Alternatives
Products that do what GeroQubit does
De-novo longevity drug design you can actually synthesize
- 1AO
Hi HN - we’re the founders of Ligo Biosciences and are excited to share an open-source implementation of AlphaFold3, the frontier model for protein structure prediction. Google DeepMind and their new startup Isomorphic Labs, are expanding into drug discovery. They developed AlphaFold3 as their model to accelerate drug discovery and create demand from big pharma. They already signed Novartis and Eli Lilly for $3 billion - Google’s becoming a pharma company! (https://www.isomorphiclabs.com/articles/isomorphic-labs-kick...) AlphaFold3 is a biomolecular structure prediction…
2024 · github.com
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Glyfiq▲89Medical & health icon plugin for Figma, Illustrator & Framer
Jun 2026 · blogoodf.gumroad.com
- 14PS
Hi HN, I turned the freshly published paper “The Constructor Theory of Time” by David Deutsch and Chiara Marletto (arXiv, 13 May 2025) into an executable Python library. What you’ll find • One-to-one translation of the paper’s formalism: Substrates, Attributes, Tasks, Constructors, and task-algebra operators • Possibility / impossibility predicates and counterfactuals encoded exactly as defined • Test suite that mirrors every lemma and example (>95 % coverage, mypy-typed) • Reproductions of key results: time-keeping substrates, irreversibility proofs, quantum branching tasks, and a…
2025 · github.com
- 15D2
Hi! We are excited to announce the second release of Desbordante — an open-source, high-performance data profiler that is capable of discovering and validating many different patterns in data using various algorithms. Unlike existing data profilers, Desbordante focuses on discovering complex patterns in data, which are notoriously hard to extract. Since its inception in 2019, it has become the fastest open-source tool for these tasks. It also offers an array of patterns which have no alternative implementations. With this release, Desbordante now supports 17 types of patterns, such as:…
2024 · github.com
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2022 · grams.io
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Hi HN! I've been exploring what happens when we treat code not as architecture but as a living ecosystem. Demo: https://nabolitains.github.io/plasma/ This started from a simple question: The slime mold Physarum can solve mazes without a brain. What if our code could similarly self-organize? The result is Plasma - computational cells that: - Metabolize energy from their environment - Reproduce with mutations - Form emergent colonies nobody designed - Die (and that's a feature) No ML, no complex algorithms. Just simple rules creating complex behaviors. The entire thing is…
2025 · nabolitains.github.io
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- 20EA
I built an artificial life simulator that fits in one HTML file (~1400 lines ~50KB) with Claude Opus 4.6, interestingly, I didn't even ask it to build the game itself, I've requested to create the software that didn't exist before and not use any dependencies, third-party libraries or ask questions. Firstly Opus 4.6 made photoshop clone that barely worked, but had nice and neat UI with all common features for the image editor, then I've called that crap and asked to really build someting that wasn't there, it made Emergent there. Please check it out and tell what you think, of course it's a…
Feb 2026 · emergent-ivory.vercel.app
- 21IW
Input a SMILES string (or pick one molecule from the examples) and it returns up to 100k molecules closest in 3-D shape or electrostatic similarity – from 10+ billion scale databases — typically in under 5-10 s. *Why it might interest HN* * Entire index lives on disk — no GPU at query-time, less than ~10 GB RAM total. * Built from scratch (no FAISS index / Milvus / Pinecone). * Index-build cost: one Nvidia T4 (~ 300USD) for one 5.5B database. * Open to anyone, predict ADMET, export results as CSV/SDF. Full write-up & benchmarks (DUD-E, LIT-PCBA, SVS) in the pre-print:…
2025 · cheese-new.deepmedchem.com
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2022 · github.com
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2022 · thesciencegab.com
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