We recently made a deliberate decision to rebrand our AI product from Kinkora to Conut.
This wasn’t about marketing or aesthetics. It came from a shift in how we understood the real problem creators face.
When we first launched, we focused heavily on prompting — helping users get better results from a specific model. Over time, we noticed a pattern:
Most friction didn’t come from starting a generation, but from what happens after.
People wanted to:
Compare outputs across models
Enhance or extend generated images
Turn results into videos or new variations
Iterate without starting from scratch
Prompting alone didn’t solve that.
So alongside the rebrand, we:
Redesigned parts of the UI around iteration, not one-shot generation
Added support for more models and creative modes
Started building toward an editor-style workflow, where post-generation control is first-class
Conut is still early, but the direction is now clearer: AI as a creative workspace, not a prompt box.
Happy to answer questions or hear critiques — especially from anyone building tools in the creative or AI space.