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Article URL: https://vercel.com/blog/introducing-deepsec-find-and-fix-vulnerabilities-in-your-code-base

Comments URL: https://news.ycombinator.com/item?id=48244688

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Article URL: https://github.com/perplexityai/bumblebee

Comments URL: https://news.ycombinator.com/item?id=48244670

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As an Enterprise Architect I work with Capabilities, Use Cases and Value Maps amongst other things. Hugging Face is a great resource for tracking down AI models but is mostly technical and quite detailed. I built ThinkLLM because I thought that as more and more people are going to be using LLMs it would be easier to find AI models by capabilities and use cases than simply browsing long lists of models.

The website has nothing extraordinary or special. Is just a different view on existing data. It basically tries to connect AI models (mainly LLMs) with capabilities, use cases and other useful resources such as glossary terms, research papers and benchmarks. It has also the functionality of comparing up to three models.

The website was built with nextjs and Rust (backend). I used data from publicly available sources. Scoring and model descriptions are generated by using an LLM and reviewed by me prior to publication.

Any comment on how to make it better would help a lot

Thanks

Comments URL: https://news.ycombinator.com/item?id=48244665

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Article URL: https://www.latent.space/p/ainews-all-model-labs-are-now-agent

Comments URL: https://news.ycombinator.com/item?id=48244659

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Article URL: https://linkedin2md.daza.ar/

Comments URL: https://news.ycombinator.com/item?id=48244651

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Article URL: https://github.com/elodin-sys/ai-grand-prix

Comments URL: https://news.ycombinator.com/item?id=48244649

Points: 2

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Article URL: https://techcrunch.com/2026/05/20/the-spacex-ipo-filing-ai-bets-starship-dreams-elon-musk/

Comments URL: https://news.ycombinator.com/item?id=48244645

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Article URL: https://www.analogmuseum.org/english/library.html

Comments URL: https://news.ycombinator.com/item?id=48244547

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Article URL: https://yaoyue.org/blog/2026-oncall/

Comments URL: https://news.ycombinator.com/item?id=48244534

Points: 1

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Article URL: https://nicklaunches.com/

Comments URL: https://news.ycombinator.com/item?id=48244519

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Article URL: https://techjournal.org/google-aluminium-os-replacing-chromeos

Comments URL: https://news.ycombinator.com/item?id=48244476

Points: 13

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Article URL: https://altermag.com/articles/the-making-of-indian-statistics

Comments URL: https://news.ycombinator.com/item?id=48244456

Points: 2

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Article URL: https://fortune.com/2026/05/22/microsoft-ai-cost-problem-tokens-agents/

Comments URL: https://news.ycombinator.com/item?id=48244434

Points: 59

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Article URL: https://blog.bridgexapi.io/most-evm-systems-have-no-memory

Comments URL: https://news.ycombinator.com/item?id=48244430

Points: 2

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Article URL: https://github.com/agent-substrate/substrate

Comments URL: https://news.ycombinator.com/item?id=48244426

Points: 1

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Article URL: https://pudding.cool/2026/05/similes/

Comments URL: https://news.ycombinator.com/item?id=48244418

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Article URL: https://www.ibm.com/think/topics/air-gap

Comments URL: https://news.ycombinator.com/item?id=48244388

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Comments URL: https://news.ycombinator.com/item?id=48244375

Points: 3

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Article URL: https://socket.dev/blog/laravel-lang-compromise

Comments URL: https://news.ycombinator.com/item?id=48244368

Points: 1

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Article URL: https://phys.org/news/2026-05-kind-dark-tourism-emerging-online.html

Comments URL: https://news.ycombinator.com/item?id=48244348

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