Finding the right soundtrack for a scene is still weirdly hard.
Adithya is trying to fix that.
Introducing taan, it watches your video and generates music around how the scene actually feels.
we got some of the most locked in founders from india, all building from one floor in bengaluru.
over the last few weeks, theyโve made some insane progress and built alongside other founders. hear from them.
A year ago, I wanted to buy a customisable desk gadget.
It didn't exist. So I started building it.
Meet DOKIDEK
3 screens, open platform, runs whatever you want.
https://t.co/cJLz3yqrP2
@localhostIND
meet armaan (@whereismyrasam), he has been cooking food since he was 11 years old.
now he is building khojj (@fromkhojj), tracing stories through food, art and culture and turning spaces into dinners with artists.
first ever chef at localhost.
let's see what he cooks.
meet Anindya (@anindyadeeps), he is building https://t.co/ny7e5wVGag
a co-pilot and an unified platform for early stage drug discovery. he just got into the localhost founders program.
3 months, uncapped $$ to build from blr.
let's see what he builds.
Wake the world's sleeping compute.
Look at the Mac nearest to you. What's it doing?
Probably nothing.
There are 100M+ Macs with Apple Silicon out there. Apple quietly made them *really* good at inference. A $3k Mac runs a 60B model at 30 watts.
Most sit idle most of the day.
Meanwhile every AI API call passes through three layers of margin before reaching the hardware. We call this the Inference Tax.
We got curious: what happens if you connect idle Macs directly to inference demand?
This is Darkbloom. Private inference network for idle Macs.
darkbloom [dot] dev -- paper + code open.
Reply for invite + free credits โ