
Minimalist project management with AI task breakdown for small teams.

Product memo
Kanbanq offers a minimalist project management experience for indie hackers, creators, and small teams. It integrates AI for task breakdown, sprint summaries, and backlog organization directly into a clean interface. A dual board system and public roadmap feature cater to transparent workflows and community engagement, positioning it as a simple yet specific alternative to complex project tools.
For who
Devs, designers, and small teams
Solves what
Minimalist project management with AI task breakdown and reporting
- Real-time boards
- AI work reports
- Dual board system
In their own words
Your projects. Managed, simply & beautifully
get your projects managed simply and beautifully with real-time boards, AI work reports and a public roadmap your community can follow.
Commercial cues
Model
free only
Free tier
Yes
Trial
Available
Pricing Strategy
Kanbanq offers a free tier; paid plan details are not publicly priced.
- • A free tier with task limits reduces friction for individual users.
- • Per-user monthly pricing aligns costs directly with team size and active usage.
- • Monthly pricing keeps plan comparison straightforward.
Operator context
Operating setup
Team
Indie / lean
LLM classification
Founded
Aug 2025
HQ
Canada
Platform
Web app
Audience
Developers
Social footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Solo Buildable
About Kanbanq : Open alpha Expand
Kanbanq delivers a focused project management experience tailored for developers, designers, and small teams. It simplifies complex workflows by integrating AI for task breakdown and sprint summaries, helping users maintain a clear overview without unnecessary features.
The platform's real-time boards and dual board system support agile methodologies, while a public roadmap feature fosters transparency and community engagement. This approach positions Kanbanq as a direct alternative for those seeking specific project management without the overhead of larger, more feature-rich platforms.


