/requesthunt

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.

RequestHunt Skill

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

Prerequisites

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](https://github.com/ReScienceLab/requesthunt-cli/releases) and verifies its SHA256 checksum before installation. Alternatively, build from source with `cargo install --path cli` from the [requesthunt-cli](https://github.com/ReScienceLab/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.

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 | | **Amazon** | Consumer products, electronics, home goods | Product review complaints and feature wishes | High for physical products |

Recommended Platforms by Category

| 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 | Reddit | 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** | LinkedIn | Amazon, X | Professional healthcare + Amazon health product reviews | | **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 | | **Consumer Electronics** | Amazon | YouTube, Reddit | Amazon product reviews are the primary signal source |

Quick Selection Rules

• **Consumer / hardware / lifestyle** → Amazon + YouTube first, Reddit second
• **Developer / creator tools** → Reddit first, GitHub second
• **B2B / enterprise / medical** → LinkedIn first, X second
• **Physical products / electronics** → Amazon first, YouTube 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

# 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