, or lightweight personal content
Format: Short, conversational, easy to respond to
Goal: Community building before weekend
```
### Content Mix Ratios
| Category | % of Posts | Examples |
|----------|-----------|----------|
| Educational / Value | 40% | How-tos, frameworks, lessons learned |
| Personal / Storytelling | 25% | Career stories, failures, reflections |
| Engagement / Discussion | 20% | Questions, polls, contrarian takes |
| Promotional / Company | 10% | Product launches, hiring, milestones |
| Curated / Commentary | 5% | Industry news with your analysis |
**Rule**: Never let promotional content exceed 15%. LinkedIn penalizes overtly sales-y accounts.
### Engagement Windows and Response Strategy
```
Post published at 8:30 AM:
Minutes 0-15: Reply to EVERY comment immediately (signals activity to algorithm)
Minutes 15-60: Reply within 5 minutes of each new comment
Hours 1-4: Reply within 30 minutes
Hours 4-24: Reply within 2 hours (during business hours)
Day 2+: Reply within 24 hours
First-comment strategy:
- Post your own comment within 2 minutes of publishing
- Use it for: link to resource, additional context, question to spark discussion
- This comment acts as engagement seed
```
---
## Analytics & Optimization
### Key Metrics to Track
| Metric | Formula | Good Benchmark | Great Benchmark |
|--------|---------|----------------|-----------------|
| Engagement rate | (reactions + comments + reposts) / impressions | > 2% | > 5% |
| Comment rate | comments / impressions | > 0.3% | > 1% |
| Follower growth rate | net new followers / total followers per week | > 0.5% | > 2% |
| Profile views | weekly profile views trend | Consistent growth | 2x after viral post |
| SSI (Social Selling Index) | LinkedIn's built-in score (0-100) | > 50 | > 70 |
| Content saves | saves / impressions | > 0.5% | > 2% |
| Click-through rate | clicks / impressions | > 1% | > 3% |
### Engagement Rate Calculation
```
engagement_rate = (reactions + comments + reposts) / impressions * 100
Example:
120 reactions + 35 comments + 8 reposts = 163 engagements
163 / 5,200 impressions = 3.13% engagement rate
Per-post tracking:
| Post Date | Topic | Format | Impressions | Eng Rate | Comments |
|-----------|-------|--------|-------------|----------|----------|
| Mon 03/03 | Leadership | Story | 5,200 | 3.13% | 35 |
| Tue 03/04 | AI Tools | How-to | 3,800 | 4.21% | 22 |
| Wed 03/05 | Hiring | Data | 2,100 | 2.85% | 12 |
```
### A/B Testing Strategies
Test one variable at a time across pairs of similar posts:
| Variable | Option A | Option B | Track |
|----------|----------|----------|-------|
| Hook style | Question hook | Bold statement hook | Click-through rate |
| Post length | Short (< 800 chars) | Long (1200+ chars) | Dwell time, engagement |
| Posting time | 8:00 AM | 9:30 AM | Impressions after 4 hours |
| CTA type | Question CTA | "Agree? Repost" CTA | Comment rate vs repost rate |
| Hashtag count | 3 hashtags | 0 hashtags | Reach beyond network |
| Format | Plain text | Text + image | Engagement rate |
**How to run a test**:
1. Pick one variable to test (e.g., posting time)
2. Keep everything else constant (same pillar, similar format, similar length)
3. Run for 2 weeks (minimum 4 posts per variant)
4. Compare average metrics -- ignore outliers
5. Adopt the winner and move to next variable
### Identifying Top-Performing Content Patterns
After 30+ posts, analyze your data to find patterns:
```
Sort all posts by engagement rate (descending):
1. Look at your top 5 posts — what do they share?
- Same content pillar?
- Same format (story, how-to, contrarian)?
- Same hook style?
- Similar length range?
- Same posting day/time?
2. Look at your bottom 5 posts — what went wrong?
- External links in body?
- Promotional tone?
- Published on Friday/weekend?
- Weak hook?
3. Create your "hit formula":
Best combo: [Pillar] + [Format] + [Hook style] + [Day/Time]
Example: "Engineering Leadership + Personal Story + Confession Hook + Tuesday 8:30 AM"
```
---
## Audience Growth Strategies
### Comment-First Strategy
The fastest way to grow on LinkedIn is strategic commenting on high-visibility posts.
**How it works**:
1. Identify 15-20 active creators in your niche (10K+ followers)
2. Turn on notifications for their posts
3. Be among the first 5 comments on their new posts
4. Write substantive comments (3-5 sentences) that add genuine value
**Comment templates for growth**:
```
Adding a data point:
"This resonates. At [Company/Role], we saw [specific metric] when we
implemented [related approach]. The key difference was [insight].
Curious if others have seen similar results?"
Respectful counterpoint:
"Interesting perspective. I'd push back slightly on [point] — in my
experience with [context], the opposite was true because [reason].
That said, I think [original point] absolutely holds for [use case]."
Extending the idea:
"Building on this — one thing I'd add is [new angle]. I wrote about
this recently and the biggest takeaway was [specific insight].
[Question that invites further discussion]?"
```
**Target**: 5-10 thoughtful comments per day during peak hours (8-10 AM).
### Collaborative Content Patterns
**Tagging strategy**:
- Tag 1-3 people who would genuinely find the content relevant
- Always explain WHY you're tagging them (not drive-by tags)
- Tag people you've already engaged with (they're more likely to respond)
```
Example post with strategic tags:
"I've been thinking about how engineering teams handle on-call rotations.
