A new way to build decentralised recommendation engines for the creator economy

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • WorkOS - The modern identity platform for B2B SaaS
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  • EnvisEdge

    Discontinued Deploy recommendation engines with Edge Computing

  • Hear me out on what I think a truly decentralised content curation.

    Twitter, FB (Meta), Youtube everyone harvests user data and train their recommendation engines which are then monetised by them (often unfairly).

    In the future, the data stays on the users' devices and anyone can train their models by asking the user for the consent. THe data never leaves the device and ML models get trained on user device itself. The users get to choose from a host of recommendation choices and can ask for payment in return for using their data. So no one party can build a monopoly over the platform.

    Check out a cool project I have been working on to solve this https://github.com/NimbleEdge/RecoEdge

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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