Thrilled to welcome our newest cohort of Venture Partners to the Contrary family! With nearly 1300 applications, this year was our most competitive yet.
We’re excited to work with you all to meet and invest in the next generation of exceptional founders and companies.
We also
Week 1 learnings from building in YC: focus on building something ppl love nothing else matters. Was too focused on short term revenue maxing and lost the long term vision ⚡️.
One is a beast -- definitely one of the top teams hiring out there right now. Go work
@octolane_ai
and DM if you are interested would be happy to set up an intro!
Day 99 at SF - building
@octolane_ai
Today we started hiring the first founding engineer for
@octolane_ai
.
If you are full stack engineer, young, hungry and get things done no matter what.
Then please email me at one
@octolane
.com
We won't sugarcoat it: joining us means
YC S24's
@SyntraMD
is an intelligent electronic health record that automates administrative tasks for doctors, such as scribing, inventory management, and medical billing.
Congrats on the launch,
@ayushaadijain
and
@anikethkolla
!
🚀 Introducing our 2023 Time Fellows! These trailblazers are gearing up to redefine the future of aging research. Exciting times ahead as they embark on this transformative journey! Check out the faces behind the brilliance. 🌟
#TimeInitiative
#aging
#agingbiology
We are doing our first ever YC Fall Batch.
Applications are due August 27 and the batch starts September 29. If you’re ready to start your company now you don’t have to wait til our Winter batch anymore.
It’s time to build your dreams. Let’s go 🚀
🚀 TIME Fellow Ayush Jain
@ayushaadijain
, CEO of Syntra (
@ycombinator
S24), is building a medical record system to streamline doctors' work and unlock insights from clinics—helping discover how approved drugs and devices can fight age-related diseases.
🔗
Wrapped up a great time
@PacSymBiocomp
! Thank you to
@NIH
for funding my travel and
@_ahmedmalaa
, Marie-Laure Charpignon, Irene Chen, and Anthony Philippakis for funding my conference registration and providing advisory support on the publication!
Day 19:
Startup review. WondercraftAI (
@wondercraft_ai
)
Found on
@ProductHunt
(view image below)
Why I like it: personally gAI for creators seems like such an obvious puzzle fitting together 🧩
While with early stage ideas it’s often Team > everything, this product is doing
If you are attending the 2024 Pacific Symposium on Biocomputing in Hawaii, don't miss
@ayushaadijain
's Jan 7-th talk on our work on using disease-specific hyper-graphs + biological knowledge graphs to uncover potential drug repurposing candidates.
I achieved the best recorded sleep score in history.
Eight months of perfect, 100% sleep.
Spent a year learning how to do it.
Here are 10 habits that fixed my terrible sleep... 🧵
PDFs are satan’s file format.
Almost everyone that builds RAG needs to deal with them - and it sucks.
Solutions on the market are either too slow, too expensive or not OSS.
It should be easier. Which is why we’re open sourcing
Learning how to quantify creativity could be the secret to developing AGI and curing a lot of Age related neurodegenerative diseases. Easier said than done tho!
@Austen
Without a doubt
@octolane_ai
. AI workers to procure the best deals and the team and support is stellar all thanks to
@coffeewithone
. Supercharges everything.
Research Review.
Day 18.
SynBa: improved estimation of drug combination synergies with uncertainty quantification.
The most important question to answer when building a model for drug repurposing is validation:
How can I clinically validate the solution that I am
@TheCreatorsBP
One thing that helps me is to look at life from a different perspective. Go hang out with people in different circumstances and different ages for a day. See how/why they think and operate. It gives you a new perspective
@xprunie
@bindra_dhruv
@SyntraMD
This is exactly why only a startup can solve this problem. Have to grow your moat by solving this for the smaller private practices who feel the pain the most before taking on health systems and enacting systemic change. No big company would take the time to do that.
Day 16 Startup Review:
Omnia by
@PetruzzelliAldo
.
With the rise and advent of AR recently, I have been on the look for more AR companies outside of the field of gaming.
That's when I came across a product that recently launched called Omnia. Super interesting Idea to allow
Stopping the daily startup review and research review. Feel like it’s becoming more of a chore…
Will continue to share when I find cool stuff may be more than once a day may be less.
Want to share more of my thoughts like the og days it was more fun that way 🤙🏽🤙🏽
Day 14 Startup Review:
Kraken (
@krakenfx
)
One line summary: allows crypto traders ease to high volume low cost trades.
Founding story: gamers —> web3 problem solvers
Recent news: Kraken had to pay 30 million dollars in a recent settlement involving the SEC
My take: Proceed
Day 18: Startup review:
AI/ML startup: Aquarium.
@dealroom
stats below:
One line summary: Better embeds data to better train models.
Name of the game: better data better models. Aquarium solves the 1st half of the problem.
Super simple idea with great execution. Excited
Steps to AGI??
How to make LLMs "think better":
Day 4 Research Review
Paper Title: Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
1/🧵:
DAY 17 RESEARCH REVIEW:
Super excited for this one! Really cool preprint that was posted 3 days ago on arxiv.
TL;DR: how do we find repurposing targets by querying an LLM? Combing LLMs and KG.
Super interesting to see what comes out of this.
Could reshape precision medicine
Day 16 Research Review:
Been spending a lot of time pondering how to quantify what makes a good drug synergy target.
How can were represent in silico how two drugs will interact when deployed together?
This is an incredibly difficult question to define an objective function
Day 15 Research Review:
The future of using gAI in chemistry:
Torsional Diffusion for Molecular Conformer Generation.
What is this paper and why do we care:
This paper proposes the use of a diffusion model to essentially generate new molecules with AI, which sets the
2/
For those unfamiliar to research -->
1) research reviews are published every once in a while in journals, usually by prestigious PIs/researchers
2) while boring to write at times, they can be a farm for research citations
Great thread. For the vast majority of ppl early years should be spent on amassing knowledge and connections. Don’t rush into a “big break idea” and lose focus. Ofc there are outliers but don’t be discouraged and see how much validation is real by testing fast.
Unfortunately, most college startups fall under a few common themes, a🧵.
I'm guilty of this too.
1. mental health
2. food delivery (or uber for x)
3. dating/consumer-social variant
4. talent marketplaces/hiring tools
5. studying app/tutoring
6. personal finance for gen-z.
Jobs where human touch matter may never get replaced by AI. Sure I could learn something online but for some people it won’t click unless there is an in person teacher. A better example would be doctors. There is some security in knowing a person is telling u everything is okay.
Day 19:
Research review!
Brain Imaging Generation with Latent Diffusion Models.
One line impact: future of growing medical data is generating it with heuristics like latent diffusion.
Super cool application of a popular diffusion mode!
Would be awesome to see if this