After talking to 20+ eng managers, here are the 3 models that actually work:
1. Follow-the-sun (best for distributed teams)
2. Volunteer-first rotation (best for small teams)
3. Tiered escalation (best for complex systems)
@Name1 — your team's approach to #2 was eye-opening.
@Name2 — curious if your distributed team uses #1 or something else?
What model does your team use? Reply with your team size."
```
**Co-creation patterns**:
- Interview a peer and post key insights (tag them, they reshare)
- "X people I learned from this year" posts (mass tagging, high reshare rate)
- Collaborative lists: "Drop your best [resource] in the comments, I'll compile and share"
### LinkedIn Newsletter Strategy
Newsletters convert profile visitors into subscribers with direct inbox delivery.
**Newsletter setup checklist**:
```
1. Name: Clear, specific, benefit-driven
Good: "The Engineering Leader's Playbook"
Bad: "My Thoughts on Things"
2. Cadence: Weekly or biweekly (consistency > frequency)
3. Format:
- 800-1500 words (longer than posts, shorter than blog articles)
- One core idea per issue
- Actionable takeaways or frameworks
- End with a question to drive comments
4. Promotion:
- Announce each issue with a teaser post (don't just auto-share)
- Reference newsletter content in regular posts
- Cross-promote with other newsletter authors
```
**Newsletter content structure**:
```
Issue #[N]: [Compelling Title]
[Hook paragraph -- why this matters NOW]
[Section 1: The Problem / Context]
- 2-3 paragraphs with specific examples
[Section 2: The Framework / Solution]
- Numbered steps or clear model
- Real-world application examples
[Section 3: How to Apply This]
- Actionable next steps the reader can take today
[Closing: Question + CTA]
"What's your experience with [topic]? Reply in the comments."
"If you found this useful, share it with your team."
```
### LinkedIn Live and Events
**LinkedIn Live** broadcasts get 7x more reactions and 24x more comments than regular video posts.
**Live session framework**:
```
Pre-event (1 week before):
- Create LinkedIn Event and post announcement
- Send invites to relevant connections
- Post 2-3 teaser posts building anticipation
During event:
- Start 2 minutes early for tech check
- Open with clear agenda (30 seconds)
- Acknowledge live commenters by name
- Keep sessions 20-40 minutes
Post-event:
- Post key takeaways within 2 hours
- Reply to all comments on the event post
- Repurpose recording into 3-5 short clips for future posts
```
**Event types that work**:
| Type | Duration | Best For | Frequency |
|------|----------|----------|-----------|
| AMA (Ask Me Anything) | 30 min | Engagement, authority | Monthly |
| Industry deep dive | 20 min | Thought leadership | Biweekly |
| Interview / fireside chat | 40 min | Network growth | Monthly |
| Quick tip / hot take | 10 min | Visibility | Weekly |
---
## Worked Examples
### Example 1: Thought Leadership Campaign
**Scenario**: VP of Engineering building authority in "engineering culture" niche.
**Content pillars**:
```
Pillar 1: Engineering Management (40%)
Pillar 2: Scaling Teams (30%)
Pillar 3: Career Advice (20%)
Pillar 4: Personal Lessons (10%)
```
**Week 1 posting schedule with sample posts**:
**Monday 8:30 AM -- Personal Story (Pillar 1)**:
```
I promoted my worst interviewer to Head of Recruiting.
Sounds crazy. Here's what happened.
She kept rejecting candidates everyone else loved.
Her "pass rate" was 15%. Team average was 60%.
But after 12 months, something became clear:
Her hires had:
→ 94% retention rate (team avg: 71%)
→ 2.3x faster time to first meaningful contribution
→ Zero PIPs in their first year
She wasn't a bad interviewer.
She was the only one actually doing it right.
The lesson?
Measure what matters. Pass rates reward speed.
Retention rates reward judgment.
What's one metric your team optimizes for
that might be the wrong one?
#EngineeringLeadership #Hiring #TechManagement
```
**Tuesday 9:00 AM -- How-To Guide (Pillar 2)**:
```
How to run a team retrospective that people actually enjoy
(not the soul-crushing ones everyone dreads):
Step 1: Kill the "what went well / what didn't" format
→ Use "I wish... I wonder... I'm proud of..." instead
Step 2: Timebox ruthlessly
→ 45 minutes max. If it takes longer, your team is too big for one retro.
Step 3: One action item per person, max
→ A retro with 20 action items produces zero change.
→ One item per person = accountability.
Step 4: Start with appreciation
→ First 5 minutes: each person thanks someone else on the team.
→ This changes the entire energy of the room.
Step 5: Rotate the facilitator
→ The manager should NOT always run retros.
→ It changes what people feel safe saying.
I've used this format with teams of 5 to teams of 50.
What's your retro format? Drop it below --
I'm always looking for new approaches.
#Agile #EngineeringCulture #TeamManagement
```
**Wednesday 8:30 AM -- Data + Insight (Pillar 2)**:
```
We tracked every engineering team meeting for 6 months.
The data was uncomfortable.
→ Average engineer: 11.2 hours/week in meetings
→ Senior engineers: 16.4 hours/week
→ Time spent in meetings that could've been async: 62%
We cut 40% of recurring meetings.
Result after 3 months:
→ Sprint velocity: +23%
→ Engineer satisfaction: +31% (internal survey)
→ "Deep work" blocks per week: 2.1 → 4.7
The surprising part?
Nobody missed the deleted meetings.
Not one person asked to bring them back.
If you haven't audited your meeting load recently,
you're probably burning 30-40% of your team's capacity.
What % of your meetings could be an async update?
#Engineering #Productivity #Leadership
```
**Thursday 9:00 AM -- Contrarian Take (Pillar 3)**:
```
Unpopular opinion: "Culture fit" interviews should be illegal.
