Life & fun · alternatives · 2026
24 alternatives to I Ching simulator with accurate Yarrow Stalk probabilities
I built this because I wanted a digital I Ching that honors the original math, rather than just Math.random(). Technical detail for the curious: The simulation follows the traditional Yarrow Stalk algorithm (Da Yan). The core of this algorithm relies on modulo-4 arithmetic on the stalks remaining after a random split. To make it physically realistic, I used a Box-Muller transform to simulate the user splitting the stalks with a Gaussian distribution (since humans naturally tend to split near the middle), rather than a uniform random split. I was worried this 'human bias' might skew the…
This I Ching simulator uses the traditional Yarrow Stalk algorithm (Da Yan) rather than simple random number generation. It models how humans actually split stalks by applying a Gaussian distribution through Box-Muller… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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I went down the rabbit hole on a side project and ended up building this: Strange Attractors(https://blog.shashanktomar.com/posts/strange-attractors). It’s built with three.js. Working on it reminded me of the little "maths for fun" exercises I used to do while learning programming in early days. Just trying things out, getting fascinated and geeky, and being surprised by the results. I spent way too much time on this, but it was extreme fun. My favorite part: someone pointed me to the Simone Attractor on Threads. It is a 2D attractor and I asked GPT to extrapolate it to…
Oct 2025 · blog.shashanktomar.com · its alternatives →
- 2TK
I analyzed two orderings of the 64 I Ching hexagrams and found the permutation cycle decomposition between them is [52, 10, 2] with zero fixed points. Nobody has done this kind of analysis before and this cycle type has not been reported in the literature. You can verify it yourself.
Mar 2026 · gzw1987-bit.github.io · its alternatives →
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Creating high-quality scientific figures can be time-consuming and challenging, even though sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are not stored in formats preserving semantic information is equally complex. To tackle this problem, we introduce DeTikZify, a novel multimodal language model that automatically synthesizes scientific figures as semantics-preserving TikZ graphics programs based on sketches and existing figures. We also introduce a Monte Carlo Tree Search-based inference algorithm that enables DeTikZify to iteratively refine its…
2024 · github.com · its alternatives →
- 5AV
2012 · bost.ocks.org · its alternatives →
- 6AR
2020 · ehrenjn.github.io · its alternatives →
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TLDR: I’ve made a transformer model and a wrapper library that segments text into meaningful semantic chunks. The current text splitting approaches rely on heuristics (although one can use neural embedder to group semantically related sentences). I propose a fully neural approach to semantic chunking. I took the base distilbert model and trained it on a bookcorpus to split concatenated text paragraphs into original paragraphs. Basically it’s a token classification task. Model fine-tuning took day and a half on a 2x1080ti. The library could be used as a text splitter module in a RAG system or…
2025 · github.com · its alternatives →
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We've open-sourced Klarity - a tool for analyzing uncertainty and decision-making in LLM token generation. It provides structured insights into how models choose tokens and where they show uncertainty. What Klarity does: - Real-time analysis of model uncertainty during generation - Dual analysis combining log probabilities and semantic understanding - Structured JSON output with actionable insights - Fully self-hostable with customizable analysis models The tool works by analyzing each step of text generation and returns a structured JSON: - uncertainty_points: array of {step, entropy,…
2025 · github.com · its alternatives →
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I was fascinated reading through another recent HN submission about a highly efficient implementation of A* in Lisp, which got me thinking about how I could do something similar in Python. However, these kinds of pathfinding algorithms really need complex terrain/mazes with interesting obstructions to showcase what they can do and how they work. So, I started thinking about how I could generate cool and diverse random "mazes" (they aren't really mazes, but I'm not sure what the best term is). I got a bit carried away thinking of lots of different cool ways to generate these mazes, such…
2024 · github.com · its alternatives →
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How Sequoia excelled for 40 years
2016 · soundcloud.com · its alternatives →
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Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 12GA
2020 · amydyer.art · its alternatives →
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64Choices▲13One-tap I Ching casting, powered by a deep-reasoning AI
2025 · apps.apple.com · its alternatives →
- 14AN
2012 · petercottle.com · its alternatives →
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This is a weekend hack that I'd like to further develop as it's working surprisingly well. Using MCTS, we can explore a space of possible verified programs with an LLM. We check the partial programs at each step, and so steer towards programs that pass the verifier. https://github.com/namin/llm-verified-with-monte-carlo-tree-...
2023 · github.com · its alternatives →
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Haskell re-implementation of STOKE, the stochastic superoptimizer - blaze/notebooks/tutorial.ipynb at master · bollu/blaze
2019 · github.com · its alternatives →
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predict future with a trusted ancient technique ‘i ching’
2021 · play.google.com · its alternatives →
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A chess engine implementation inspired by AlphaZero, using MLX for neural network computations and Monte Carlo Tree Search (MCTS) for move selection.
2025 · github.com · its alternatives →
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FateGuide▲12Hi HN! This is my second submission today about *FateGuide*. My project, *suanmingzhun.com*, is an attempt to use *TypeScript* and *AI* not just to calculate, but to model the interpretation logic of complex Chinese Metaphysics systems. The core engineering challenge here is converting *qualitative wisdom into quantitative data*—a problem I think many engineers dealing with unstructured data can relate to. 1. *Modeling Interpretation Logic:* How do we turn the qualitative rules of *Bazi* (Five Elements interaction) and *Ziwei Doushu* (star combinations across 12 Palaces) into clean,…
Nov 2025 · suanmingzhun.com · its alternatives →
- 20AT
I've been building prototypes of new AI learning tools for months, but I recently learned that 3blue1brown open sourced his incredible math animation library, Manim, and that LLMs could generate code for it without any fine-tuning. So I made a tool that automatically generates animated math/science explanations in the style of 3blue1brown using Manim from any text prompt. Try it yourself at https://TMA.live (no signup required) or see the demo video here: https://x.com/i/status/1874948287759081608 The UX is pretty simple right now, you just write a…
2025 · tma.live · its alternatives →
- 21AT
A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260. Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact. Chat with it live.
Aug 2026 · mikeayles.com · its alternatives →
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Cast64▲9Ancient wisdom meets AI: Your intelligent I Ching companion
2025 · cast64.com · its alternatives →
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Get instant free AI tarot readings online. Discover your destiny with personalized tarot card readings, dream interpretation, numerology & rune readings. Try now!
2024 · tarotread.ai · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →