Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server.
Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback.
Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
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name
reddit-insights
description
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server.
Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback.
Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
Reddit Insights MCP
Semantic search across millions of Reddit posts. Unlike keyword search, this understands intent and meaning.
Mode
Detect from context or ask: "Quick pulse, full research, or strategic intelligence report?"
Mode
What you get
Best for
quick
1 query, top 5 insights, no synthesis
Fast pain point check, content spark
standard
3–5 queries, full synthesis with themes and patterns
Default: standard — use quick for a fast read. Use deep if they're validating a product idea or building a content strategy.
Why This vs ChatGPT?
Problem with ChatGPT: It has no real-time Reddit access. It can't search current discussions, can't filter by engagement, and can't show you what people are saying RIGHT NOW about your topic.
This skill provides:
Live semantic search - Searches millions of Reddit posts with AI-powered intent matching (not just keywords)
Engagement filtering - Sort by upvotes/comments to find validated pain points
Sentiment analysis - Automatically tags posts as Discussion/Q&A/Story/News
Relevance scoring - Shows 0-1 match score so you know which results matter
Subreddit intelligence - Browse communities, see trending topics, get recent posts
Direct links - Every result includes Reddit URL for full context
You can replicate this by manually browsing Reddit, searching multiple subreddits, reading hundreds of posts, taking notes, and synthesizing patterns. Takes 1-2 hours per research query. This skill does it in 15-20 seconds.
Response time: 12-25 seconds (varies by query complexity)
Simple queries: ~12-15s
Complex semantic queries: ~17-20s
Heavy load periods: up to 25s
Best results: Specific products, emotional language, comparison questions
Weaker results: Abstract concepts, non-English queries, generic business terms
Sweet spot: Questions a real person would ask on Reddit
Best Use Cases (Tested)
Use Case
Effectiveness
Why
Product comparisons (A vs B)
⭐⭐⭐⭐⭐
Reddit loves debates
Tool/app recommendations
⭐⭐⭐⭐⭐
High-intent discussions
Side hustle/money topics
⭐⭐⭐⭐⭐
Engaged communities
Pain point discovery
⭐⭐⭐⭐
Emotional posts rank well
Health questions
⭐⭐⭐⭐
Active health subreddits
Technical how-to
⭐⭐⭐
Better to search specific subreddits
Abstract market research
⭐⭐
Too vague for semantic search
Non-English queries
⭐
Reddit is English-dominant
Query Strategies (Tested with Real Data)
✅ Excellent Queries (relevance 0.70+)
Product Comparisons (best results!):
"Notion vs Obsidian for note taking which one should I use"
→ Relevance: 0.72-0.81 | Found: Detailed comparison discussions, user experiences
"why I switched from Salesforce to HubSpot honest experience"
→ Relevance: 0.70-0.73 | Found: Migration stories, feature comparisons
Side Hustle/Money Topics:
"side hustle ideas that actually make money not scams"
→ Relevance: 0.70-0.77 | Found: Real experiences, specific suggestions
Niche App Research:
"daily horoscope apps which one is accurate and why"
→ Relevance: 0.67-0.72 | Found: App recommendations, feature requests
✅ Good Queries (relevance 0.60-0.69)
Pain Point Discovery:
"I hate my current CRM it is so frustrating"
→ Relevance: 0.60-0.64 | Found: Specific CRM complaints, feature wishlists
"cant sleep at night tried everything what actually works"
→ Relevance: 0.60-0.63 | Found: Sleep remedies discussions, medical advice seeking
Tool Evaluation:
"AI tools that actually save time not just hype"
→ Relevance: 0.64-0.65 | Found: Real productivity gains, tool recommendations
{"id":"1oecf5e","title":"Trying to solve the productivity stack problem","content":"The perfect productivity app doesn't exist. No single app can do everything well, so we use a stack of apps. But this creates another problem: multi app fragmentation...","subreddit":"productivityapps","upvotes":1,"comments":0,"relevance":0.631,"sentiment":"Discussion","url":"https://reddit.com/r/productivityapps/comments/1oecf5e"}
Real Case Study
User: SaaS founder validating a new project management tool idea
Challenge: Needed to understand real frustrations with existing PM tools (Asana, Monday, ClickUp) to find positioning angle.
Research Query:
reddit_search("I hate my project management tool it's so frustrating for remote teams", limit=50)
What They Found (in 18 seconds):
42 posts with 0.60+ relevance
Top pain points (mentioned 15+ times):
"Too complicated for simple projects"
"Mobile app is terrible"
"Hard to see the big picture"
"Notifications are overwhelming"
"Pricing jumps too fast with team size"
Most upvoted insight (+347 upvotes, r/startups):
"We switched from Monday to a Notion template because Monday felt like learning a new language just to assign a task. Sometimes simple beats powerful."
Positioning Decision:
Built messaging around: "Project management that feels like a shared doc, not enterprise software."
Product Changes Made:
Simplified onboarding (3 clicks to first task vs 15-step wizard)
Mobile-first design (every feature tested on phone first)
Flat pricing ($8/user, no tiers)
Big-picture dashboard view (Gantt hidden by default)
Results (6 months post-launch):
2,400 paying users
78% came from "Reddit research-informed" messaging
4.7/5 rating on G2 with reviews saying "finally, PM without the bloat"
Founder quote: "That one Reddit search saved us from building features nobody wanted."
Tips
Natural language works best - Ask questions like a human would
Include context - "for small business" or "as a developer" improves results
Results from 3+ different subreddits (diverse perspectives)
Mix of high engagement (100+ upvotes) and niche discussions
Clear patterns across multiple posts (not one-off opinions)
Recent posts (<90 days) mixed with classic threads
Common Mistakes to Avoid
❌ Being too generic - "marketing tips" returns weak results; "B2B cold email that actually works" is better
❌ Ignoring engagement metrics - A post with 2 upvotes is one person's opinion; 200+ upvotes is validated
❌ Taking single posts as truth - Look for patterns across 5-10 posts minimum
❌ Forgetting to check sentiment - A "Discussion" post is different from a "Q&A" (check the field!)
❌ Not visiting actual threads - The semantic summary is great, but top comments often have gold
Built on semantic AI search (not keyword matching).Find what people REALLY think. Not what marketing says they think.