Here's why:
Culture fit = "do I want to get a beer with this person?"
That's not hiring. That's friend-making.
What actually matters:
→ Values alignment (do they care about the same outcomes?)
→ Working style compatibility (async vs sync, docs vs meetings)
→ Growth trajectory (will they push the team forward?)
None of those require "fitting in."
The best hire I ever made was someone who challenged
every assumption we had. They didn't "fit" our culture.
They made it better.
Replace "culture fit" with "culture add."
Agree or disagree? I'd love to hear your take.
#Hiring #Diversity #EngineeringCulture #Leadership
```
**Friday 8:00 AM -- Engagement Post (Pillar 4)**:
```
Fill in the blank:
"The best career advice I ever received was ___________."
I'll go first:
"Stop optimizing for your next promotion.
Start optimizing for your next learning curve."
Changed how I made every career decision since.
Your turn.
#CareerAdvice #ProfessionalGrowth
```
### Example 2: Company Page Management
**Scenario**: B2B SaaS company (Series B, 80 employees) managing their LinkedIn company page.
**Posting cadence**:
```
Company page: 4-5 posts per week
Employee advocacy: 2-3 employees reshare/post per week
Executive accounts: CEO + CTO post 2-3x/week each
```
**Weekly company page schedule**:
```
Monday: Industry insight or thought leadership (educational)
Tuesday: Product tip or customer use case (value-driven)
Wednesday: Team/culture spotlight (employer branding)
Thursday: Data or trend analysis (authority)
Friday: Milestone, hiring, or community post (engagement)
```
**Sample company page posts**:
**Tuesday -- Customer Use Case**:
```
"We used to spend 3 hours every Monday pulling reports manually."
That's what @CustomerName's ops team told us last quarter.
After switching to [Product] automated workflows:
→ Report generation: 3 hours → 12 minutes
→ Data accuracy: 89% → 99.7%
→ Team freed up: 12 hours/week for strategic work
The best part? They set it up in a single afternoon.
Read the full story: [link in first comment]
#DataAutomation #Operations #CustomerSuccess
```
**Wednesday -- Team Culture Spotlight**:
```
This is Sarah. She joined us as intern #3 two years ago.
Last week she deployed our new ML pipeline to production.
By herself. On a Tuesday. No drama.
What happened in between:
→ Mentored by 4 different senior engineers
→ Shipped 47 PRs in her first year
→ Gave her first conference talk at 23
→ Now leads a team of 3
We don't hire for credentials.
We hire for curiosity and grit.
Sarah had both.
We're hiring 5 more engineers just like her.
Link in the comments.
#Hiring #Engineering #StartupCulture #WomenInTech
```
**Employee advocacy tracking**:
```
| Employee | Role | Posts/Week | Avg Reach | Topics |
|----------|------|-----------|-----------|--------|
| CEO | Executive | 3 | 8,500 | Vision, industry, leadership |
| CTO | Executive | 2 | 5,200 | Technical, architecture, hiring |
| VP Eng | Leader | 2 | 3,100 | Engineering culture, management |
| DevRel | IC | 3 | 4,800 | Tutorials, product, community |
```
**Analytics tracking cadence**:
```
Daily: Check post-level engagement (reactions, comments, shares)
Weekly: Follower growth, top-performing post, engagement rate trend
Monthly: Content audit — which pillars/formats performed best
Adjust next month's content mix based on data
Quarterly: Competitor benchmarking, SSI review, strategy refresh
```
### Example 3: Job Seeker Profile Optimization Campaign
**Scenario**: Senior developer transitioning to engineering management role.
**4-week content plan**:
```
Week 1: Establish expertise
- Post about a technical decision you led and its business impact
- Share a "lessons from my first year managing" story
- Comment on 10 engineering leadership posts
Week 2: Demonstrate thought leadership
- Publish a how-to post: "How I transitioned from IC to manager"
- Share data or a framework you've developed
- Start engaging with hiring managers' content in target companies
Week 3: Build social proof
- Post about a mentoring success story (tag the mentee with permission)
- Share a "things I wish I knew" post targeting new managers
- Request 3-5 recommendations from colleagues and reports
Week 4: Signal availability
- Post about what you're looking for (without desperation)
- Engage heavily in target company employees' content
- Send personalized connection requests to hiring managers
```
**Sample "open to opportunities" post**:
```
After 8 years of writing code and 2 years of leading teams,
I'm looking for my next engineering management challenge.
What I bring to the table:
→ Scaled a team from 4 to 22 engineers
→ Reduced deployment failures by 73% through better process
→ Mentored 6 engineers into senior roles
→ Built hiring pipelines that maintained 85%+ offer acceptance
What I'm looking for:
→ Series A-C company building something meaningful
→ Team of 8-20 engineers who care about craft
→ Leadership that values engineering culture, not just velocity
If your team is growing and you value
managers who still understand the code --
I'd love to chat.
DMs are open. Or drop a comment and I'll reach out.
#OpenToWork #EngineeringManager #Hiring #Leadership
```
||||||| parent of e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
=======
### Crisis Management for Negative Engagement ### Crisis Management for Negative Engagement
@@ -1790,4 +1037,3 @@ DMs are open. Or drop a comment and I'll reach out.
