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DV
@degenveteran.eth
Scalability question ❓ Preferably whatever is the current best practices if rolled out. However, as of now... We'll start with the Rule-Based Matching (Scenario 1) for the MVP. As usage grows, we’ll gradually roll out the Hybrid ML System (Scenario 2). Long-term, we aim to make Web-Hunters the first Fully Decentralized, Federated Talent Protocol (Scenario 3) powered by zkTLS and AI. Unless @naaate or @janicka or anyone else that may be a part of this team if it continues has a better plan. https://warpcast.com/kafenvinshi/0xd68b7f70
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naaate
@naaate
I think it's not usually worth the effort to worry about scalability when at the MVP phase. They key is getting to something people want. It's more important to start with a structure you can learn from and iterate on, even if HIGHLY unscalable. So yeah, this makes sense to me. Playing around with the rules yourself and talking to a lot of people trying to use the service (or not using it, and why they don't want to use it) gives you a lot of learning you can then try to apply to the ML system.
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DV
@degenveteran.eth
Thanks for the feedback! I did not think it was too important at this phase either however I wanted to answer the question (kind of). Ultimately I left the pending best practices as things change so often with the rapidly advancing technology.
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