A real-time platform for live moments

A real-time sports-moment platform engineered end to end — AI-and-human moment detection, an event-driven Google Cloud backend built for live-event spikes, four role-specific web apps, native iOS and Android fan apps, and a partner API platform.

Three phone screens from the HypeDirector app on a dark theme — onboarding to pick interests (Football, HypeDirector), a 'Follow Your Favorite Sessions' screen, and a Live Moments feed listing session clips with play buttons and timestamps.
Client
HypeDirector
Platforms
iOS, Android, PWA & web
AI + cloud
Vertex AI + event-driven GCP
Detection
AI + human spotters

The commercial value of live sport lives in moments — the goal, the penalty, the knockout — and those moments are usually missed. Fans split their attention across work, travel and several matches at once, and by the time a highlight package lands, the excitement has passed. HypeDirector closes that gap in seconds, and Toobler engineered the platform that makes it possible: AI-and-human moment detection, an event-driven cloud backend, and purpose-built apps for everyone who touches a live event.

Customer and context

HypeDirector is a real-time sports-moment intelligence platform: it captures, processes and distributes live event highlights within seconds of them happening. It is built for professional sports organizations, broadcasters, publishers, esports companies and media partners, and it serves five distinct user groups through four role-specific web apps (fan, owner, spotter and operations), native iOS and Android fan apps, and a partner API platform:

  • Fans — personalized live notifications, instant highlight clips, saved moments and interactive feeds.
  • Content Owners — a console to run live sessions, publisher profiles, audience engagement, social publishing, moderation and monetization.
  • Spotters — the editorial layer who identify and validate live moments through dedicated live-ops workflows.
  • Operations Teams — moderation, onboarding, taxonomy, notifications, governance and platform health.
  • Technology Partners — secure, programmatic access to live moment data through enterprise APIs and webhooks.

Toobler is the engineering partner that built the platform end to end — the applications, the AI and the event-driven cloud infrastructure underneath them.

The challenge

A real-time sports-moment platform is a hard problem on every axis at once:

  • Fan engagement decays fast. Traditional workflows are built around full-event viewing and post-match highlights. The value is in the live moment, and it has to reach the right fan while the excitement is still there.
  • Publishers don’t own their audience. Relying on third-party social and broadcast platforms makes it hard to build direct relationships, collect first-party data, and create recurring digital revenue.
  • Live operations are complex. Capturing moments at scale means coordinating editorial teams, scheduling spotters, moderating content, managing notifications and maintaining quality across many publishers simultaneously.
  • Traffic is spiky and unforgiving. Thousands of live notifications, personalized feeds, generated clips and partner calls have to hold up during a high-profile event, then scale back down.
  • It had to become a platform, not just an app. As demand for live sports data grew, HypeDirector needed to become reusable infrastructure that external organizations could integrate into their own products.

The solution

Toobler built HypeDirector as a multi-sided, AI-powered platform where each stakeholder works through a purpose-built application, or through partner integrations via REST and webhooks, over a shared, event-driven backend. Rather than pushing every live moment through one monolithic workflow, responsibilities are split across independent product layers and cloud services, so the platform scales without putting the live experience at risk.

Live sources. Sessions can run from YouTube, Twitch and other connected platforms, or through HypeDirector-owned ingest (OBS / RTMP to MediaMTX) for low-latency AI, clips and playback.

One event model, many outcomes. When an event begins, moments originate from trained editorial spotters or from AI detection. Every detected moment is standardized into a common data model, then routed through asynchronous cloud workflows that — depending on the moment type — act in parallel to:

  • notify subscribed fans;
  • update personalized feeds;
  • generate video clips;
  • publish to connected social channels;
  • deliver to external partners;
  • record analytics.

Personalized fan experiences. The fan app replaces scrubbing through broadcasts with notifications based on the teams, competitions and publishers each fan follows — discover live sessions, get instant moment alerts, watch auto-generated clips, and build a personal highlight library they can save, like, comment on and share. Fans can follow live sessions on major streaming platforms or in HypeDirector playback, use cut-to-moment and replay where enabled, and receive alerts through mobile push and web notifications.