#OpenToWork #EngineeringManager #Hiring #Leadership #OpenToWork #EngineeringManager #Hiring #Leadership
``` ```
>>>>>>> e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
-232
View File
@@ -660,237 +660,6 @@ default_active = false
[i18n.zh] [i18n.zh]
name = "Reddit Hand" name = "Reddit Hand"
description = "自主 Reddit 管理——监控子版块、发布内容、回复帖子并追踪 Karma 和互动" description = "自主 Reddit 管理——监控子版块、发布内容、回复帖子并追踪 Karma 和互动"
<<<<<<< HEAD
category = "通信"
[i18n.zh.settings.subreddits]
label = "子版块"
description = "要监控的子版块列表(逗号分隔,例如 rust,programming,machinelearning)"
[i18n.zh.settings.monitor_mode]
label = "监控模式"
description = "在监控的子版块中追踪哪些内容"
[i18n.zh.settings.auto_reply]
label = "自动回复"
description = "自动回复相关的帖子和评论"
[i18n.zh.settings.post_frequency]
label = "发布频率"
description = "创建原创帖子的频率"
[i18n.zh.settings.content_style]
label = "内容风格"
description = "帖子和回复的语气和风格"
[i18n.zh.settings.approval_mode]
label = "审批模式"
description = "将帖子和回复加入队列等待审核,而非直接发布"
[i18n.zh.settings.min_karma_to_post]
label = "最低发帖 Karma"
description = "仅在账户拥有至少此数量 Karma 的子版块中发帖"
[i18n.zh.settings.max_reply_depth]
label = "最大回复深度"
description = "回复的最大评论嵌套深度(深层嵌套的可见度较低)"
# ─── Spanish (Español) ────────────────────────────────────────────────────
[i18n.es]
name = "Hand de Reddit"
description = "Gestor autónomo de Reddit — monitorea subreddits, publica contenido, responde en hilos y rastrea karma e interacciones"
category = "Comunicación"
[i18n.es.settings.subreddits]
label = "Subreddits"
description = "Lista de subreddits a monitorear separados por comas (ej. rust,programming,machinelearning)"
[i18n.es.settings.monitor_mode]
label = "Modo de monitoreo"
description = "Qué rastrear en los subreddits monitoreados"
[i18n.es.settings.auto_reply]
label = "Respuesta automática"
description = "Responder automáticamente a publicaciones y comentarios relevantes"
[i18n.es.settings.post_frequency]
label = "Frecuencia de publicación"
description = "Con qué frecuencia crear publicaciones originales"
[i18n.es.settings.content_style]
label = "Estilo de contenido"
description = "Tono y enfoque para publicaciones y respuestas"
[i18n.es.settings.approval_mode]
label = "Modo de aprobación"
description = "Poner publicaciones y respuestas en cola para revisión en lugar de publicarlas directamente"
[i18n.es.settings.min_karma_to_post]
label = "Karma mínimo para publicar"
description = "Solo publicar en subreddits donde la cuenta tenga al menos este nivel de karma"
[i18n.es.settings.max_reply_depth]
label = "Profundidad máxima de respuesta"
description = "Profundidad máxima del hilo de comentarios para responder (los hilos más profundos tienen menos visibilidad)"
# ─── Japanese (日本語) ────────────────────────────────────────────────────
[i18n.ja]
name = "Reddit Hand"
description = "自律型Redditマネージャー——サブレディットの監視、コンテンツ投稿、スレッドへの返信、Karmaとエンゲージメントの追跡"
category = "コミュニケーション"
[i18n.ja.settings.subreddits]
label = "サブレディット"
description = "監視するサブレディットのリスト(カンマ区切り、例: rust,programming,machinelearning)"
[i18n.ja.settings.monitor_mode]
label = "監視モード"
description = "監視対象のサブレディットで追跡する内容"
[i18n.ja.settings.auto_reply]
label = "自動返信"
description = "関連する投稿やコメントに自動で返信する"
[i18n.ja.settings.post_frequency]
label = "投稿頻度"
description = "オリジナル投稿を作成する頻度"
[i18n.ja.settings.content_style]
label = "コンテンツスタイル"
description = "投稿と返信のトーンとアプローチ"
[i18n.ja.settings.approval_mode]
label = "承認モード"
description = "投稿や返信を直接公開せず、レビュー用キューに追加する"
[i18n.ja.settings.min_karma_to_post]
label = "投稿に必要な最低Karma"
description = "アカウントが最低このKarmaを持つサブレディットでのみ投稿する"
[i18n.ja.settings.max_reply_depth]
label = "最大返信深度"
description = "返信するコメントスレッドの最大ネスト深度(深いスレッドほど可視性が低い)"
# ─── French (Français) ────────────────────────────────────────────────────
[i18n.fr]
name = "Hand Reddit"
description = "Gestionnaire Reddit autonome — surveille les subreddits, publie du contenu, répond dans les fils et suit le karma et l'engagement"
category = "Communication"
[i18n.fr.settings.subreddits]
label = "Subreddits"
description = "Liste de subreddits à surveiller séparés par des virgules (ex. rust,programming,machinelearning)"
[i18n.fr.settings.monitor_mode]
label = "Mode de surveillance"
description = "Ce qu'il faut suivre dans les subreddits surveillés"
[i18n.fr.settings.auto_reply]
label = "Réponse automatique"
description = "Répondre automatiquement aux publications et commentaires pertinents"
[i18n.fr.settings.post_frequency]
label = "Fréquence de publication"
description = "Fréquence de création de publications originales"
[i18n.fr.settings.content_style]
label = "Style de contenu"
description = "Ton et approche pour les publications et réponses"
[i18n.fr.settings.approval_mode]
label = "Mode d'approbation"
description = "Mettre les publications et réponses en file d'attente pour révision au lieu de les publier directement"
[i18n.fr.settings.min_karma_to_post]
label = "Karma minimum pour publier"
description = "Ne publier que dans les subreddits où le compte possède au moins ce niveau de karma"
[i18n.fr.settings.max_reply_depth]
label = "Profondeur maximale de réponse"
description = "Profondeur maximale d'imbrication des commentaires pour répondre (les fils plus profonds ont moins de visibilité)"
