Kayako vs Hiver
Side-by-side trajectory, velocity, and editorial themes.
Kayako's public changelog has been silent since mid-2022 — the radar is showing a stalled product.
Kayako has not posted a public changelog entry since June 2022. The most recent communication was a CEO apology over a performance incident and a series of link-only release-notes posts pointing to a Help Center article. The visible operational picture is an established customer-support product no longer broadcasting product motion.
Direction is hard to read from public changelog activity alone, but the trajectory implied by the silence is unmistakable: either the product moved its release communication elsewhere, or development pace slowed enough to stop justifying a regular changelog. Either way, prospects watching only the public surface see no momentum.
Without renewed public activity, Kayako will continue to be perceived as legacy in a category where Zendesk, Intercom, and HelpScout are publishing prominently. A customer-facing changelog refresh would be the lowest-effort signal to send, and is the most likely next move if the product is in fact still under active development.
Hiver pivots from Gmail-only to AI-grounded omnichannel.
The recent feed shows two parallel pushes: an AI knowledge layer (Google Drive, Confluence, and Google Sheets becoming Ask-AI-queryable sources) and a channel-expansion push (Slack as a managed customer-service channel inside Hiver Omni, plus omnichannel search and automation primitives that work across email/chat/Slack). Automation gets meaningful new building blocks too — API calls as actions, new triggers and conditions.
Hiver is repositioning from 'shared inboxes inside Gmail' to 'AI-grounded omnichannel customer service platform.' The Slack-as-channel and API-call automation moves directly compete with Front, Help Scout, and the lightweight tier of Zendesk. The AI knowledge-source work is laying the grounding layer that turns Hiver AI from a reply-suggester into something closer to a tier-1 agent.
Expect a Microsoft Teams channel addition, more knowledge-source connectors (Notion, SharePoint, Salesforce KB), and a packaged 'AI Agent' tier that bundles Ask AI + grounded sources + automation actions into something that resolves tickets autonomously. Pricing for AI usage is the next question — flat seats won't survive heavy Ask-AI workloads on customer data.
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