Kei Hayashi

18, founder & GP @localhosthq, physics @ berkeley 🇨🇭🇯🇵

[LocalHost India @localhostIND]

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.

[Hardeep @hardeep_gambhir]

https://t.co/UiOaM907DT

[Kei Hayashi @KechoHayashi]

@amans_twt @localhostIND thanks for letting us know : )

[LocalHost India @localhostIND]

we got some of the most locked in founders from india, all building from one floor in bengaluru.

over the last few weeks, they’ve made some insane progress and built alongside other founders. hear from them.

[Harshit @get_soju]

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

[Kei Hayashi @KechoHayashi]

@localhostIND @whereismyrasam @fromkhojj 🔥

[LocalHost India @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.

[Suhas Sumukh @suhasasumukh]

glad to have @buildonnodeops as our supporting credits partner.

all localhost backed projects and companies now have $30K in infrastructure support.

[Suhas Sumukh @suhasasumukh]

kicked off the founders program today. 30 founders in the room, chosen from 1k who applied.

[Kei Hayashi @KechoHayashi]

@sarvagya_kul @localhosthq @localhostIND @suhasasumukh 🔥

[LocalHost India @localhostIND]

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.

[Gajesh @gajesh]

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 ↓

[Kei Hayashi @KechoHayashi]

@blacktuxedo76 thank you!

[Kei Hayashi @KechoHayashi]

i'm heading to @UCBerkeley this fall!

any current students or incoming freshmen around?

me manifesting berkeley at 5 y/o lol

[Suhas Sumukh @suhasasumukh]

every once in a while, i read something like this in our applications. some people just think differently.

[Kei Hayashi @KechoHayashi]

@marissacodes @UCBerkeley GO BEARS!

[Kei Hayashi @KechoHayashi]

@hardeep_gambhir @UCBerkeley go bears!

[Kei Hayashi @KechoHayashi]

@ashleyyjoelle @UCBerkeley Go bears!

[Kei Hayashi @KechoHayashi]

@khushal_davesar @UCBerkeley go bears!

[Kei Hayashi @KechoHayashi]

@PiticVic @suhasasumukh @UCBerkeley thankss : )