I'm building a simple way to package, collaborate, and deploy ML models

What it does

Discover KitOps: an open-source DevOps tool that packages and versions your AI/ML models, datasets, code, and configurations into reproducible artifacts called ModelKits. Simplify your AI pipeline with standardized packaging and deployment.

KitOps gives your whole agentic stack the same rigor you already apply to containers: one signed, versioned OCI artifact that runs anywhere, from public cloud to fully air‑gapped. Enterprise AI is no longer just models. Teams are deploying agents, MCP servers, skills, and policies — all of which need the same versioning, security, and governance as container images. KitOps packages them all as standard OCI artifacts in the registries you already run. From proprietary repos that trap your AI artifacts in closed ecosystems to fragile ad‑hoc approaches that bypass your security toolchain — KitOps brings models, agent skills, MCP servers, datasets, and configuration under one governed workflow.…from kitops.ml

In the maker’s words, at launch

Heya HN, after spending +1 year building an ML-driven analytics product (that didn't pan out unfortunately), I've pivoted to solving a problem my team and I found while building the previous product … why the hell is it so hard to move a model from a Jupyter notebook, to a development server, then to a production…

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  Opper AIJul 2026 · opper.ai · ▲229

  Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…

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  Plexe2025 · plexe.ai · ▲273

  Build and deploy ML models in English

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  Modelbit2023 · modelbit.com · ▲125

  Heroku for Data Science, from the founders of Periscope Data

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  Compile ML models into dependency-free source code for easy deployment2023 · waveworks.dk · ▲37

  I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…

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  New approach for CI/CD/compute system2025 · egdaemon.com · ▲22

  I've been tired with the current options on the market for awhile and decided to do something about it after the running into the disaster that is MLOps at my last two startups and having to manage a multiple operation platforms both for my fellow ML engineers, the general application CI/CD and orchestration layers while simultaneously building the application itself. Its still extremely early for the product but its functioning and is well on its way. I'd love feedback on the approach and peoples thoughts on the problem space. Personally my irritations have been in the poor tooling,…

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  DS2.ai2021 · ds2.ai · ▲76

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  /dev/null▲490

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  Run full iOS 16.5 firmware on Android Devices▲429

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  Talanoa▲346

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  🌐 The Internet Computer! Free, Open-Source, and Self-Hostable. - HeyPuter/puter

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  Microlaunch▲1,115

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  Milestone▲1,113

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  Hunted Space▲1,004

  Insights on Product Hunt launches

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  Creatie▲850

  The one-stop product design tool amplified by AI

  AI · 2024 · creatie.ai