Rindler
Rindler builds software that makes AI agents more reliable when working with coding-agent sessions and third-party websites. Its current product, Maxxwell, is a desktop IDE and CLI for managing multiple coding agents, while its earlier/currently described platform maps websites into deterministic APIs for agents.
At a Glance
- Developers and teams running multiple coding agents
- AI product teams that need reliable web actions
- Developer tools and SaaS companies
- Commerce and travel companies
- +5 more
AI Tools by Rindler
(1)
Rindler
Web Automation Without Code
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Latest News
Maxxwell v0.1.83 released with desktop/CLI artifacts for macOS, Linux, and Windows; release notes include a local credential-inheritance security fix.
The ide-releases repository updated its downloads documentation to point to Maxxwell v0.1.83.
YC launch: Rindler — Turn Any Website Into An API For AI Agents.
Y Combinator company profile lists Rindler as an active Summer 2026 company, the IDE for Tokenmaxxers.
Products & Services
A local desktop IDE and standalone CLI for running and managing coding-agent sessions. It puts multiple sessions into one window, labels them working/idle/waiting, provides fleet and session views, and includes an orchestrator session that summarizes progress, decisions, and blockers.
A platform that maps a website into structured screens, available actions, and typed outputs, then exposes browser work through a remote MCP endpoint so AI agents can search, apply filters, add to carts, download records, and use authenticated flows more reliably.
Market Position
Rindler positions its web platform against browser agents that re-interpret every website visit and against bespoke integrations or scripts: it maps a site once and exposes deterministic actions and structured outputs through MCP. Maxxwell is positioned as an orchestration/control surface for users running more than two or three coding-agent sessions, while leaving Claude Code, Codex, and Cursor Agent unmodified and attachable.
Leadership
Founders
Michael Serrano
Founder/CEO; MIT SB + MEng in Physics and Computer Science; previously an ML engineer at Roblox and conducted LLM research at MIT CSAIL.
Arthur De Los Santos
Founder/CTO; MIT 2026 in Computer Science/AI/ML; previously at MIT CSAIL.
Executive Team
Michael Serrano
Founder and CEO
MIT SB + MEng in Physics and Computer Science; former Roblox ML engineer and MIT CSAIL LLM researcher.
Arthur De Los Santos
Founder and CTO
MIT Computer Science/AI/ML, class of 2026; previously at MIT CSAIL.
Board of Directors
Founding Story
The founders started Rindler because browser-based AI agents were compelling but brittle in production: agents repeatedly had to rediscover websites, handle pop-ups and login gates, and recover from layout changes. The initial vision was to map websites once into structured screens, actions, and typed outputs so agents could use them as deterministic APIs; the company later foregrounded Maxxwell as an IDE for coordinating many coding-agent sessions.
Business Model
Revenue Model
Maxxwell is free forever for individuals and paid for teams. The earlier Rindler web-automation product is presented as a SaaS/infrastructure offering, with demos and a free-trial call to action; public pages do not state a usage price.
Pricing Tiers
The Maxxwell documentation says it is free forever for individuals.
The Maxxwell documentation says teams are paid; no public dollar amount was found.
Target Markets
- Developers and teams running multiple coding agents
- AI product teams that need reliable web actions
- Developer tools and SaaS companies
- Commerce and travel companies
- Government and courts
- Healthcare and insurance
- Managing several coding-agent sessions without monitoring many terminals
- Detecting agent sessions that are stalled, asking questions, or drifting
- Shopping and comparing products across retailers
- Retrieving housing and property listings
- Using job boards and ATS-related workflows
- Submitting forms and operating customer or authenticated portals