Notesnook vs Plane
Side-by-side trajectory, velocity, and editorial themes.
Notesnook is on a steady alternating Desktop/Android point-release cadence with no inline changelog detail.
Notesnook is shipping a Desktop or Android point release roughly every 3–4 days (Desktop v3.3.15 → v3.3.19, Android v3.3.20 → v3.3.24). The GitHub release notes are uniformly empty — each one points to the blog rather than enumerating changes. The one detail-bearing release in the window (Desktop v3.3.16) was entirely bug fixes: scrollbar cutoffs, submenu lazy-item cutoffs, urgent-reminder segfault on Linux, backspace crash, paddle iframe crash, note-subtitle length cap.
The product is in a maintenance-and-polish phase on both Desktop and Mobile, judging from the one release that did publish detail and the steady point-bump pace. The opaque release notes are themselves a signal: directional reading has to come from the company blog, not the repo. There is no public hint of a 3.4 or 4.0 cut in this window.
Cadence continues — another paired Desktop/Android release within the next week, almost certainly more crash and UI fix work in line with the v3.3.16 pattern.
Plane is climbing the enterprise ladder — custom roles and granular permissions — while bolting Plane AI into the editor.
Plane is on a roughly fortnightly cloud changelog cadence. Two structural moves stand out. The April 25 release redesigned the permissions system into a two-layer access model with per-resource overrides, a new Workspace Admin role, and custom roles for Enterprise. The May 15 release deepened the data and AI surface: PQL in Dashboards, URL-based media embeds in the editor, Gantt for Teamspace, customer requests on work items, bulk-copy across projects, and Plane AI editing pages. The changelog source duplicates each release into multiple scraped entries.
Plane is moving up-market in two coordinated directions: enterprise-grade access control (custom roles, granular permissions, soon almost certainly audit logs and SCIM) and a data/AI analyst layer grafted onto the tracker (PQL as the query language for dashboards and work-item search, Plane AI taking write-actions). The intent looks like a head-on competitive position against Linear and Jira at the enterprise tier rather than the friendlier-alternative role Plane occupied earlier.
Expect SCIM, SAML refinements, or admin audit logs to follow the custom-roles redesign as the rest of the enterprise checklist. On the AI side, Plane AI write-actions extend from pages to work items themselves — bulk edits, generated descriptions, or automation rules driven from the chat.
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