Alternatives
Products that do what TUEN — Ultra does
The only thing which you are looking to generate Ai content
- 1
- 2
- 3
- 4
- 5AP
Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…
2023 · play.vercel.ai
- 6
- 7
- 8RL
Hello Hacker News! We're Yangqing, Xiang and JJ from lepton.ai. We are building a platform to run any AI models as easy as writing local code, and to get your favorite models in minutes. It's like container for AI, but without the hassle of actually building a docker image. We built and contributed to some of the world's most popular AI software - PyTorch 1.0, ONNX, Caffe, etcd, Kubernetes, etc. We also managed hundreds of thousands of computers in our previous jobs. And we found that the AI software stack is usually unnecessarily complex - and we want to change that. Imagine if you are a…
2023 · lepton.ai
- 9
Generate images in bulk using ChatGPT's new image model
2025
- 10
- 11HA
We’ve open-sourced Heygem, a fast and free alternative to Heygen. It generates photorealistic AI avatar videos from a photo and voice — no training, no watermark, runs locally on 8GB GPUs, and supports 4K output. Ideal for developers building AI avatar pipelines with minimal setup. Built by the team behind duix.com. Feedback and contributions welcome!
2025 · github.com
- 12OS
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
- 13PA
Hello Hacker News! I am Bertrand from Pruna AI. With my associates, John, Rayan, and Stephan, we are fellow researchers in AI efficiency and reliability coming from TUM. We are building an optimization engine that combines compression methods (e.g. quantization, pruning, compilation, batching…) in the aim of saving compute power when running AI models. This optimization engine take one base model as input and returns a compressed model as output. It aims to help for two things: - Make various AI models faster and/or smaller for various hardware (because they can require significant…
2024
- 14IW
Hi HN, we’re Peter, Monica, Elliot, and Alex from Iterate.World. We’re building a multiplayer AI image generator. Check it out here: https://iterate.world We’ve become obsessed with generative AI. In the last year it feels like “AI” went from highly specialized, domain specific rankers and classifiers to intelligent feeling creative tools that we can build more general apps around. While the models are incredible, it still feels like day 0 for applications and interface. Our vision is to build an accessible progressive disclosure interface that lets beginners make great images then…
2023
- 15UA
Hi HN! I've got the barebones of a service running on top of Stable Diffusion XL. I can cheaply run image generations at 1024x1024. And of course there's a limit to how fast I can generate them given the request queue and limited GPUs, but the service is cheap enough that I'm happy to run it out of pocket for now. Let me know your thoughts, I hope you enjoy the service!
2023 · unstock.ai
- 16CE
Hi all, I open sourced my toy project that runs Generative AI models LOCALLY in the side panel of a Chrome extension. The Chrome extension uses Transformers.js to run models in browser under the hood. I've integrated and tested these models so far. \1. LLM: Llama 3, Phi 3.5, Qwen 2.5, SmolLM2 \2. Reasoning: DeepSeek R1 \3. Multimodal LLM: Janus \4. Speech-to-Text: Whisper On an M1 MacBook, DeepSeek R1 1.5B runs at ~30 tokens/sec If you're interested in, you can download the extension from chrome web store or clone my github repository. \1. chrome web store:…
2025 · github.com
- 17
- 18GO
LLMs are better at being the "mouth" than the "brain" and I can prove it mathematically. I built a deterministic graph engine that offloads reasoning from the LLM. It reduces token usage by 89% and makes a tiny 0.8B model trace enterprise execution paths flawlessly. Here is the white paper and the reproducible benchmark.
Mar 2026 · github.com
- 19GI
2022 · github.com
- 20IB
Hi HN, I built Lungo, a tool that generates image-based slideshows and UGC-style videos using AI. The system creates visuals and assembles them into structured, shareable content based on a text prompt. What it does: • Generates images from prompts using a custom diffusion model • Constructs slideshows or short-form videos with transitions and optional voiceover • Handles layout, text generation, and multi-language support • Outputs are consistent in resolution and format, ready for distribution I built with a React, firebase, OpenAI, Runway and ffmpeg. Feedback and questions welcome.
2025 · lungoai.com
- 21RA
Hi there, looking for feedback on my new project "Featherless.AI" The idea is to allow users to run all the models on hugging face instantly. Via the OpenAI API compatible endpoint. Why? Because its a real chore to download models and spin up GPUs, especially if you want to test multiple models. Not to mention GPUs cost multiple dollars an hour to rent. And if we want more people to use open source AI, we got to make it easier for them to try and play with all of them. So what if instead of spinning up dedicated GPUs per model (which is what every provider is doing) We can startup a LLM…
2024 · featherless.ai
- 22AA
Hey everyone - I'm currently building GenTube — the playground where creativity moves at lightning speed. We're making it possible for a billion people to create together instantly. Right now, we're offering unlimited, free generates - plus it only takes around two seconds per generate (much faster than Midjourney)!
2025 · gentube.app
- 23
- 24RA
We built RapidFire AI, an open-source Python tool to speed up LLM fine-tuning and post-training with a powerful level of control not found in most tools: Stop, resume, clone-modify and warm-start configs on the fly—so you can branch experiments while they’re running instead of starting from scratch or running one after another. - Works within your OSS stack: PyTorch, HuggingFace TRL/PEFT), MLflow. - Hyperparallel search: launch as many configs as you want together, even on a single GPU - Dynamic real-time control: stop laggards, resume them later to revisit, branch promising configs in…
Sep 2025 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →