Concise We-Disrupt-AI-driven co-founder matching

Example

Identifying potential co-founders by analyzing user profiles and matching them based on complementary skills and compatible business goals.

Scenario

A developer with a startup idea in renewable energy uses the platform to find a business-minded co-founder with expertise in green technologies and venture capital.

Example

Using integrated project management tools to track contributions and milestones, automatically updating ownership stakes based on performance and involvement.

Scenario

A startup team uses the platform to monitor each member’s contributions, automatically adjusting their equity share based on the real-time data logged into the project’s timeline.

Example

Automatically recalculating and reallocating ownership percentages among co-founders based on their ongoing contribution to the project.

Scenario

When a co-founder fails to meet their commitments repeatedly, the platform reduces their stake and increases the shares of the more active members accordingly.

Example

Recording all transactions and equity changes on a blockchain to ensure transparency and tamper-proof record keeping.

Scenario

Every change in ownership stake is recorded in a blockchain ledger, providing immutable proof of each member’s stake at any given time, accessible to all stakeholders.