Optimize Workforce Planning using Linear Programming with Python

Your team's AI coworker. Mention @iwan in Slack and get instant answers about who's available, what was decided, and how the team is allocated.

A bare bone implementation of Erlang C in Python. No external modules/libraries we're used. Everything was derived directly from the formula.

Open-source, local-first research calculator for AI adoption economics, workforce capacity, and organizational design.

A leadership judgment game about team composition You're a new leader with a budget and a pool of candidates. Build your team of 5, face a series of real workplace scenarios, and find out what your choices actually reveal about your judgment. Inspired by Jim Collins' Good to Great and Tasha Eurich's research on leadership self-awareness.

Talent intelligence library for semiconductor and AI recruiting - interactive guides, market maps, leadership briefs

Comp Decoder is a compensation analysis tool that translates raw offer numbers — base, bonus, equity, benefits — into a clear picture of total compensation, market positioning, and negotiation leverage.

Retail Demand & Staffing Optimizer (v1) — FastAPI + Postgres backend that forecasts demand (store × SKU) using moving-average models and generates staffing plans to meet service-level targets. Includes Alembic migrations, Docker Compose, seed data, CI, Postman collection, and demo scripts.

M&A Leadership Simulator puts players in the seat of a leader navigating the human side of a merger — integration decisions, cultural friction, communication timing, and the moments where the deal that looked good on paper starts to unravel in the hallway.

The Team Dynamics Puzzle is a lightweight, interactive demo designed to help leaders think differently about team composition. Instead of focusing on job titles or seniority, it explores how role balance and context shape team effectiveness.

Browser-based talent intelligence platform for signal tracking, sourcing analytics, and workforce strategy.

Eightfold AI — talent intelligence platform (deep learning)

Simulated operations case study comparing 4x10 vs 6x6-7 workforce allocation for throughput stability, backlog control, and labor-cost efficiency.

Splitting of groups with equivalent averages based of list of names and scores

Python and PostgreSQL analysis comparing overtime cost vs hiring one full-time employee.

Autonomous workforce planning system using XGBoost, LangGraph, guardrails, and supervisor-led VET/VTO staffing recommendations with traceable decision support.

スキルと稼働量に基づいて最適アサインを行うツール / Skills & capacity–aware auto assignment tool (Python/Streamlit)

AI-enabled optimization framework integrating machine learning, uncertainty quantification, and mathematical optimization for workforce planning under uncertainty.

Streamlit application for workforce optimization. Compares dual staffing models, simulates overtime cost exposures, and calculates census-driven breakeven points.

Agentic AI workforce forecasting system using Streamlit, Flask, CrewAI-style agents, LangGraph-style workflow logic, guardrails, and VET/VTO staffing recommendations.