Alternatives
Products that do what WFGY – Endorsed by Tesseract.js dev, 2k+ downloads/month live does
So yeah. After months of semantic rabbit holes and weird math, I pushed WFGY out into the world. Didn’t expect much. Now it’s hitting 2k+ downloads/month, and the dev behind Tesseract.js even starred it. That was the surreal part. WFGY isn’t a framework, it’s more like… an engine that lets your embedding space do things. Think of it like a semantic OS — not a database, not a chatbot, but a way to let meaning drive behavior. We just launched one module: Blah Blah Blah – Truth generator. One button → 50+ perspectives on your input. Not retrieval. Not summarization. Just pure divergent…
- 1IS
Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com
- 2WA
WFGY introduces a PDF-based semantic protocol designed to correct projection collapse, contradiction loops, and ambiguous inference chains in LLMs. No retraining. No system calls. When parsed, the logic patterns alter reasoning trajectories directly. Prompt evaluation benchmarks show: ‣ +42.1% reasoning success ‣ +22.4% semantic alignment ‣ 3.6× stability in interpretive tasks The repo contains formal theory, prompt suites, and reproducible results. Zero dependencies. Fully open-source. Feedback from those working in alignment, interpretability, and logic-based scaffolding would be…
2025 · github.com
- 3IO
Hey folks, I’m the creator of WFGY — a semantic reasoning framework for LLMs. After open-sourcing it, I did a full technical and value audit — and realized this engine might be worth $8M–$17M based on AI module licensing norms. If embedded as part of a platform core, the valuation could exceed $30M. Too late to pull it back. So here it is — fully free, open-sourced under MIT. --- ### What does it solve? Current LLMs (even GPT-4+) lack *self-consistent reasoning*. They struggle with: - Fragmented logic across turns - No internal loopback or self-calibration - No modular thought units - Weak…
2025 · github.com
- 4MW
This was more of a sandbox to play with Raphael and Flot than anything else but I think there are some interesting statistics in there. It'd be awesome to do this over time but I really don't have the spare time required.
2011 · burntbrunch.github.com
- 5WB
Here is a production-first Keras-inspired LM framework, built with the advice of François Chollet (ex-Google, creator of Keras and ARC-AGI), our technical advisor. This system have already been deployed in production with our clients (which is why we have already every LLMOps practice implemented). It is also compatible with Jupyter and Marimo to integrate seamlessly in you Data Scientists workflows. You can try the code examples online on HF space and you can find more information in the documentation and FAQ. If you have any feedback for us don't hesitate to join our discord! More releases…
2025 · github.com
- 6OA
A friend and I are launching an alpha first thing in 2011. We're trying to gain some momentum and whatnot, so we're opening early registration as of tonight. We're planning to develop a Bayesian network to derive suggestions. If you're interested in seeing our progress, check it out. Edit: Any and all suggestions, criticism, advice, etc is highly appreciated!
2010 · osmoar.com
- 7IM
Hey everyone! I'm really excited to share a side project I've been pouring my heart into lately. As a developer with over five years of experience, I've taken on my fair share of freelance web development projects. In the beginning, I always coded everything from scratch, but as I juggled more projects simultaneously, I started using Webflow to save time. While Webflow was definitely a lifesaver, I couldn't help but wish for an even faster way to set up a website – something that would allow me to start with a template and then easily customize it to my heart's content. The problem with most…
2024 · instawebai.com
- 8UI
Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…
2023 · usearch-images.com
- 9HM
I made this as a pair programming exercise with o1-preview. o1 did most of the heavy lifting, through high level prompts, but eventually I needed to diverge from it to get to completion. My initial prompt was: --- I'm making a web app: It's like 4chan, but each thread starts with a gps coordinate. People can only post text and images. I want to build it with flask and sqlalchemy. I want just the backend and data model that supports these threads, anonymous users, and users that can register a permanent username. Write as much of it as you can for me. --- This produced a fully scaffolded…
2024 · mapchan.com
- 10IB
Hey everyone! I wanted to share a side project I've been working on that I think could be really useful for a lot of people, especially those in the web development and no-code space. As a developer with over five years of experience, I've done my fair share of freelance web development projects. Initially, I always coded everything from scratch, but as I took on more projects simultaneously, I started using Webflow to save time. While Webflow was helpful, I often found myself wishing for a faster way to set up a website – something that would allow me to start with a template and then…
2024 · instwebai.com
- 11AL
I wanted to share something I've been working on recently: Statum, a handy web analytics tool. https://github.com/extractumio/statum The journey began when I found myself frequently needing simple web analytics for my projects. I tried Google Analytics, especially GA4, and realized it was quite complex and, at times, not very accurate, especially when I wanted to view stats for the current day or recent hours. Then I tested a few fancy startup solution but ended up with way too expensive plans the expect me to subscribe (I'm not that rich to pay $99/month for every…
2023 · github.com
- 12DR
