maz1b

I'm working on MedAngle, the world's first Agentic AI Super App for medical and dental school. You can think of it as literally everything one would need from day one of admission till graduation day as a doctor.

I myself am the first medical doctor and full stack engineer in the history of my country (250 million), graduated as a doctor at age 25, and we have over 100+ users [all of which are medical/dental students and doctors], 10s of billions of seconds studying smarter, hundreds of millions of questions solved, and more.

Our Super App has subsystems including MedGPT, MedAgent, Spaci (our own take on spaced repetition) and much more.

We're bootstrapped, and continuing to scale. If you are in medical school or know someone who is, please reach out!

https://medangle.com

Wow. Makes me see OpenAI in an entirely different light.

Wow, that's a pretty massive decrease in latency, which should unlock some use cases, but the linked web page doesn't exactly make it straightforward to understand the differences between the models.

However, based off my personal experiences with general images models, Google in my opinion is the best for my workflows. Granted, I haven't tried far-east providers yet.

What does everyone else think?

Pretty huge move. Google and their TPUs are looking infinitely more prescient as I think they are on their 7th generation, along with the offshoots it inspired like the LPU and even others, perhaps like Cerebras and their Wafer Scale Engine.

However, based off first impressions, it seems like this is meant for inference side, and not training, which is also an interesting choice.

This made me spit my coffee out! Thanks for helping me start my day with a laugh. No comment otherwise :-P

I had to check the date after seeing the headline, and again after opening the page. Thought it was April Fools.

Regardless, as a doctor and full stack engineer, I'm looking forward to learning more about their methodologies, their approaches, but I don't think this is going to be displacing MRIs or remotely close, based off the cursory initial glance. If their vision is to be able to provide end users with more actionable data with some kind of "low fidelity" medical imaging data that is somewhere above zero and or standard imaging and high fidelity modalities like CT/MRI, then this could be somewhat interesting.

Not a radiologist and not medical advice. Just my two cents.

They've done multiple "evaluations" by third parties, but still, it seems that they aren't being fully transparent. I think the approach is quite interesting and novel, but this feels like deja vu.

I get why they aren't disclosing all the details, but it seems more hype-train-esque to me for this moment. I don't disagree that this could be big.

I've always wondered what that would be like. A fleet of 50 relatively modern flagship smartphones, wiped and retrofitted software wise to act as a homogeneous server, running ubuntu or centos or fedora, something like that.

Deals like these are quite rare, would be nice to know more about how the funding worked, but for customers, what are they doing? Total silence from Groq for a very long time now.

I'm working on MedAngle, the world's first Agentic AI Super App for premed, medical, and dental schools and recent graduates - young doctors.

MedAngle is literally everything one could need, personalized to their curriculum across 4-6 years of medical school. Quizzes, videos, notes, flashcards, reminders, scheduling, performance, search, and more.

Our Super App is comprised of MedGPT + MedAgent + Spaci (futuristic spaced repetition), which serve as layers over our massive collection of features such as the Smart Suite, Learning Library, Clinical Corner, Tested Tools and more.

100k+ users, 10s of billions of seconds spent studying smarter, invite only. Bootstrapped, growing nicely. I lead a team of top medical students and doctors.

Not a headline I ever thought I would see. Kinda crazy how meme stocks and retail hype has led to this.

I think perhaps contrary to popular belief, Mercury choosing Haskell and their early leadership having such a storied experience in it probably played some non-insignificant role in their success.

As a customer of Mercury, it's truly one of the critical companies my toolkit, and I just can't help but feel that their choosing of Haskell made their progress, development and overall journey that much better. I realize that you can make this argument with most languages, and it's not to say that a FP lang like Haskell is a recipe for success, but this intentional decision particularly pre "vibe coding" and the LLM era seems particularly prescient, of course combined with their engineering culture that was detailed in the post.

Really enjoyed reading this. A lot. Reminds me when I was a teenager reading technical blogs in the earlier days of the internet.

BTW, that last line about hiring/commissioning a cartographer, very rad and cool :~)

I still wish they named it something else, but congratulations to the team on what seems to be a good release!

Pricing is also quite surprising, compared to comparable competitors. I guess they have tons of capacity or really want to bring over more people.

It seems to me that Apple is only going to be further increasing the number of price points and "levels" of caliber of devices, from budget/entry level all the way to new heights such as things like iPhone Ultra or Macbook Ultra, because services will be have an even wider net to cast into (If you're buying Ultra devices, you'll probably get AppleCare+, and if you have new apple devices such as the Neo or 17e etc, you'll be more likely to get Apple music or books or fitness or whatnot.

Wow, that is insanely atrocious. I'll look into moving off any remaining domains away from GoDaddy.

Heard it's written in Swift for this native adaptation. That's a good sign.

MedAngle + MedGPT + MedAgent

All in the MedAngle Super App - literally everything a future doctor needs in one place. 100k+ users, 150m+ questions solved, tens of billions of seconds spent studying smarter

https://medangle.com

I really can't believe they discontinued the Pro Display XDR.. what is wrong with them? A company the size of Apple, surely must have the resources to update it every couple of years.

AFAIK, they don't have any deals or partnerships with Groq or Cerebras or any of those kinds of companies.. so how did they do this?

It's never Christmas without a new ruby version.

The ruby::box thing looks pretty interesting, from a cursory glance you can run two simultaneous versions of something like a feature or rollout much more conveniently.

Also being able to do

  if condition1
     && condition2
    ...
  end

Damn. Was hoping Groq and Cerebras would give the giants a run for their money.

I'm working on MedAngle, the world's first agentic AI Super App for current and future doctors. Invite only, 100k+ users, 150m+ questions solved, tens of billions of seconds spent studying smarter.

Didn't expect to find something this wonderful on HN!

Good start to the morning.

I definitely agree. Something about it just seems off.

Would like to see how this holds up with a up-to-date version of Svelte/Sveltekit. Also, missing the comparison of Solid/SolidStart.

oops, typo! S and D are next to each other on the keyboard. thanks for pointing this out

Where's the M4 Ultra/M4 Extreme?

M5 Ultra/M5 Extreme/M5 Super?

Cerebras has been a true revelation when it comes to inference. I have a lot of respect for their founder, team, innovation, and technology. The colossal size of the WS3 chip, utilizing DRAM to mind-boggling scale, it's definitely ultra cool stuff.

I also wonder why they have not been acquired yet. Or is it intentional?

I will say, their pricing and deployment strategy is a bit murky and unclear. Paying $1500-$10,000 per month plus usage costs? I'm assuming that it has to do with chasing and optimizing for higher value contracts and deeper-pocketed customers, hence the minimum monthly spend that they require.

I'm not claiming to be an expert, but as a CEO/CTO, there were other providers in the market that had relatively comparable inference speed (obviously Cerebras is #1), easier onboarding, better response from people that worked there (all of my experience with Cerebras have been days/weeks late or simply ignored). IMHO, if Cerebras wants to gain more mindshare, they'll have to look into this aspect.

As a doctor and full stack engineer, I would never go into radiology or seek further training in it. (obviously)

AI is going to augment radiologists first, and eventually, it will start to replace them. And existing radiologists will transition into stuff like interventional radiology or whatever new areas will come into the picture in the future.