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Adriel
88 posts
Juno (@junocompanion) is the AI personal health assistant for the 1B+ people living with chronic illness.
Founders @isaactolley_ & @marshalljgould both grew up with chronic conditions and spent years waiting for answers.
6 months in, Juno now supports 80,000+ people globally.
ycombinator.com/launches/QT7-j…
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if you’re a founder in SF who loves poker
and want to meet other cracked founders in the city
come to the @slashapp office poker night hosted by @jacob_bulbulia and me on May 16th
professional dealers, food + drinks on us
Let me know if interested
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Adriel retweetledi
Kuli (@kuli_ai) is the AI coworker that gives marketers their time back and makes them 10x more efficient. It watches all videos on socials to find the next trend and gets work done.
Already live at Fortune 100 brands, it plans and runs their campaigns with creators.
Congrats on the launch, @maradoh22 & Jonathan!
ycombinator.com/launches/QCG-k…
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Building a startup is lonely.
Hosting a poker night in SF this week:
• 100+ founders & builders
• A few who are already iconic, many who will be
• Winner gets VIP World Cup tickets (USA vs Turkey)
Want to join? Link below / DM me
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won my first hackathon among 5000+ participants 🥳
Paul | Testeur IA@paulentreprenor
75% of people fear public speaking more than death. So I built an AI coach that watches you speak and tells you exactly what's wrong. Voice. Body language. Script. 100% vibe-coded with Gemini 3 in Google AI Studio for the @GoogleDeepMind hackathon. Here's AURA 👇
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We're coming out of stealth to announce our cyber defense research lab.
We are exploring data and post-training techniques to build superhuman cyber defenders.
Our mission is to make sure the West always wins.
The last 3 months we've built an automated data pipeline to create training data from 80k CVEs (aka public vulnerabilities).
Our next topic? Post training a model that's better at fixing all the vulnerabilities in your codebase.
Like really fixing them.
Not saying it's secure when there are still ways to exploit them.
Here are the questions that keep us awake at night:
How do you train a model to defend without improving its capabilities to attack? What's the right reward? How to measure the defense capabilities? How do you create synth training data that reproduces real systems? What kind of access do you give an ai cyber defender? How far can you trust it?
If you know insanely good cyber experts (red team, blue team, CTF aficionados) or ML engineers (synth data generation and post-training models), send them my way.
We need to make models far better at defending.
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hosting the "dropout graduation" in SF on may 30th
i left school after my freshman year to build. never had a proper graduation until dropout graduation. commencement speaker to be announced soon.
@ reply or DM if you want to attend.
allies/graduates allowed to attend as well
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Open source is dead.
That’s not a statement we ever thought we’d make.
@calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up.
AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost.
In that world, transparency becomes exposure. Especially at scale.
After a lot of deliberation, we’ve made the decision to close the core @calcom codebase.
This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible.
We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple:
Protecting our customers and community at all costs.
This may not be the most popular call.
But we believe many companies will come to the same conclusion.
My full explanation below ↓
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We are joining @ycombinator to support 1B people living with chronic disease.
Growing up, I remember hating hospitals.
I went to endless doctor's appointments but never got any answers to why I was always ill.
Today, over 1B people live with chronic disease, waiting months for an appointment and ~8.6 years for a diagnosis.
So @MarshallJGould and I decided to build @junocompanion, an AI clinical specialist providing 24/7 private healthcare, for everyone
Built on our research at Oxford and UCL, to:
- understand your entire health history
- identify triggers + patterns in your condition
- provide support that makes sense for your body
Incredibly proud to have supported over 50,000 people globally with their health
Share with a loved one today :)
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Will be in Paris on March 22-23 to meet with AI founders + investors. Also spending time at Station F.
If there are any local founders/investors interested in grabbing a coffee, lmk!
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Everyone is saying GPT-5.4 Pro is the smartest model, AGI-level intelligence, but do you have AGI-level questions to ask?
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@aaron_epstein @raphaelschaad What was the best demo for an AI-native agency you saw ?
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Been watching a lot of product demos in YC applications, and it's surprising how similar most of them look. Watch this video @raphaelschaad and I made to see what to avoid, and how to stand out.
Y Combinator@ycombinator
As no-code design tools become more common, so do the pitfalls. You know what they look like - the purple gradients, annoying hover effects, sections that fade as you scroll. So how do you avoid a site that feels vibe coded while still taking advantage of these new tools? In this episode of Design Review, @aaron_epstein is joined by Visiting Partner @raphaelschaad, the founder and designer of Cron (now Notion Calendar). Together they’ll review user submitted sites with an eye for how to best use these tools and avoid common vibe coding mistakes. Thanks to the companies that submitted their sites for review. 2.58 - Nunu.ai 9.25 - @Rosebud_AI 13:30 - @getcruxai 19:12 - @Sphinx_HQ 25:43 - @build0ai 30:30 - @zarna_ai
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