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mleku
1w ago
it's an awful onboarding flow
what they should be doing is something more like, show you global, and prompt you to follow ones you like, and then build out recommendations after that
hm
i'm literally working on a recommendation engine right now, and i know the data system very well, have also written a nostr spider for gathering this kind of info
a kind 1 client with a really good onboarding flow would dominate pretty fast i think, because it retains users
i wish i could persuade my boss to start a project like this, it's just, i don't think the people he fundseeks from would be interested
what they should be doing is something more like, show you global, and prompt you to follow ones you like, and then build out recommendations after that
hm
i'm literally working on a recommendation engine right now, and i know the data system very well, have also written a nostr spider for gathering this kind of info
a kind 1 client with a really good onboarding flow would dominate pretty fast i think, because it retains users
i wish i could persuade my boss to start a project like this, it's just, i don't think the people he fundseeks from would be interested
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Niel Liesmons
@nielliesmons
1w ago
Invites to Communities / Groups will dominate.
And the mEtRiCs might not even notice :winkwithtongue:
And the mEtRiCs might not even notice :winkwithtongue:
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mleku
@mleku
1w ago
i still think that this recommendation engine idea i have will be a killer feature for nostr user retention though... and it can be a service that apps call in the first week or so to get recommendations to populate a recommendation list that discreetly is available to users to click and open
i get it why my boss thinks this is a proper value add for social networks, when i think through my own onboarding experience
it's really not hard to build this out either, although it needs a hefty database that spiders the network and filters it for a compact representation of the data (replies, reposts, quotes, follows, mutes)
well, the idea is in the air, anyway
@Cody Tseng has been implementing my idea of a service that does reverse proxy for you to expose your personal relay to the network,
i get it why my boss thinks this is a proper value add for social networks, when i think through my own onboarding experience
it's really not hard to build this out either, although it needs a hefty database that spiders the network and filters it for a compact representation of the data (replies, reposts, quotes, follows, mutes)
well, the idea is in the air, anyway
@Cody Tseng has been implementing my idea of a service that does reverse proxy for you to expose your personal relay to the network,
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Silberengel
@Silberengel
1w ago
Hmm. Best one I know is @Nusa. 🤔
Nusa, do you think a recommendation engine like that would be useful for publications? Like, click your ten favorite publications and we suggest ten more? That sort of thing?
Nusa, do you think a recommendation engine like that would be useful for publications? Like, click your ten favorite publications and we suggest ten more? That sort of thing?
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Nusa
@nusa
1w ago
I’ve been thinking about this, yes. Have a couple of my own ideas percolating. I also have a demo selective crawler set up to pick from and have some plans to give people previews and selections, essentially saving them from endless test articles.
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mleku
@mleku
1w ago
it's an interesting idea, like @Silberengel has been talking about with improving upon web of trust to count engagement data as well, and then you can add on top full text indexes and machine learning text graph analysis
and then also stuff like noticing idle follows, or follows that a user never engages with
@Pip the social graph guy has been doing some work in this direction also
and then also stuff like noticing idle follows, or follows that a user never engages with
@Pip the social graph guy has been doing some work in this direction also
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Silberengel
@Silberengel
1w ago
mleku
@mleku
1w ago
of course nerds are always great recommenders lol, especially the collector type
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