# ─── German (Deutsch) ────────────────────────────────────────────────────
[i18n.de]
name = "Reddit-Hand"
description = "Autonomer Reddit-Manager — überwacht Subreddits, postet Inhalte, antwortet in Threads und verfolgt Karma und Engagement"
category = "Kommunikation"
[i18n.de.settings.subreddits]
label = "Subreddits"
description = "Kommagetrennte Liste der zu überwachenden Subreddits (z.B. rust,programming,machinelearning)"
[i18n.de.settings.monitor_mode]
label = "Überwachungsmodus"
description = "Was in den überwachten Subreddits verfolgt werden soll"
[i18n.de.settings.auto_reply]
label = "Automatische Antwort"
description = "Automatisch auf relevante Beiträge und Kommentare antworten"
[i18n.de.settings.post_frequency]
label = "Veröffentlichungshäufigkeit"
description = "Wie oft originale Beiträge erstellt werden"
[i18n.de.settings.content_style]
label = "Inhaltsstil"
description = "Ton und Ansatz für Beiträge und Antworten"
[i18n.de.settings.approval_mode]
label = "Genehmigungsmodus"
description = "Beiträge und Antworten zur Überprüfung in die Warteschlange stellen, anstatt sie direkt zu veröffentlichen"
[i18n.de.settings.min_karma_to_post]
label = "Mindest-Karma zum Posten"
description = "Nur in Subreddits posten, in denen das Konto mindestens dieses Karma-Level hat"
[i18n.de.settings.max_reply_depth]
label = "Maximale Antworttiefe"
description = "Maximale Verschachtelungstiefe für Kommentarantworten (tiefere Threads haben geringere Sichtbarkeit)"
# ─── Korean (한국어) ────────────────────────────────────────────────────
[i18n.ko]
name = "Reddit Hand"
description = "자율 Reddit 관리 — 서브레딧 모니터링, 콘텐츠 게시, 스레드 댓글 및 카르마와 참여도 추적"
category = "커뮤니케이션"
[i18n.ko.settings.subreddits]
label = "서브레딧"
description = "모니터링할 서브레딧 목록 (쉼표로 구분, 예: rust,programming,machinelearning)"
[i18n.ko.settings.monitor_mode]
label = "모니터링 모드"
description = "모니터링 대상 서브레딧에서 추적할 콘텐츠"
[i18n.ko.settings.auto_reply]
label = "자동 답글"
description = "관련 게시물과 댓글에 자동으로 답글 작성"
[i18n.ko.settings.post_frequency]
label = "게시 빈도"
description = "원본 게시물 작성 주기"
[i18n.ko.settings.content_style]
label = "콘텐츠 스타일"
description = "게시물과 답글의 어조와 접근 방식"
[i18n.ko.settings.approval_mode]
label = "승인 모드"
description = "게시물과 답글을 직접 게시하지 않고 대기열에 추가하여 검토"
[i18n.ko.settings.min_karma_to_post]
label = "최소 게시 카르마"
description = "계정이 최소 이만큼의 카르마를 보유한 서브레딧에서만 게시"
[i18n.ko.settings.max_reply_depth]
label = "최대 답글 깊이"
description = "답글 작성의 최대 댓글 중첩 깊이 (깊은 중첩일수록 노출도 감소)"
||||||| parent of e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
=======
category = "通信" category = "通信"
[i18n.zh.settings.subreddits] [i18n.zh.settings.subreddits]
@@ -1191,4 +960,3 @@ description = "참여할 주제의 필터 수준 — 엄격 모드는 NSFW, 정
[i18n.ko.settings.authenticity_mode] [i18n.ko.settings.authenticity_mode]
label = "진정성 모드" label = "진정성 모드"
description = "봇 탐지를 피하기 위한 인간과 유사한 상호작용 패턴 유지 전략" description = "봇 탐지를 피하기 위한 인간과 유사한 상호작용 패턴 유지 전략"
>>>>>>> e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
-769
View File
@@ -315,774 +315,6 @@ Monitor account standing:
- Build karma organically through genuine engagement - Build karma organically through genuine engagement
- Avoid posting too frequently (triggers spam filters) - Avoid posting too frequently (triggers spam filters)
- Diversify activity across multiple subreddits - Diversify activity across multiple subreddits
<<<<<<< HEAD
---
## 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:
```bash
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:
```bash
# 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:
```bash
# 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**:
```bash
# 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)**:
```bash
# 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**:
```bash
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**:
```bash
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):
```bash
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**:
```bash
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**:
```bash
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**:
```bash
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**:
```bash
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**:
```bash
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**:
```bash
# 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**:
```bash
# 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**:
```bash
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**:
```bash
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):
```bash
# 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:
```bash
# 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**:
```bash
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**:
```bash
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 |
### ROI Measurement for Business-Related Reddit Activity
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]
```
||||||| parent of e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
=======
--- ---
@@ -1853,4 +1085,3 @@ where cost = (hours/week * hourly rate) + content creation time + tool costs.
