Tilework Tech
Make Every Engineer a 10x Engineer by encoding engineering practices into AI acceleration through reusable agent Skills.
At a Glance
- Software Engineering Teams
- AI-forward Enterprises
- Individual Developers using Agentic IDEs
AI Tools by Tilework Tech
(1)Nori SkiIllsets
AI Skills Learning Platform
Discussions
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Latest News
Announcing noriskillsets.dev: a public registry for finding the best agent configs
I successfully recreated the 1996 Space Jam website with Claude
Show HN: Nori CLI, a better interface for Claude Code (no flicker)
Show HN: A Linter for Skill.md Files
Products & Services
A platform and public registry for discovering, installing, and managing reusable AI agent skills (Skillsets).
A high-performance, Rust-based multi-agent command-line interface supporting Claude, Gemini, and OpenAI models.
A cloud-based execution environment for agent sessions with task tracking and hyper-parallelism.
A version-controlled, private repository for teams to manage and share verified agent skills internally.
Market Position
Positioned as the 'npm for AI agents', focusing on developer experience, speed (Rust), and a curated ecosystem for agent skills, specifically enhancing tools like Claude Code.
Leadership
Founders
Amol Kapoor
Co-founder at Tilework Tech. Previously founded SOOT (AI search for creatives, 2021-2024). Worked with Ubiquity Ventures and is a Columbia University alum. Based in Brooklyn, NY.
Jonah Glover
Co-founder at Tilework Tech. Also holds an engineering role at Hightouch. Known for viral AI projects including the Space Jam website recreation with Claude.
Clifford Ressel
Co-founder and Creator of Nori. Software Engineer with experience at Freestone Grove Partners. Carnegie Mellon University alum.
Executive Team
Amol Kapoor
Co-founder
Former founder of SOOT; focus on AI agents and developer tools.
Jonah Glover
Co-founder
Engineering at Hightouch; expert in agentic workflows and AI demos.
Founding Story
Started as an internal project to solve the limitations of AI agents in large codebases. The founders built a system to manage agent 'Skills' to achieve high engineering throughput, later deciding to bring these tools to the public as the 'npm for AI agents'.
Business Model
Revenue Model
B2B SaaS subscription model for team registries and cloud-based agent execution.
Pricing Tiers
Access to public Skillsets and open-source tools.
Private, version-controlled repository and team management features.
Hyper-parallel agent execution in the cloud.
Target Markets
- Software Engineering Teams
- AI-forward Enterprises
- Individual Developers using Agentic IDEs
- Managing reusable AI agent skills across a team
- Accelerating complex coding tasks with agentic workflows
- Scaling AI adoption within engineering organizations
- Hightouch