Hypathesis™
Structure what the literature says. Read only what matters.
What it does
Upload a research paper. See every variable relationship — each traced back to the exact source passage, with causal direction reasoning. No manual extraction. No spreadsheets. Just the connections that matter, traced to where they came from. Upload any research PDF — no sign-in required. Methodology peer-reviewed at IEEE EMBC 2026 (48th Annual International Conference, Toronto, July 2026). Built by researchers, for researchers. Free to try.
Does the same job
all alternatives →- IMI modeled the Voynich Manuscript with SBERT to test for structure2025 · github.com · ▲381
I built this project as a way to learn more about NLP by applying it to something weird and unsolved. The Voynich Manuscript is a 15th-century book written in an unknown script. No one’s been able to translate it, and many think it’s a hoax, a cipher, or a constructed language. I wasn’t trying to decode it — I just wanted to see: does it behave like a structured language? I stripped a handful of common suffix-like endings (aiin, dy, etc.) to isolate what looked like root forms. I know that’s a strong assumption — I call it out directly in the repo — but it helped clarify the clustering. From…
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Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
- ASA simulator for engineers transitioning from IC to managementJan 2026 · apmcommunication.com · ▲74
Hi HN, I’m a former C++ dev turned Product Manager. I’ve noticed many engineers struggle with the "politics" side of things when they become Leads. To help with this, I’m building a text-based simulator. It is NOT an AI chatbot. It is a hand-crafted, branching narrative (logic tree) based on real experiences. I just launched the first scenario: "The Backchannel VP." The Setup: Your VP Engineering is bypassing you and giving tasks directly to your juniors, causing chaos. Your Goal: Stop the backchanneling without getting fired. It’s a short, specific puzzle. I’d love to know if you think the…
- WAWeave - actually measure engineering productivity2024 · app.workweave.ai · ▲22
Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, June 2026
the whole month →
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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