← Back to home
Comparison · Analytics

Count vs Tinylytics

A side-by-side editorial comparison of Count and Tinylytics — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:mcp

Count vs Tinylytics: at a glance

FeatureCountTinylytics
SectorAnalyticsAnalytics
Velocity score6.35.0
Sparks · 30d10
Top themesagentic-analytics, explainability, data-canvas, pythonweb-analytics, data-quality, seo-audit, mcp
Last editorial update1d ago3h ago
WebsiteVisit →Visit →

What is Count?

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.

Read the full Count trajectory →

What is Tinylytics?

Tinylytics adds account-wide IP ignores and monitoring-only sites

Tinylytics now lets users ignore IP addresses across all their sites at once and switch a site to monitoring only, with new embed options. October brought a simpler embed script, exclusion of cloud-network and Tor traffic, an Ultra-only SEO audit that uses an AI model to rank fixes, and automatic form tracking.

Read the full Tinylytics trajectory →

Count vs Tinylytics: editorial side-by-side

C
Count
ANALYTICS
6.3

Count's agent now shows the chain of cells and assumptions behind every answer it gives.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

T
Tinylytics
ANALYTICS
5.0

Tinylytics adds account-wide IP ignores and monitoring-only sites

◆ Current state

Tinylytics now lets users ignore IP addresses across all their sites at once and switch a site to monitoring only, with new embed options. October brought a simpler embed script, exclusion of cloud-network and Tor traffic, an Ultra-only SEO audit that uses an AI model to rank fixes, and automatic form tracking.

◆ Where it's heading

Most recent releases are about cleaner numbers: bot filtering, network exclusions and now account-level IP rules. The SEO audit and MCP tooling are the only moves outside that, both on the higher plans.

◆ Prediction

More account-level settings that apply across sites are likely, following the IP rules; the entries do not show a new product area coming.

Alternatives to Count and Tinylytics

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 Tinylytics.

See all Count alternatives → · See all Tinylytics alternatives →

Recent activity from Count and Tinylytics

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4h agoTinylyticsAccount-wide IP ignore rules, monitoring-only sites and new embed options
  2. 5d agoCountReasoning Chains ⚡
  3. 8d agoTinylyticsA simpler embed script, cleaner stats and archiving that keeps your history
  4. 15d agoTinylyticsAn SEO audit with a ranked fix list, page names, and imports that keep their dates
  5. 19d agoCountLonger agent conversations
  6. 20d agoTinylyticsAutomatic form tracking, a Direct row in Referrers, and more countries in email reports
  7. 29d agoTinylyticsStat cards, new widget looks, Developer mode, and achievements
  8. 1mo agoTinylyticsCleaner stats: Singapore bot traffic is now filtered out
  9. 1mo agoCountNo gaps while catalog views refresh
  10. 2mo agoCountSSO sign-in banner and clearer SQL Server errors
  11. 2mo agoCountA faster start from an empty canvas
  12. 2mo agoCountNew sign-in and sign-up

Frequently asked questions

What is the difference between Count and Tinylytics?

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.

Is Count better than Tinylytics?

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.

What are the best alternatives to Count?

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.

What are the best alternatives to Tinylytics?

Top Tinylytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Tinylytics alternatives" section above for the current picks, or visit /alternatives/tinylytics for the full list with editorial commentary on each.