Product Demand Research
SkillWeb & browsingLets your agent research Reddit and social posts to validate a product idea and find customer pain points.
Then ask your AI: use the Product Demand Research skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.
About this skill
Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.
What this skill tells your AI
The instructions your AI receives, as published by scrapecreators/social-media-research-skills in skills/product-demand-research/SKILL.md and read by Ahel’s review.
Overview
Use public social data to understand whether people actually complain about, ask for, buy, hack around, or recommend solutions in a product category. The output should help founders and marketers decide what to build, position, or test.
When to Use
Use this skill when the user asks to:
- validate a startup or product idea
- find pain points in a niche
- mine Reddit/TikTok/YouTube comments for product ideas
- find buyer language and objections
- understand alternatives people use today
- create messaging from demand evidence
Signals to Extract
- repeated complaints
- "I wish" / "is there a tool" / "how do I" phrases
- workarounds and spreadsheets/manual processes
- comparison and alternative mentions
- buying intent
- objections to existing solutions
- exact words people use for the problem
Workflow
- Turn the idea into search queries and synonyms.
- Search Reddit and relevant social platforms.
- Pull comments/transcripts for promising posts/videos.
- Cluster pains, triggers, alternatives, and desired outcomes.
- Score demand by frequency, intensity, recency, and willingness-to-pay hints.
- Produce messaging and product implications.
Output Format
# Product Demand Research: {idea/category}
## Verdict
- Demand signal: Strong/Medium/Weak
- Confidence: High/Medium/Low
- Why:
## Pain Points
| Pain | Evidence | Exact language | Source |
|---|---|---|---|
## Existing Alternatives / Workarounds
- ...
## Objections and Barriers
- ...
## Messaging Angles
- "..."
## Product Ideas / Tests
1. ...
2. ...
Common Pitfalls
- Do not claim market validation from a handful of comments.
- Do not ignore negative evidence or existing alternatives.
- Do not paraphrase away the best customer language.
Signals
- GitHub stars
- 3k
- Forks
- 48
- Last commit
- Aug 2026
Advanced
- Item type
- skill
- Key
product-demand-research-scrapecreators- Source
- github.com/scrapecreators/social-media-research-skills