- Notable: [Thread title] — [subreddit] — [link] - Notable: [Thread title] — [subreddit] — [link]
- Plan: [Target subreddits] | [Content planned] - Plan: [Target subreddits] | [Content planned]
``` ```
>>>>>>> e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
+1 -305
View File
@@ -703,309 +703,6 @@ default_active = false
[i18n.zh] [i18n.zh]
name = "Twitter Hand" name = "Twitter Hand"
description = "自主 Twitter/X 管理——内容创作、定时发布、互动管理和效果追踪" description = "自主 Twitter/X 管理——内容创作、定时发布、互动管理和效果追踪"
<<<<<<< HEAD
category = "通信"
[i18n.zh.settings.twitter_bearer_token]
label = "Twitter Bearer Token"
description = "Twitter/X 开发者平台的 Bearer Token,所有 Twitter API 操作均需此凭证。"
[i18n.zh.settings.twitter_style]
label = "内容风格"
description = "推文的语气和风格"
[i18n.zh.settings.post_frequency]
label = "发布频率"
description = "创建和发布内容的频率"
[i18n.zh.settings.auto_reply]
label = "自动回复"
description = "自动回复提及和相关对话"
[i18n.zh.settings.auto_like]
label = "自动点赞"
description = "自动为人脉网络中的推文和相关内容点赞"
[i18n.zh.settings.content_topics]
label = "内容主题"
description = "要创作内容的主题(逗号分隔,例如 AI、创业、效率提升)"
[i18n.zh.settings.brand_voice]
label = "品牌调性"
description = "描述你的独特风格(例如"用幽默简化复杂技术的创业者")"
[i18n.zh.settings.thread_mode]
label = "推文串模式"
description = "在内容组合中加入推文串(多条推文组成的故事)"
[i18n.zh.settings.content_queue_size]
label = "内容队列大小"
description = "待发队列中保持的推文数量"
[i18n.zh.settings.engagement_hours]
label = "互动时段"
description = "检查提及和互动的时间段"
[i18n.zh.settings.approval_mode]
label = "审批模式"
description = "将推文写入队列等待审核,而非直接发布"
# ─── Spanish (Español) ────────────────────────────────────────────────────
[i18n.es]
name = "Hand de Twitter"
description = "Gestor autónomo de Twitter/X — creación de contenido, publicación programada, interacciones y seguimiento de rendimiento"
category = "Comunicación"
[i18n.es.settings.twitter_bearer_token]
label = "Token Bearer de Twitter"
description = "Token Bearer del Portal de Desarrolladores de Twitter/X. Requerido para todas las operaciones de la API de Twitter."
[i18n.es.settings.twitter_style]
label = "Estilo de contenido"
description = "Voz y tono para tus tweets"
[i18n.es.settings.post_frequency]
label = "Frecuencia de publicación"
description = "Con qué frecuencia crear y publicar contenido"
[i18n.es.settings.auto_reply]
label = "Respuesta automática"
description = "Responder automáticamente a menciones y conversaciones relevantes"
[i18n.es.settings.auto_like]
label = "Me gusta automático"
description = "Dar me gusta automáticamente a tweets de tu red y contenido relevante"
[i18n.es.settings.content_topics]
label = "Temas de contenido"
description = "Temas sobre los que crear contenido (separados por comas, ej. IA, startups, productividad)"
[i18n.es.settings.brand_voice]
label = "Voz de marca"
description = "Describe tu voz única (ej. 'fundador sarcástico que simplifica la tecnología compleja')"
[i18n.es.settings.thread_mode]
label = "Modo de hilos"
description = "Incluir hilos de tweets (historias de múltiples tweets) en la mezcla de contenido"
[i18n.es.settings.content_queue_size]
label = "Tamaño de la cola de contenido"
description = "Número de tweets a mantener en la cola preparada"
[i18n.es.settings.engagement_hours]
label = "Horario de interacción"
description = "Cuándo verificar menciones e interactuar"
[i18n.es.settings.approval_mode]
label = "Modo de aprobación"
description = "Escribir los tweets en un archivo de cola para revisión en lugar de publicarlos directamente"
# ─── Japanese (日本語) ────────────────────────────────────────────────────
[i18n.ja]
name = "Twitter Hand"
description = "自律型Twitter/Xマネージャー——コンテンツ作成、スケジュール投稿、エンゲージメント管理、パフォーマンス追跡"
category = "コミュニケーション"
[i18n.ja.settings.twitter_bearer_token]
label = "Twitter Bearerトークン"
description = "Twitter/X開発者ポータルのBearerトークン。すべてのTwitter API操作に必要です。"
[i18n.ja.settings.twitter_style]
label = "コンテンツスタイル"
description = "ツイートの語調とスタイル"
[i18n.ja.settings.post_frequency]
label = "投稿頻度"
description = "コンテンツの作成・投稿の頻度"
[i18n.ja.settings.auto_reply]
label = "自動返信"
description = "メンションや関連する会話に自動で返信する"
[i18n.ja.settings.auto_like]
label = "自動いいね"
description = "ネットワーク内のツイートや関連コンテンツに自動でいいねする"
[i18n.ja.settings.content_topics]
label = "コンテンツトピック"
description = "作成するコンテンツのトピック(カンマ区切り、例: AI、スタートアップ、生産性)"
[i18n.ja.settings.brand_voice]
label = "ブランドボイス"
description = "あなた独自の語り口を記述(例:「複雑なテクノロジーをわかりやすく伝える皮肉屋の起業家」)"
[i18n.ja.settings.thread_mode]
label = "スレッドモード"
description = "コンテンツミックスにツイートスレッド(複数ツイートで構成するストーリー)を含める"
[i18n.ja.settings.content_queue_size]
label = "コンテンツキューサイズ"
description = "準備キューに保持するツイートの数"
[i18n.ja.settings.engagement_hours]
label = "エンゲージメント時間帯"
description = "メンションの確認とエンゲージメントを行う時間帯"
[i18n.ja.settings.approval_mode]
label = "承認モード"
description = "ツイートを直接投稿せず、レビュー用のキューファイルに書き出す"
# ─── French (Français) ────────────────────────────────────────────────────
[i18n.fr]
name = "Hand Twitter"
description = "Gestionnaire Twitter/X autonome — création de contenu, publication programmée, interactions et suivi des performances"
category = "Communication"
[i18n.fr.settings.twitter_bearer_token]
label = "Jeton Bearer Twitter"
description = "Jeton Bearer du Portail Développeurs Twitter/X. Requis pour toutes les opérations de l'API Twitter."
