Leantime vs Asana
Side-by-side trajectory, velocity, and editorial themes.
Leantime swaps its rich-text engine, ships experimental PostgreSQL, and spends a month fixing the fallout.
Leantime just landed 3.7, which replaced TinyMCE with a Tiptap-based editor across every rich-text surface, redesigned the wiki, and added experimental PostgreSQL support beside MySQL/MariaDB. The three follow-up patches in three weeks are real bug-fix work — PostgreSQL ROUND/GROUP BY errors, ticket PATCH 500s, session lifetime regressions — not cosmetic tidying. The team also pushed accessibility to WCAG 2.1 AA in the prior 3.6 line.
Leantime is mid-modernization: editor stack, database portability, and design-system tokens are all moving at once. The volume of PostgreSQL-specific bug fixes since 3.7.0 suggests Postgres is being driven by real users hitting real edges, not just a checklist item. Editor-related fixes show Tiptap migration is still settling in.
Expect 3.7.4 within a couple of weeks closing the remaining migration-era bugs, then a clearer 3.8 push around design-token rollout or PostgreSQL going non-experimental.
Asana doubles down on rules-driven automation while loosening the old project-team coupling.
Asana is shipping at a high cadence on two parallel tracks. The first is deepening its automation engine — pausable rules, rule duplication across projects, scheduled triggers that now act on tasks already in a project, and rule actions that bind to project-template roles. The second is reshaping enterprise governance and data model, with RBAC view permissions in Release Preview and Teamless Projects loosening a long-standing structural constraint.
Rules are being built into the automation backbone of the product — closer to a no-code workflow runtime than a notification system. Teamless Projects removes a constraint that made enterprise rollouts awkward, and the Timesheets and Budgets add-on going GA pulls Asana into PSA-adjacent territory. The pattern is consistent: move from a flat, team-scoped task tracker toward a configurable platform that can be sold up-market.
Expect future rule actions to look more agentic — AI-driven branching, conditional approvals — and an RBAC-aware automation surface so admins can govern who can trigger what across the workspace.
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