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11,067 products · 19,805 snapshots
LinkingMem - v0.3.0

LinkingMem - v0.3.0

LinkingMem — Graph-native RAG Engine

Launched 22d agoProduct Hunt Website
Votes
11
Comments
11

What this means

2×Growing 2× faster than the typical comparable launch.
Compared to 308 comparable launches at the same age.
22Founder Conviction Index: 22 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
3 launchesSerial maker — this is their 3rd launch.
Best prior: LinkingMem — Graph-native RAG Engine (11 votes).

Prediction

Top-5 finish probability
15%
today
Projected end-of-day votes
11range 8–15
Trajectory
stable
Vote pace holding steady.
Speed vs peers
2×
308 comparable launches

About

A high-performance Rust + Python engine for graph-based RAG, unifying vector search, graph traversal, and LLM reasoning in a single system. Query → Embedding → HNSW retrieval → Graph expansion (BFS) → Ranking → LLM answer LinkingMem combines vector search and graph traversal in one tightly integrated pipeline, enabling fast multi-hop reasoning, efficient memory usage, and production-ready scalability.

Vote & comment velocity

Scores

Velocity6.6
Vote pace vs avg
Momentum6.6
Sustained over 6h
Virality24.6
Spread × engagement
Engagement100.0
Comments per vote

Founders

Kent Phung
@kent_phung
rep 34
Kent Phung
@kent_phung · hunter

Topics

GitHubProductivityDatabaseOpen Source