5 items
Turn Reddit threads into research briefs: pain points, unanswered questions, content angles. Turn any Reddit thread into a research brief. One click, five sections, your own API key. What it does Click the Research Brief button on any Reddit thread. Your chosen LLM extracts, curates, and writes a five-section brief: § Key Pain Points: problems users express, surfaced as writable content topics § Unanswered Questions: knowledge gaps where the thread's answers fell short § Content Angles: alternative framings you could write as articles or videos § Interesting Comments: five comments curated for experience, expertise, contrarian takes, or buried insight § Trend Signals: shifts in sentiment, emerging language, new questions surfacing Copy the brief as markdown and paste into Obsidian, Notion, or any content doc. The structure travels with it. Built for • Marketing professionals researching audience pain points • Technical writers identifying knowledge gaps • Product managers gathering user feedback • Freelance writers researching article angles • SEO professionals finding content opportunities Privacy and cost The extension runs entirely in your browser. You bring your own API key from Anthropic, Google, or OpenAI. Your key lives in chrome.storage.local, readable only to this extension, and talks only to the LLM provider you chose. The extension is free. You pay your provider directly for model usage, typically a few cents per brief. There is no backend, no analytics, no account. Your research stays on your machine. Supported models • Anthropic Claude Sonnet 4.6 (default) • Google Gemini 2.5 Flash • OpenAI GPT-4o Swap between providers from the settings panel. Works on old and new Reddit Both old.reddit.com and new Reddit are supported, with separate extractors and fallback selectors so each keeps working when the other's layout shifts. Large threads get pre-filtered client-side (deleted, low-effort, and spam comments dropped) and fit to a token budget so briefs stay fast and cheap. Links • Learn more: https://bjblayney.github.io/reddit-research/ • Privacy policy: https://bjblayney.github.io/reddit-research/privacy/
Apr 23, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.