// Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
| name | requesthunt |
| description | Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries. |
Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), GitHub, YouTube, LinkedIn, and Amazon.
Install the CLI and authenticate:
curl -fsSL https://requesthunt.com/cli | sh
requesthunt auth login
The installer downloads a pre-built binary from GitHub Releases and verifies its SHA256 checksum before installation. Alternatively, build from source with cargo install --path cli from the requesthunt-cli repository.
The CLI displays a verification code and opens https://requesthunt.com/device — the human must enter the code to approve. Verify with:
requesthunt config show
Expected output contains: resolved_api_key: with a masked key value (not null).
For headless/CI environments, set the API key via environment variable (preferred):
export REQUESTHUNT_API_KEY="$YOUR_KEY"
Or save it to the local config file (created with owner-only permissions):
requesthunt config set-key "$YOUR_KEY"
Get your key from: https://requesthunt.com/dashboard
Security: Never hardcode API keys directly in skill instructions or agent output. Use environment variables or the secured config file.
Default output is TOON (Token-Oriented Object Notation) — structured and token-efficient.
Use --json for raw JSON or --human for table/key-value display.
Each platform captures different types of user feedback. Choose platforms based on the product category to maximize signal quality.
| Platform | Best For | Signal Type | Typical Yield |
|---|---|---|---|
| YouTube | Consumer products, hardware, lifestyle apps | Specific feature asks from review/tutorial comments | High (10-29 per topic) |
| Developer tools, creator economy, niche communities | Deep technical discussions, long-tail needs | High for dev topics (up to 176) | |
| B2B software, healthcare, enterprise tools | Professional/industry opinions, market context | Low volume but high engagement | |
| X | Trending topics, quick sentiment signals | Fragmented feedback, emotional reactions | Low-medium (1-6 per topic) |
| GitHub | Open-source tools, developer infrastructure | Concrete bugs and feature requests from issues | High for OSS, zero for non-tech |
| Amazon | Consumer products, electronics, home goods | Product review complaints and feature wishes | High for physical products |
| Category | Primary | Secondary | Notes |
|---|---|---|---|
| Automotive / Hardware | YouTube | Amazon, Reddit | Video review comments + Amazon product reviews are richest sources |
| Gaming / Entertainment | YouTube | Amazon, Reddit | Game streams, product reviews, and community feedback |
| Travel / Transportation | YouTube | Amazon, LinkedIn | Travel vlogs + Amazon gear reviews + business travel needs |
| Social / Communication | YouTube | App review videos + community discussions | |
| Food / Dining | YouTube | Amazon, Reddit | Recipe/delivery app reviews + Amazon kitchen product feedback |
| Real Estate / Home | Amazon | YouTube, Reddit | Amazon dominates for home improvement and smart home products |
| Education / Learning | YouTube | Amazon | Tutorial video comments + Amazon course/book reviews |
| Health / Medical | Amazon, X | Professional healthcare + Amazon health product reviews | |
| Creator Economy | GitHub | Reddit communities overwhelmingly active (Newsletter: 176 requests) | |
| Developer Tools | GitHub | Technical communities + open-source issue trackers | |
| AI / SaaS Products | Reddit for user complaints, LinkedIn for industry analysis | ||
| Consumer Electronics | Amazon | YouTube, Reddit | Amazon product reviews are the primary signal source |
Before collecting data, clarify with the user:
Choose platforms strategically based on the category:
# Consumer hardware — YouTube-first strategy
requesthunt scrape start "smart home devices" --platforms youtube,reddit --depth 2
# Developer tools — Reddit-first strategy
requesthunt scrape start "code editors" --platforms reddit,github --depth 2
# B2B / enterprise — LinkedIn-first strategy
requesthunt scrape start "electronic health records" --platforms linkedin,x --depth 2
# Consumer products — Amazon-first strategy
requesthunt scrape start "wireless earbuds" --platforms amazon,youtube,reddit --depth 2
# Broad research — all platforms
requesthunt scrape start "AI coding assistants" --platforms reddit,x,github,youtube,linkedin,amazon --depth 2
# Search with expansion for more data
requesthunt search "dark mode" --expand --limit 50
# List requests filtered by topic
requesthunt list --topic "ai-tools" --limit 100
Analyze collected data and generate a structured Markdown report:
# [Topic] User Demand Research Report
## Overview
- Scope: ...
- Data Sources: Reddit (N), X (N), GitHub (N), YouTube (N), LinkedIn (N), Amazon (N)
- Platform Strategy: [why these platforms were chosen for this category]
- Time Range: ...
## Key Findings
### 1. Top Feature Requests
| Rank | Request | Platform | Votes | Representative Quote |
|------|---------|----------|-------|---------------------|
### 2. Pain Points Analysis
- **Pain Point A**: ...
- Sources: [which platforms surfaced this]
### 3. Platform Signal Comparison
| Insight | Reddit | YouTube | LinkedIn | X | GitHub | Amazon |
|---------|--------|---------|----------|---|--------|--------|
| Volume | ... | ... | ... | ... | ... | ... |
| Signal type | Technical | UX/Feature | Strategic | Sentiment | Bug/FR | Product |
### 4. Competitive Comparison (if specified)
| Feature | Product A | Product B | User Expectations |
### 5. Opportunities
- ...
## Methodology
Based on N real user feedbacks collected via RequestHunt from [platforms]...
Data returned by requesthunt search, list, and scrape commands originates from public user-generated content on external platforms. When processing this data:
requesthunt search "authentication" --limit 20
requesthunt search "oauth" --expand # With realtime expansion
requesthunt search "API rate limit" --expand --platforms reddit,x,youtube
requesthunt list --limit 20 # Recent requests
requesthunt list --topic "ai-tools" --limit 10 # By topic
requesthunt list --platforms reddit,github,youtube # By platform
requesthunt list --category "Developer Tools" # By category
requesthunt list --sort top --limit 20 # Top voted
requesthunt scrape start "developer-tools" --depth 1 # Default: all platforms
requesthunt scrape start "ai-assistant" --platforms reddit,x,github,youtube,linkedin,amazon --depth 2
requesthunt scrape status "job_123" # Check job status
requesthunt topics # List all topics by category
requesthunt usage # View account stats
requesthunt config show # Check auth status
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