redsquito146870 @redsquito146870 - Twitter Profile

Has anyone built "AI-powered Product Hunt" yet, aka I describe what kind of tool or functionality I am looking for, and it gives me a ranked list of products with detailed context about each. Because I wanna use it if so.

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Julie Zhuo

@joulee

over 3 years ago

Latest collection of tidbits, out to 50,000+ subscribers!

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nader dabit

@dabit3

about 3 years ago

New virtual hackathon happening this month with @Superfluid_HQ + @LensProtocol $10,000 in bounties up for grabs, anyone in the world can participate for free!

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nader dabit

@dabit3

about 3 years ago

By enabling any developer or team to build their own recommendation algorithm, the combination of easier to leverage AI primitives, open protocols, and immutable public data are paving the way for a more personalized and superior user experience (UX) for social applications. With apps like Twitter, TikTok, and Instagram people are stuck with the given recommendation algorithm without any choices or options other than leave the platform if they don't like it. For instance a lot of changes have happened with the Twitter recommendation algorithm. People have complained that they see a lot more clickbait, but the only other option is just the "Following" feed or to leave. In theory, because web3 and blockchain data is public, developers and teams could build their own recommendation algorithms. I said "in theory" because in the past this was not really a thing as this type of system did not really exist before. We're now starting to see some great alternative recommendation algorithms emerge and become available in the @LensProtocol ecosystem, and apps are already starting to pick them up! Here are a few teams working on this from various angles (not inclusive of all teams): 1. @karma3labs - Is a ranking and reputation infrastructure using the EigenTrust algorithm. It enables developers to curate a ranking and recommendation system for their apps based on on-chain data. https://t.co/gLFCZB6g9C 2. @whitebox_build from @0xbasedalex - an open protocol to consume, develop and collaborate on modular, composable, and transparent algorithms, owned by the developers. I think of this as something like an NPM for recommendation algorithms https://t.co/kW6qzQj0pJ 3. @madfiprotocol - creating various recommendation algorithms like a suggested follows API + "For You" API and enabling optionally financial mechanisms allowing users to boost themselves https://t.co/PKJCiOPjUU We have a handful more that are also available or being worked on. Watch this space! It is one of the key differentiators between private, proprietary, and sometimes predatory social networks of the past, and modern social platforms like @LensProtocol

dabit3's tweet photo. By enabling any developer or team to build their own recommendation algorithm, the combination of easier to leverage AI primitives, open protocols, and immutable public data are paving the way for a more personalized and superior user experience (UX) for social applications.

With apps like Twitter, TikTok, and Instagram people are stuck with the given recommendation algorithm without any choices or options other than leave the platform if they don't like it.

For instance a lot of changes have happened with the Twitter recommendation algorithm. People have complained that they see a lot more clickbait, but the only other option is just the "Following" feed or to leave.

In theory, because web3 and blockchain data is public, developers and teams could build their own recommendation algorithms. I said "in theory" because in the past this was not really a thing as this type of system did not really exist before.

We're now starting to see some great alternative recommendation algorithms emerge and become available in the @LensProtocol ecosystem, and apps are already starting to pick them up!

Here are a few teams working on this from various angles (not inclusive of all teams):

1. @karma3labs - Is a ranking and reputation infrastructure using the EigenTrust algorithm. It enables developers to curate a ranking and recommendation system for their apps based on on-chain data.
https://t.co/gLFCZB6g9C

2. @whitebox_build from @0xbasedalex - an open protocol to consume, develop and collaborate on modular, composable, and transparent algorithms, owned by the developers.

I think of this as something like an NPM for recommendation algorithms

https://t.co/kW6qzQj0pJ

3. @madfiprotocol - creating various recommendation algorithms like a suggested follows API + "For You" API and enabling optionally financial mechanisms allowing users to boost themselves

https://t.co/PKJCiOPjUU

We have a handful more that are also available or being worked on.

Watch this space! It is one of the key differentiators between private, proprietary, and sometimes predatory social networks of the past, and modern social platforms like @LensProtocol

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nader dabit

@dabit3

about 3 years ago

who am I mad at?

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nader dabit

@dabit3

about 3 years ago

300,000 in gross bookings, one of the world's largest AI travel planners over 6 million travel itineraries 🤯 if you haven’t used @roamaround_io lately you should definitely check it out, it’s 10x better than before incredible work @Shie_eth