A console for content owners. Owners run every part of live-event management from one place: creating and managing live sessions, configuring publisher profiles, overseeing engagement, controlling social publishing, setting moderation policy, and preparing monetization — direct ownership of the audience relationship rather than renting it from other platforms.

Editorial operations that scale. Dedicated spotter workflows let trained operators capture moments with speed and precision — shift assignments, moment signaling, activity review, performance monitoring and payment workflows — a human-in-the-loop model that keeps editorial confidence high alongside the automation.

AI as a core capability. AI processes both live and archived media to identify important moments in near real time. Speech-to-Text, Vertex AI and Gemini models analyze live commentary and event signals, while additional visual analysis can identify moments that commentary alone may not capture. For HypeDirector-managed streams, MediaMTX and dedicated video-processing workers enable low-latency analysis, rolling video buffers and automated clip creation. Detected moments can then become notifications, feeds, clips and playback experiences. AI works alongside trained spotters, combining machine-scale coverage with human editorial judgment.

An event-driven backend for reliable distribution. The platform combines Firebase and Google Cloud services in an event-driven architecture that processes moments, notifications, feeds, clips and partner integrations asynchronously. When an important moment is detected, the platform distributes it across the relevant channels, from mobile and web notifications to feeds, clips, social publishing and partner webhooks. Built with reliable, retry-safe processing and scalable background workers, the architecture is designed to handle the traffic spikes that come with major live events while avoiding duplicate processing and unnecessary delays.

A Moment Platform for partners. HypeDirector evolved into reusable media infrastructure. Its Moment Platform gives approved organizations secure access, through REST APIs and signed webhooks, to:

  • sessions and live moments;
  • subscriptions and webhook events;
  • delivery logs and replay;
  • test environments.

Broadcasters, clubs, sponsors, vendors and analytics providers can integrate without touching internal cloud infrastructure.

Social-first amplification and governance. Eligible clips are published to owner-connected social channels by dedicated workers, asynchronously, so social distribution never interrupts live processing. A central operations toolset handles onboarding, moderation, taxonomy, notification policy, publisher approvals, spotter management and platform health.

Engineering worth naming

  • The event pipeline is the product. One standardized moment model fanning out — notify, feed, clip, social, partner, analytics — asynchronously and in parallel is what lets the platform serve every audience at once without disrupting the live event.
  • AI and humans in one loop. Vertex AI, Gemini and Speech-to-Text detection working alongside a trained spotter layer — coverage at machine scale, with editorial confidence.
  • A hybrid scale model. Serverless processing handles event-driven workloads such as notifications, feeds and partner integrations, while Compute Engine and MediaMTX provide dedicated infrastructure for low-latency ingest and video processing. The architecture is designed for both the bursts and the sustained workloads of live events, not average traffic.
  • A product that became a platform. The same live-moment core exposed as secure REST APIs and signed webhooks, turning moments into reusable business assets.

Results

  • Live moments reach the right fans in seconds — detected, standardized, clipped and delivered while the excitement is still live, personalized to what each fan follows.
  • Five stakeholder experiences on one backend — role-specific web apps for fans, content owners, spotters and operations, native iOS and Android fan apps, and an API platform for technology partners.
  • Publishers own their audience — direct engagement, first-party relationships and monetization, instead of depending on third-party platforms.
  • A reusable media platform — the Moment Platform lets external organizations integrate live sports data securely, extending the product well beyond its own apps.
  • An architecture built for AI and growth — event-driven, cloud-native, and extensible toward further AI automation and commercial services.

What this means for real-time and live-media product engineering

Real-time media is unforgiving: the value is entirely in the seconds between something happening and the right person knowing, and it has to hold up when everyone shows up at once. HypeDirector is that problem solved end to end — AI-and-human moment detection, an event-driven cloud backend engineered for spikes, role-specific web apps, native fan apps and a partner API platform — built by a single engineering partner. If you are building a real-time or live-media product and need the applications, the AI, and the infrastructure that keeps it fast under load, talk to Toobler’s engineering team.

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