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reddit-find

GTM research from Reddit - buyer language, pain points, and content angles. No API key.

Open source · MIT · Production-tested inside LeadGrow's live pipeline

Quick install

$ pip install reddit-find

View on GitHub →Want a custom version?

What you unlock

A Python CLI that discovers relevant subreddits, fetches high-signal threads and comments, and outputs structured markdown for AI analysis. Two-pass workflow: scan titles fast to find signal, then deep-dive specific posts for full comment threads. Built-in recency filtering, pre-built subreddit clusters for 16 common GTM research topics, and zero API cost. Feed the output to Claude, ChatGPT, or any AI to extract pain points, buyer language, competitor sentiment, and content angles.

OutcomeBuilt at LeadGrow, used in live pipelines, shipped open source so you don't have to build it yourself.

How it works

See it in action

2 things you can do right now.

No UI. No clicking. Just commands that execute.

Titles scan for fast signal

$ reddit-find titles

--topic "b2b-saas"

--max-age-days 30

--min-score 50

✓ 142 posts scanned in 5s → 23 high-signal titles surfaced

Outcome23 buyer conversations found in 5 seconds. No account. No API key.

Deep-dive a high-signal post

$ reddit-find post

https://reddit.com/r/sales/comments/xyz

--include-comments

✓ 89 comments extracted → Saved → post-analysis.md

OutcomeFull comment thread in structured markdown. Feed directly to Claude for pain point extraction.

What's included

Every capability, ready to script.

Two-pass workflow: titles scan (5s) then deep-dive selected posts

Pre-built subreddit clusters for 16 GTM research topics

Recency filtering (--max-age-days) keeps intel fresh

Zero API keys required - Reddit JSON API is free

Structured markdown output any AI can parse directly

Optional SerperDev integration for enhanced subreddit discovery

The workflow

End to end. Zero manual steps.

How LeadGrow surfaces buyer language before writing a single email.

01

Define ICP and find subreddits.

Describe your ICP and let reddit-find suggest the highest-signal subreddits. Pre-built clusters cover 16 common GTM research topics — most ICPs are already mapped.

$ reddit-find topics

--icp "sales directors at B2B SaaS" --suggest

02

Scan titles fast.

Titles scan is the two-pass workflow's first pass: surface hundreds of posts in seconds, read only the titles, and flag the ones worth diving into.

$ reddit-find titles --subreddits r/sales,r/salesforce

--max-age-days 14 --min-score 75

03

Deep-dive selected posts.

Pull the full comment thread on your highest-signal posts. Structured markdown output — no parsing required.

$ reddit-find post <url> --include-comments

--output intel/post-$(date +%F).md

04

Extract pain points with AI.

Feed the markdown to Claude. Get buyer language, pain rankings, objections, and competitor sentiment. Ready to write cold emails in under 10 minutes.

$ cat intel/post-$(date +%F).md

| claude "extract top 5 pain points and buyer language"

Real scenarios

What teams actually use it for.

Not theoretical. These are the pipelines running at LeadGrow and client stacks today.

01Mining cold email hooks from real buyer language on Reddit

02ICP pain point discovery for new markets or verticals

03Competitor intelligence from unfiltered user discussions

04Content angle discovery with proven engagement signals

05Offer validation before building - check if the market wants it

06Voice of customer extraction for landing pages and sales decks

Included skills

Pre-built automations. Ready to run.

These aren't demos. They're the Claude Code skills we run inside LeadGrow, shipped open source so you don't have to build them yourself.

icp-pain-miner

ICP Pain Miner

Scans target subreddits for ICP discussions. Runs a titles pass to surface high-signal posts. Deep-dives the top 5. Returns structured pain points ranked by frequency.

Triggers: "find pain points for [ICP]" or before new campaign brief

hook-extractor

Hook Extractor

Reads Reddit comment threads and extracts verbatim phrases with buying-signal language. Returns ranked cold email hook candidates with the source post for credibility.

Triggers: After icp-pain-miner surfaces high-signal posts

competitor-sentiment-scanner

Competitor Sentiment Scanner

Searches for competitor mentions across ICP subreddits. Surfaces complaints, switching conversations, and common frustrations. Feeds directly into positioning.

Triggers: "what do people say about [competitor]"

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Custom build

Want us to build yours?

Custom CLIs, MCP servers, and Claude Code skills wired to your exact GTM stack.

We build these for clients. Then we ship them open.

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