[i18n.fr.settings.twitter_style]
label = "Style de contenu"
description = "Ton et style pour vos tweets"
[i18n.fr.settings.post_frequency]
label = "Fréquence de publication"
description = "Fréquence de création et de publication de contenu"
[i18n.fr.settings.auto_reply]
label = "Réponse automatique"
description = "Répondre automatiquement aux mentions et conversations pertinentes"
[i18n.fr.settings.auto_like]
label = "Like automatique"
description = "Aimer automatiquement les tweets de votre réseau et le contenu pertinent"
[i18n.fr.settings.content_topics]
label = "Sujets de contenu"
description = "Sujets sur lesquels créer du contenu (séparés par des virgules, ex. IA, startups, productivité)"
[i18n.fr.settings.brand_voice]
label = "Voix de marque"
description = "Décrivez votre voix unique (ex. 'fondateur sarcastique qui simplifie la technologie complexe')"
[i18n.fr.settings.thread_mode]
label = "Mode fil de discussion"
description = "Inclure des fils de tweets (histoires à plusieurs tweets) dans le mix de contenu"
[i18n.fr.settings.content_queue_size]
label = "Taille de la file de contenu"
description = "Nombre de tweets à maintenir dans la file d'attente préparée"
[i18n.fr.settings.engagement_hours]
label = "Heures d'engagement"
description = "Quand vérifier les mentions et interagir"
[i18n.fr.settings.approval_mode]
label = "Mode d'approbation"
description = "Écrire les tweets dans un fichier d'attente pour révision au lieu de les publier directement"
# ─── German (Deutsch) ────────────────────────────────────────────────────
[i18n.de]
name = "Twitter-Hand"
description = "Autonomer Twitter/X-Manager — Content-Erstellung, geplante Veröffentlichung, Engagement-Management und Performance-Tracking"
category = "Kommunikation"
[i18n.de.settings.twitter_bearer_token]
label = "Twitter Bearer-Token"
description = "Bearer-Token vom Twitter/X-Entwicklerportal. Erforderlich für alle Twitter-API-Operationen."
[i18n.de.settings.twitter_style]
label = "Inhaltsstil"
description = "Ton und Stil für Ihre Tweets"
[i18n.de.settings.post_frequency]
label = "Veröffentlichungshäufigkeit"
description = "Wie oft Inhalte erstellt und veröffentlicht werden"
[i18n.de.settings.auto_reply]
label = "Automatische Antwort"
description = "Automatisch auf Erwähnungen und relevante Gespräche antworten"
[i18n.de.settings.auto_like]
label = "Automatisches Like"
description = "Tweets im Netzwerk und relevante Inhalte automatisch liken"
[i18n.de.settings.content_topics]
label = "Inhaltsthemen"
description = "Themen für die Content-Erstellung (kommagetrennt, z.B. KI, Startups, Produktivität)"
[i18n.de.settings.brand_voice]
label = "Markenstimme"
description = "Beschreiben Sie Ihre einzigartige Stimme (z.B. 'sarkastischer Gründer, der komplexe Technologie vereinfacht')"
[i18n.de.settings.thread_mode]
label = "Thread-Modus"
description = "Tweet-Threads (mehrteilige Tweet-Geschichten) in den Content-Mix aufnehmen"
[i18n.de.settings.content_queue_size]
label = "Größe der Content-Warteschlange"
description = "Anzahl der Tweets in der vorbereiteten Warteschlange"
[i18n.de.settings.engagement_hours]
label = "Engagement-Zeiten"
description = "Wann Erwähnungen geprüft und interagiert werden soll"
[i18n.de.settings.approval_mode]
label = "Genehmigungsmodus"
description = "Tweets in eine Warteschlangendatei zur Überprüfung schreiben, anstatt sie direkt zu veröffentlichen"
# ─── Korean (한국어) ────────────────────────────────────────────────────
[i18n.ko]
name = "Twitter Hand"
description = "자율 Twitter/X 관리 — 콘텐츠 제작, 예약 게시, 소통 관리 및 성과 추적"
category = "커뮤니케이션"
[i18n.ko.settings.twitter_bearer_token]
label = "Twitter Bearer 토큰"
description = "Twitter/X 개발자 포털의 Bearer 토큰. 모든 Twitter API 작업에 필수."
