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Comparison · Analytics
Feedly vs Count
A side-by-side editorial comparison of Feedly and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Feedly vs Count: at a glance
| Feature | Feedly | Count |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | threat-intelligence, vulnerability-coverage, ai-agents, security-enrichment | agentic-analytics, mcp, public-api, warehouse-connectors |
| Last editorial update | 6d ago | 3d ago |
| Website | — | Visit → |
What is Feedly?
Feedly compounds its threat-intel edge with steadier coverage and a thickening AI agent layer
Feedly Threat Intelligence ships on a roughly two-week cadence, deepening raw vulnerability coverage (now Oracle, Atlassian, and Apple advisories plus exploit-type tracking) and enrichment (GreyNoise, VirusTotal, Analyst1). On top of that base it keeps extending AI models — sharper cyberattack clustering, smarter insider-threat detection, and an expanding Cyberattack Agent.
What is Count?
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.
Feedly vs Count: editorial side-by-side
Feedly
5.0ANALYTICS
Feedly compounds its threat-intel edge with steadier coverage and a thickening AI agent layer
◆ Current state
Feedly Threat Intelligence ships on a roughly two-week cadence, deepening raw vulnerability coverage (now Oracle, Atlassian, and Apple advisories plus exploit-type tracking) and enrichment (GreyNoise, VirusTotal, Analyst1). On top of that base it keeps extending AI models — sharper cyberattack clustering, smarter insider-threat detection, and an expanding Cyberattack Agent.
◆ Where it's heading
The pattern is a widening data-and-integration base with an AI analysis layer built over it. Feedly is positioning the product as both a comprehensive intel source and an AI workspace that clusters attacks, extracts IoCs, and answers analyst questions, with delivery into Slack and Teams.
◆ Prediction
Expect continued biweekly coverage expansion plus more AI-agent analysis features and third-party enrichment integrations, rather than any single directional pivot.
Count
6.3ANALYTICS
Count is turning its BI canvas into a governed, agent-operated analytics platform.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.
Alternatives to Feedly and Count
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 Feedly or Count.
Usermaven
Usermaven consolidates its scattered analyses into one Analytics Hub workspace
Zoho Analytics
A mature BI platform positioning itself as the data-and-semantic foundation for AI agents across the Zoho suite.
Holistics
Holistics leans into analytics-as-code with agentic dev workflows and a Power BI migration path
Axiom
Axiom completes the logs-traces-metrics triad and bets the product on AI engineering.
NocoDB
NocoDB keeps converging the database, the document, and the project plan into one workspace.
See all Feedly alternatives → · See all Count alternatives →
Recent activity from Feedly and Count
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7d agoCountConnect external MCP servers to the Count agent ⚡
- 9d agoFeedlyTrack exploit types, Oracle and Atlassian advisories, and more
- 21d agoCountDashed lines
- 23d agoFeedlySmarter insider threat detection, broader search coverage, and more
- 1mo agoCountNew workspace home
- 1mo agoFeedlyLeverage sharper cyberattack clustering, GreyNoise & VirusTotal enrichment, Apple security updates, and Analyst1 integration
- 1mo agoCountClickHouse support
- 1mo agoFeedlyAnalyze cyberattacks with AI, explore our new TI page, and more
- 1mo agoFeedlyAnalyze cyberattacks with AI, explore our new TI page, and more
- 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 2mo agoFeedlyNavigate faster with Go To, tailor your alerts with custom summaries, and translate newsletters in one click
- 2mo agoCountPublic API and MCP server ⚡
Frequently asked questions
What is the difference between Feedly and Count?
They serve adjacent needs but don't currently overlap on shipped themes. 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 Feedly better than Count?
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 Feedly?
Top Feedly alternatives in Analytics are ranked by recent ship velocity. Browse the "Feedly alternatives" section above for the current picks, or visit /alternatives/feedly for the full list with editorial commentary on each.
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.