Product data for AI agents: 15 daily-updated databases behind one MCP server

Updated daily, last 2026-11-12

Stringers answers one question every day: what small product can one or two people build in a few months and actually make money from. The articles on this site are our finished verdicts; this page is about what sits behind them — 15 databases we collect ourselves every day, and a remote MCP server that connects them to your own agent (server name stringer; tools today / hot / products / directions / direction / data).

What you can do with it

• Product research with Claude Code or Cursor
  Not sure what to build: let your own agent query real revenue, charts and each day's breakouts, then advise based on your skills and time.
• Validate a product idea: is anyone making money from it
  Got an idea? Check the comparables first: who published real revenue, what profit sellers report, and how many users similar extensions and apps have.
• Find where competitors advertise
  Which of Meta, Google and TikTok your competitors buy ads on, how many they run, where they land, and whether they are scaling up or down.
• Find apps and open-source projects that are rising now
  No guesswork: who just entered a grossing chart, whose installs jumped, whose stars surged, who won launch day — all daily data.
• You built it — how to get the first users
  Search cases by tactic rather than by category: 3,000+ rising products, each with a write-up of the exact channels and moves that got it users.

The 15 databases

• Verified indie product revenue
  Payment-verified revenue (Stripe, RevenueCat and others) for about 12,000 indie products, daily and monthly, filterable by category, keyword and revenue tier.
• Small online businesses for sale
  Listings on Acquire and Flippa: asking price, trailing-12-month revenue and profit, category, and whether they sold.
• App Store charts in 115 regions
  Top Free, Top Paid and Top Grossing (top 200) for 115 storefronts and 46 categories, snapshotted daily, plus rating counts, reviews and new releases.
• Google Play installs and charts
  Charts for 30 Google Play stores; every charted app gets its exact global install count, rating and ranks recorded daily.
• Mac App Store charts
  Top Free and Top Paid for 20 Mac App Store regions, with price, developer size and whether an iOS version exists.
• Chrome Web Store extensions
  Chrome Web Store extensions: user counts, ratings, first-published dates, and whether there are signs of monetisation (in-app purchase flag, paid wording, pricing page).
• Shopify App Store
  About 30,000 Shopify apps: pricing plans, ratings, review counts and review velocity, and how many apps each developer has.
• GitHub daily star history
  About 850,000 repositories with 50+ stars, with star counts recorded daily: 1-day, 7-day and 30-day gains, and whether a repo just emerged.
• Product Hunt launches
  Every Product Hunt launch since 2013: votes, rank, comments, topics and makers, plus hour-by-hour vote curves for recent launch days.
• Hacker News stories
  Hacker News stories since 2024: points, comments, hours on the front page and best rank, with Show HN filterable.
• Meta Ad Library tracker
  Who is paying for Facebook / Instagram ads: about 60 keywords across countries, recording how many ads each advertiser runs, where they land, and daily change.
• Google Ads Transparency tracker
  Whether the products on our watchlist buy Google ads (Search, YouTube, Display, Play): creative counts, countries, and the apps they land on.
• TikTok ad library tracker
  Who is buying TikTok ads: how many ads each advertiser runs, when they started, which apps they land on, and which are run through creator accounts.
• Daily breakout list
  Computed daily across 7 databases: which products were unremarkable yesterday and crossed a line today (first time on a grossing chart, rating velocity spike, install jump, star surge…).
• Posts from five X circles
  Original posts from core members of five X circles (AI founders, AI indie developers, AI researchers, Silicon Valley VCs, US stock investors), searchable by circle, keyword or person, plus live X search.

How this differs from searching or scraping yourself

• History: ranks, installs, stars and active ad counts are recorded daily, so you can see when growth started; a live search only shows now.
• Cross-referenced: the same product is matched across revenue, stores and ad libraries, so you can ask for "advertising, installs rising, and a small team".
• Stated limits: each database says what it cannot prove (no revenue from the App Store, no spend from ad libraries), and the agent cites source and date with every number.

Setup and source are in the open-source repo; collection scope per database is in About the data.