Show HN: Talos – Open-source WASM interpreter for Lean
15 by mfornet | 2 comments on Hacker News.
At Cajal (YC W26) we’re excited to share Talos ( https://ift.tt/tTLbgrp ), an open source framework for formal verification of WebAssembly modules in Lean. AI is now writing tons of the code that gets pushed to production. As code generation gets cheaper, verification becomes the bottleneck. We believe in a future where every piece of software comes with a mathematical proof that it does what its author intended - in doing so, eliminating many classes of exploits. Talos is part of the foundation for that. Talos provides a Wasm interpreter optimized for reasoning at the binary level, together with a weakest-precondition calculus layer for proving properties about programs. Because we reason directly about WebAssembly, any language with a Wasm backend is in scope: Rust, C++, Go, C, Swift, Kotlin, Zig, C#, and many more. To make this possible, we use Lean: a programming language and theorem prover that lets you both write software and mathematically prove that it's correct - all in one system. That's what lets Talos double as both an executable interpreter and the formal object Lean reasons about. Lean also integrates with modern AI proving tools, discharging goals automatically via both proof search and direct evaluation. To see Talos in action check out a proof for Stein's GCD algorithm, implemented in the popular Rust crate num-integer: https://ift.tt/tNBfX7p... . Our roadmap: - Full Wasm coverage by first passing the official W3C testsuite, then later verifying against SpecTec (formal Wasm spec)
- Arbitrary crate verification - any Rust crate that compiles to Wasm should be in scope
- Building our proof library codelib, to make verifying increasingly complex programs tractable We would love to hear the community’s feedback on Talos and comments on the state of formal verification right now. Contributions are also welcome!
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New Show Hacker News story: Show HN: Crawlie – Free open-source SEO audit tool for humans and agents
Show HN: Crawlie – Free open-source SEO audit tool for humans and agents
2 by seandotexe | 0 comments on Hacker News.
With AI, it's faster than ever to ship a marketing site... but most of what gets generated is slop that was never built to be found. Plus the tools meant to catch that fall short: most SEO auditors cost money, don't play nicely with your agents, or tell you what's wrong without telling you how to actually rank for SEO and GEO (Generative Engine Optimization: being cited by AI search like ChatGPT, Perplexity, and Google AI Overviews). crawlie fixes that! It's 100% free, it's local-first, it's agent-native (MCP baked in!), and every issue it finds comes with why it matters and how to fix it.
2 by seandotexe | 0 comments on Hacker News.
With AI, it's faster than ever to ship a marketing site... but most of what gets generated is slop that was never built to be found. Plus the tools meant to catch that fall short: most SEO auditors cost money, don't play nicely with your agents, or tell you what's wrong without telling you how to actually rank for SEO and GEO (Generative Engine Optimization: being cited by AI search like ChatGPT, Perplexity, and Google AI Overviews). crawlie fixes that! It's 100% free, it's local-first, it's agent-native (MCP baked in!), and every issue it finds comes with why it matters and how to fix it.
New Show Hacker News story: Show HN: Are You in the Weights?
Show HN: Are You in the Weights?
57 by turtlesoup | 31 comments on Hacker News.
With more traffic moving off-web and into LLMs, I got curious about what traces we leave "in the weights". My design partner and I built a site in the past few weeks that checks recognition across frontier and small models. It queries many of them in parallel, clusters the responses, and tells you how strongly they recognize you. Happy to answer any questions here!
57 by turtlesoup | 31 comments on Hacker News.
With more traffic moving off-web and into LLMs, I got curious about what traces we leave "in the weights". My design partner and I built a site in the past few weeks that checks recognition across frontier and small models. It queries many of them in parallel, clusters the responses, and tells you how strongly they recognize you. Happy to answer any questions here!
New Show Hacker News story: Show HN: I built a spelling app for kids with my 7-year-old
Show HN: I built a spelling app for kids with my 7-year-old
2 by narenst | 0 comments on Hacker News.
Hello HN! I made an iPad app with my seven-year-old daughter to make learning spelling fun. https://spellabee.com/ We play Spelling Bee type games in our car rides, and she wanted to learn more words that way. So we built a simple app that teaches 10 words at a time, and lets the kids practice and master these 10 words. The full word list in the app is static, and it gets progressively harder as the kid goes through the levels. There are no AI features in the app. I do not collect emails inside the app or have third party trackers. Based on feedback (reviews) and aggregate usage data I plan on updating the app with new word sets. Although the app does not have any AI features I used AI to build the app itself. I used Claude to code the app using Flutter, do etymology research, and understand what alternative apps that are in the App Store. While the LLMs were good at providing a lot of information, I had to synthesize it and play a strong Product Manager role to drive the vision and keep the app simple. My daughter provided a lot of feedback and helped simplify the app and refine the UX. The "Bee Stage" design was inspired by her drawing. Without AI tools, it would have been almost impossible for me to build and launch this app. But it still required a lot of decision-making and prioritization to get the product out of the door. I strongly believe that while AI is a powerful tool, human taste is the differentiator in well made products. If you have a kid in K-5 who is interested in spelling bee type games, give it a try and I would love to hear any feedback you may have as a parent. App store: https://ift.tt/F6o3tdj...
2 by narenst | 0 comments on Hacker News.
Hello HN! I made an iPad app with my seven-year-old daughter to make learning spelling fun. https://spellabee.com/ We play Spelling Bee type games in our car rides, and she wanted to learn more words that way. So we built a simple app that teaches 10 words at a time, and lets the kids practice and master these 10 words. The full word list in the app is static, and it gets progressively harder as the kid goes through the levels. There are no AI features in the app. I do not collect emails inside the app or have third party trackers. Based on feedback (reviews) and aggregate usage data I plan on updating the app with new word sets. Although the app does not have any AI features I used AI to build the app itself. I used Claude to code the app using Flutter, do etymology research, and understand what alternative apps that are in the App Store. While the LLMs were good at providing a lot of information, I had to synthesize it and play a strong Product Manager role to drive the vision and keep the app simple. My daughter provided a lot of feedback and helped simplify the app and refine the UX. The "Bee Stage" design was inspired by her drawing. Without AI tools, it would have been almost impossible for me to build and launch this app. But it still required a lot of decision-making and prioritization to get the product out of the door. I strongly believe that while AI is a powerful tool, human taste is the differentiator in well made products. If you have a kid in K-5 who is interested in spelling bee type games, give it a try and I would love to hear any feedback you may have as a parent. App store: https://ift.tt/F6o3tdj...
New Show Hacker News story: Show HN: Vpod – Tiny Linux sandbox running in WASM
Show HN: Vpod – Tiny Linux sandbox running in WASM
4 by mavdol04 | 0 comments on Hacker News.
Hi HN, I spent the last few months reading the RISC‑V specification to build the lightest possible sandboxes. The idea behind a vpod is to quickly spin up a Linux sandbox from snapshots (Alpine by default) without any setup or subsystem required. The trade-off for portability and security is raw CPU speed. So we don't expect it to match native workloads with Python or pip, for example. More info is in the README https://ift.tt/ThYIySJ Happy to answer any questions!
4 by mavdol04 | 0 comments on Hacker News.
Hi HN, I spent the last few months reading the RISC‑V specification to build the lightest possible sandboxes. The idea behind a vpod is to quickly spin up a Linux sandbox from snapshots (Alpine by default) without any setup or subsystem required. The trade-off for portability and security is raw CPU speed. So we don't expect it to match native workloads with Python or pip, for example. More info is in the README https://ift.tt/ThYIySJ Happy to answer any questions!