A booking system that automatically aligns availability, creates the meeting, and takes manual coordination out of the founder's calendar.
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An in-house appointment booking service built around a Calendly-like flow. A visitor picks a meeting format, chooses a date and time slot, enters contact details, and gets instant confirmation. The interface surfaces available time windows based on time zone, availability settings, and buffer rules between calls. After the booking, the system creates a record in the client's internal API, sends notifications to participants, and stores the booking in the database.
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A B2B consulting agency that sells paid consultations and strategy sessions to customers in the EU and the US. Every booking with the company's expert flows directly into utilization, revenue, and the ability to scale consulting operations. Before launch, meetings were coordinated through email threads and messaging apps — that produced slot conflicts, scheduling chaos, and leads lost before the final confirmation. The client's internal team was building the API and back office, but didn't have the time or expertise to develop the frontend and the serverless booking logic quickly. They were looking for a partner who could take ownership end to end, shape the booking flow, avoid heavy technical documentation, stay inside a realistic budget, and actually deliver a measurable cut in manual coordination and a measurable lift in confirmed meetings.
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Unclear UX requirementsÂ
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The starting point was a broad request for "something like Calendly," without a detailed technical specification — the booking scenarios had to be extracted from the business context first.
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Dependency on the internal APIÂ
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The booking service had to run on top of a backend API being developed by a separate client team, which introduced risk around synchronization, versioning, and SLA.
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Time zones and booking conflictsÂ
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The system had to handle time zones correctly, respect buffer rules between meetings, and refuse double-booking under any condition.
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Serverless architecture on AWSÂ
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The booking logic had to run on AWS Lambda and adjacent services, which required careful design of integration points and logging.
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Fast launchÂ
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The client wanted to move new leads out of chaotic email coordination into a structured booking flow as quickly as possible — no months-long delivery cycle.
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We designed a single-page booking service with a calendar, contact form, and integration with the client's internal API. All business logic for booking, slot validation, and notifications sits in a serverless AWS backend. The whole thing was built around one goal: turn a visitor into a confirmed meeting in the smallest possible number of steps, without manual intervention.
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Booking scenariosÂ
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Meeting types, durations, buffers, and working hours all sit in managed data structures. The backend uses these rules to compute available slots and validate every booking request.
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UX/UIÂ
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The interface follows a linear flow with the minimum possible number of screens — meeting type, calendar of available slots, short contact form, confirmation. The system surfaces clear process states (loading, error, success), so the user always knows what's happening.
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Frontend implementationÂ
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The React frontend works as a thin client on top of the API: it fetches availability, resolves the browser time zone, sends booking requests, and renders backend responses. Form and calendar state are encapsulated in components, which makes future logic changes easy without rewriting the interface.
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Serverless backend on AWSÂ
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AWS Lambda runs the functions for slot-availability checks, booking creation, database writes, and notification dispatch. API Gateway sits as the single entry point for the frontend; PostgreSQL on RDS stores booking history and technical events.
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Integration with the client's APIÂ
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The connector maps form and schedule data into the structures expected by the client's internal API and synchronizes booking statuses. It also handles temporary API unavailability and invalid responses, so the user flow doesn't break.
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Notifications and baseline analyticsÂ
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After a successful booking, the backend emits an event that triggers emails to both sides and writes the booking record into the database. Those events can fuel downstream analytics on conversion and calendar load later, without architectural changes.
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We took the client's initial expectation — "I want a page like Calendly" — and turned it into concrete booking scenarios: meeting types, durations, time windows, acceptable buffer time between calls. Together we also fixed the required form fields, the interface language, and the expected tone of voice, so the product feels professional without becoming overloaded. The output was a concise booking-flow specification and a list of requirements for the integration with the client's internal API.
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+2 Resource
After launch, most new inquiries moved out of ad-hoc messaging and into a structured online process — and the founder stopped personally coordinating time in every email thread. Calendar utilization became more predictable, and the path from interest to a confirmed meeting got shorter and more transparent.
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the time previously spent agreeing on slots in email dropped sharply, and a booking happens in a few clicks
a larger portion of leads who reach the page now complete the flow, because the scenario is simple and obvious
double-bookings and time-zone mistakes became rare exceptions instead of a recurring problem
every meeting lives in one system, making it easier to plan the week and see real load
the serverless architecture and the internal-API integration form a solid base for new meeting types, interface languages, and analytics without a rebuild
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