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Hi HN,

We’re working on BioReplica, a platform that lets you create a digital replica of your own biology, based on your DNA, medical records, wearable data, and physiological metrics. Why? Right now, if you want to know how a supplement, diet, or exercise protocol will affect you, you usually have to experiment on yourself and hope for the best. No two bodies respond the same way, but personalization is still mostly guesswork. BioReplica is an early attempt to change that. We build a personal biological model, a simulation that lets you test "what if?" scenarios safely before trying them in real life.

Examples:

"If I start taking NMN, will my inflammation markers likely improve or worsen?"

"Would intermittent fasting affect my heart health risk, based on my baseline data?"

"Is this new nootropic likely to interact badly with my genetics or medications?"

Instead of generic advice, you can start seeing predictions based on you, your genome, your health history, your day-to-day physiology.

We’re very early. Right now the simulations are basic, focused mainly on lifestyle and supplement interventions. But over time, the idea is to make it richer, more data inputs, better modeling, higher accuracy.

Caveats:

Biology is still messy, and simulations are probabilistic, not certainties.

The platform isn't diagnostic or a substitute for real medicine (and shouldn’t be).

Getting the modeling right is hard, and we’re very upfront about that. The long term goal is for these replica's to be used for pharma simulations. In clinical trials today, most failures happen late, billions spent, and sometimes only then do we learn that a drug doesn’t work or has hidden risks.

Still, we believe even imperfect simulations, if used carefully, can help people make smarter decisions about their health.

If this idea resonates (or if you see flaws we should be thinking about), we’d love feedback. Learn more on https://bioreplica.ai/landing

Comments URL: https://news.ycombinator.com/item?id=43817933

Points: 1

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Article URL: https://eli.thegreenplace.net/2025/sparsely-gated-mixture-of-experts-moe/

Comments URL: https://news.ycombinator.com/item?id=43817927

Points: 1

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Article URL: https://evanzhoudev.github.io/llm.pdf/

Comments URL: https://news.ycombinator.com/item?id=43817922

Points: 2

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Article URL: https://www.youtube.com/watch?v=udAL48P5NJU

Comments URL: https://news.ycombinator.com/item?id=43817918

Points: 2

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Now there is a Dockerfile and docker-compose.yml file so that anyone can easily setup the app inside docker.

Comments URL: https://news.ycombinator.com/item?id=43817862

Points: 2

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Article URL: https://writing.nikunjk.com/p/stop-solving-champagne-problems

Comments URL: https://news.ycombinator.com/item?id=43817860

Points: 1

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Article URL: https://smarterchild.chat/

Comments URL: https://news.ycombinator.com/item?id=43817836

Points: 1

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Explore industry moves and significant changes in the industry for the week of April 28, 2025. Stay updated with the latest industry trends and shifts.

Article URL: https://www.nasa.gov/missions/mars-science-laboratory/nasa-orbiter-spots-curiosity-rover-making-tracks-to-next-science-stop/

Comments URL: https://news.ycombinator.com/item?id=43817827

Points: 3

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I made this mostly for myself, but I imagine it could be useful for others. Do y'all have any projects you'd like listed there? Any smarter ways to visualize these timelines to help predict future release dates?

Comments URL: https://news.ycombinator.com/item?id=43817819

Points: 1

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Article URL: https://www.econtalk.org/will-guidara-on-unreasonable-hospitality/

Comments URL: https://news.ycombinator.com/item?id=43817806

Points: 1

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Article URL: https://cleantechnica.com/2025/04/26/there-is-one-clear-winner-in-the-corn-vs-solar-battle/

Comments URL: https://news.ycombinator.com/item?id=43817787

Points: 1

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Article URL: https://mcp.scira.ai/

Comments URL: https://news.ycombinator.com/item?id=43817749

Points: 1

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Hi all!

I'm looking for recommendations on where to start with learning systems programming. Ideally, I'd like to be able to get to a point where I can make a living doing it, but currently I just want to do fun stuff to build up curiosity around it.

Here's all of the "low-level" stuff that I know so far / imagine being useful. I... - Have enough of an understanding of networking to write a toy HTTP server on top of TCP - Know enough C to write some basic terminal tools + window applications if needed (on Linux) - Love terminal tools like neovim + several core utils - Have dabbled with Arduino/ESP32 & communicating via USB over the serial port with a host pc - Am pretty decent with Python, and have been using it for like 10 years

Some things that I've been curious about in the past - Converting parts of python libraries from pure python to C/C++ bindings for better performance - Writing a terminal based file manager to work with Google Chrome - Actually contributing to chromium (my laptop is a potato though so all of my builds fail)

About me: I'm in my junior year of uni studying CS, and I've been able to make money doing web dev for the past 2 years of my degree. For many reasons including curiosity and the fact that AI makes me feel replaceable doing many frontend + backend tasks, though I'm very curious about getting into lower level programming.

Any help would be greatly appreciated!

Comments URL: https://news.ycombinator.com/item?id=43817728

Points: 1

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Article URL: https://distill.pub/2017/momentum/

Comments URL: https://news.ycombinator.com/item?id=43817726

Points: 2

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Article URL: https://medium.com/@level09/build-the-future-an-ai-powered-natural-language-cms-with-enferno-0101eb77cd80

Comments URL: https://news.ycombinator.com/item?id=43817720

Points: 1

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Article URL: https://www.newscientist.com/article/2470908-light-has-been-transformed-into-a-supersolid-for-the-first-time/

Comments URL: https://news.ycombinator.com/item?id=43817671

Points: 2

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Article URL: https://www.maxhertzberg.co.uk/background/politics/stasi-tactics/

Comments URL: https://news.ycombinator.com/item?id=43817664

Points: 3

# Comments: 0

Hey HN,

I would like to extract structured information from captured audio on a device that is not too expensive (a small LLM would be an option, I got an old NVidia 1660 Super with 6GB VRAM).

OpenAI Whisper could be used to get the audio contents as text, but I don't really know how I could reliably extract the information in a structured way. There is always a "purpose", which is selected out of let's say 10 possible purposes and "required data", which is depending on the purpose and composed by key value pairs, that also have predefined values.

An example (spoken text):

Please apply for leave from 1st November to 8th november. Result (structured data):

{ purpose: "apply for leave", data: { start: "2025-11-01", end: "2025-11-08" } } What are my options to do this in a reliable way that can match different purposes with different data by "best match" approach?

Comments URL: https://news.ycombinator.com/item?id=43817651

Points: 1

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Article URL: https://en.wikipedia.org/wiki/List_of_extinct_dog_breeds

Comments URL: https://news.ycombinator.com/item?id=43817629

Points: 2

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