
ai + bio + modern finance / @starknet fndn
dxb
Joined June 2017
- Tweets4.1K
- Following659
- Followers7.6K
- Likes21.2K
Krinza retweeted
There’s a misconception that a successful launch video needs to cost tens of thousands of dollars and feel like a high production commercial. But @FarzaTV has a different approach.
Farza is the founder of @heyclicky and previously built Buildspace, one of the largest online schools for people working on their own ideas. He’s been making videos for over a decade, and today his posts regularly get millions of views. Rather than treating launches as rare, high-stakes moments, he’s made them part of the everyday process of building a company.
Farza sat down with YC’s @aaron_epstein to share his playbook for turning demos into stories people actually want to watch. He breaks down how he scripts videos that still feel off the cuff, why founders should launch constantly, and and how to figure out which channels actually convert.
01:44 — Launch Constantly
03:38 — Start Shipping Demos
05:02 — Show the Process
06:07 — The Clicky Launch
07:43 — Write a Hook That Stops the Scroll
10:30 — Why Farza Scripts Every Video
12:04 — Designing the First 10 Seconds
15:15 — Demo-Driven Development
17:25 — You Have to Take a Thousand Shots
20:48 — Farza’s Formula for Videos That Convert
23:01 — Turning Demos Into Stories
24:53 — Show What You're Actually Building
29:11 — Finding Customers on Social Media
31:02 — Which Platforms Actually Convert?
39:01 — Why Farza’s First Hire Was a Filmmaker
40:49 — The Video Stack
45:41 — The 30-Day Launch Challenge
lost a childhood neighbor to cancer yest. we grew up on the same floor. she was only 26.
we get so used to celebrating the headlines, the breakthrough tweets, the raises. then life hits and you see where things really are
still believe in a world where i don’t have to lose ppl to cancer anymore. soon, please.
Krinza retweeted
Today, we’re announcing an open call for guest investigators in life sciences. Over 8–12 weeks, guest investigators will work directly with my team and other Anthropic researchers to produce analyses and tools for their work. We’ll run our models and harnesses, at no cost to them. We’ll work together to open-source the resulting data, artifacts, and code, and write preprints about what we find.
We want humans to remain at the center of scientific discovery, deciding what questions to pursue, and how to pursue them. Those decisions are not ours to make alone. This open call is part of our ongoing efforts at Anthropic to support researchers and accelerate scientific discovery.
I’m looking for principal investigators and their research groups at academic institutions, nonprofits, or government labs, working in causal human biology, structural and computational molecular biology, medicinal chemistry, drug discovery, and clinical science.
Applications are open for about 14 days: anthropic.com/news/open-call…
drug development is two problems stacked on top of each other
1. scientific
2. operational
labs are now full stacking the operational layer which is where the next maturity curve is.
We’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development.
Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients sooner.
Welcome @ashokaraj_ and team!
openai.com/index/openai-to-a…
inference is becoming a commodity / commodities need brokers.
Getting your inference right shouldn't be hard.
@useRouterPlus (YC F26) is live: the right model and provider for your workload, at the best price.
check out : routerplus.com/capacity
Krinza retweeted
Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are:
• Proprietary data
• Network effects
• A physical component
a truth hidden in plain sight: every big tech and frontier lab is going to become a bio company
- google: demis' alphafold & isomorphic
- meta & microsft: esm & bioemu protein models
- nvidia: bionemo software stack for biochemical models, joint lab with eli lilly
- openai & anthropic: both making the rounds about breaking into bio, strong bio reasoning models, wet lab
- elon's empire: likely crossover between neuralink and xai (eg controlling ai with ur mind)
- apple & amazon: not as frontier, but consumer health devices, onemedical acquisition, pharmacy
mastering the most complex machine created by nature/god (the human body) is the ultimate test of superintelligence
someone check on sheldon cooper
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
PMs will soon realize they need to redo their pricing models. agents don't buy seats. they make 1 call and that's it. we are gonna see the monthly subscription get unbundled into per call pricing
Introducing OpenSource Clay killer
- 85% cheaper than clay
- Most accurate on people-search bench
- 25x faster
- Run GTM directly in claude code or codex
Try it at treg.to/people-search
Repo link below 👇
why i dig @cosign is bec AI is going to make the world more nepotistic, not less
meritocracy ran on signals that were expensive to fake. now every stranger looks brilliant on paper.
so we go back to the oldest filter there is. who vouches for you. the future of opportunity looks a lot more like 1850 than 2015
hopped on the @a16z pod with @eriktorenberg, @omooretweets, @joshelman to chat about @cosign
but, what is a Cosign?
It’s a small slice of your reputation- your personal credibility- attached to a person you want to vouch for.
A Cosign aims to capture what a résumé or a generic connection cannot: the strength and meaning of a relationship.
We have three core endorsement prompts:
- who shaped your career?
- who is someone you would work with anywhere?
- who is a person to watch - someone you think is going to be a star, and the world doesn't know it yet.
We want to make belief in someone more specific and useful.
Let's see if it works 😅
Would love any early feedback
Krinza retweeted
In this episode of First Principles, we'll learn about asteroids, the telescopes that find them, and the satellites that protect us against them.
✧
In 2004, astronomers discovered a new, 60-million-ton asteroid hurtling towards Earth.
They scrambled the world's best telescopes, traced its path in the sky as accurately as they could, and concluded that the asteroid, 99942 Apophis, had a 2.7% chance of causing "regional devastation" here on Earth.
Today, that estimate has been revised down. We now know that Apophis will make its closest pass on Friday, April 13th, 2029, missing Earth but only just barely: the asteroid will pass closer than satellites in geostationary orbit, and will be visible to the naked eye.
Exactly how we know that — and what we would do if we determined an asteroid really *was* heading our way — is the focus of today's episode.
In this episode, we'll visit the telescope that discovered Pluto, one of the biggest optical reflecting telescopes in the world, and the factory floor of @AstroForge, a company building satellites for asteroid mining and planetary defense.
Special thanks to @MattGialich, whose connections to Lowell Observatory made this episode possible — and whose meteorite collection is the envy of space nerds everywhere.
✧
00:00 — Asteroids & Apophis
1:08 — Pluto Discovery Telescope Overview
1:57 — Pluto Discovery, Tracking
2:34 — Pluto Discovery, Optics
3:38 — Pluto Discovery, Sensor
5:06 — Lowell Discovery Telescope Overview
5:24 — Lowell Discovery, Tracking
7:08 — Lowell Discovery, Optics
8:07 — Lowell Discovery, Sensor
9:35 — Driving the Lowell Discovery Telescope
11:26 — The @AstroForge Satellite Factory
13:46 — How AstroForge Deflects Asteroids
14:49 — AstroForge 1.5 kW Laser Demo
















