I'm a product manager-turned-solo dev, and I'm building Promptsref, a curated Midjourney SREF library with full prompts, images and examples.

Promptsref helps you: Quickly discover good SREF styles without trawling X/Discord/paid PDFs Reuse full prompts + SREF to reliably reproduce a style Explore by “vibe” (comic, cyberpunk, film still, etc.) instead of guessing keywords

Why I built it： I started Promptsref after getting frustrated with Midjourney. As a beginner I kept seeing amazing styles, but they were: 1. buried in long X threads or Discord chats 2. shared as just a code or a partial prompt 3. almost impossible to reliably reproduce later I wanted a place where I could save only the styles that consistently look good, with the exact prompt + SREF + example images in one place. That slowly turned into this project.

How it works： For each SREF on Promptsref I store: the SREF code, the full prompt I used, example images (and sometimes video styles) You can browse by tags and “style vibe”, copy a code you like, paste the full prompt into Midjourney, and usually get a similar result in a few generations. I update the library based on the styles I use in my own work and what the small community around the site seems to like.

Tech details: Frontend: Next.js, deployed on Vercel Backend: Supabase/Postgres to store SREFs, prompts, metadata and favorites

Things I’ve learned / had to work around: Designing search for non-technical creatives is harder than just “add a search box” Keeping SREFs useful when Midjourney updates models requires pruning and re-curating People care a lot about consistency (series, brands, comics), not just one-off pretty images

What I’d love feedback on: If you use Midjourney, I’d really appreciate feedback on: Is the search / navigation understandable? What information about a style do you wish you saw first? Is there a better way to show series / collections of styles? Any obvious technical improvements you’d make to the stack or data model?

Link: https://promptsref.com

Thanks for reading, and I’m happy to answer any questions about the implementation, data model, or the SREF curation process.

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