Reddit Research

Use these tools in this order for research quality:

Requirements

• Hyper MCP installed and connected. https://app.hyperfx.ai/mcp
• Reddit scraper toolkit enabled at https://app.hyperfx.ai/apps.

1. reddit_leads_scrape (precision first)
2. reddit_scrape (expand recall second)

How to run the tools in this skill

Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:

Surface	Find a tool	Run it
MCP client (Claude, Cursor, Codex, ChatGPT)	search("<what you want to do>"), then describe("<name>")	call("<name>", {...})
Hyper CLI	hyperai search "<what you want to do>", then hyperai describe <name>	hyperai call <name> --json '{...}'

If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect.

Default Workflow

Step 1: Precision pass with reddit_leads_scrape

Start with focused keyword + subreddit pairs:

• searches: list of { "keyword": "...", "subreddit": "..." }
• hours_back: set a clear recency window
• search_posts=true
• search_comments=true only when comment evidence is needed
• sort="new" for monitoring or sort="top" for stable discussions
• negative_keywords to suppress spam/noise

Use 1-3 specific keywords first. Avoid broad single words.

Step 2: Expand with reddit_scrape

If precision results are too narrow:

• run reddit_scrape with subreddit start_urls
• add adjacent keyword variants in searches
• tune sort and time for recency vs quality
• keep skip_comments=true when only post-level signal is needed

Query Quality Rules

• Prefer scoped subreddits before global search.
• Include negative filters (e.g. onlyfans, porn, nsfw, promo, buy now) when results are noisy.
• Increase specificity before increasing max_items.
• If results are sparse, widen subreddits and add semantically related keywords.

Output Requirements

Return:

• top findings with short rationale
• source URLs
• subreddit distribution
• repeated themes/pain points
• recommended follow-up keywords

Do not return unfiltered dumps. Prioritize relevance and evidence.