Step 01
Search by what you want to see
Type a description in plain English — "dramatic golden hour portrait with film grain" — and pgvector finds prompts that produced visually similar images.
Fig · Promere.app
Shipped — Live in beta
Promere.app
The prompt intelligence platform — search, reverse-engineer, organize, and connect your AI prompts.
The problem
What was broken
AI image creators waste hours on prompt trial-and-error. You see a generated image you love, but you don't know what produced it — and even if you find a prompt that works in Midjourney, it doesn't translate to Flux or Seedream.
There's no shared intelligence layer for prompts: no way to search by what you want to see, no way to extract a recipe from an image, no way to organize what's working across models. Every D2C marketer, content creator, and AI artist rebuilds the same wheel with every project.
The build
What I made
Promere is a prompt intelligence platform built on three core capabilities: semantic search across 6,800+ classified images, reverse-engineering any image into its 8-element prompt recipe, and model-specific formatting that translates the same recipe across 10 different AI models.
Where existing tools are either prompt galleries or generation engines, Promere is the layer underneath — the structured intelligence that makes prompts portable, searchable, and reusable across models. Built with semantic vector search on top of a classified visual taxonomy, it treats every prompt as data, not text.
Key decisions: chose pgvector over a dedicated vector database for cost simplicity, used Claude Sonnet for reverse-engineering because prompt extraction quality is non-negotiable, and built the entire platform single-handed in Cursor with Claude as the architecture partner.
How it works
The pipeline, step by step
Step 02
Reverse-engineer any image
Upload a reference image and Promere breaks it into 8 elements: subject, lighting, style, composition, mood, technical settings, color palette, and negative prompt.
Step 03
Format for any model
Same recipe, different syntax. Switch between Flux, Midjourney, Stable Diffusion, DALL-E, Nano Banana Pro, Seedream, Grok, and three more — each formatted to that model's prompting conventions.
Step 04
Build your library
Save prompts, organize by collection, search your saved arsenal, and access from anywhere.
Step 05
Learn the vocabulary
A visual glossary teaches what "anamorphic," "subsurface scattering," and "golden hour" actually look like — with real examples.
Proof
The numbers
AI images classified
6,800+
AI models supported
10 — Flux, Midjourney, SD, DALL-E, Nano Banana Pro/2/Flash, Seedream 4.5/5 Lite, Grok, Ideogram
Prompt elements per image
8 — subject, lighting, style, composition, mood, technical, color, negative
Search-to-result latency
Sub-second on semantic search
Build cost
$120 in API credits, single-founder execution
The stack
What it runs on
Frontend
- Next.js 15
- React
- Tailwind CSS
- Lucide React
- Recharts
Backend & data
- Supabase (Postgres + pgvector)
- Auth + Row-Level Security
AI models
- Claude Sonnet (reverse-engineering)
- OpenAI text-embedding-3-small (semantic vectors)
- Claude Haiku (classification)
Storage & infra
- Cloudflare R2 (image storage, 5,886 WebP thumbnails)
- Vercel (hosting + edge functions)
Built in
- Cursor with Claude as architecture and code partner
Supabase + pgvector eliminated the cost and complexity of a dedicated vector database. Cloudflare R2 made image storage essentially free at scale. Claude Sonnet was non-negotiable for reverse-engineering quality — the prompt extraction has to be accurate or the entire feature collapses.
What's next
Where this goes
Launching publicly across r/StableDiffusion, r/PPC, and Product Hunt to validate which audience converts first: AI artists looking for prompts, or D2C marketers scaling ad creative.
Building user submission for community-contributed prompts, model comparison views (same prompt across 10 models, side by side), and an API layer for ComfyUI and n8n integration.
Long-term, Promere becomes the connective layer between prompt creation, model execution, and workflow automation — the intelligence platform underneath every AI image workflow.
Sign-off
Want to build something like this?
Same operator. New tools. manishdwivedi9639@gmail.com