Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.
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.
scrape_reddit_leads(precision first)scrape_reddit(expand recall second)
Default Workflow
Step 1: Precision pass with scrape_reddit_leads
Start with focused keyword + subreddit pairs:
searches: list of{ "keyword": "...", "subreddit": "..." }hours_back: set a clear recency windowsearch_posts=truesearch_comments=trueonly when comment evidence is neededsort="new"for monitoring orsort="top"for stable discussionsnegative_keywordsto suppress spam/noise
Use 1-3 specific keywords first. Avoid broad single words.
Step 2: Expand with scrape_reddit
If precision results are too narrow:
- run
scrape_redditwith subredditstart_urls - add adjacent keyword variants in
searches - tune
sortandtimefor recency vs quality - keep
skip_comments=truewhen 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.

