/reddit

name: reddit
description: Research Reddit discussions with high signal using reddit_leads_scrape and reddit_scrape — pain points, intent discovery, and trend tracking. Use when the user wants to mine subreddits for leads, find threads worth replying to, or track what a community says about a topic.
use_cases:
  - Find customer pain points from Reddit conversations
  - Monitor keyword mentions in specific subreddits
  - Discover high-intent discussions for outreach
  - Compare themes across Reddit communities
  - Build a Reddit-based insight summary with sources
triggers:
  - reddit research
  - reddit leads
  - scrape reddit
  - subreddit research
  - reddit pain points
  - reddit mentions
requires_toolkits:
  - reddit_scraper
suggested_toolkits: []
icon: reddit
short_description: Research subreddits, threads, and sentiment to mine questions and voice-of-customer.

Reddit Research

Use these tools in this order for research quality:

Requirements

• **Hyper MCP installed and connected.** [https://app.hyperfx.ai/mcp](https://app.hyperfx.ai/mcp)
• **Reddit scraper toolkit** enabled at [https://app.hyperfx.ai/apps](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 | | --- | --- | --- | | Hyper chat | Call the tool by its name; `search_tools(queries=["<provider> <action>"])` shows its parameters | `<name>(...)` | | MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call_read("<name>", {...})`, `call_write` or `call_destructive`: the one that `describe` names in `call_with` | | Hyper CLI | `hyperai search "<what you want to do>"`, then `hyperai describe <name>` | `hyperai call <name> --json '{...}'` |

If a tool is not found: in Hyper chat, find its toolkit id with `discover_toolkits` and pass it to `enable_toolkit`. On an MCP client or the CLI, tell the user which integration to connect in Hyper.

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.