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Comparison · Mkt Auto

Ghost vs Gumloop

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

Ghost logo
Ghost
MKT AUTO
6.3

Ghost ships steady creator-facing polish and cements its public-good positioning.

◆ Current state

Ghost's recent cadence is a weekly drumbeat of small but visible creator UX wins: in-product theme editing, saved audience segments, native share buttons, welcome-email design controls, and a Home Assistant integration. Alongside that, the project secured Digital Public Goods Alliance recognition, which is more positioning than feature, but a deliberate one for a platform that competes against venture-backed newsletter tools.

◆ Where it's heading

The product direction is unmistakably 'reduce the friction between idea and published newsletter,' with each release smoothing a step in the author and member workflow. The DPG recognition reinforces the open-source narrative that distinguishes Ghost from Substack and Beehiiv on values rather than features. Expect more in-product editing surfaces and audience-segmentation tools, plus continued strategic emphasis on independence and portability.

◆ Prediction

The next visible moves will likely deepen member analytics and segmentation tooling, and broaden in-product editing beyond themes to other site assets. A pricing or partnership announcement tied to the DPG positioning would not be surprising.

G
Gumloop
MKT AUTO
7.5

Gumloop turns into an MCP control plane: host, proxy, gate, and audit every agent-to-app call.

◆ Current state

The headline move is MCP Hosting, Proxying, App Rules & Activity — customers can host their own MCP servers, proxy external ones, set policy-driven app rules, and watch the resulting activity, with Enterprise data drains to S3 or BigQuery as the audit substrate. Around it, the weekly cadence is dense: incognito mode for agent chats, Shared With Me and Organization views for collaboration, per-app account selection, a partner program for referrals, and Gmail triggers extended to any label.

◆ Where it's heading

Gumloop is repositioning from an AI-workflow builder into an enterprise MCP runtime — hosting, governance, and observability on top of the agent layer. Each recent release reinforces that thesis: credential pinning per MCP tool, plain-English app policies, audit-log filters, SCIM team/role sync. The bet is that the bottleneck for agent adoption is not capability but control.

◆ Prediction

Expect Enterprise data drains to extend to common SIEM destinations (Splunk, Datadog) and the App Policies surface to add policy-as-code authoring alongside the plain-English mode.

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