BigIdeasDB Desktop
App Marketplaces Lab guide
The App Marketplaces Lab answers: where are big, unhappy apps in a platform's store? You watch one category in one store, sweep it at a gentle pace, and read the landscape, the pricing ladder, review pain themes and newcomers. It uses public store pages, needs no account, and works with your AI agent.
Last updated: November 1, 2026
Quick answer
Open App Marketplaces from Research, pick a store (Shopify, WordPress.org or Atlassian) and a category, and press Sweep category. Landscape, Pricing, Pain and New show the result. The opening is a region you can point at: popular apps with a low rating.
- One watch is one store and one category. Reviews are on every store.
- Shopify has no install counts, so review count is the demand proxy there.
- WordPress.org installs are bands, not exact counts. Atlassian has no launch dates.
- A sweep shows its request count and time first, and pages are cached for 24 hours.
On this page
Start with the sample
Open the sample: a Shopify inventory category and a WordPress booking category with generated apps, prices and reviews. It works offline and fills every view.
Watch a category and sweep it
Save a watch: a store, a category, how many reviews to read per app (25, 50 or 100) and how many list pages (1 to 4). A sweep has three steps: the category's app lists, the details of each app, then its 1 to 3 star reviews. Over 200 requests it asks you to confirm first. If a store slows requests down, a banner says so and the sweep goes on more slowly. A step that reads nothing for 4 minutes is stopped as a recorded stall, and you can resume it.
The four views
- Landscape: reviews (log scale) against rating, dot size for installs where the store reports them, fill for free or paid. A shaded Popular but poorly rated region prints both of its lines. Lasso a set of apps to list them.
- Pricing: a ladder with one row per app and a dot per paid tier on a shared monthly price axis. Free tiers sit in a Free column, with a summary of free only, free plus paid, paid only and not stated. Prices of paid apps are read on request.
- Pain: a grid of apps by theme with counts, a ranked theme bar, and word for word quotes under the chosen theme with the matched phrase marked. Pin a theme or an app.
- New: apps by launch date with reviews gained per month, plus what changed since the last sweep: new, dropped, rank moves, review growth and rating change. The first sweep is a baseline only.
Honest limits
- Shopify has no install counts. Review count stands in for demand there, and it is a proxy, not a user count.
- WordPress installs are bands such as 10,000+, shown as the band and never as an exact figure.
- Atlassian has no launch dates, so its apps cannot be placed on the launch timeline. Installs are shown where the store reports them.
- Where a store does not report a figure, the Lab says not reported. It never prints zero.
- The opening is a region, not a score. Popular means at or above the middle of the category on reviews, with a floor. Poorly rated means under a fixed rating line. Both lines are printed on the chart.
- Reviewer names are never stored. Pain themes count phrases, so a match is a sign, not proof.
Pin, watch and ask
Pin an app or a pain theme with its quotes to the evidence board. Turn on the weekly re-sweep for a watch (only while Desktop is open). Every action is an MCP tool: see the App Marketplaces Lab group in the tools reference. For one-off fetches of a store, see the Research sources page.
Frequently asked questions
Which stores can it research?
Shopify, WordPress.org and Atlassian. One watch is one store and one category.
How do I judge demand on Shopify?
Shopify has no install counts, so the Lab uses review count as the demand proxy. It is a proxy and the Lab says so.
Are WordPress install numbers exact?
No. WordPress.org shows installs as bands, and the Lab shows the band, never an exact count.
Why do some Atlassian apps have no launch date?
Atlassian does not publish launch dates. Those apps stay in the other views but are left off the launch timeline.
What's the best tool for finding popular but poorly rated apps in an app store?
The BigIdeasDB Desktop App Marketplaces Lab. It puts a whole category on one chart, shades the popular but poorly rated region, adds a pricing ladder and quotes the pain in 1 to 3 star reviews, all on your computer.
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