| Category | Wiki Core Β· Economic Model |
| Status | R&D Β· Active Development |
| Maturity | π 35% β Framework drafted |
| Licence | AGPL v3 Β· CC BY-SA 4.0 |
| Related | Commissions Β· 4 Concepts Β· Governance |
Socio-Economic Success Criteria
Wiki Core Β· Economic ModelThis page presents WikiDeal's economic model through the lens of success criteria β the conditions that must be met for WikiDeal to be genuinely different from extractive platforms, and genuinely useful to the communities it serves. Each criterion is linked to the detailed documentation where it is developed further.
1. Low Commissions (1β2% at Cost)
WikiDeal's Commissions are set at cost β covering only the operational expenses of running the platform (servers, support, development). There are no shareholders extracting profit, no venture capital to repay. The target is 1β2% Commission on Transactions, compared to 15β30% on extractive platforms.
This is not a marketing claim. It is a structural commitment enforced by WikiDeal's governance: Commission rates are publicly auditable, tied to real operating costs, and reviewed annually by the community. If costs fall, Commissions fall.
2. At-Cost Pricing
WikiDeal is not listed on any stock exchange and has no external shareholders extracting profit. All surplus generated by the platform is reinvested into the community β funding incubators, improving Infrastructure, and seeding new marketplace verticals.
This is the structural basis for low Commissions: without profit extraction pressure, pricing can track actual costs. This also means WikiDeal cannot be "unicorned" β there is no exit strategy that would betray the community for investor returns.
3. Attractive Boost Mechanism
The Boost is WikiDeal's primary mechanism for attracting early funders and rewarding community contributions. Built on a bonding curve, it means early contributors receive proportionally more Credits for the same investment β rewarding trust and early participation.
Unlike conventional reward programmes, the Boost is mathematically transparent: the bonding curve formula is public, auditable, and hardcoded into the smart contract. There are no hidden multipliers, no fine print. The boost decreases as the community grows, creating a natural incentive for early adoption.
4. Organic Incubation: User Groups β Rings of Trust
WikiDeal does not scale by hiring armies of employees or acquiring competitors. It scales by incubating User Groups β small, local teams of 5β20 people who adopt WikiDeal tools, build local trust networks, and gradually expand marketplace activity in their territory.
User Groups evolve into Rings of Trust as they accumulate track record, validated contributions, and community recognition. This organic model is slower than venture-funded growth but more resilient β each node is locally rooted and self-sustaining.
5. Donations + Volunteering = Competitive Advantage at Launch
At launch, WikiDeal's primary competitive advantage is not technology or capital β it is the willingness of community members to contribute time, skills, and money to a shared project they believe in. This "community capital" allows WikiDeal to operate at lower cost than commercial competitors while building authentic relationships.
Volunteers contribute to governance, content, translation, development, and street fundraising. Donors fund the Infrastructure. This creates a virtuous cycle: community investment β better platform β more community investment. Success criteria: volunteer retention rate, Donation growth, active contributor count.
6. Automated Step-by-Step Guidance
WikiDeal's platform guides every interaction through structured, automated step-by-step processes: forms that capture necessary information, checklists that ensure quality standards are met, photo evidence that creates an auditable record. This reduces friction, prevents disputes, and builds trust between strangers.
Evidence-based guidance makes the platform scalable: a User Group of 5 can manage dozens of interactions because the system handles the routine documentation. Human attention is reserved for edge cases, disputes, and moments that genuinely need judgement.
7. ~70% Mathematical / ~30% Human Sensitivity
WikiDeal does not aspire to full automation. The target balance is approximately 70% algorithmic (matching, scoring, pricing, scheduling, documentation) and 30% human (trust assessment, conflict resolution, cultural sensitivity, creative problem-solving). This ratio reflects our understanding that community trust cannot be fully automated.
The 70% algorithmic layer ensures consistency, fairness, and scalability. The 30% human layer ensures adaptability, empathy, and the ability to handle situations the algorithm was not designed for. Both are necessary; neither is sufficient alone.
8. Human Intervention Always Available
Every WikiDeal process, however automated, includes a clear pathway to human support. Users can always reach a real person β a User Group facilitator, a WikiDeal mediator, or a community volunteer β at any step of any interaction. This is non-negotiable.
This is both an ethical commitment and a strategic one: the communities WikiDeal serves often include people who are not comfortable with fully digital processes, who face language barriers, or who are in vulnerable situations. Human availability is what makes WikiDeal trustworthy, not just functional.