Ashish Jha

Founder & CEO @nativ_app (@speedrun 4)
ex-AI Lead @revolut @xyz_reality @tractable_ai
Author - 4 AI books @PacktPublishing @ManningBooks
@a16z SR Scout 🧢

[Ashish Jha @arj7192]

sleep coding

[Kite ML @trainrobotsfast]

Training your robot should be easier than training your dog. Until now it took weeks, a PhD, and plugging together many tools. Today this became much faster⚡️

Book a demo now ⬇️

[Ashish Jha @arj7192]

@trainrobotsfast 🚀🚀🚀

[a16z speedrun 🧊 @speedrun]

SR007 APPLICATIONS ARE OPEN NOW

If you're building the next great company, we want to give you up to $1M in funding and $5M+ in credits, plus the most powerful launch platform in tech.

Apply before 11:59pm PT on May 17, 2026.

It only takes 5 min 👉 https://t.co/dd7LxOSRGO

[Artin Bogdanov @ArtinBogdanov]

Today, we’re opening @sunapp_ai to the public.

We’ve been building this not so quietly during @a16z @speedrun.

Audio used to be something you search for.
Now, you generate it.
Podcasts. Audiobooks. Courses.
Any topic. Any length.
Ask questions as you listen.

And if you don’t know what to generate, SUN knows what to play.
This is a new era of audio.

Download it and experience the magic!

Link below 👇

[Ashish Jha @arj7192]

@sony_piorek soooo relatable!

[Ashish Jha @arj7192]

don't you use ai at work? you're fired
don't you use ai in interviews? you ain't hired

its interesting to observe the shift from ai-aversion
to ai becoming a passport

and heading to a phase where we have too much of it

hegelian dialectic in motion

[Ashish Jha @arj7192]

we're live on the official MCP Registry, PyPI, npm, and 10+ directories

if your product ships in more than one language, this is the workflow change you've been waiting for

first localization MCP
go try it!

https://t.co/7JiHExAyRS

[Ashish Jha @arj7192]

hot take:
the localization industry has a $50B workflow problem disguised as a translation problem

we just shipped something that proves it

@nativ_app is now an MCP server

your AI editor can localize your app as you code

here's what 5 days of work looks like in 5 seconds 👇

[Ashish Jha @arj7192]

setup:

"nativ": {
   "command": "npx",
   "args": ["-y", "nativ-mcp"],    "env": { "NATIV_API_KEY": "your_key" }
 }

paste into Cursor, Claude Code, or Windsurf config

that's it
auto-installs

works with anything that speaks MCP

https://t.co/586rj4DaA4

[Ashish Jha @arj7192]

early on, a big customer told us something interesting:
“anyone can translate with LLMs now
the real value is reasoning & matching it to what we've already approved"

we listened

@nativ_app now supports:
-translation memory matches
-TM references
-back-translation
-rationale

https://t.co/5RJMoTOeWS

[Ashish Jha @arj7192]

autoresearch on mac/mps

https://t.co/SRxGgAB9OG

[Andrej Karpathy @karpathy]

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:

- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)

The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.

https://t.co/YCvOwwjOzF
Part code, part sci-fi, and a pinch of psychosis :)

[Ashish Jha @arj7192]

nativ CLI is here

@nativ_app

https://t.co/7JiHExAyRS

[Ashish Jha @arj7192]

@Screwfix Bingo.

[Ashish Jha @arj7192]

screwfix is the male equivalent of a spa day

[andrew chen @andrewchen]

Final reminder - last week to apply:

A16Z SPEEDRUN ALPHA is for recent grads and college students who want to start a company but are pre-idea / pre-product

details:
- $20K equity-free upfront to start building
- up to $250K investment when you finalize
- automatic final interview for a16z speedrun, with up to $1M investment
- 8-week, in-person experience with a kickoff retreat, founder AMAs, and small-group dinners alongside the a16z speedrun community
- targeted to early-career highly technical founders

We stayed Alpha bc its a time of great change in the startup community and in the job market. And we know that most of the best founders don’t start with a perfect idea. They start with curiosity, talent, and the willingness to build things until something clicks.

Some of the most important companies of the last decade started this way:
- tinkering with side projects
- hacking on open source
- building weird prototypes with friends
- exploring a space before the opportunity was obvious

The goal of Speedrun Alpha is simple:
find exceptional builders before the idea is fully formed.

Instead of asking you to show up with a polished pitch deck, we give you:
- time
- community
- mentorship
- and just enough capital to start experimenting.

Just show up with technical ambition and curiosity. You spend the summer with us on the a16z Speedrun team exploring ideas, building prototypes, and talking to users. By the end, if something interesting emerges, we help you turn it into a real company.

The kinds of founders we’re looking for tend to look like this:
- engineers who can ship fast
- builders who have shipped side projects before
- hackers who like learning new systems quickly
- people who would probably start companies eventually anyway

We’re intentionally targeting recent grads and college students as a bet on the future.

If that sounds like you — or someone you know — this is the last call.

[Ashish Jha @arj7192]

pip install nativ

https://t.co/YxqmYYm6VK

@nativ_app now available as a python lib!