Alternatives
Products that do what The Deductivist does
Learn to read people like Sherlock Holmes
- 1IU
I think LLMs are overused to summarise and underused to help us read deeper. I built a system for Claude Code to browse 100 non-fiction books and find interesting connections between them. I started out with a pipeline in stages, chaining together LLM calls to build up a context of the library. I was mainly getting back the insight that I was baking into the prompts, and the results weren't particularly surprising. On a whim, I gave CC access to my debug CLI tools and found that it wiped the floor with that approach. It gave actually interesting results and required very little orchestration…
Jan 2026 · trails.pieterma.es
- 2RA
2021 · ramp-book.com
- 3IM
Hi HN! Worked on this side project for a while and wanted to share it. It's free to play.
Oct 2025 · detective.wiki
- 4PS
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
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- 9OS
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…
2023 · vectara.com
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2024 · parikar.org
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Hey HN! I'd love to get some people to mess around with a little side project I built to teach myself DSPy! I've been a big fan of reading fiction + webnovels for a while now, and have always been curious about two things: how can LLMs iteratively learn to write better based on reader feedback, and which LLMs are actually best at creative writing (research benchmarks are cool, but don't necessarily translate to real-world usage). That's exactly why I built narrator.sh! The platform takes in a user input for a novel idea, then generates serialized fiction chapter-by-chapter by using DSPy to…
2025 · narrator.sh
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Check out our launch article as well, if you’re interested! https://opennote.me/labs/introducing-feynman
2025 · opennote.me
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2025 · detective-stories.com
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- 20AD
Hi everyone, I'm Aman, the creator of DenseWiki.org. DenseWiki is an experimental deep reading tool. It aims to amplify human ability to read hard content (research papers, technical articles etc) OUTSIDE our expertise, by rapidly learning new disciplines on the fly. Here's the key idea (as demonstrated in the video on the website): When you read something in a new discipline (let's say a paper using AI for biochem, and you nothing about biochem), the challenge is jumping right into an OCEAN of knowledge. You're prone to feel lost and overwhelmed. DenseWiki's approach is that using the…
Sep 2025 · densewiki.org
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- 22LL
Hallucinations are still a major blocker for deploying reliable retrieval-augmented generation (RAG) systems, especially in complex domains like medical or legal. Most existing hallucination detectors rely on full LLM inference (expensive, slow), or struggle with long-context inputs. I built LettuceDetect — an open-source, encoder-only framework that detects hallucinated spans in LLM-generated answers based on the retrieved context. No LLMs needed, and it much more efficiently. Highlights: - Token-level hallucination detection (unsupported spans flagged based on retrieved evidence) - Built…
2025 · github.com
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Real-time Hallucination Detection for LLMs
Nov 2025 · hallucinationdetector.co
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