Chonkie Cloud – No-nonsense chunking now on the the cloud
Hey HN, We’re the developers of Chonkie, a powerful and easy-to-use chunking library. Last November, we introduced Chonkie OSS here on HN (https://news.ycombinator.com/item?id=42100819) and got some fantastic feedback. Today, we’re excited to share Chonkie Cloud, a fully hosted service for chunking, along with new tools to make building and debugging RAG systems easier than ever. --- A quick recap for context: We launched Chonkie as an open-source project late last year. A few weeks ago, we decided to go full-time on it. Unfortunately, this shift wasn’t as smooth as we had…
Chonkie Cloud – No-nonsense chunking now on the the cloud launched on April 15, 2025 with 6 votes and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
What it does
In the maker’s words, at launch
Hey HN, We’re the developers of Chonkie, a powerful and easy-to-use chunking library. Last November, we introduced Chonkie OSS here on HN (https://news.ycombinator.com/item?id=42100819) and got some fantastic feedback. Today, we’re excited to share Chonkie Cloud, a fully hosted service for chunking…
Does a similar job
all alternatives →
Chonkie – A Fast, Lightweight Text Chunking Library for RAG2024 · github.com · ▲199I built Chonkie because I was tired of rewriting chunking code for RAG applications. Existing libraries were either too bloated (80MB+) or too basic, with no middle ground. Core features: - 21MB default install vs 80-171MB alternatives - 33x faster token chunking than popular alternatives - Supports multiple chunking strategies: token, word, sentence, and semantic - Works with all major tokenizers (transformers, tokenizers, tiktoken) - Zero external dependencies for basic functionality Technical optimizations: - Uses tiktoken with multi-threading for faster tokenization - Implements…
- CCChunk – Code sandbox for back-end devs2022 · chunk.run · ▲96
Chunk co-founder here. We spent the last 2 weeks building this to scratch our own itch: As developers, we often have problems that could be solved just by running a few lines of code. Sometimes, running this code on your local machine is fine. But other time, the code need to run automatically reacting to external events or to run continuously, which means, it needs to run on a server somewhere. So now, you have to find a cloud provider, to package or build the code and finally to deploy it. All of that for what could be literally be 4 lines of code. We couldn’t find an easier way to do…
- SAShhhbb, an SSH BBS2023 · donuts-are-good.github.io · ▲188
Hello all :) I made this BBS for fun and thought you all would enjoy it. It's not perfect, but it's been a fun exercise! see it: https://asciinema.org/a/Emg6SWrXMV6cehfQxrw1GRu75 try it: ssh -p 2223 shhhbb.com host it: https://github.com/donuts-are-good/shhhbb/releases/latest why? Every year I challenge myself in some new way, this year it is to push one project per week. You might recognize my static site generator [0] or my releaser for go [1] from previous posts as one of these weekly projects. If you want to join me in doing this, it's…
- ACAdvanced Chunking in JavaScript/TypeScript with Chonkie2025 · ▲10
Hi HN, We’re Shreyash and Bhavnick. We built Chonkie, an open-source library for advanced chunking and embedding of text and code. It was previously Python-only, but we just released a TypeScript version: https://github.com/chonkie-inc/chonkie-ts Many AI projects in JS/TS (like those using Vercel's AI SDK or Mastra) rely on basic text splitters. But better chunking = better retrieval = better performance. That’s what Chonkie is built for. Current native chunkers (in TS): - Code Chunker – handles Python, TypeScript, etc. - Recursive Chunker – rule-based, hierarchical…
ChunkHound, a local-first tool for understanding large codebasesJan 2026 · github.com · ▲114ChunkHound’s goal is simple: local-first codebase intelligence that helps you pull deep, core-dev-level insights on demand, generate always-up-to-date docs, and scale from small repos to enterprise monorepos — while staying free + open source and provider-agnostic (VoyageAI / OpenAI / Qwen3, Anthropic / OpenAI / Gemini / Grok, and more). I’d love your feedback — and if you have, thank you for being part of the journey!
Every open source tool from the "What's HN working on" thread2024 · github.com · ▲169Public datsets made with https://getomni.ai/. Contribute to getomni-ai/datasets development by creating an account on GitHub.
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