Hex
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
A side-by-side editorial comparison of RevenueCat and Count — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | RevenueCat | Count |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | mobile-monetization, subscriptions, paywalls, ad-revenue | agentic-analytics, mcp, public-api, warehouse-connectors |
| Last editorial update | 1mo ago | 11d ago |
| Website | — | Visit → |
Stretching from subscription infrastructure into hybrid subs+ads revenue tracking, with paywalls getting smarter.
RevenueCat is broadening from subscription-only to subscription-plus-ads with in-app ad revenue tracking now in public beta — apps using AdMob or AppLovin can send ad events through the SDK and see ad and sub revenue side by side. Paywalls have gained meaningful logic depth (Paywall Rules to show/hide components by intro-offer eligibility or custom variables) and the iOS/Android fallback paywall now auto-styles using the app icon's dominant color. Operational tooling has caught up: archived offerings/products/entitlements, OAuth token visibility and revocation, predicted-LTV winners in Experiments.
Count is turning its BI canvas into a governed, agent-operated analytics platform.
Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.
RevenueCat is broadening from subscription-only to subscription-plus-ads with in-app ad revenue tracking now in public beta — apps using AdMob or AppLovin can send ad events through the SDK and see ad and sub revenue side by side. Paywalls have gained meaningful logic depth (Paywall Rules to show/hide components by intro-offer eligibility or custom variables) and the iOS/Android fallback paywall now auto-styles using the app icon's dominant color. Operational tooling has caught up: archived offerings/products/entitlements, OAuth token visibility and revocation, predicted-LTV winners in Experiments.
The product is moving from 'subscription billing infra' to 'mobile monetization platform.' Ad revenue tracking is the headline because it changes who RevenueCat is for — every freemium app with mixed monetization, not just sub-driven apps. Paywall Rules suggest the company is going deeper on the merchandising layer rather than ceding it to MMP-adjacent tools. The Experiments-side LTV predictions and locale-aware paywalls signal continued investment in the optimization story.
Expect the in-app ad revenue beta to GA with deeper SDK support for more ad networks, more sophisticated Paywall Rules conditions (likely user-segment and behavioral triggers), and tighter Experiments + ad-revenue correlation as customers compare hybrid monetization mixes.
Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.
Count is building toward analytics where agents are first-class operators: a governed API/MCP layer for access, an agent that drives the canvas end to end, external tool reach via MCP, and connection-level context so guidance is captured once and inherited. Governance—permissions, scopes, service accounts—is the enabling layer that makes agent access acceptable in real data stacks rather than a bolt-on.
Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either RevenueCat or Count.
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
Fulcrum is in steady maintenance mode, polishing its field-mapping and mobile data-capture core.
Lightdash keeps sanding down the edges of self-serve BI, chart by chart.
Apify is rebuilding the Actor platform as MCP-first agent infrastructure.
Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal
Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes
See all RevenueCat alternatives → · See all Count alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top RevenueCat alternatives in Analytics are ranked by recent ship velocity. Browse the "RevenueCat alternatives" section above for the current picks, or visit /alternatives/revenuecat for the full list with editorial commentary on each.
Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.