folk - the AI in your texts that gets stuff done
by•
Folk is your AI friend that lives in any messaging app: iMessage, Telegram, Discord, and more. It joins meetings, plans your date, knows where you are, and gets smarter with every conversation. The longer you use it, the more it knows you. And now it's multiplayer, so you and your friends can team up and reach your goals together.
Replies
Build Check
hahaha! the video made me laugh but I'm also impressed by the potential of Folk. Wish you all the best Arlan
folk
@german_merlo1 arlan is currently napping (took the night shift, im taking the morning shift lol), so on his behalf: THANK YOU!! we really put effort into that video and comments like this make all the time we spent worth it.
@german_merlo1 thanks so much for ur support!
Feather
yeah my dude, this is sick! go @arlanrakh!
folk
@arlanrakh @jayreno thank you for the nice comment! we have so many more features in store
@jayreno thanks a lot jay!
Really enjoying the uptick in services that live in iMessage. One thing I've noticed with all of them - folk included, I'm afraid - is that latency varies wildly... like, sometimes it'll start responding as soon as I send a message, other times - like right now, as I stare at my phone - I sent a message minutes ago and it's not even typing, but it DOES show "read".
Is this endemic to iMessage's infra? what's up with that?
also, @arlanrakh - what's folk powered by? you down to give us a peek under the hood?
congrats on a highly successful launch, thx for the hunt, @garrytan !!
folk
@arlanrakh @garrytan @grey_seymour thank you for the sharp comment!
the read fires instantly because thats handled the second your message lands. the silence after is on us unfortunately, not apple, behind that read your folk is sometimes waking its cloud computer, pulling memory, or already opening the browser. we were thinking of dropping in little "on it, pulling your data" notes, but they clutter the imessage thread.
under the hood, everyone gets their own 24/7 cloud computer with a real browser and a knowledge-graph memory, and we route across frontier models.
if you have any questions definitely let me know
@grey_seymour hey grey, fair call on the latency and you're not imagining it.
the read receipt and the reply are two different pipes. "read" is imessage acknowledging delivery. the actual response has to wake your folk's computer, load your session + memory, run the model, then send back. if the sandbox was cold (nobody texted you in a while), that wake-up can take 2s before you even see typing. when it's warm, it's basically instant. w
and thanks for the kind words on the launch, means a lot.