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Turn Reddit complaints into profitable Micro-SaaS ideas using AI. Scans discussions to find high-value problems. Stop guessing what to build. Start solving real problems. NicheMiner is the ultimate market research tool for Indie Hackers, Developers, and Solopreneurs. Instead of spending hours reading random threads, let AI do the heavy lifting. NicheMiner scans any Subreddit, identifies users who are complaining about specific problems, and uses OpenAI to convert those complaints into high-value Micro-SaaS opportunities. Why use NicheMiner? Finding a profitable niche is hard. NicheMiner makes it easy by focusing on "Bleeding Neck" pain points—specific instances where users are losing money, wasting time, or looking for alternatives to expensive software. 🔥 Key Features: AI-Powered Mining: Uses your own OpenAI API Key (GPT-4o-mini) to analyze raw text and extract actionable insights. Pain Scoring: Automatically categorizes problems by "High Pain" (Money Loss) or "Medium Pain" (Time Loss). Smart Solutions: Doesn't just find the problem; suggests specific product concepts (e.g., "Shopify Inventory Plugin") and estimated pricing. Evidence-Based: Every idea includes a direct link to the original Reddit post so you can validate the demand yourself. Idea Vault: Save your favorite opportunities to a local vault and export them to CSV for further analysis. Deep Scan (Pro): Unlock advanced analysis to scan Hot, Top, and New posts simultaneously for maximum coverage. 🔒 Privacy First & BYOK: NicheMiner operates on a "Bring Your Own Key" model. Your Data: Your OpenAI API Key is stored locally on your device via Chrome Storage. Your Privacy: We do not track your searches, collect your data, or act as a middleman. The extension communicates directly between your browser and OpenAI. How to use: Enter your OpenAI API Key in the settings. Navigate to any Subreddit (e.g., r/marketing, r/dropshipping, r/SaaS). Click "Mine This Subreddit." Watch as NicheMiner turns complaints into business ideas in seconds. Version: 1.0 Support: [Iveycept@gmail.com]
Feb 24, 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.