Appfigures vs MotherDuck
Side-by-side trajectory, velocity, and editorial themes.
Appfigures turns its estimate engine into market-ranking and competitor-intel products.
Appfigures has evolved from app analytics into market intelligence. Its download and revenue estimates now span iPhone and iPad and feed two larger products: a 15-report App Intelligence suite for sizing up any competitor, and new Leaderboards that rank apps and games across both stores by 14 metrics like revenue, downloads, and discovery.
The direction is clear — Appfigures is monetizing its estimate dataset by building higher-order products on top of it, with the richest features (historical Leaderboard data, per-app values) gated to Enterprise. Data completeness (iPad, by-state financials, faster Google Play) and a cleaner reporting UI round out the work.
Expect Leaderboards to deepen toward Enterprise upsell — more historical depth, per-app drill-downs, and category slices — following the same gate-the-good-stuff playbook used for App Intelligence.
MotherDuck climbs from serverless DuckDB warehouse to an agent-operable data platform
MotherDuck ships a dense, real release stream on two fronts: tracking DuckDB core (1.5.x, DuckLake, concurrent checkpoints) and building an agent-and-embed layer on top (Dives data apps, an MCP server, the MCP Dive Viewer now in ChatGPT and Claude Cowork). The latest notes add server-side Iceberg interop and a new pipelines product, Flights.
The product is moving up the stack from query engine toward a full data platform: pipelines (Flights), interactive apps (Dives, now GA), open-table-format interop (Iceberg, DuckLake), and broad connectivity via the Postgres endpoint (Looker, Retool, Drizzle, dbt Cloud, DBeaver). MCP-native access recurs throughout, treating AI agents as first-class users of the warehouse.
Expect Flights and Iceberg attach to graduate from Preview to GA, more Postgres-endpoint BI and tool integrations, and continued MCP/agent surface. This is grounded in the visible pattern of previews maturing and steady Postgres-endpoint and MCP investment.
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