Alternatives
Products that do what Standardizing NLP for a Modern ETL does
Hi guys, I've been thinking a lot about how advancements in NLP can be standardized; when building a sentiment analysis, you know for sure that other attributes than the actual sentiment can be highly interesting, such as the urgency. Together with my team, I started a new open-source project, aiming to do exactly that. It's called bricks, and it is a composition of more than 50 open-source and modular code snippets, such as computing sentence complexities, emotionality detection and many more. For context, the idea came up after watching the incredible talk "Inventing on Principle" by Bret…
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A few years ago, right after high school, I decided to try to make a simultaneous translation app for Android as a side project, it took longer than expected (about 2 years) and I had to make a lot of compromises (I had to use Google's API and therefore make users use a developer key because at the time there were no free solutions for speech recognition and translation that had good quality). At the end of university, I decided to pick it up again and finally, using OpenAi's Whisper for speech recognition and Meta's NLLB for translation (with both running locally on the phone), I managed to…
2024 · github.com
- 3LP
Hi! I am doing a learning project, attempting to build an imperative language (and interpreter). The end product will be useless for others, I just want to learn and better understand how to build imperative languages. :) If someone else shares this interest and want to give some good hints on good resources I would be grateful. Currently I am looking at an awesome text by Bob Nystrom. All suggestions and tips on resources are most welcome. I am very much a beginner in this, but I find this topic very fascinating. Mail me or post links here! Cheers! You can try a beta version Online at…
2020
- 4AD
Hi all, I threw together a small prototype I am calling “Notepad.ai”. A new take on UIs for interacting with LLMs. While I enjoy using LLM’s in the chat format I wanted to see what it would be like to do it in a more long form style. It let’s you write in a pretty free form, much like Window’s Notepad, but you can choose to hit ctrl+[ to analyze the text with a preset prompt of your choosing. It has a few other small features. It’s WIP and very experimental. I would appreciate any feedback or thoughts. Video: https://youtu.be/ntdlgFmSxQY Live Demo:…
2024 · github.com
- 5PR
http://www.quill.org We are a nonprofit organization, and Quill is a free, open source tool. We are looking for feedback on our user experience and our code optimization. Critical feedback is appreciated. If you'd like to check out the code: https://github.com/empirical-org/quill
2013
- 6AS
We explored a novel method to gauge the significance of tokens in prompts given to large language models, without needing direct model access. Essentially, we just did an ablation study on the prompt using cosine similarity of the embeddings as the measure. We got surprisingly promising results when comparing this really simple approach to integrated gradients. Curious to hear thoughts from the community!
2023 · heatmap.demos.watchful.io
- 7FT
After six months of work, I am here again presenting Fluent – a tiny lang which is optimized for differentiable & reactive programming. Since I am not Conal Elliot, don't expect a beautiful theoretical unification of FRP and AD from first principles. Rather, a horrific monster that holds together mostly because a lot of duct-tape. The link points to the semi-interactive tour of the language, which will get the job done much better than I could in here. Hope you hate/like it!
Jul 2026 · mlajtos.github.io
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www.glassbow.com I made a website that offers bilingual books in paragraph-by-paragraph form (english paragraph, translated paragraph, english paragraph, etc.) I started with public domain books and am currently negotiating contracts with new authors, and moving towards established authors quickly. I want everyone in the world to speak every language, so I started here to have enough money to study NLP (Natural Language Processing) science professionally while also creating a fun/visibly practical and measurable way for others to practice languages quickly. NLP software is used in…
2018
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2018 · nlpoverview.com
- 10RN
Hey! Just launched my new project. The cmaps platform was created after a long period of research and development in the field of education. It's known that human thinking is not linear, but rather associative. Without realizing it, we are constantly making connections between the things we learn. I believe that the best way to learn is to make these connections explicit. Instead of studying and taking notes in a linear fashion, we should be able to create a map of the concepts we are learning. This way, we can see the big picture and understand how everything is connected. I can say that…
2023 · cmaps.io
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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
- 12BA
Writing is hard, and it's tempting to just let AI do the whole thing So I built an Obsidian plugin that keeps AI in its place Highlight a sentence, get some options, pick the one you like Sharpens your writing instead of automating it
Jun 2026 · rephrasethis.co
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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
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I'm building a Telegram bot to practice Dutch. GPT-4o-mini kept picking vocabulary words I already knew, so I built a classical NLP pipeline to do it instead. It takes a short text + learner level (A0–B1) and returns the best words to study, using Stanza for parsing and corpus frequency ranks (SUBTLEX-NL, srLex, SUBTLEX-US) for scoring. Wins at A1/A2, loses at A0 where the LLM picks more obvious words. I also tried adding multi-word phrases (ADJ+NOUN, VERB+NOUN, phrasal verbs) backed by NPMI-scored collocation whitelists. Couldn't beat GPT there because it just "knows" which phrases…
