LLM

The Problem (Pain Level: 5/10) In the age of information overload, reading news and articles takes too much time: Dozens of newsletters arrive daily No time to read long articles Just want to quickly grasp the key points RSS feeds keep piling up Busy professionals want to quickly understand the essentials. Target Market Global Knowledge Workers - Estimated TAM $1B+ Professionals subscribed to many newsletters Analysts monitoring multiple sources RSS reader users Users interested in information curation What is AI News Summarizer? A service that summarizes news, articles, and blog posts into 3 bullet points using AI. ...

The Problem: Vector DB Costs and Complexity When building LLM applications, “memory” is essential. It’s used for conversation history, context maintenance, and knowledge retrieval. Currently, most developers rely on Vector Databases: Pinecone (cloud) Chroma (local) pgvector (PostgreSQL extension) Milvus, Qdrant, etc. But this approach has issues: Cost: Cloud Vector DB expenses scale quickly Complexity: Requires embedding generation, indexing, and search pipeline Latency: Additional network RTT Infrastructure: Server management overhead The Solution: Client-Side O(1) Memory Remember Me is an LLM memory library that runs client-side without Vector DBs. ...