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Comparison · Collab

Hive vs Avoma

Side-by-side trajectory, velocity, and editorial themes.

Hive logo
Hive
COLLABPM
5.0

Hive keeps stacking dashboard and reporting widgets while pushing core work to mobile.

◆ Current state

Hive's recent shipping cadence is dominated by dashboard and reporting depth: a Gantt widget, pivot-table conditional formatting, a unified series manager, 100% stacked bars, and project-scoped Goals filters. Alongside the BI work, it extended core surfaces to mobile with Hive Mail and audio messages, and tightened time-tracking hygiene. These are steady, user-visible improvements rather than direction changes.

◆ Where it's heading

The arc points at making dashboards a real reporting workspace instead of a summary layer, so PMO and operations teams can build reusable, project-templated views without leaving Hive. In parallel, Hive is closing the desktop-to-mobile gap for communication and email. Time-tracking changes suggest ongoing attention to timesheet accuracy for services teams.

◆ Prediction

Expect continued dashboard widget and filtering additions plus more mobile parity for existing desktop features. Nothing in these entries signals a pricing or platform pivot.

A
Avoma
COLLAB
6.3

Avoma leans on MCP and AI reasoning, but its crawled feed is mostly SEO comparisons

◆ Current state

Most of Avoma's crawled feed is SEO comparison content (Fathom vs Fireflies, revenue-intelligence roundups), but two threads point at real product direction: a monthly product-update roundup and a run of posts building out Avoma's MCP server for connecting meeting data to Claude and ChatGPT. The clearest product signal is the June update — a smarter Ask Avoma reasoning engine, pre-call context, and CRM automation. The rest is content marketing around the meeting-intelligence category.

◆ Where it's heading

Avoma is positioning its meeting data as an AI-queryable source via MCP, and layering reasoning on top with Ask Avoma. If that continues, the product moves from notetaker toward a RevOps intelligence layer that agents query directly. The heavy comparison-content output suggests a parallel push for category search traffic.

◆ Prediction

Expect further MCP use-case buildout and iteration on the Ask Avoma reasoning engine; a bundled monthly roundup is the likely next product-update format.

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