Pluk
Pluk is an AI-native database client designed to replace the fragmented workflow of SQL editors, AI tools, and spreadsheets with a single, local workspace.
At a Glance
- Product teams
- Software engineers
- Data-conscious developers
- Small-to-medium tech startups
AI Tools by Pluk
(1)Markdown Preview
Native macOS Markdown Reader
Discussions
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Latest News
Markdown Preview adds document export for PDF, HTML, and PNG
Pluk introduces Homebrew installation via pluk-inc/tap
Pluk announces official support for MongoDB and Convex integrations
Pluk open-sources its native macOS Markdown Preview application
Products & Services
An AI-native database client that allows users to query databases using plain English, explore schema visually, and create notebooks for data analysis.
A fast, native macOS app for reading and editing Markdown files with instant preview and document outline features.
Market Position
Pluk positions itself as a modern alternative to TablePlus and DBeaver, adding AI-first capabilities similar to Hex but in a local, native application.
Leadership
Founders
Mohamed Fauzaan
Founder of Pluk. Previously a Senior Software Engineer at Mindvalley, and worked at SOCAR and Setel (a PETRONAS subsidiary) in Malaysia. Started his journey in fintech with Payer.
Executive Team
Mohamed Fauzaan
Founder & CEO
Senior Software Engineer with a background in fintech (Payer) and automotive tech (SOCAR, Setel). Lead developer of Pluk and Markdown Preview.
Founding Story
Pluk was started by Mohamed Fauzaan in early 2025 to solve the friction of switching between multiple tools for database inspection, SQL drafting, and reporting. The goal was to build a native app that integrates AI directly into the database client workflow.
Business Model
Revenue Model
Subscription-based (SaaS) with Free and Pro tiers.
Pricing Tiers
Core database client, limited AI queries, up to 4 connections, community support.
Expanded AI usage, unlimited connections, Notebook Agent for multi-step analysis, priority support.
Shared dashboards, team workspaces, SSO, and admin controls.
Target Markets
- Product teams
- Software engineers
- Data-conscious developers
- Small-to-medium tech startups
- Answering product questions from production data
- Drafting complex queries with AI assistance
- Generating data reports and notebooks
- Exploring database schemas visually