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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, and LinkedIn. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.

RequestHunt Skill

Generate user demand research reports by collecting and analyzing real user feedback from Reddit, X (Twitter), GitHub, YouTube, and LinkedIn.

Prerequisites

Install the CLI and authenticate:

curl -fsSL https://requesthunt.com/cli | sh
requesthunt auth login

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, use a manual API key instead:

requesthunt config set-key rh_live_your_key

Get your key from: https://requesthunt.com/dashboard

Output Modes

Default output is TOON (Token-Oriented Object Notation) — structured and token-efficient. Use --json for raw JSON or --human for table/key-value display.

Platform Selection Guide

Each platform captures different types of user feedback. Choose platforms based on the product category to maximize signal quality.

Platform Strengths

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)
Reddit Developer tools, creator economy, niche communities Deep technical discussions, long-tail needs High for dev topics (up to 176)
LinkedIn 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

Recommended Platforms by Category

Category Primary Secondary Notes
Automotive / Hardware YouTube Reddit Video review comments are the richest source (dashcams: 29, EVs: 19)
Gaming / Entertainment YouTube Reddit Game streams and reviews generate natural feedback
Travel / Transportation YouTube LinkedIn Travel vlogs + LinkedIn for business travel needs
Social / Communication YouTube Reddit App review videos + community discussions
Food / Dining YouTube Reddit Recipe and delivery app review comments
Real Estate / Home YouTube X Interior design and renovation videos dominate
Education / Learning YouTube — Tutorial video comments are the only reliable source
Health / Medical LinkedIn X Rare LinkedIn-dominant category (professional healthcare)
Creator Economy Reddit GitHub Reddit communities overwhelmingly active (Newsletter: 176 requests)
Developer Tools Reddit GitHub Technical communities + open-source issue trackers
AI / SaaS Products Reddit LinkedIn Reddit for user complaints, LinkedIn for industry analysis

Quick Selection Rules

  • Consumer / hardware / lifestyle → YouTube first, Reddit second
  • Developer / creator tools → Reddit first, GitHub second
  • B2B / enterprise / medical → LinkedIn first, X second
  • Has open-source projects → add GitHub
  • Everything → add X as a supplementary source

Research Workflow

Step 1: Define Scope

Before collecting data, clarify with the user:

  1. Research Goal: What domain/area to investigate?
  2. Specific Products: Any products/competitors to focus on?
  3. Platform Selection: Use the guide above to pick 2-3 best platforms for the category
  4. Time Range: How recent should the feedback be?
  5. Report Purpose: Product planning / competitive analysis / market research?

Step 2: Collect Data

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

# Broad research — all platforms
requesthunt scrape start "AI coding assistants" --platforms reddit,x,github,youtube,linkedin --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

Step 3: Generate Report

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)
- 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 |
|---------|--------|---------|----------|---|--------|
| Volume | ... | ... | ... | ... | ... |
| Signal type | Technical | UX/Feature | Strategic | Sentiment | Bug/FR |

### 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]...

Commands

Search

requesthunt search "authentication" --limit 20
requesthunt search "oauth" --expand                          # With realtime expansion
requesthunt search "API rate limit" --expand --platforms reddit,x,youtube

List

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

Scrape

requesthunt scrape start "developer-tools" --depth 1         # Default: all platforms
requesthunt scrape start "ai-assistant" --platforms reddit,x,github,youtube,linkedin --depth 2
requesthunt scrape status "job_123"                          # Check job status

Reference

requesthunt topics                                           # List all topics by category
requesthunt usage                                            # View account stats
requesthunt config show                                      # Check auth status

API Info