The first ever AI peer reviewed research article just got approved. It’s kinda crazy how advanced AI have come to replace researchers. I've just been using Deep Research on ChatGPT and Perplexity a lot to write and research complex technical reports for my boss. He loves the reports and it has decreased my workload a ton but I still have some frustrations with it. None of them provide an API that gets me the same quality of output you would with the applications. I wanted something with more control on the LLMs, swappable with the reasoning new models that came out. Not just prompt →…
2025 · github.com
- 13CV
I worked as a software engineer at Amazon, SAP, and on open source. In all 3 places I have struggled with the friction of understanding codebases before I can make a contribution. I think this brain-fatiguing process can be improved. I am trying to solve it with a tool I built over the last 4 years called CodeCanvas: https://docs.code-canvas.com CodeCanvas visualizes codebases through interactive diagrams linked directly to source code. Users can record 'simulations' to demonstrate data flow and business logic. I’ve also recently added an LLM chat where it takes only the relevant…
2025 · pie-crepe-38f.notion.site
- 14CC
Hey HN, I've been wanting to start this project for a long time, ever since I read an article about collaborative transformation of blob images[1], and I'm hoping it will take off here as I'm curious to see how it can grow. Here's how it works: - My website is available at https://chaospixels.com. You can find its code in the `src` directory of the linked repository. - Every day, I'll review all the open PRs (Pull Requests) and calculate a PR score based on the number of thumbs-up on the PR's opening comment. - The PR with the highest score will be merged and deployed. - Afterward,…
2024 · github.com
- 15IB
Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…
2024 · viewpointhq.com
- 167D
Hi HN, I want to share a story that might resonate with anyone who has tried to launch an open-source project from zero visibility, zero budget, zero network. Seventy days ago I created a repo called WFGY. I had no prior followers, no launch partners, no ads. Today, it’s at 800 stars and counting. Pure cold start. The “secret”? Not marketing. Not tricks. It was building a Problem Map. --- #### What is a Problem Map? Instead of claiming my system “improves reasoning” or “solves RAG bugs,” I wrote down 16 concrete failure modes engineers hit every day: * Embedding drift (semantic ≠ vector…
2025 · github.com
- 17IB
So I've been obsessed with a weird question for the past 6 months, what happens to SEO when everyone starts asking ChatGPT for recommendations instead of Googling? The answer, apparently, is chaos. And maybe opportunity? I built FirstClick because I noticed something strange. My previous startup was getting zero traffic from AI assistants, but our competitor (objectively worse product, sorry not sorry) was getting mentioned by Claude and Perplexity constantly. It drove me crazy. So I reverse engineered why. Turns out there's a whole new game being played and most founders don't even know it…
Dec 2025 · firstclick.so
- 18TN
Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…
2024 · github.com
- 19ID
Hey HN! I develop browser extensions, I suck at web design, and I've been exploring AI/LLMs. With my new found free-time since dropping work hours, I've developed a Design Copilot browser extension [0]. It does what it says on the tin - you choose a part of your website and the tool gives you instant expert design feedback - "change this font to that, add this much whitespace, use brighter colours .... etc" The tool is completely 100% free to use, its powered by bringing your own AI API Key, and the current LLM it uses is Google Gemini 1.5 Pro. I've yet to hit the free rate-limit and I…
2024 · old.reddit.com
- 20IM
Hi there! I made a project for pure joy called Indieseas.net. I made it because I disliked how search engines completely ignore smaller websites, prioritizing ads and businesses. That said, I decided to make my very own search engine! But, how could I keep business websites outside the system? The solution were 88x31 buttons. These are images or gifs that were used back in the days to connect websites between eachother. This was useful because search engines weren't very bad in the times. Thankfully, people still use them a lot nowadays! So, I whipped up a program in Typescript using Bun…
2025 · indieseas.net
- 21IB
Fully leaned into vibe coding this time around. Started on v0, at some point ejected into running locally (getting v0's exported folder to run locally was a challenge), then iterated with Cursor over the course of a few hours. Really neat how much can be accomplished just conversationally these days.
2025 · macrodata-refinement.arjit.me
- 22IB
I had 14,000 photos sitting on a drive and wanted an excuse to play with local vision models and Elixir/Phoenix. I originally tried to get LLaVA to tell me if a photo was 'good' or matched my style, but quickly learned that LLMs have terrible taste. I ended up demoting the LLM to just extract metadata, and built a custom CLIP/Ridge Regression pipeline to actually learn my preferences based on how I rate things. The stack is Phoenix/Oban on the orchestrator side, and Python/FastAPI/Instructor for the AI workers. Happy to answer any questions about the architecture,…
Apr 2026 · qwelian.com
- 23IM
Hi there! I've been working with data in one form or another, professionally, for about 5 years. I've been thinking about my own personal data and how it's used for at least twice that long. I've been sort of building something in my head for a while that solves my own problem and, in the beginning of this year, I found the opportunity to spend some time building it out. I'll leave the detailed explanation to the blog post but, in short, I built what amounts to an API crawler combined with a data processor to help you download your personal data from 3rd party services and work with it using…
2024 · joshcanhelp.com
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