# AlphaFold Hacker Approved page: https://hackerapproved.com/p/alphafold/ 48 people recommended AlphaFold in Hacker News comments, 10 had mixed feelings and 5 criticized it, November 2025 to October 2026. It was recommended in 12 of 12 months, in 48 threads. It meets the Hacker Approved badge rule. **Verdict:** Recommended for predicting protein structures from sequence, with a large free database of folds; critics note predictions are estimates that still need validation and fail outside known structures. Summary written by Claude from 48 comments. ## Why people recommend it - Major breakthrough in protein folding (6 comments in the sample): "Alphafold essentially solved the protein folding problem and it's arguably one of the biggest (if not the biggest) scientific achievements of the 21st century." ([source](https://news.ycombinator.com/item?id=48909375)) "It has been a true breakthrough solving a problem humanity as of then thought it was impossible to tackle." ([source](https://news.ycombinator.com/item?id=50300957)) "we have seen AlphaFold solving a decades old protein folding problem" ([source](https://news.ycombinator.com/item?id=50280094)) - Broad impact on biology and research (5 comments in the sample): "AI has produced AlphaFold which is kicking off a lot of progress in biology" ([source](https://news.ycombinator.com/item?id=46831503)) "An enormous contribution to structural biology and biomedical research." ([source](https://news.ycombinator.com/item?id=49675307)) "one AI has already proved to help with breakthroughs (alphafold" ([source](https://news.ycombinator.com/item?id=49328486)) - Physics built into network architecture (3 comments in the sample): "Physical models are baked right into AlphaFold models and development at multiple steps, it is a highly unique architecture and approach." ([source](https://news.ycombinator.com/item?id=46271980)) "Physical insights are built into the network structure, not just a process around it" ([source](https://news.ycombinator.com/item?id=46271880)) "Alphafold showed that you could take a physical process and make a neural net clever enough to learn just enough structure" ([source](https://news.ycombinator.com/item?id=49328675)) - Free database of protein structures (2 comments in the sample): "AlphaFold is a pretty big deal, especially the millions of protein folds they published openly" ([source](https://news.ycombinator.com/item?id=48909032)) "look to AlphaFold and the mega dataset of protein folds they have made available for science" ([source](https://news.ycombinator.com/item?id=49078837)) ## What people warn about - Predictions still need experimental validation (3 comments in the sample): "you still have to validate the structures it estimates, which minimises any speed gains" ([source](https://news.ycombinator.com/item?id=47800869)) "what it outputs is a fundamentally a prediction with important limitations" ([source](https://news.ycombinator.com/item?id=46644859)) "in practice not even alpha fold can tell me if my gfp fusion will work" ([source](https://news.ycombinator.com/item?id=49613358)) - Poor on out-of-sample proteins (3 comments in the sample): "these folding models fail when we don't have crystal structures, so they are certainly not generalizing" ([source](https://news.ycombinator.com/item?id=49348110)) "AlphaFold is effectively blind, it was just trained on correctly folded proteins with known structure." ([source](https://news.ycombinator.com/item?id=46461048)) "it did far less for out of sample domains and it provides no intel into the kinetics of folding" ([source](https://news.ycombinator.com/item?id=49701623)) - Did not truly solve folding (2 comments in the sample): "Alphafold2 was great but didn't actually 'solve' protein-folding" ([source](https://news.ycombinator.com/item?id=48433768)) "it had little to do with the problem as it's been understood to mean" ([source](https://news.ycombinator.com/item?id=49100353)) - Ignores physics and folding kinetics (1 comment in the sample): "it is optimizing for "looking like a protein", not for "obeying physics" ([source](https://news.ycombinator.com/item?id=46098984)) ## The badge A product earns the Hacker Approved badge when at least 10 people recommend it, recommenders outnumber critics at least 2 to 1 (mixed feelings count toward neither side), it was recommended in at least 4 of the 12 months and in at least 5 different threads, and no single thread supplies more than half of the people who recommend it. Health and money products are never badged. ## Cite as Hacker Approved, "AlphaFold", https://hackerapproved.com/p/alphafold/ (48 recommend, 10 mixed, 5 criticize; Hacker News comments, November 2025 to October 2026). Counts updated 2 Nov 2026, with data through October 31, 2026.