Pr

Promptsref – Curated Midjourney SREF library with full prompts

Hacker News

Promptsref – Curated Midjourney SREF library with full prompts

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.

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, code · Missing: mac, agents, macos
91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, paid · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Pr
Promptsref – Curated Midjourney SREF library with full prompts28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Promptsref – Curated Midjourney SREF library with full prompts

Hacker News1
Mi
Midjourney SREF Codes, Prompts Library50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Midjourney SREF Codes, Prompts Library

Hacker News1
Midjourney SREF Codes, Prompts Library
Midjourney SREF Codes, Prompts Library29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find best Style Reference Code, prompts and examples.

Product Hunt+21
Cu
Cujo's Curated SIDs68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cujo's Curated SIDs

Hacker News39
Entrepreneur List
Entrepreneur List68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A curated library of entrepreneurship knowledge

Indie Hackers2b2c
Unsection
Unsection47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover curated website section design library

TrustMRR139$1,398/moDesign Tools
Midjourney Prompts Generator
Midjourney Prompts Generator61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Type a plain idea. Get a production-ready Midjourney prompt

Indie Hackers1ai
Co
Community Curated Content Library for Learning52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Community Curated Content Library for Learning

Hacker News2
Cu
Curated Library of Expert AI Prompts for Claude/GPT/Gemini/Grok30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Curated Library of Expert AI Prompts for Claude/GPT/Gemini/Grok

Hacker News3
Go
Godcast – Midjourney for Podcasts43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Godcast – Midjourney for Podcasts

Hacker News1