Client systems, products I'm building and demonstrations of new ideas. Explore the challenge, the solution and my part in each project.
Recreated CRM screen for a real-estate team: a lead list, an open lead drawer with property details, tasks, a call log and a scheduled meeting.
Leads, meetings, calls and tasks come together in one Hebrew system built around a real-estate sales and investments team.
Illustration: a finished run arrives as raw Garmin data, code scores it (scoring, de-duplication, training load, patterns), the AI explains it in plain language, and Maya the runner decides what to do with the advice.
A product I’m building with a partner: Garmin data becomes running analysis, with calculations in code and explanations from AI.
Illustration: an exercise submissions queue — pull requests come in, tests and drafted feedback go out, and a submission whose test timed out is flagged for the lecturer, who decides the grade.
From an exercise submission to checks and feedback. A system that gives course staff more time to teach and keeps grading with the lecturer.
Illustration: a small job is posted, a verified helper takes it, payment is secured before work starts and released on completion, an attempt to share a phone number outside the app is hidden, and the job owner leaves a fair review.
An independent product in development: an app for small local jobs, designed around verified identity and a defined payment flow.
Ideas ready to explore and discuss. These demonstrations use fictional data and describe capabilities that have not been delivered as a complete client product.
Concept: a morning report that surfaces exceptions by owner: stuck leads, overdue tasks and a failed integration, sent to Yoav at 07:30.
A concept for one short daily summary: what stalled, who owns it and where to act.
Concept: a guided WhatsApp conversation in which an assistant qualifies a new lead, understands a voice note, writes the answers to the CRM and hands over to an agent.
A concept for a conversation that gathers what the customer needs and passes it to a salesperson with the context ready.
