SupportBee vs Hiver
Side-by-side trajectory, velocity, and editorial themes.
SupportBee's public changelog hasn't moved since 2019 — the product appears dormant.
All four ingested SupportBee entries are from early 2019: a UI refresh, an autocomplete tweak in the ticket reply form, a Customer Groups feature for the Enterprise plan, and the meta-announcement of starting a changelog. There has been no public release activity in the seven years since.
There is no observable trajectory. The 2019-only entries suggest the product is either in deep maintenance mode or has stopped publishing externally. Whatever direction SupportBee took post-2019 isn't visible from the public release notes.
Without fresh signal, no confident prediction is possible. The likely scenarios are continued maintenance for an existing customer base or eventual sunset; the data here cannot disambiguate.
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.
See more alternatives to SupportBee →
See more alternatives to Hiver →