Mattermost
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
A side-by-side editorial comparison of Linear and Joplin — release velocity, themes, recent moves, and the top alternatives to consider.
Linear stopped being where work is described and became where it gets started.
Linear's recent output is dominated by one thread: an in-product agent. Linear Agent shipped, gained MCP so it can reach tools outside the workspace, and picked up intake from Intercom, Zendesk and Gong plus a deeplink handoff into external coding tools. Around it sits steady tracker work — team owners and permissions, multi-level sub-teams, time-in-status, advanced AND/OR filters, Releases, web forms for Asks, and a broad UI refresh.
Joplin 3.7 ships AI chat, semantic search, and MCP integration — all off by default, all controllable by the user.
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
Linear's recent output is dominated by one thread: an in-product agent. Linear Agent shipped, gained MCP so it can reach tools outside the workspace, and picked up intake from Intercom, Zendesk and Gong plus a deeplink handoff into external coding tools. Around it sits steady tracker work — team owners and permissions, multi-level sub-teams, time-in-status, advanced AND/OR filters, Releases, web forms for Asks, and a broad UI refresh.
The centre of gravity is moving from recording work to attempting it. Each release widens the agent's reach in a different direction: MCP for tools, support integrations for intake, deeplinks for handoff to coding agents. The conventional tracker features increasingly read as the substrate the agent operates on rather than the product itself.
Expect the next moves to deepen agent context and control rather than add tracker surface — more MCP-reachable actions, and permissions or review steps governing what the agent may do on its own.
Joplin 3.7 is the product's first real AI release: an in-app chat panel for querying the currently open note, semantic (meaning-based) search across notebooks, and an MCP server that lets external AI assistants connect to Joplin's note graph. The implementation is privacy-first by design — AI is disabled by default, local models (Ollama, LM Studio) are explicitly supported, and cloud AI services only receive the specific note content relevant to a request rather than the full notebook. A companion documentation post published September 14 lays out the privacy model explicitly.
Joplin is repositioning from a sync-agnostic note-taking app into an AI-native knowledge base, differentiated by opt-in, local-first controls. The HMD Terra M preload partnership and the warrant canary point to a deliberate push toward privacy-conscious enterprise and professional users who distrust cloud-first tools. The MCP integration is particularly strategic: it makes Joplin's note graph accessible to external orchestration pipelines without locking into any particular AI provider.
The next major release will likely expand AI chat to multi-note context — currently limited to the open note — and add more configurable MCP tools. The HTR (handwritten text recognition) project from the 2024 French government partnership is also likely to appear in a near-term release.
Other Collab products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Linear or Joplin.
Mattermost v11.11 adds data spillage exposure tracking as v12.0 breaking changes loom
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See all Linear alternatives → · See all Joplin alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — mcp — within Collab. Joplin is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Joplin is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Collab products to evaluate alongside.
Top Linear alternatives in Collab are ranked by recent ship velocity. Browse the "Linear alternatives" section above for the current picks, or visit /alternatives/linear for the full list with editorial commentary on each.
Top Joplin alternatives in Collab are ranked by recent ship velocity. Browse the "Joplin alternatives" section above for the current picks, or visit /alternatives/joplin for the full list with editorial commentary on each.