So I put together a simple Digital Asset Manager (DAM) where:
* Images are uploaded and vectorized using CLIP
* Vectors are stored in Lance format directly on Cloudflare R2
* Search is done via Lance, comparing natural language queries to image vectors
* The whole thing runs on Fly.io across three small FastAPI apps (upload, search, frontend)
No Postgres or Mongo. No AI, Just object storage and files.
You can try it here:
* https://metabare.com/
Or see the code here:
* https://github.com/gordonmurray/metabare.com
Would love feedback or ideas on where to take it next — I’m planning to add image tracking and store that usage data in Parquet or Iceberg on R2 as well.
So I put together a simple Digital Asset Manager (DAM) where:
* Images are uploaded and vectorized using CLIP
* Vectors are stored in Lance format directly on Cloudflare R2
* Search is done via Lance, comparing natural language queries to image vectors
* The whole thing runs on Fly.io across three small FastAPI apps (upload, search, frontend)
No Postgres or Mongo. No AI, Just object storage and files.
You can try it here:
* https://metabare.com/
Or see the code here:
* https://github.com/gordonmurray/metabare.com
Would love feedback or ideas on where to take it next — I’m planning to add image tracking and store that usage data in Parquet or Iceberg on R2 as well.