Component writing - front end.

We're looking for an advanced mid/senior dev with good TS skills for a long-term collab. Must have: - Strong TypeScript skills - Knowledge of React and it's ecosystem (TanStack-Query, react-hook-form, Storybook) - Knowledge of Tailwind - Knowledge of client-server protocols (HTTP, GraphQL) - Experience in building maintainable and scalable systems, design systems, and writing tests Nice to have: - Web3 skills - Basic experience in building browser extensions - Knowledge of WebSockets

We’re building a next-gen prototype that processes live sensor data in real time. The system fuses multiple signal types—like radar, RF, and thermal—into actionable alerts. This is a paid technical challenge to evaluate your ability to reason through sensor data and structure real-time logic systems. If successful, it may lead to longer-term work on a confidential defense-adjacent product. ⸻ Who We’re Looking For: An embedded systems generalist who’s: • Comfortable working with Python (or C++) • Experienced in ingesting and processing hardware or simulated sensor data • Familiar with real-time logic, data fusion, and clean modular architecture • Based in Warsaw or Krakow, Poland ⸻ What You’ll Do (for this project): • Build a script that reads from simulated radar/IR/RF streams • Apply basic logic rules to detect and classify threats • Log clean alerts with timestamps and key metrics • Optional: create a minimal dashboard or prediction module (bonus) ⸻ Deliverables: • Fusion logic script (Python) • Clean event logging or structured output • Short explanation of your assumptions and structure • Optional bonus: basic UI or trajectory prediction ⸻ Time & Compensation: • Flat fee: $250 USD • Time expected: Max 8–10 hours • Delivery deadline: Within 3 calendar days of accepting • Location required: You must be based in Poland (Warsaw or Krakow preferred) ⸻ To Apply: • Share a short note about your embedded or sensor-based project experience • Mention your location and availability • Link to any relevant GitHub or portfolio if available

Data Scientist needed for an analysis project focusing on poker strategy, specifically CSV file analysis and .mkr file conversion. The ideal candidate will develop a program to extract strategic metrics and automate hand categorization. Required Experience - Required: - Experience with data analysis and CSV processing (any language). - Ability to handle and convert .mkr files. - Experience with combinatorial game theory calculations. - Ability to translate poker concepts into mathematical models. - Nice to have: - Knowledge of poker rules.