Canny vs Hiver
Side-by-side trajectory, velocity, and editorial themes.
Canny is wrapping AI and MCP around its Ideas + Autopilot stack to close the feedback loop end-to-end.
Canny is shipping at steady weekly cadence across three threads. The Ideas beta launched in December keeps gaining depth — two-way status sync with GitHub/Jira/ClickUp/Linear, Ideas-to-Portal status mapping. The MCP server (introduced in February for ChatGPT and Claude) is gaining tooling — list insights, list comments, merge ideas via MCP, and accuracy fixes for long conversations. AI features inside Canny — Smart Replies with custom instructions, Autopilot's 'no feedback found' transparency view — continue to mature.
Canny is pivoting from 'feedback voting board' to AI-driven feedback intelligence platform with native PM integration. The Ideas hierarchy gives the data shape AI can work on, the MCP server lets AI tools work on it natively, Autopilot ingests feedback from any source, and Smart Replies closes the user-facing loop. Two-way PM status sync makes Canny the connective tissue between user feedback and engineering execution.
Expect Ideas to graduate from beta and become the default. More MCP tools likely follow — especially write-side actions beyond merge — plus broader Autopilot ingestion (Slack already; possibly Front, Intercom, Zendesk threads). AI-powered prioritization and roadmap recommendations look like the obvious next layer.
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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