Vdea – Design Lessons

We tried Lanami, Vdea, and AquaClash and have since sunset all three. They are no longer active products. These pages remain as a record of what we built and learned.

Vdea was a video bounty experiment. Funders attached rewards to ideas, creators submitted videos and viewers supplied engagement signals. We explored both manual selection and automatic ranking. The feed was the visible layer; the difficult product decisions concerned how people could trust the reward rules.

Manual selection introduced room for bias, delayed decisions and disputes. Automatic selection shifted the problem towards understandable scoring and manipulation. We considered signals such as views, watch time, likes, comments, saves and shares. No single metric could establish quality or fairness by itself.

Both sides needed predictable conditions: creators wanted confidence in payment, while funders wanted useful submissions. Introducing money also changed expectations about the clarity of the rules.

The experiment taught me to distinguish a documented rule from a trustworthy outcome. Transparent criteria, abuse handling and consistent execution needed attention together. We have since sunset Vdea. These notes describe the design questions we explored, not a live marketplace or a measured claim of fraud prevention.