Alternatives
Products that do what GitLFS taking forever? No prob, heres the best AI data versioning tools does
Hi HN! I just released a blog on the fastest, easiest, and most collaborative AI data version control tools out there. If you’ve been iterating on AI datasets lately, you know how annoying and difficult it is to version and share your data. If you want a detailed comparison on the best data exploration and versioning options from Oxen.AI (where I am currently building a solution), Hugging Face, DVC, etc. check out the blog and lmk what you think:) Here’s the link: https://www.oxen.ai/blog/the-best-ai-data-version-control-to...
- 1IR
Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…
2025 · github.com
- 2WS
I’ve been in the MLOps space for ~10 years, and data is still the hardest unsolved open problem. Code is versioned using Git, data is stored somewhere else, and context often lives in a 3rd location like Slack or GDocs. This is why we built XetHub, a platform that enables teams to treat data like code, using Git. Unlike Git LFS, we don’t just store the files. We use content-defined chunking and Merkle Trees to dedupe against everything in history. This allows small changes in large files to be stored compactly. Read more here:…
2022 · xethub.com
- 3SV
I've already posted yesterday, but I'd really love to get comments, any kind of questions, suggestions and help would be greatly appreciated as it's an Open Source project of mine (and was for others during my studies at the University of Konstanz 6 years ago). Since then I spent countless ours to bring forth the idea of a versioned storage system, especially well suited for analytical tasks for timd-varying data. Especially I'd love to discuss what documentation you need, which next steps are necessary (JSON, Cloud...), API additions or changes... I've updated the README quiet a bit, such…
2018
- 4IB
2025 · github.com
- 5OA
Hi HN! This is Greg, founder of https://oxen.ai. Oxen at it's core is a version control system built from the ground up optimized for machine learning data. Just like other VCS, Oxen can a building block for a lot of workflows. We are a couple ex-IBM Watson engineers who have seen the waves of AI and know the importance of matching the correct data to the correct model deployment in ML workflows. The commands are modeled one-for-one after git, but can handle large unstructured datasets of images, videos, audio, text, as well as tabular data. If you have a few minutes, go to…
2023 · github.com
- 6MA
I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com
- 7OS
Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
Sep 2025 · metabase.com
- 8DO
Hi HN! I am an undergrad student trying to build interesting things with AI. Recently, I was looking for a dataset I could use for a new project. I realized that it is really frustrating to go through all the government websites (with terrible UX) just to find some usable dataset. I set out to build a GitHub for datasets, named DataHub. Right now, we have more than 1000 datasets from Montréal and New York City, with more cities coming soon (and possible government agencies). All of this is wrapped into a powerful search. It's a breeze to find a dataset to work on. I'd be interested to know…
2017
- 9VC
Hi HN! We just launched a GitHub integration that scales your Git repos to handle 100 terabytes of files in a single repo. XetData enables data scientists and machine learning engineers to version code, models, and datasets together. Most teams have glued together clunky workflows using S3, DVC, Git, Git LFS, and other tools and make true reproducibility difficult: https://news.ycombinator.com/item?id=37694701 We instead embrace and extend Git so end-users don’t need to learn a new tool and a new set of commands. Our implementation is similar to Git LFS, where we take over the…
2023
- 10WA
Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026
- 11FC
Hi there, I've created this side project to make it easier to find interesting repositories using AI. There's still a lot of work to be done to improve it, so any suggestions for enhancements would be greatly appreciated. Thank you!
2024 · awesome-repositories.com
- 12IB
I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…
2025 · codii.dev
- 13IB
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
- 14IB
Over the last 3 weeks, I built a website to organize 70+ AI tools into a searchable, reviewed, and categorized hub. Use case: I was constantly sharing AI tools with friends & colleagues, but the available directories felt outdated, shallow, or spammy. So I built my own: - Tools are categorized (e.g. writing, voice, code, automation) - Marked clearly as free/paid - Includes brief reviews, ROI notes, and usage tips - Fully searchable and updated daily - Working on tool ratings, comparisons, and a “trending” leaderboard Website: https://www.toolsverse.tools/ I’d love…
2025 · toolsverse.tools
- 15LO
Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026
- 16UI
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
- 17SS
I'm developing a storage system for versioning data at the subfile level, especially well suited for SSDs due to its log-structured COW nature. It implements a novel versioning algorithm called sliding snapshot, a diff-algorithm which makes use of our stable record-identifiers and optionally hashes, another diff algorithm for importing similar XML-documents as a versioned resource as well as novel XPath axis to navigate not only in space, but also in time. Recently, I've implemented a higher level, asynchronous REST-API with Kotlin (Coroutines) and Vert.x in a seperate module. The system is…
2018
- 18GA
Hey folks! So, we're just a tiny team of 4 developers who've been coding our hearts out for the past 2 years. Last May, we took the plunge and clicked our way through Stripe Atlas to officially become Giz Inc. (Yeah, we're as surprised as you are.) * We've been working on this thing called GizAI... We opened the beta today. - It's kinda like a Swiss Army knife for your digital life, but with AI. Nothing too fancy, just trying to make life a bit easier, you know? - We threw in some AI chat stuff (GPT-4o, Gemini, Claude 3.5 the usual suspects), and it can generate images, videos, and audio.…
2024
- 19MA
Hey HN! I built a thing and I'm really excited to share it. EDIT: I meant to link to the github, not the website: https://github.com/max-hq/max Like many of us here, I've been commonly reaching for a pattern of "pull data into db; give it to claude" for a while, whilst doing data spelunking or building tooling - for the same reasons mentioned by thellimist over here [1] and a few other recent "CLI vs MCP" posts. To that end, about a month ago I started building a project called `max` - its goal is to cut the middleman and schematise any data source for you. Essentially,…
Mar 2026 · max.cloud
- 20QA
I wanted to make you all aware of the latest release of Qri -pronounced ‘query’- (0.6.1), a free & open-source dataset version control system / network for finding, collaborating on & publishing open datasets on IPFS. We’re finally ready to recruit users (crash test smarties) to test drive qri & let us know what they love / don’t love / what’s broken. You likely have questions about qri. Hope this helps: Qri tackles four common data problems: - Discovery: Can I find data I’m looking for? - Trust: Can I trust what I’ve found? - Friction: Can I make this work with my other…
2018
- 21VC
Greetings friends! We at Glitch have been hard at work on something very important to us: making software tools easier to use and more accessible. We all remember how hard it was to get started using version control (or maybe we've blocked it from our minds...) but Glitch Rewind makes it easy to get started. It's a fun, simple, and visual representation of your project's history through time. Though the interface is simple it still has the full power of git under the hood! Our Medium post: https://medium.com/glitch/reinventing-version-control-with-g... Or try it out right…
2018
- 22AA
Hi guys, For a few months now I've been working on a web GUI to build, visualise, train and share deep neural models. It's currently reaching a state where opening it for Beta release make sense. Currently the tool support: - Fully connected and Convolutional architecture - Cloud and local, saving / loading of models - Edit / delete layers - Visualise Convolutional layers filters - Freeze / Unfreeze layers - More datasets: Fashion MNIST, QuickDraw(10 and 30) The editor can be found here: https://aifiddle.io. Your feedback, ideas, suggestions are greatly useful, so…
2019
- 23IB
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
- 24WB
Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…
2024 · dorik.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →