Spinach Medium impact ▲ approaching
📍 competes directly with us (closeness 4+)
Why this matters to us
Closest to us in intent — an AI for standups/retros that already ships. Smaller and ceremony-bound; we win with a continuous goal across all meetings.
Trajectory ▲ approaching
Added real-time in-meeting Q&A + live notes and positions itself as turning standup talk into assigned Jira/Linear tickets automatically — deeper into real-time meeting→execution (our turf).
What they are
Runs the 4 Scrum ceremonies; standup→Slack; auto ticket updates.
Who they sell to: Agile/Scrum engineering teams.
Price: Free · Pro $2.90/mtg-hr · Business $19/$29.
How strong they are
Where they beat us today
- Engineering fit
- Closest in intent and already live
Their gaps
- Ceremony-bound, not a continuous goal
- Lighter on governance
- Not Microsoft/ADO-first
How we win
- Continuous goal across all meetings
- Broader buyers (PMO/exec)
- Microsoft + ADO depth
What we caught (2)
2026-04-24 our lane
Spinach adds real-time Q&A + auto-syncs action items to Jira/Linear/HubSpot
Why it matters to us: Closest in intent; it turns standup talk into synced dev tickets in real time — squarely our loop, but ceremony-bound.
Real-time in-meeting Q&A + live notes; expanded its automation pipeline to auto-sync meeting action items to Jira/Linear and (Apr 2026) HubSpot.
Spinach blog ↗Our move
Say: Spinach lives in the standup; Collabix carries the goal between standups, planning and reviews — one continuous timeline.
Ship: Show goal continuity across ceremony types.
Sell: 'Why not Spinach?' → ceremony-bound, not a continuous goal; we also cover Azure DevOps + PMO/exec.
2026-01-10 our lane
Spinach repositions as 'the context layer' for AI agents (LinkedIn)
Why it matters to us: Our closest-intent rival is shifting from AI scrum master straight into our territory — a 'context layer' that captures and centralizes human communication for AI. That's our goal-context-memory moat, in their words.
Spinach 'Wrap 2025' on LinkedIn (~Jan 2026): 'the market realized how crucial context is for AI… companies need a new context layer — we're building that layer, capturing and centralizing human communication.'
Spinach LinkedIn ↗Our move
Say: A generic 'context layer' just stores talk; Collabix attaches context to the GOAL — decisions, risks, dependencies — so it drives work, not just recall.
Ship: Make the goal → decision → tracked-work thread the hero of the demo.
Sell: 'Spinach is building a context layer too' → ours is goal-scoped and ships approved work to Jira/ADO, not a passive store.