MeiGen launched a searchable library of trending X prompts with filters for models like Nano Banana and Midjourney, plus an open dataset you can fork. Build a reusable archive here if your best prompts live in likes and bookmarks.
MeiGen is a prompt archive for creators who already source ideas from X but do not want to manually save and sort every useful post. In the launch thread, the project is framed as a weekly scrape-and-curate workflow: popular prompt posts are collected, organized, and made searchable instead of getting buried in social feeds.
The initial product pitch is practical rather than model-specific. MeiGen's feature list highlights weekly updates, model filters, one-click generation, saved collections, and visible like and view counts so users can judge which prompts are actually getting traction.
The more interesting part is the export layer. The project's open dataset says the full dataset is open source and can be used, forked, or built on, which turns MeiGen from a browsing tool into a reusable prompt corpus for studios, researchers, or anyone building their own reference library. The public site lives at MeiGen site.
That matters because prompt libraries usually break at the organization step. MeiGen's demo clip shows the basic pain point clearly: good prompt posts are easy to discover and hard to retrieve later. By adding model filters and an exportable dataset, MeiGen is packaging prompt hunting as a repeatable archive instead of a bookmarks habit.
If you spend time on X looking for AI image prompts, MeiGen can save you a lot of time. MeiGen makes it easy to find great prompts fast. New drops every week. Hand-picked. Easy to search. Ready in one click. → meigen.ai
The full dataset is 100% open source. github.com/jau123/MeiGen-… It includes every trending prompt and all the data. You can use it for free, fork it, or build on top of it. This is how collecting prompts should have worked from the start.
