Goals, Stakeholders, and Value Flows
The $BATCH ecosystem has several key goals that it aims to achieve, which are:
- 1.Increased FID adoption and usage of personalization queries are crucial metrics for measuring the success of our mission to build a personalized platform. The number of people using our personalization features and the frequency of their usage indicates the effectiveness of our efforts.
- 2.Lower data query fees are necessary to make personalized solutions more accessible to a wider range of projects that use FirstBatch. As more projects use our platform due to the lower fees, the impact of personalized solutions on users will increase.
- 3.High-quality data is essential for providing a good user experience, as it directly impacts the accuracy of interest assessments and alignment calculations. Without high-quality data, the relevance of personalized content may not be meaningful.
- 4.Consistent data flow is vital for retaining users, as inconsistent content quality may cause users to stop using the application.
- 5.Increased token adoption will strengthen the connection between the token price and the people who benefit from the protocol. This will reduce the system's vulnerability to speculative trading strategies and enhance its overall stability.
All of these goals are interdependent and closely related to the number of queries during any given period. Thus, a high number of queries is a strong indicator of the ecosystem's success in achieving its goals.
The stakeholders in the FirstBatch ecosystem can be divided into 3 groups:
- Leaders & Key Partners: These are the stakeholders that make the protocol possible in the first place. Examples:
- FirstBatch/FirstBatch Foundation
- Advisors & Investors
- Protocol Contributors: This refers to the actors that interact with the protocol with the intent of improving its capabilities and pushing it forward. Examples::
- Open-source development contributors
- Providers of off-chain content to the UIG
- Service Recipients: Stakeholders that mainly interact with the protocol in order to use its capabilities to their benefit. Examples:
- Platforms integrating FirstBatch protocol to get personalized experiences
- Projects/developers building their own decentralized similarity search models using DANNY
- Projects/developers creating their own decentralized key-value databases using HollowDB
- End users that get personalization
There are five key roles related to tokenomics that each agent can use. A role can be used by agents that belong to different stakeholder categories and one agent can have multiple roles.
- Connectors query UIG to create personalized experiences. These are projects that integrate FirstBatch’s plug-and-play personalization solution (also known as Personalization as a Service) to provide a better UX to their users.
- Connectors’ goals are to get consistent and high-quality personalization on their platforms with low fees.
- Users are the people who use hyper-personalized platforms created by connectors. They create their FirstBatch ID (FID) by connecting their social accounts and getting an analysis of their interests, which is used for personalization. They fully own their data and no other party - not even FirstBatch- can access it.
- Users’ goal is to earn tokens while using high-quality curated feeds.
- Curators create decentralized similarity search engines using DANNY.
- Curators aim to create decentralized similarity search engines that enable consistent recommendations and personalization with low fees.
- Hollowers use HollowDB through FirstBatch’s API to store data in a decentralized key-value database.
- Hollowers’ goal is to get build a key-value database that enables full data ownership for low fees
- Bridgers are providers of off-chain data sources to be labeled, vectorized, and added to UIG. They can contribute text, image, video, audio, etc. content to the UIG, which will eventually increase the quality of personalization that connectors are providing to their users.
- Get high and consistent compensation for their data contributions
How the token’s flow is affecting the various metrics to create causal relations across the ecosystem is shown in the causal loop diagram outlined below:
It’s important to notice that the overall polarity of the ecosystem drives the token’s value based on its utility to various roles.