Feedly vs Cube
Side-by-side trajectory, velocity, and editorial themes.
Feedly is steadily rebuilding itself as an AI threat-intelligence platform, with enrichment and agents leading every release.
Feedly's shipping cadence is dominated by two tracks. The threat intelligence side keeps deepening: sharper cyberattack clustering, GreyNoise and VirusTotal IoC enrichment, Apple security coverage, an Analyst1 integration, and an AI-powered Cyberattack Agent that handles novel-technique detection. The market intelligence side is being reshaped around Ask AI and embedded RAG, with broader source selection (AI Feeds, Boards, team feeds) and vertical filters like Maritime.
Feedly is no longer presenting itself as an RSS-era aggregator; it's positioning as a domain-tuned intelligence platform whose primary verbs are 'analyze' and 'enrich', not 'read'. The arc points toward more enrichment partnerships (GreyNoise, VirusTotal, Analyst1 are the start), broader AI agent coverage of analyst workflows, and deeper vertical specialization. Distribution improvements (Teams, Slack, custom summaries, translation) suggest a deliberate push to deliver intelligence into where analysts already live.
Expect more named third-party integrations on the intel side (TIP and SOAR connectors), an expansion of the Cyberattack Agent into adjacent agent types (vulnerability triage, brand monitoring), and continued vertical filters beyond Maritime. A pricing or packaging move around AI usage is increasingly likely as the AI surface keeps growing.
Cube ships Creator Mode and a Slack agent — embedded BI and agent surfaces in the same month.
Cube is shipping weekly across three coherent fronts: AI agent surfaces (Slack Agent for ad-hoc questions, Analytics Chat under the hood), embedded analytics (Creator Mode lets customers embed the full Cube app, not just dashboards), and the semantic-layer fundamentals (calculated fields in Explore/Workbook, workbook versions, custom chart palettes, refined filtering). Earlier in the period, data masking, the Viewer role, and scheduled-screenshot notifications rounded out the governance and distribution story.
Two compounding bets: (1) the semantic layer + AI agent combination is the moat — every release deepens what an agent or human can do over governed data without writing SQL, and (2) embedding goes from "put a dashboard in your app" to "give your users a full BI app inside your product." These are complementary — Creator Mode is more compelling when the embedded experience can also answer questions in Slack and self-heal queries with calculated fields.
Expect Creator Mode to grow more embedding controls (white-labeling, role mapping, audit) since it's positioned for ISVs serving downstream customers. The Slack Agent likely gets siblings (Teams, in-app chat) and tighter wiring to dashboards so an agent can produce a chart, save it, and share it back. Calculated Fields expansion (filtered measures, more types) is already telegraphed in the release notes.
See more alternatives to Feedly →
See more alternatives to Cube →