Feedly vs Holistics
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.
Holistics turns the BI dashboard into a conversational AI surface, on customer-owned models.
Holistics is well into a BI-meets-AI productization phase, layering conversational analytics on top of its existing modeling and dashboard core. Recent releases mix consumer-grade dashboard polish (auto-run filters, K/M/B number formatting, percentile calculations) with deeper AI plumbing: bring-your-own Claude and Gemini keys, per-user AI access controls, and now an Ask AI that asks clarifying questions back. The GitHub App integration also signals enterprise-readiness work alongside the AI push.
The product is being repositioned from a self-service BI tool to an AI-mediated analytics workspace where natural-language exploration is the headline interaction. Crucially, the team is pushing AI as an infrastructure layer customers can own — BYO LLM keys, granular access policies — rather than locking customers into a vendor-managed model. The dashboard improvements look incremental, but read as ground prep for AI agents to consume and manipulate dashboards more reliably.
Expect the next quarter to bring agentic dashboard editing — Ask AI not just answering but proposing dashboards and saving them — plus expanded BYO LLM coverage (likely Azure OpenAI or open-weights via OpenRouter) to widen procurement options for enterprise buyers.
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