Mar 2026 · huggingface.co
- 15RA
A friend and I spent a month throwing together a visual rule engine product– wanted to share it with HN today. I've been building automation tooling for a few years at prefix.app and one of the messier things both to support and to teach users was around encoding logic in their automations– most folks get a hold of the basic concepts quite easily, but every (visual) automation tool out there seems to have their own way of actually pulling it all together. For small decisions those work great! But for bigger decisions and more complex logic we don’t think it makes much sense to be embedding…
2022 · rulebricks.com
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I've seen a lot of comments about how complex frameworks like LangChain can be. Over the holidays, I wanted to see how minimal an LLM framework could get if we stripped away everything non-essential. The result is an LLM framework in just 100 lines of code. These 100 lines capture what I see as the core abstraction of most LLM frameworks: a nested directed graph that breaks down tasks into multiple LLM steps, with branching and recursion to enable agent-like decision-making. From there, you can layer on more advanced features like agents, RAG, task decomposition, and more. I’ve intentionally…
2025 · github.com
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Hello everyone. I built an AI-based toolset to help me with language learning. I wanted to be able to easily generate very specific study content and get rapid feedback on my writing. Unlike most language apps, it doesn’t actually try to teach you a language. Instead, it’s a collection of tools for people at an intermediate level who already have a learning process It’s particularly great for Anki users. There a demo video on the login page, and I set up anonymous auth for people who want to test it without creating an account. Feedback and bug reports welcome.
2025 · drillapp.xyz
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Hi HN, Our research team just released the best performing and most efficient reranker out there, and it's available now as an open weight model on HuggingFace. Reranker v2 was designed specifically for agentic RAG, supports instruction following (our v1 was the first to introduce this), and is multilingual. Along with this, we're also open source our eval set, which allows you to reproduce our benchmark results. By releasing these datasets, we are also advancing instruction-following reranking evaluation, where high-quality benchmarks are currently limited. Please give it a try and let us…
2025 · huggingface.co
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Hi there, I've decided to jump on the AI train and put something together with low effort & high reward, to see if it can get any traction. What do you think? Is it a promising area? Do you guys have ideas for me? There is obviously going to be sea of LLM generated content out there and one project adding up to it might not necessarily be what world needs. In the same time there is something intriguing about the area. Well, please play with it and let me know what y'all think. Much appreciated.
2023 · canonica.ai
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I've been wondering how I could use LLMs to help me write, without taking my own voice away. I arrived at a workflow where the AI has strict instructions not to give me any text, just to give me tips, but it was clunky to see which parts of the text the critique referred to. To solve it, I made Lucid. I made it mostly for myself, but I added a "bring your own key" system for others to use it. I hope you like it!
May 2026 · writelucid.cc
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Today I come to you on this beautiful Friday with a freshly hardthink-ed solution to a proliferous problem plaguing our world: the loss of original voice. The blanket of blandness slowly suffocating centuries of writing. Or to put it bluntly: AI writing is trash. It is disrespectful to expect ME to read something YOU could not even be bothered to write (or likely even read). The lingering human connection that remained resilient on the internet - through years of SEO optimisation, propaganda bots, ads, regional firewalls, politics, censorship - is now being diluted even further. Many of the…
Feb 2026 · tropes.fyi
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Hey HN! I've spent the past year full-time building Knowing, a tool for interacting with LLMs directly inside hierarchical structures instead of the usual prompt-response format. The idea started because I realized how much more intuitive it felt to build concept hierarchies continuously—no more endless copy-pasting or wondering how everything connects. The journey’s been a struggle. While I see huge potential in structuring AI interactions this way (writing books fast, planning projects, or organizing ideas), it’s been hard to pin down clear use cases in the market. I’m also working in near…
2024
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Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift
9d ago · github.com
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An all-in-one blog for learning LLM ins and outs: tokenize, attention, PE, and more Project I've been diving deep into the internals of Large Language Models (LLMs) and started documenting my findings. My blog covers topics like: Tokenization techniques (e.g., BBPE) Attention mechanism (e.g. MHA, MQA, MLA) Positional encoding and extrapolation (e.g. RoPE, NTK-aware interpolation, YaRN) Architecture details of models like QWen, LLaMA Training methods including SFT and Reinforcement Learning If you're interested in the nuts and bolts of LLMs, feel free to check it out:…
2025 · comfyai.app
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