Make the Reel for this sir π
β‘ β‘ β‘ β‘ β‘ β‘ β‘ β‘
Very much agree, not the same app. Very different features.
Not the boss here tho.
Yes!
Tags are freakin' powerful, adapting dynamically to whatever context.
It's the most efficient way to serve niche groups that care about everything form "No Seed Oils" in restaurants to "NSFW" for Nostr Apps.
Group 1 can be the podcast hosts themselves.
- They would still be earning sats for it
- They don't have to go through the hastle of making 2 different versions (with two different identifiers, comment sections, etc...)
Nostr Podcasts app idea:
1. Let users indicate the add sectiions of a show
2. Let all other users listen to the add-free versions (app skips indicated sections)
3. Let zaps flow from the latter to the first group
#OnlyOnNostr
Too many elements for a logo.
It needs to recognisable / readable at very small sizes (think emoji)
People are good at:
- saying whether they DO or DO NOT recommend something
- describing specifically WHY
- selecting TAGS that apply to the product or service
People suck at:
- making up a number to somehow represent all that
#nostrdesign #reviews
https://cdn.satellite.earth/4d03182c500703e4ce327afcbbc5ea42f80819eb4be3ac82e5a5ce4de708147f.mov
Logo Idea for Fanfares πΊ
Wdyt? #logodesign
nostr:npub1ye5ptcxfyyxl5vjvdjar2ua3f0hynkjzpx552mu5snj3qmx5pzjscpknpr I can't seem to be able to save custom quick reactions. I accidentally deleted them all, a while back, and now the save button is disabled.
Same!
Yes! That's exactly what I mean with "length" (oops π€¦)
Yeah, the onboarding of most apps doesn't really help either with that humongous difference.
I'm surprised looking at thread length wouldn't have an influence. That's the first crude algo I'd use to find actual conversation (like this one)
nostr:nprofile1qyv8wumn8ghj7enfd36x2u3wdehhxarj9emkjmn99uq32amnwvaz7tmjv4kxz7fwv3sk6atn9e5k7tcprfmhxue69uhkummnw3ezuargv4ekzmt9vdshgtnfduhszxmhwden5te0w35x2en0wfjhxapwdehhxarjxyhxxmmd9uq3zamnwvaz7tmwdaehgu3wwa5kuef0qyfhwumn8ghj7ur4wfcxcetsv9njuetn9uqzp22rfmsktmgpk2rtan7zwu00zuzax5maq5dnsu5g3xxvqr2u3pd7ad6wwx didn't you have a method for normalizing the effect of follower counts?
You can work with:
1. Diminishing returns: on followers counts, zaps, replies, ...
2. Looking at thread length in the replies as an indicator of real conversation beyond "GM, GM"
I'm loving it more and more each day too.
It's coherent, because it finally can be π»
Main actions right under the thumb at all times is powerful.
Profile lists ftw!
I use my "Never Wanna Miss" list as my default.
Algo's can and will take both discovery and high signal to the next level though. nostr:npub1wf4pufsucer5va8g9p0rj5dnhvfeh6d8w0g6eayaep5dhps6rsgs43dgh9 has a point.
Yup! Most of the common WoT-needs of today don't even need ML.
What I'm curious about is how to let clients give users access those various simple algo's and then run them locally in the client, because DVM's cannot do that as far as I understand.
A small app for man, a giant leap for app-kind! π
Indeed! Don't expect anyone to do more than that online.
Giving other users a trust score on every category of trust isn't doable nor useful in the first place.
1. Humans suck at giving numerological ratings (because we don't know what it means, at aaaall). Best we can do is ordinally rank people which is an even more obvious UX nightmare.
2. Categories are not clear-cut, and therefor cannot be clear.
3. The cost is on the ones providing the information, instead of the ones who want to use it. You cannot gamify your way out of that.
4. How would you even interpret those ratings without algorithms, that could have solved the whole problem without even bothering the user?
And those are just the issues when these WoT ratings would be static, which they can't be. Maintaining them dynamically over time, lol, good luck.
In this case Big Tech might actually be inspiring. They don't bother you with asking Bob how much you he would score Alice on Trust in a relationship setting, they know he's in love with her before he does.
How? Just look at users actions.
Literally every event = an expression of Trust.
Let algorithms compete on recognizing the patterns in those actions and in being useful for specific applications. Some will be crude and basically free when that's good enough, others will be very advanced and pricey.
The data is public. This will happen anyway. Users can willingly share more data when and to whom they want.
How are you planning to compete with opt-in free market solutions that are built on the actions users are already doing?