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Vector

Vector

Intelligent search for macOS Privacy • Artificial Intelligence • Apple 4 115 Lightfield AI-native CRM that builds itself and does work for you Sales • Artificial Intelligence • CRM

Website vector.ethanlipnik.com
Overview

What it is

Lightning-fast search powered by on-device machine learning. Find apps, files, messages, and more — all without compromising your privacy.

Intent

I need it when

Reduce friction from using multiple menu bar tools and utilities throughout the day

Vector provides a single interaction model that intelligently routes queries to the right utility panel (maps, contacts, calendar, weather) based on context, eliminating the need to switch between separate applications

Search personal files and messages by meaning without sending data to cloud servers

Vector performs semantic search and embeddings entirely on-device using local ML models, allowing natural language queries across files and messages while keeping personal content private

Replace Spotlight with a faster, more intelligent macOS search launcher

Vector is a native macOS launcher that ranks search results by intent rather than string matching, providing instant app launching and semantic file search while maintaining the native feel of macOS

Customize a launcher to match personal workflow and desktop habits without complexity

Vector offers deep customization including panel placement, source configuration, shortcut control, and privacy settings, allowing users to tune the launcher to their specific needs without overwhelming configuration noise

Access clipboard history, calendar, weather, and contacts from a single unified search interface

Vector consolidates multiple macOS utilities into one launcher with ambient context awareness, surfacing relevant information like morning agenda, weather, and maps based on time and intent

Drop

Not a fit when

  • User runs Windows or Linux; Vector is macOS-only and requires Apple Silicon
  • User has older Intel-based Macs; requires Apple Silicon and macOS 26.0+
  • User needs cloud-based search across multiple devices; Vector is local-only
  • User prefers extensive third-party integrations; Vector focuses on native macOS replacement
  • User wants recurring subscription model; Vector is pay-what-you-want lifetime
  • User needs semantic search without local ML indexing overhead; indexing uses up to 800MB temporarily
Commercials

Pricing

Pay what you want, lifetime license View pricing