Tinylytics
Tinylytics adds account-wide IP ignores and monitoring-only sites
A side-by-side editorial comparison of Count and Microsoft Clarity — release velocity, themes, recent moves, and the top alternatives to consider.
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
Clarity turns its AI-traffic work toward agents on sites, with a 5.2M-session study.
Microsoft Clarity's product releases sit almost entirely on AI visibility: citation topics, branded vs non-branded query splits, scrape-to-referral attribution, custom brand terms and page-type classification in Bot Activity. October has brought no product release so far, only two blog posts: a study of AI-powered visits across 5.2 million sessions, and an account of cutting clarity.js by 4.5% with an automated AI experiment loop.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
Count is making the agent the main way to work in the canvas, then adding the checks that let people trust its output. Reasoning Chains and server-side Python with managed secrets point at analysis that can be audited and run on real data. Steady fix lists for agent edits show the agent is still being hardened.
Expect more ways to inspect and correct agent work, building on Reasoning Chains. The entries don't show whether chains will extend to Slack answers.
Microsoft Clarity's product releases sit almost entirely on AI visibility: citation topics, branded vs non-branded query splits, scrape-to-referral attribution, custom brand terms and page-type classification in Bot Activity. October has brought no product release so far, only two blog posts: a study of AI-powered visits across 5.2 million sessions, and an account of cutting clarity.js by 4.5% with an automated AI experiment loop.
Each release adds another filter or segmentation layer to the same AI-visibility surface, moving it from raw counts toward per-page and per-brand reporting. The agent study extends the subject from AI crawlers and citations to agents acting on sites, including searches, forms and checkout. The MCP server posts suggest Clarity also wants this data queried by agents, not just read in dashboards.
Expect agent sessions to appear as their own segment in Clarity reporting, following the path from crawler data to scrape-to-referral. The entries don't confirm such a feature or show whether Clarity will charge for any of this.
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 Count or Microsoft Clarity.
Tinylytics adds account-wide IP ignores and monitoring-only sites
DebugBear is growing from performance testing into uptime, browser support and ad-impact data.
OpenReplay lets self-hosters block the hosts a recorded session can make its asset cacher fetch.
OpenHouse records why table maintenance fails and adds timezone-aware retention.
OpenCTI accepts Filigran licenses and closes a draft-access hole in its TAXII routes.
InfluxDB keeps patching its 3.11 and 3.12 lines, now with a catalog repair tool.
See all Count alternatives → · See all Microsoft Clarity alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — mcp — within Analytics. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 5.0), 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 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.
Top Microsoft Clarity alternatives in Analytics are ranked by recent ship velocity. Browse the "Microsoft Clarity alternatives" section above for the current picks, or visit /alternatives/microsoft-clarity for the full list with editorial commentary on each.