IPO specification
What do you need to specify to launch an Initial Paranet Offering (IPO) and incentivize the creation of your paranet knowledge graph
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What do you need to specify to launch an Initial Paranet Offering (IPO) and incentivize the creation of your paranet knowledge graph
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In this specification phase, the focus is on the concept for your paranet and how you plan to apply incentives to grow a vibrant community of knowledge miners. that needs to be populated for your Initial Paranet Offering (IPO). Below, you will find detailed guidelines and additional information to assist you in filling out the template and structuring your IPO proposal effectively.
Start your journey by stating what your paranet aims to achieve. Clearly outline the purpose and objectives of your paranet. Try to answer the following questions:
What problem does it aim to solve?
What kind of knowledge collections* and services will it offer?
What type (if any) of specialized tools will knowledge miners need to run?
Who are the expected users?
How will they interact with the paranet?
A visual representation is crucial for ensuring easier understanding and communication of your paranet structure. Create a visual representation (block scheme, architecture diagram, or similar) of your paranet structure, showcasing how various services, knowledge collections*, and stakeholders interact within the paranet ecosystem.
As a paranet operator, you may run many different services in association with your paranet knowledge collections, such as AI services (LLMs, agents, etc.), data feeds, user or machine-to-machine interfaces, etc. An example of a service would be an AI question-answering system, which operates on the basis of understanding natural language questions and extracting answers from the DKG (using dRAG). Describe your services with as much detail as possible.
NEURO emissions are requested by the paranet operator from the NeuroWeb Governance to fuel the game-theoretical system the paranet operator designed in order to ensure the growth of knowledge in their paranets, leading to the paranet achieving desired objectives.
Paranet operators propose how the incentives will be split across three groups:
Paranet operator running the AI services
Knowledge miners contributing knowledge to the paranet
NEURO holders that participated in supporting the creation of an IPO through governance
The success of an IPO largely depends on the paranet operator's ability to wisely propose the incentive structure, taking into consideration, among others, the following factors:
Knowledge miners who are mining knowledge collections on the DKG by using TRAC utility tokens are central to the success of a paranet. Their role is also critical for distributing the NEURO emissions among the three groups, as such distribution only occurs as new knowledge is mined. When launching an IPO, the paranet operator defines the ratio of NEURO to be earned per TRAC spent to mine each knowledge collection. An IPO operator may set the ratio autonomously to target a desired profitability before the proposal is submitted to voting, yet attempts of price gouging might not receive support from NEURO holders.
The paranet operator defines AI services that the operator will make available as a part of the paranet. For running the AI services and supporting the paranet, the paranet operator can set a percentage of the emissions as a paranet operator fee.
NEURO holders that support an IPO via governance voting are to lock up tokens for the duration of NEURO emission allocated for the IPO. Though the share of emissions allocated for an IPO is an important factor for NEURO holders’ decision, the duration of the “lock period” can also play an important role. The paranet operator also defines what portion of paranet incentives will be shared with NEURO holders supporting the proposal.
Detail your marketing strategy for promoting and attracting knowledge miners to your paranet. Include channels, tactics, timelines, and any collaborations or partnerships planned for marketing purposes.
To best leverage the neuro-symbolic nature of the DKG, it is recommended to apply a rich schema for your paranet knowledge collections. If your knowledge is organized according to an ontology, abilities such as knowledge graph reasoning become possible, as well as increased efficiency with knowledge querying (through SPARQL). We recommend picking at least one established ontology that applies to the knowledge domain of your paranet. Learn more on ontologies .
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