Inspiration: We wanted to uncover the hidden Reddit communities where high-value discussions about serverless and AWS Lambda actually happen, rather than just the well-known forums.
What it does: It searches r/all for your keywords, counts mentions per subreddit, gathers subscriber and engagement metrics, and saves the full post content.
How we built it: We used Python with PRAW for OAuth-protected Reddit searches, defaultdict for counting, structured logging, and JSON/text output helpers to persist data.
Challenges we ran into: We navigated OAuth errors (including 2FA), tuned rate-limit pauses to avoid 429s, and gracefully handled private or banned subreddit metadata failures.
Accomplishments we’re proud of: We built an end-to-end pipeline that surfaces niche but highly engaged subreddits in minutes and stores both quantitative metrics and raw post content.
What we learned: Robust API clients need careful OAuth handling, rate-limit respect, and modular design to separate scraping, ranking, and I/O for maintainable, reusable analysis.
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