Zlatko Jončev
@ZJoncev
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YC (S25) https://t.co/Xd4R6uwnqm | PostDoc at Laboratory of Artificial Chemical Intelligence @SchwallerGroup @EPFL | PhD ex @UniBasel_en ex. @Chemspeed
San Francisco/Basel/Lausanne
Joined October 2021
b-12 just launched on @ycombinator's Launch YC! b-12 - Chemistry Copilot for Pharma & Biotech. Check them out:
ycombinator.com
Y Combinator created a new model for funding early stage startups. Four times a year we invest in a large number of startups.
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👾@trace_so is building an AI-native workspace that breaks down existing workflows, assigns repetitive tasks to AI agents, and routes the rest to the right people. https://t.co/QrCA9m8DeP Congrats on the launch, @timcherkasov and @K1ngArtes!
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Synthetic Society tests your product with AI-powered user simulations. Their agents mimic real users to catch bugs, bad UX, and edge cases. Ship faster, kill manual testing, and build with confidence. https://t.co/51uOlq9JKe Congrats on the launch, @aaronchewbani and @kavandoc!
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Design Arena (@designarena_ai) is the first crowdsourced benchmark for AI-generated design. In the last 5 weeks, they’ve hit 50k users across 140 countries. Congrats on the launch, @grx_xce, @KamrynOhly, and @jaydenpersonnat! https://t.co/vXfBZtdV5E
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b-12 ( https://t.co/sUMDUAK8TT) is building AI agents that help chemists design experiments and automatically run them on lab robots. They turn months of manual chemistry work into minutes of automated execution. Congrats on the launch @drecmb & @ZJoncev! https://t.co/waQzlnrS7z
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we’re vlogging all of YC S25 stay tuned for the first day…
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Today we’re announcing Design Arena. Let’s make what AI makes less ugly - cast your vote today. So many exciting things ahead!
Three weeks ago, we started building an AI game engine. But some models kept making things look... sloppy. So we turned finding the best one into a game. In three weeks, that game grew to 35K+ users across 135 countries. Introducing @designarena_ai, the fastest-growing
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Three weeks ago, we started building an AI game engine. But some models kept making things look... sloppy. So we turned finding the best one into a game. In three weeks, that game grew to 35K+ users across 135 countries. Introducing @designarena_ai, the fastest-growing
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we made mcp-use the open-source dev tools and infra for mcp to help dev teams quickly build and deploy custom ai agents with mcp servers. our SDK just crossed 100,000 downloads and 4,300 github stars. roast my demo video. seriously, what do we need to improve?
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Cactus ( https://t.co/IWt1w2GBzX) runs AI on smartphones. They help developers deploy local, private, and offline AI cross-platform in their apps. Congrats on the launch, @RomanShemet & @Henry_Ndubuaku! https://t.co/tlCu7RKPr8
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ChatGPT now can analyze, manipulate, and visualize molecules and chemical information via the RDKit library. Useful for scientific work across health, biology, and chemistry.
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In our new @SchwallerGroup preprint, we demonstrate granular and steerable synthesizability control in molecular generation - allowing the specification of reaction and building block constraints while optimizing for molecules with desired properties. Check out the preprint
Generate property-optimized small molecules with 𝘴𝘵𝘦𝘦𝘳𝘢𝘣𝘭𝘦 𝘢𝘯𝘥 𝘨𝘳𝘢𝘯𝘶𝘭𝘢𝘳 synthesizability control - allowing complete user-flexibility to impose various reaction constraints! Pre-print: https://t.co/k3XeQ2HaQz Code: https://t.co/5DkPdPZZpE (1/4)
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Generate property-optimized small molecules with 𝘴𝘵𝘦𝘦𝘳𝘢𝘣𝘭𝘦 𝘢𝘯𝘥 𝘨𝘳𝘢𝘯𝘶𝘭𝘢𝘳 synthesizability control - allowing complete user-flexibility to impose various reaction constraints! Pre-print: https://t.co/k3XeQ2HaQz Code: https://t.co/5DkPdPZZpE (1/4)
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Watch our team explain how you can use the FutureHouse Platform to come up with new hypotheses and make new discoveries.
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Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With
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FutureHouse is one of the most exciting organizations in AI for Science today!
Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With
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We are launching our FutureHouse Platform today! Our platform gives researchers public access to FutureHouse AI Scientist Agents for the first time. Check it out, at our website, and https://t.co/BlavgMdyrc.
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Happy to present a poster of my work on starting material constrained synthesis planning, Tango*, in the AI4Materials workshop at #ICLR2025 in 🇸🇬 Thanks to collaborators @JeffGuo__ and @ZJoncev and my PI @pschwllr!
1/ Starting material constrained synthesis planning is now possible using a general retrosynthesis algorithm *without* training a dedicated value network! Check-out our new paper, TangoStar. Preprint : https://t.co/hVG1r3f6fa
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Learn how to render multiple molecules from a single multi-frame .xyz file in Blender! 🧪 Hands-on session recording from the AIChemist School: bridging explainable AI and chemistry. @SchwallerGroup Watch here: https://t.co/RjoTcnIdrU More info: https://t.co/xDEjiKtznB
github.com
Useful tips and tricks for chemists in a hurry, trying to get started with Blender 3D. - schwallergroup/blender-aichemist
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Thrilled to present our new work on Reinforcement Learning for 3D Crystal Diffusion Generation in #AI4Mat at #ICLR2025 ! We show that RL can optimize diffusion models for goal-directed crystal generation. Thanks to @pschwllr and @SchwallerGroup ! https://t.co/zwAYYd5PyA
openreview.net
Recent advances in diffusion models have enabled increasing capabilities for inverse materials design. The key capability is achieving tailored design towards desired property profiles, with wide...
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