[i18n.ko.settings.twitter_style]
label = "콘텐츠 스타일"
description = "트윗의 어조와 스타일"
[i18n.ko.settings.post_frequency]
label = "게시 빈도"
description = "콘텐츠를 작성하고 게시하는 주기"
[i18n.ko.settings.auto_reply]
label = "자동 답글"
description = "멘션 및 관련 대화에 자동으로 답글 작성"
[i18n.ko.settings.auto_like]
label = "자동 좋아요"
description = "네트워크 내 트윗 및 관련 콘텐츠에 자동으로 좋아요"
[i18n.ko.settings.content_topics]
label = "콘텐츠 주제"
description = "콘텐츠를 작성할 주제 (쉼표로 구분, 예: AI, 스타트업, 생산성)"
[i18n.ko.settings.brand_voice]
label = "브랜드 보이스"
description = "고유한 스타일을 설명 (예: '복잡한 기술을 쉽게 풀어내는 유머러스한 창업자')"
[i18n.ko.settings.thread_mode]
label = "스레드 모드"
description = "콘텐츠 구성에 트윗 스레드 (다중 트윗 스토리) 포함"
[i18n.ko.settings.content_queue_size]
label = "콘텐츠 대기열 크기"
description = "준비 대기열에 유지할 트윗 수"
[i18n.ko.settings.engagement_hours]
label = "소통 시간대"
description = "멘션 확인 및 소통 활동을 수행하는 시간대"
[i18n.ko.settings.approval_mode]
label = "승인 모드"
description = "트윗을 직접 게시하지 않고 대기열 파일에 기록하여 검토"
||||||| parent of e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
=======
category = "通信" category = "通信"
[i18n.zh.settings.twitter_bearer_token] [i18n.zh.settings.twitter_bearer_token]
@@ -1250,7 +947,7 @@ label = "Seuil d'engagement"
description = "Nombre minimum d'abonnés pour les réponses et likes automatiques (filtre les bots et le spam)" description = "Nombre minimum d'abonnés pour les réponses et likes automatiques (filtre les bots et le spam)"
[i18n.fr.settings.growth_mode] [i18n.fr.settings.growth_mode]
label = "Mode croissance" label = "Mode de croissance"
description = "Optimiser la stratégie pour une croissance depuis zéro — privilégie les réponses aux grands comptes et la participation communautaire" description = "Optimiser la stratégie pour une croissance depuis zéro — privilégie les réponses aux grands comptes et la participation communautaire"
# ─── German (Deutsch) ──────────────────────────────────────────────────── # ─── German (Deutsch) ────────────────────────────────────────────────────
@@ -1378,4 +1075,3 @@ description = "자동 답글 및 좋아요 대상의 최소 팔로워 수 (봇
[i18n.ko.settings.growth_mode] [i18n.ko.settings.growth_mode]
label = "성장 모드" label = "성장 모드"
description = "제로에서 시작하는 성장 전략 최적화 — 대형 계정에 답글과 커뮤니티 참여를 우선시" description = "제로에서 시작하는 성장 전략 최적화 — 대형 계정에 답글과 커뮤니티 참여를 우선시"
>>>>>>> e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
-70
View File
@@ -298,75 +298,6 @@ Do NOT auto-like:
--- ---
<<<<<<< HEAD
## Advanced Engagement Patterns
### Quote Tweet vs Reply vs Retweet
Choosing the right interaction type determines whether you gain visibility or waste it.
**Use a Quote Tweet when**:
- You have a distinct take or added context (not just "this!")
- The original tweet has high impressions and you want to draft off its reach
- You are crediting someone while adding your own insight for your audience
- The original author has a similar or larger following (exposes you to their audience)
**Use a Reply when**:
- You want to build a direct relationship with the author
- Your comment only makes sense in context of the original
- The original author has a much larger following (replies show on their thread, giving you visibility without looking self-promotional)
- You are answering a question or adding a correction
**Use a plain Retweet when**:
- The original says everything perfectly and you have nothing to add
- You want to signal-boost a community member, customer, or partner
- The content is time-sensitive (breaking news, event announcements)
**Avoid**:
- Quote tweeting with only emojis or "this" -- adds no value, looks lazy
- Quote tweeting someone with fewer followers just to dunk -- punching down
- Retweeting more than 3-4 times per day -- dilutes your original content ratio
### Thread Repurposing
A thread that performed well contains 5-7 standalone content pieces. Extract them over the following week to maximize ROI.
**Process**:
1. Day 0 (original): Post the full thread
2. Day 2: Pull the single most quotable tweet from the thread. Post it standalone with slightly different wording. No link back to the thread
3. Day 4: Turn a data point or example from the thread into a graphic or screenshot tweet
4. Day 6: Post the thread's core thesis as a hot take (one tweet, punchy)
5. Day 8+: If engagement stayed strong, post a "Part 2" thread that goes deeper on whichever tweet in the original got the most replies
**Rules**:
- Change the wording each time -- copy-pasting feels like spam to followers who saw the original
- Space extractions at least 48 hours apart
- Stop if any extraction underperforms significantly -- the topic is tapped out
- Never repurpose a thread that got low engagement; the content did not resonate
### Trending Topic Participation
**When to participate**:
- The trend directly intersects one of your content pillars
- You have a genuine, informed perspective (not a generic reaction)
- The trend is still rising (check the "Trending" tab; if it has been trending for >12 hours, you are late)
- The tone of the trend matches your brand voice
**When to avoid**:
- Tragedy, disaster, or crisis events -- opportunistic posting destroys trust
- Highly polarized political or social debates outside your expertise
- Trends driven by outrage mobs -- associating your brand is high-risk, low-reward
- You would need to force-fit your product or message into the trend
**Execution**:
- Lead with your actual insight, not the hashtag. The hashtag goes at the end or is omitted entirely if the topic keyword is in your text
- Be early or be different. If 50 people have already made the same joke, skip it
- Tie back to your pillar: "Trend X is exactly why [your pillar topic] matters more than ever"
---
||||||| parent of e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
=======
## Advanced Engagement Patterns ## Advanced Engagement Patterns
### Quote Tweet vs Reply vs Retweet ### Quote Tweet vs Reply vs Retweet
@@ -462,7 +393,6 @@ Not all negative replies require the same response. Classify before acting:
--- ---
>>>>>>> e65ad25 (feat(hands): improve linkedin, reddit, and twitter hands)
## Content Calendar Template ## Content Calendar Template
``` ```