# Master Strategy (Network Effects)

[Network effects](https://www.nfx.com/post/network-effects-bible) are what makes products unstoppable, when each new user makes the product more valuable for everyone else. Avici is built on this principle: growth comes from connecting multiple nodes that reinforce each other and compound over time. Its highly important in a competitive market like Fintech to have this.&#x20;

Avici’s network effect nodes:

* Trust Score
* Payroll Account
* Employer
* Employee
* Spend Card

<figure><img src="https://62186093-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FCUZvnqDp9SAg6OnwQm3C%2Fuploads%2F1dWEDTBgXysA5iuGHR4t%2FAvici%20Network.png?alt=media&#x26;token=6c41116a-73d5-4ebc-9fef-3692dc93fb59" alt=""><figcaption></figcaption></figure>

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### 1. Cold Start Problem

We solve this by bootstrapping with strong incentives and utility using the card

Our edge:

* Users don’t join Avici for others; they join for instant utility, spend card + USD account.
* Once they join, their actions (spending, salary deposits) start generating Zk data → trust score → yield → more users.

&#x20;Designing the cold start loop:

* Reward early usage (e.g. cashback, referral, yield boost).
* Highlight instant utility first, network benefits second.&#x20;

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### 2. Multiple Network Effects in Avici

We have at least 4 overlapping network effects:

* Data Network Effect: Every user spend improves the Trust Score algorithm, making credit scoring more accurate.
* Two-Sided Network Effect: Employers ↔ Employees (Payroll system). More employers onboard → more employees → more card usage.
* Social / Behavioral Network Effect: Once friends or coworkers are on Avici (getting salary, cashback, etc.), switching becomes hard.&#x20;
* Platform Network Effect: As more merchants start accepting stablecoins, legacy payment rails face the innovator’s dilemma, they lack the incentives to adapt quickly, while the new ecosystem compounds value with every new participant

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### 3. Defensibility

Our moat compounds through data, reputation, switching costs, and multi-product integration.

* Data: Trust Score becomes the standard.
* Switching Costs: Once salary + spend + savings are within Avici, leaving breaks the loop.
* Ecosystem Depth: Owning both payroll (employer) and card (employee) builds resilience, each reinforces the other.
* Reputation: Avici becomes synonymous with “crypto credit identity,” like Plaid became for data pipes.

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### 4. Designing Incentives That Align Each Node

| Node                | Incentive                                                   | Effect                            |
| ------------------- | ----------------------------------------------------------- | --------------------------------- |
| Employer            | Lower payroll fees, instant payouts, yield on idle treasury | Motivates onboarding employees    |
| Employee            | Cashback, yield, credit line via Trust Score                | Drives transactions + retention   |
| Spend Card          | Rewards, 0-FX, instant off-ramp                             | Incentivizes everyday use         |
| Trust Score         | Unlocks higher limits, better rates                         | Incentivizes responsible behavior |
| DAO / Token Holders | Governance over credit & yield pools                        | Aligns ecosystem-level incentives |

Design principle:

Everyone should be rewarded when others use Avici more, so there is compounding alignment.

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### 5. Compound Network Design

This is the holy grail, it’s a network of networks:

* Payroll network (employers ↔ employees)
* Spend network (users ↔ merchants)
* Credit network (users ↔trust score↔lenders)
* Data network (user data↔yield models)

Each strengthens the others, forming compound network effects, which is the most defensible moat in the world.

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### 6. TLDR

* Starting with one strong wedge (e.g. spend card + payroll).
* Instrument every interaction to increase value for others (data, liquidity, reputation).
* Introduce status loops (e.g. High trust score = unlocked higher credit line + Early access to exclusive Events)
* Focus on node density, not just total users. Depth before breadth.

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