Alternatives
Products that do what CRAISEE does
Mean it. All At Once.
- 1

- 2

- 3

- 4

- 5

- 6OP
Open Prompts is the dataset used to build krea.ai. The data comes from the Stability AI Discord and includes around 10M images from 2M prompts. You can use it for creating semantic search engines of prompts, training LLMs, fine-tuning image-to-text models like BLIP, or extracting insights from the data—like the most common combinations of modifiers.
2022 · github.com
- 7

- 8

- 9

- 10AO
Hey HN, My workflow for any complex queries is to ask it in multiple AI chats (Gemini, Claude, o3,..) in parallel and then continue the conversation with the chat response that I found the most useful. I built a simple open source app that queries 10+ AI models at once and summarizes their answers with a selected combiner AI model. There's a GIF in the github repo that shows it in action. You can try it on your local machine: https://github.com/Nexarithm/multi_model_chat If you are interested, I also made a detailed blog post on technical details, feature of the personal…
2025 · github.com
- 11

- 12

Use KlingAIO, the all-in-one AI video & image generator.
Feb 2026
- 13
25+ AI tools for images, videos, speech, music & chats
Oct 2025
- 14

- 15
Multi-model AI images (Seedream 5.0) + video via Kling
Jun 2026 · seedream4.video
- 16
- 17RA
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
- 18

- 19

- 20

- 21

- 22

- 23

- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →