Jay Liew
Boston, Massachusetts, United States
3K followers
500+ connections
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About
I'm building software + AI for clinicians.
I've been in the early-stage startup…
Publications
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The Probability that a Matrix of Integers Is Diagonalizable
The Mathematical Association Of America
Co-authored with Dr. Andrew J. Hetzel, and Dr. Kent E. Morrison.
Patents
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A robot controllable by a portable device, the robot including a head configured to removably retain the portable device, a support removably mounted to the head, and a base mounted to the support, the base including a first wheel coaxially aligned with a
US 9,539,723
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Explore more posts
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Morgan Cheatham
A second order effect of unlimited, free, and personalized AI medical advice will be a massive surge in "direct access" diagnostics – i.e., paying cash for lab or imaging tests without the need for a physician's prescription or referral. While this trend isn't new, AI-powered self-triage will accelerate it dramatically. Potential third order effects: – Greater strain on diagnostic resources - Continued hyper-specialization of medicine It will be interesting to see which medical specialties survive and thrive under this paradigm.
14027 Comments -
Ammar J.
Solve for information asymmetries! Architecture & Civil Engineering - Layout interpretation ~other industries: Healthcare - <Prescription> interpretation Financial Products - <Subject to market risks documentation> interpretation Loans - <Fine print> interpretation There’s going to be a slew of startups commercialising this year with a value prop of simplification using AI
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Kshitij Grover
Just this week(!), OpenAI raised ~$10B, poolside raised $500M... and 5 other companies - across biotech + space + healthcare - raised >$100M. So why would you want to join the team @ Orb? Why work on billing software? The market gives us the answer - every significant shift in computing has led to different companies being built, and this is no different: * A couple years in, it's pretty obvious now that AI has real value to the consumer. Each AI company looks super different than other software companies: substantial COGS, a ton of product lines, usage as the fundamental unit of their pricing, pricing structures changing every month. This isn't just a billing problem; companies compensate sellers differently, finance teams forecast differently, users buy differently. Orb underpins the whole shift. * There are two fundamental things a company needs to do. It needs to (a) create and (b) capture value: EPD and GTM, respectively. Time on creating value is well spent - that's innovation. The time you spend bringing your value to market is extremely high ROI but it can be a huge time sink spent doing undifferentiated work. Orb has two key guiding principles: you should more time on building your core product, *and* the time you spend going to market should be spent only on what's unique for your business. Not integrations. Not data infrastructure. Not accounting infrastructure. If done right, that's an incredible point of leverage → come help us do it right.
853 Comments -
Brett Wilson
Many assumed that the industry would be well on its way to AGI or superintelligence before AI model builders’ efforts to take advantage of scaling laws might hit a wall. Recent headlines are chipping away at that assumption. One question I've been getting in my inbox: is this the era of diminishing returns for AI? We don't think so. Even if an avalanche of new clusters and synthetic data fail to deliver significantly better model performance, there are good reasons to believe that AI is still going to become orders of magnitude more powerful in the coming years — powering a new generation of startups and ultimately productivity growth and positive benefits for mankind. In fact, with agents and reasoning just beginning to scale and thousands of industry-specific models coming online, it's about to get really exciting. Read our latest blog post on the topic: https://lnkd.in/gFhniNX8
1559 Comments -
Daniel Darling
"If you're relying on AI not becoming 100X better, you're about to get steamrolled." -- Jason Warner, ex-CTO of Github and CEO of poolside How we code and build software is being rapidly transformed with AI. Sitting down with Jason the future looks clearer. Over the next 5 years: 🌏 All 7 billion people can code 🏗️ Search bars will spit out software 🔋 AI will generate its way out of data scarcity 🌩️ Foundation models to become cloud companies I unpack the 5 year frontier of software development in Future of Code: AI-led Software Development https://lnkd.in/gze2QSbu #AI #Software #Code
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Giovanni L.
How would you value this proposition as a founder or VC? My suggestion is to consider the MFE: Minimum Feasible Environment. Here’s why this could be a good fit: 1. Minimum: Like MVP, it emphasizes starting with the bare essentials. 2. Feasible: This term suggests practicality and achievability, which is crucial when creating a new environment. 3. Environment: This broadens the concept beyond just products, encompassing the entire ecosystem or setting. 🚀MFE would represent the most basic version of an environment that can still function and provide value. It allows for testing core concepts without overinvesting in unnecessary features or complexities. 🚀Just as an MVP helps validate business ideas with minimal initial investment, an MFE could help validate environmental concepts or designs efficiently. 🚀This approach would enable quick iterations and improvements based on real-world feedback, much like how startups refine their MVPs. In this case, $TSLA backers where buying into the accompanying architectures needed to support its core product (data centers for FSD).
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Dr Keryn Johnson PhD MSc BSc
Movac KiwiNet Deep Tech is difficult because you do not comprehend 95% of the universe using the Standard Model of Particle physics. Either learn that measurement is flawed due to human bias or experience and unbiased state through transcendence experiences corresponding to Christ consciousness. The physics of life is based on LENR and not the Standard Model of Particle physics. Unfortunately, scientific research has been captured by the materialism perspective. This is mutually exclusive to the light observed in consciousness. Physics of life. Deep Tech https://lnkd.in/gKqC3PAR Gateway into the aromatic ring Faraday cage system. Time to see the light 😁.
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Will Ahmed
7 RECOMMENDATIONS FOR HARDWARE STARTUPS It’s hard to understate the difficulty of the v1 launch of a consumer hardware company. I see a ton of new HW startups coming out. Here are some counterintuitive recommendations… 1) Target a small market for v1, not a large market. You need a small number of people to love your product and this will earn you the right to build a v2. You have to understand your v1 will not make you a successful company. Your v1 needs to prove that you deserve to exist in the first place. In the case of WHOOP, we started with pro athletes who were willing to put up with our v1’s short battery life and flaky Bluetooth connections because they so desperately needed Sleep and Recovery data. A broad consumer base would have rejected it. 2) Be great at no more than 1-3 things. If you try to be great at more than that, you will build a hardware that is mediocre at a wide range of things. You won’t think it’s going to be mediocre, but it will be. 3) You want a small launch. Not because you want small sales but because you want to have a steady ramp. It’s much better to do 100k of sales steadily over 12 months than in 2 months with a huge drop off. Keep in mind you need to manage your manufacturing partner and that there’s nothing better or more efficient than steady and predictable. 4) CAC is your enemy. Referrals are gold. The magic of referrals is that they signal high NPS and they help you grow steadily. Again everything that helps you have a steady HW manufacturing plan is good. Building a referral program for v1 launch is a good use of your time. 5) Be excellent at Software. Turns out being good at both Hardware and Software is a hard thing and something that your BIG COMPANY competitor is actually not great at (excluding Apple here). For some reason, there’s such a magnifying glass on the Hardware development, that Software is then overlooked by consumer startups. Don’t make that mistake. You can be great at both. 6) You should spend an unreasonable amount of time and money on ONE aspect of your Hardware. Could be the design or a technical breakthrough. But something needs to be SPECIAL. In our case, we designed a modular battery pack that allowed Whoop to be charged without taking it off your body. This made our development timeline much longer, but it allowed us to achieve something that no other wearable has achieved since: 24/7 health data. 7) Finally, have an unrealistic belief in yourself and your team. You are not supposed to succeed and the odds are stacked against you. Building hardware takes confidence and you’re up against big players who will rip you off. We went so far as to leave a message for our competitors on our circuit board (pictured below). In the case of Amazon and others, the prophecy came true. If you’re building consumer hardware, I wish you nothing but success. It will be super hard, but super rewarding. Good luck 👊🏼 #consumer #hardware #wearable #startup #whoop
4,785213 Comments -
Gabriel Jarrosson
YC released its 'request for startups' last week, and a lot of the areas are not what you might expect... Here’s where they’re seeing the most opportunity to build (and why) over the next few years: - Government software - Public safety technology - Manufacture in the USA - Stablecoins 2.0 - LLMs for chip design - Fintech 2.0 - New space companies - AI-aided engineering tools - One million jobs 2.0 Which YC 'request for startups' are you most-bullish on?
528 Comments -
Brendan Wallace
r/PropTech, 2018 someone asked: "Anything new and interesting in prop tech lately?" Didn't get much of a response. I think I can help answer... If I was going to answer this in 2018, I'd say we were seeing a lot of exciting things around residential fintech. Our residential fintech investments have been premised on the fact that there's these inherent inefficiencies, these archaic and anachronistic processes, around buying and selling real estate in the U.S. and all of the ancillary financial products you have to buy. This was of course affected by rising rates and lessened home affordability. I actually think now more than ever is an exciting time in proptech, because difficult times for the real estate industry (and it's been very, very difficult over the past few years) have totally opened up the industry to seeing the value in adopting technology. This adverse environment has totally thrust this imperative to become innovative (which is something the real estate industry has historically not been good at) front and center onto the real estate industry. I think that attitude shift is going to make for a really exciting time, and it's going to lead to some amazing new companies being born, doing everything from the proptech classic of "digitizing pen-and-paper processes to make them more efficient" to building entirely new real estate businesses on the backs of data and technology -- much like we saw Lineage do with cold storage and logistics. #proptech
775 Comments -
Rohit Mittal
Messages poured in from founders who raised a lot but didn’t make anything personally. Below are a few I heard: - $150M at $450M - founders made $0, didn’t sell in secondary, didn’t get anything from the sale - $350M at $750M - founders sold $4M-$5M in secondary but $0 from the acquisition (investors didn’t make their money back) - $100M at $250M - founders sold $2M in secondary, no money from exit Always best to raise what you need. Overraising thrills but eventually kills. Obligatory Silicon Valley clip: https://lnkd.in/gpDpbriY
132 Comments -
Tara Tan
650,000 artists are leaving Instagram in droves after Meta announced it would use public posts to train AI models starting June 26. With no way to opt out, many creatives are switching to Cara, a new app for artists, led by photographer Jingna Zhang. Cara has seen explosive growth, from 40,000 to 650,000 users in just a week. It strictly bans AI-generated content and uses Glaze, a tool to prevent style mimicry in AI training. While 650,000 users is an impressive 20x leap in user growth, it’s a drop in the ocean (0.03%) compared to Instagram’s 2.4 billion active users. In comparison, Meta's microblogging app Threads, launched as an alternative to X post-Musk takeover, gained over 100 million users in less than a week after its launch in July 2023. This disparity highlights the monumental challenge Cara faces in attracting more users away from established giants. But — tiny stones. There are signs that creatives are just tired of being swept under the rug and want these issues addressed. Cara's FAQ states that AI-generated work isn't allowed until "rampant ethical and data privacy issues" are resolved. The question remains: can the Cara community come to a decision around a suitable resolution? Just like small stones can trigger an avalanche, today's developments could lead to profound changes. What do you think the future holds?
231 Comment -
Arash Amini
There’s clearly nowhere else on earth better for building new ai tools than Y Combinator. But what I’d like to do, however, is help make Charlotte the hub for using new ai tools within all the other industries. There will always be more use cases for any kind of software versus the actual number of tools. Think of photo editing or web editing or word processing. So when you look at the insane explosion of ai tools, you have to wonder if there will be millions of applications? And when you think about the new era of startups that leverage them at their core (creating internal software, field customer inquiries, all of marketing) these startups will be so capital efficient that’ll out perform many others. How do you think Al will change business?
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Shaunvir Sidhu
Health and Wellness is a wave, and integrated care will be (and already is!) the defining characteristic of most winners. Many DTC healthcare companies are putting money into Meta/Google, and getting patients out. Something similar is possible at a Doctor's office, with a significantly lower CAC. Put in resources, get patients out. I think this is a compelling distribution channel for a lot of wellness companies--Pharmacies, Gyms, Nutritionists, Therapists, Longevity etc. Because if you're a healthcare company, chances are the people who you can impact the most (and who may be the most motivated to use your product!) are those at the Doctor's office. Yes it will be non-trivial to set up distribution through clinics... but those nuances are just a barrier to entry for your competitors. The rise of multi-clinic operators makes this extra powerful right now.
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