Glass Devtools, Inc.
Glass Devtools develops Void, an open-source AI code editor that enables developers to write code with AI assistance while maintaining complete control over their data. Unlike proprietary alternatives, Void allows direct connection to any LLM or local model hosting.
At a Glance
- Individual software developers and engineers
- AI researchers and machine learning practitioners
- Development teams prioritizing data privacy and security
- Open-source community contributors and enthusiasts
- +6 more
AI Tools by Glass Devtools, Inc.
(1)
Void Editor
Open Source AI Code Editor
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Latest News
InfoQ: The Void IDE, Open-Source Alternative to Cursor, Released in Beta
Development Paused: Void Team Announces Pause on IDE Development to Explore Novel Coding Ideas
Void Editor Surpasses 28,000 GitHub Stars, Becoming One of Most Popular Open-Source AI Code Editors
Void Beta Patch #7 v1.4.1: MCP Support, AI Commit Messages, Visual Diffs Added
Products & Services
An early AI coding tool that enabled developers to edit their websites in plain English without leaving the browser. This product was discontinued to focus resources on developing Void Editor.
Open-source AI code editor and Cursor alternative built as a fork of Visual Studio Code. Void allows developers to write code with advanced AI assistance while maintaining complete control over their data by connecting directly to any LLM (including Claude, GPT, Gemini, Grok) or hosting models locally via Ollama. Features include AI agents with file system control and terminal access, checkpoints to track LLM changes, autocomplete, inline quick edits, prompt transparency, and support for both frontier and private LLMs. Currently in beta with development paused as the team explores new coding innovation directions.
Market Position
Void positions itself as the leading open-source alternative to proprietary AI code editors, particularly Cursor and GitHub Copilot. Key differentiators include: (1) Complete data privacy - no third-party backend processing, users connect directly to AI providers or host locally; (2) Cost savings - no subscription fees ($20-40/month saved vs Cursor), users pay only for AI API usage or use free local models; (3) Model flexibility - works with any LLM (Claude, GPT, Gemini, Grok, local models via Ollama), no vendor lock-in; (4) Transparency - open-source codebase, ability to view/edit AI prompts, Apache 2.0 license; (5) Feature parity - offers similar capabilities to Cursor including autocomplete, agent mode, chat, and multi-file editing; (6) VS Code compatibility - built as VS Code fork, supports existing extensions and workflows. Main competitors: Cursor (proprietary, $20-40/month), Windsurf/Codeium (proprietary), GitHub Copilot ($10-19/month), Zed (open-source but different architecture). Void has gained significant traction with 28,200+ GitHub stars in under a year, indicating strong developer interest in open-source AI tooling.
Leadership
Founders
Andrew Pareles
Studied Computer Science, Physics, and Mathematics at Cornell University. Previously worked as a quantum computing researcher at JHU APL (Johns Hopkins University Applied Physics Laboratory). Software Engineer Researcher at Columbia University. Research positions at Cornell University (McMahon Lab, Cornell Capra Group). Co-founded DeriveIt, a tech interview prep site, in 2023 before founding Glass Devtools.
Mathew Pareles
Studied Physics and Computer Science at Cornell University. Background in materials science research. Designed hardware for IBM's quantum computer to simulate PDEs, including the Black-Scholes equation. Experienced in prompting Transformers since before GPT-3. Researcher at Cornell University (2020-2021). Software Engineer Intern at Moon Technologies (2019) and ALICE - Hospitality Operations Platform (2018).
Executive Team
Andrew Pareles
CEO, Co-Founder, Secretary
Computer Science, Physics, and Mathematics graduate from Cornell University. Former quantum computing researcher at JHU APL and Software Engineer Researcher at Columbia University. Co-founded DeriveIt before Glass Devtools.
Mathew Pareles
CTO, Co-Founder, CFO
Physics and Computer Science graduate from Cornell University. Materials science researcher who designed hardware for IBM's quantum computer. Early experience with Transformer models pre-GPT-3.
Board of Directors
Founding Story
Andrew and Mathew Pareles founded Glass Devtools in 2024 after their previous venture, DeriveIt (a tech interview prep site). They initially created Glass.js, an early AI coding tool that allowed developers to edit websites in plain English without leaving the browser. However, they discontinued Glass.js to focus on a more ambitious project: Void Editor. The motivation behind Void was to address privacy and cost concerns associated with proprietary AI coding tools like Cursor and GitHub Copilot. They wanted to create an open-source alternative that would give developers full control over their data by allowing direct connection to any LLM or local model hosting. The founders were accepted into Y Combinator's Summer 2024 batch and launched Void in October 2024, releasing the first beta in January 2025.
Business Model
Revenue Model
Open-source software with no direct revenue model disclosed. Void Editor is free and open-source (Apache 2.0 license). The company does not charge for the software itself. Users pay directly to AI model providers (OpenAI, Anthropic, etc.) for API usage, or can host models locally for free. Unlike competitors like Cursor ($20-40/month subscriptions), Void eliminates the middleman subscription layer. The business model for monetization has not been publicly disclosed, though common open-source strategies include enterprise support, hosted versions, or premium features.
Pricing Tiers
Void Editor is completely free and open-source under Apache 2.0 license. Users can download, modify, and use without any subscription fees. Users pay only for their chosen AI model API costs (if using cloud models) or nothing if using local models via Ollama.
Target Markets
- Individual software developers and engineers
- AI researchers and machine learning practitioners
- Development teams prioritizing data privacy and security
- Open-source community contributors and enthusiasts
- Cost-conscious developers seeking to avoid recurring subscription fees
- Developers seeking alternatives to proprietary AI coding tools (Cursor, GitHub Copilot users)
- AI-assisted software development and coding
- Privacy-focused development where data cannot be sent through third-party backends
- Cost-conscious development using local models or direct API access to avoid subscription fees
- Automated file system management and multi-file editing via AI agents
- Terminal automation and command execution through Agent mode
- Codebase exploration and semantic search with AI assistance