Ipfrs
A "Thinking" IPFS in Rust with Built-In Vector Search
Details
- External ID
- 46691302
- Source
- HN
- Company
- —
- Product
- Ipfrs
- Website domain
- github.com
- Launched
- Jan. 20, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.09617918313570488
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
I built a "Thinking" IPFS in Rust.Unlike standard IPFS, IPFRS supports built-in Semantic Search (HNSW) & Logic Programming on the DAG. You can query content by meaning, not just hash.Looking for feedback on the architecture!Blog: https://medium.com/@kitasanio/beyond-static-storage-why-i-bu... Code: https://github.com/cool-japan/ipfrs#RustLang #IPFS #Web3 #AI #RAG
Enrichment
- Theme
- database infrastructure and developer tools
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- ipfs with vector search in rust
- Manually corrected
- False
Could you build this?
No IPFRS builds a custom IPFS implementation in Rust with native HNSW vector search and logic programming on content-addressed DAGs. This requires deep systems programming, P2P networking, and vector index algorithmic expertise.
What it would actually take: Building this requires Rust, libp2p, custom IPLD DAG traversals, an in-memory or disk-backed HNSW vector index (e.g., custom or wrapping hnswlib), and a Datalog/logic query engine operating directly on cryptographic hashes. The hard parts are distributed indexing, deterministic DAG state sync, and integrating vector similarity search over decentralized content-addressed storage. It requires advanced Rust systems engineering and distributed systems knowledge.
Discussion
1 comment analyzed.
Competitors
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Attention rank: #92 of 92 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 83 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.