Full-stack restaurant OS for POS, KOT, tablet ordering, inventory, reservations, and realtime outlet operations.
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Updated
May 6, 2026 - TypeScript
Full-stack restaurant OS for POS, KOT, tablet ordering, inventory, reservations, and realtime outlet operations.
The open-source operator layer for AI-native operators. Persistent memory, session lifecycle, and modular adapters for Claude Code.
Public OpenCAS runtime snapshot and release docs: local-state agent runtime, dashboard controls, memory, scheduling, channels, and provider-routed model access.
AI account and browser manager for Codex, Claude, Pi, and OpenClaw operator workflows.
Windows desktop vision automation runtime: Tauri shell, Python backend, OpenCV/YOLO detection, FSM orchestration, packaged builds.
An operating standard for AI work that compounds instead of resets. By Cameron Sutcliff.
Offline founder operating system for customer onboarding health, activation risk, SLA risks, and founder attention queues.
Founder-facing retention, renewal, expansion, and customer health operating system.
AI operating-system style skills and workflows for business operators: research, outreach, reporting, memory, content, and automation.
Post-call intelligence system for founder-led sales conversations.
AI-native customer segmentation that turns raw data into executive-ready strategy maps. Live prototype + glowing Living Map UI.
Operator utilities for inspecting, exporting, and decrypting FormSeal submissions.
Offline-first AI workflow ROI decision system for early-stage founders.
Public-safe demo of the Gauges Green AI harness for senior operators
Founder-friendly startup metrics playbook with formulas, SQL logic, benchmarks, and operating traps.
Payments business KPI engine for monthly merchant reporting, variance diagnosis, SLA alerts, and executive summaries.
Operator-flavoured skills for Hermes Agent. Built on Telegram, refined through honest iteration.
Founder-facing product feedback and roadmap prioritization operating system.
Structured self-reports for long-running LLM sessions: operator signals, explicit uncertainty, no claims of model feelings.
Founder-facing hiring and talent pipeline operating system.
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