Neeto is the proof of our Ruby on Rails expertise.

Concurrency

Two people, one slot. Only one booking.

With over a million bookings processed, NeetoCal must handle situations where two visitors attempt to book the same time slot simultaneously. Both requests might pass application-level validations, but only one should succeed. The situation becomes even more complicated when payments are involved.

• The database has the final say. We use PostgreSQL exclusion constraints to prevent overlapping bookings at the database level. Even if two requests pass the Rails validations simultaneously, the database ensures that conflicting bookings cannot both be saved.
• Deadlocks, handled gracefully. Concurrent database operations can sometimes result in deadlocks. NeetoCal handles these failures and informs the visitor that the selected slot is no longer available, rather than displaying an unexpected error.
• Payments without double bookings. If a customer completes a payment but loses the race for the booking, we give them 10 hours to select another time slot. If they don’t, we automatically issue a refund. The refund process is idempotent, preventing duplicate refunds if a job is retried.
• Row-level locking where it matters. We use database row locks to protect shared resources such as group booking capacity, discount-code usage limits, and saved-card payment operations. This prevents concurrent requests from exceeding limits or processing conflicting operations.

What you getEngineers who understand concurrency and know when correctness must be enforced at the database level. These principles apply beyond scheduling to inventory management, ticketing, payments, and any application where multiple users compete for limited resources.

Performance

Availability in real time, 40× fewer checks.

Finding an available meeting slot sounds simple until you account for working hours, holidays, scheduling overrides, buffer times, booking limits, group capacity, and existing meetings across Google Calendar, Outlook, and iCloud.

For round-robin and collective meetings, these calculations must account for multiple team members, each with their own availability and scheduling constraints.

• A sophisticated scheduling engine. NeetoCal’s scheduling engine contains approximately 5,000 lines of Ruby code and 560 tests. It handles one-on-one, round-robin, collective, and group meetings, each with its own scheduling rules and edge cases.
• Binary search instead of linear scans. We replaced expensive linear searches with binary search over sorted booking times. We also reduced repeated time zone conversions by using integer-based calculations where possible.
• Finding availability without brute force. Instead of generating every possible meeting slot for the next 18 months, we estimate daily availability using a single grouped SQL query. This significantly reduces unnecessary computation when searching for the first available date.
• Caching without duplicate work. We cache availability results in Redis and use unique background jobs to prevent multiple workers from performing the same expensive calculations during traffic spikes.

What you getEngineers who understand algorithms, database performance, and caching well enough to identify the real bottleneck and fix it. We focus on making applications faster through better engineering, not simply adding more servers.

Media pipeline

380K recordings, ready the moment you stop.

People paste the link the second they press stop. Videos run for hours and arrive from Chrome, Firefox, Safari, extensions and a desktop app, each in a different format.

• Rails never touches the video bytes. It coordinates a direct S3 multipart upload, so app servers stay light.
• Crash-proof. If a laptop dies mid-recording, NeetoRecord finishes the video from the parts that reached S3.
• The right path per browser. Chrome's video is repackaged without re-encoding; Firefox's is encoded once; Safari has its own path.
• Smart editing. A trim re-encodes only the affected 8-second segments, with one-click revert.
• Serverless where it fits. AWS Lambda handles transcoding and AI; recordings over 45 minutes move to our own compute cluster.

What you getEngineers who have built media pipelines that are fast for users and careful with cloud costs.

Resilience

Integrations that survive the provider’s bad days.

A single NeetoCal booking can involve Google Calendar, Outlook, or iCloud, along with video providers such as Zoom, Google Meet, Microsoft Teams, Daily, and Whereby.

Each provider has its own APIs, rate limits, and failure scenarios. When something goes wrong, we need to ensure that bookings remain accurate and customers aren’t left without a meeting link.

• Two-way calendar sync. When a host moves a meeting in Google Calendar or Outlook, NeetoCal automatically reschedules the corresponding booking.
• Failure handling, designed up front. We define how each integration handles errors, including when to retry, when to ask the user to reconnect, and when an error can safely be ignored.
• A meeting link, even when providers fail. If the host’s video provider is unavailable, NeetoCal falls back to our self-hosted Jitsi server so the meeting can still take place.
• Race conditions, handled. We create meeting rooms only after the database transaction commits. This prevents background jobs from attempting to access booking records that haven’t been fully saved.

What you getEngineers who anticipate integration failures and build recovery mechanisms into the system, so your customers can continue working even when third-party services experience problems.