Chrome Goldmine is a database of Chrome extension rebuild ideas for indie developers. The core idea is: from extensions that once had real install counts but later stopped being maintained or were delisted for various reasons, find needs that have already been validated by the market, then rebuild and monetize based on them.
Purpose
- Help indie developers and solo developers find Chrome extension project directions backed by historical user data.
- Package "topic selection—competitor assessment—rebuild difficulty evaluation—monetization reference" into a research system, reducing the time needed to validate demand from scratch.
Main capabilities
- Database scale: includes 9,656 defunct extensions. Each entry covers historical user numbers, category, rebuild difficulty (low / medium / high), reason for failure, currently active competitors and their strengths and weaknesses, and the original extension's key selling points (extracted from its description and user reviews).
- Revenue reference: for each extension, provides a conservative monthly revenue range estimated based on category benchmarks (typical conversion rates and pricing in that niche). For example, an example entry for a low-difficulty Productivity extension is labeled as a $400–$1,200 per month range. The official description explicitly states that this is a conservative range based on category benchmarks, not the extension's original revenue, and not a revenue promise; entries that cannot support a reasonable range are marked directly.
- Competitor analysis: identifies alternatives still active on the Chrome Web Store and points out their strengths and weaknesses, helping judge differentiation space.
- Delivery format: interactive Notion workspace (supports filtering, sorting, and searching by revenue potential, rebuild difficulty, user base, and niche) + complete CSV export, which can be imported into Airtable, Excel, or your own tools.
- Additional content: quick-start guide (a step-by-step manual from database to launch, covering MV3 migration, tech stack selection, monetization strategies, and launch tactics such as Product Hunt, Hacker News, and vertical communities); 2026 edition in-depth research report, covering high-potential opportunities, market trends, and niches suitable for solo developers.
- Difficulty tiers: includes rebuild difficulty ratings, and many "low" difficulty entries can be completed with no-code tools or AI coding assistants. The guide also covers both technical and no-code paths.
- Updates: updated quarterly, adding newly defunct extensions and refreshing competitor data. After a one-time payment, you automatically receive all future updates.
How to use
- The public page displays 20 rows of live samples, includes the same filters as in Notion, and provides one complete 12-item report for free; the remaining 9,636 items are unlocked after purchase.
- After purchase, instant download via Gumroad, with no waiting or review, giving you immediate access to the complete database.
- Price: original price $29, with a 20% discount to $23.20 for the first 100 buyers; one-time payment, no subscription.
- Guarantee: 30-day no-questions-asked full refund; simply request by email within 30 days of purchase. Checkout supports major credit cards and PayPal.
Use cases
- Indie developers who want to find a data-backed, independently completable Chrome extension project in a relatively short cycle and quickly launch and monetize it.
- No-code or AI-assisted developers who want to filter projects by revenue potential or skill level (low / medium / high difficulty) and need ready-made launch tactics.
Limitations and notes
- The revenue figures are conservative ranges based on category benchmarks. The official description explicitly states that they are not the original extension's actual revenue and not a promise; only historical user numbers are hard data.
- The extension names in the public samples are representative synthetic names, while the complete paid dataset uses the real 9,656 entries.
- The official description does not provide further details about database accuracy, update history, or team background.