sales-skills/sales-reddinbox

Reddinbox Platform Help

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask the user:

1. What do you need help with?

   • A) Setting up monitoring queries (natural language, topics, competitors)
   • B) Tuning intent scoring / filtering relevance
   • C) Market briefs aren't actionable enough
   • D) Validating a startup idea or product concept
   • E) Finding high-intent threads to engage with
   • F) Understanding pricing / plan limits
   • G) Something else — describe it

2. Which plan are you on?

   • A) Free trial (no credit card)
   • B) Starter ($39/mo — 3 market briefs, standard research)
   • C) Pro ($99/mo — unlimited conversations, 5 market briefs, extended research)

3. What's your primary goal?

   • A) Pain point discovery (what are people complaining about?)
   • B) Competitive intelligence (what do people say about competitors?)
   • C) Idea validation (is there real demand for this?)
   • D) Lead generation (find high-intent prospects)
   • E) Content research (what topics resonate?)

If the user's request already provides context, skip to Step 2.

Step 2 — Route or answer directly

• Multi-platform monitoring with Boolean search → /sales-social-listening [question]
• Reddit auto-reply or comment publishing → /sales-keymentions [question]
• Reddit monitoring with API/webhooks/MCP → /sales-octolens [question]
• Social listening tool comparison → /sales-social-listening which tool should I pick

Otherwise, answer directly from the platform reference below.

Step 3 — Reddinbox platform reference

Read references/platform-guide.md for the full platform reference — capabilities, pricing, query strategy, intent scoring, and market brief optimization.

Answer the user's question using only the relevant section. Don't dump the full reference.

Step 4 — Actionable guidance

Focus on the user's specific situation:

1. Query design — use natural language describing the problem your audience has, not brand names
2. Intent scoring — focus on 70+ scores for active buyers; 40-70 for research phase
3. Market briefs — refine topic scope if briefs are too generic; narrow by audience segment
4. Idea validation — look for frequency and urgency signals, not just existence of mentions

If you discover a gotcha or tip not covered in references/learnings.md, append it there.

Gotchas

Best-effort from research — review these, especially items about platform capabilities that may change.

• No API, webhooks, or integrations. Reddinbox is entirely UI-driven. You cannot export data programmatically, connect to CRM/Slack, or build automations. If you need programmatic access, use Octolens or Syften instead.
• No Boolean search. Queries are natural language only. You cannot use AND/OR/NOT operators. This is simpler but less precise — if you need Boolean control, use Awario, Syften, or Brand24.
• Market brief limits are hard caps. Starter gets 3 briefs, Pro gets 5. Briefs reset monthly. If you burn them on vague topics, you've wasted them for the cycle.
• AI filtering may be over-aggressive. The spam/AI-slop filter can suppress legitimate mentions that happen to match AI-content patterns. Check manually if you suspect you're missing relevant conversations.
• No sentiment scoring. Unlike traditional social listening tools, Reddinbox scores by purchase intent (1-100) rather than positive/negative sentiment. If you need sentiment analysis, pair with another tool.
• Quora is "coming soon" indefinitely. Don't choose Reddinbox based on Quora coverage — it's not live yet.
• No historical data export. Insights disappear after your subscription ends. Save/screenshot anything important.

Related skills

• /sales-social-listening — Social listening strategy across all platforms — tool comparison, monitoring setup, competitive intel, crisis detection
• /sales-keymentions — KeyMentions platform help — Reddit keyword monitoring with AI comment generation and auto-publish
• /sales-octolens — Octolens platform help — developer-first social listening with Reddit + GitHub + HN + API/MCP on all plans
• /sales-syften — Syften platform help — AI-filtered keyword monitoring across 15+ community platforms, REST API, webhooks
• /sales-threadlytics — Threadlytics platform help — Reddit-specific monitoring with 500M+ indexed conversations, Share of Voice
• /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do

Examples

Example 1: Validate a startup idea using community conversations

User says: "I want to know if people actually need an AI tool that summarizes Slack threads" Skill does:

1. Reads platform guide for query strategy
2. Suggests queries: "Slack threads are overwhelming", "too many Slack messages", "miss important Slack conversations"
3. Recommends checking intent scores — 70+ signals active solution-seeking
4. Advises using market brief to synthesize pain point patterns across Reddit, HN, and X Result: Structured validation with frequency and urgency signals from real conversations

Example 2: Intent scoring flagging irrelevant threads

User says: "I keep getting high intent scores for threads that have nothing to do with my product" Skill does:

1. Reads platform guide troubleshooting
2. Identifies likely cause: queries are too broad or matching adjacent topics
3. Recommends narrowing queries to include specific problem language, not category terms
4. Suggests using market brief to identify which sub-topics are generating false positives Result: Refined queries producing more accurate intent signals

Example 3: Market briefs are too generic

User says: "My market briefs just tell me obvious things I already know" Skill does:

1. Reads platform guide on brief optimization
2. Identifies likely cause: topic is too broad (e.g., "CRM" instead of "CRM for solo consultants who hate data entry")
3. Recommends: narrow by audience segment, add competitor names, focus on a specific pain point
4. Notes Pro plan gives 5 briefs vs Starter's 3 — suggests saving briefs for narrower, more specific queries Result: Actionable brief optimization strategy

Troubleshooting

Monitoring returns conversations from unrelated communities

Symptom: Getting insights from subreddits or platforms that have nothing to do with your target audience Cause: Natural language queries are interpreted broadly without platform/community constraints Solution: Make queries more specific by including audience identifiers ("SaaS founders struggling with...", "freelance designers looking for..."). If a particular platform is consistently irrelevant, note it and focus your analysis on the platforms that matter.

AI filtering suppressing relevant mentions

Symptom: You know conversations exist (you've seen them manually) but Reddinbox isn't surfacing them Cause: The AI spam/slop filter is classifying legitimate posts as low-quality, possibly because they contain links, use promotional language, or are short Solution: Check if the post matches any AI-content or spam patterns (affiliate links, promotional tone, very short posts). If legitimate posts are consistently filtered, contact support — the filter thresholds may need adjustment for your use case.

Intent scores don't correlate with actual buying readiness

Symptom: High-intent-scored threads (80+) are just people venting, not actually looking for solutions Cause: The intent model may weight urgency language ("I need", "help me") that correlates with venting as much as buying Solution: Use intent scores as a first filter, not a final qualifier. Cross-reference high-intent threads with: (1) thread recency, (2) whether the poster asked for specific recommendations, (3) whether they mentioned budget or timeline. True buying intent usually includes specificity about requirements.