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Endless Short-Video Feed (TikTok-Style)

By FrontendAtlas Team · Updated Jan 30, 2026

Design a TikTok-style endless short-video feed for a front-end system design interview. Use the RADIO approach to structure your answer: Reflect, Assumptions, Decide, Implement, Outcome. Focus on fast first play, smooth scrolling, preloading the next videos, adaptive quality, and graceful handling of slow networks. Discuss…

Reflect & Requirements
Architecture / High-level design

What you’ll build / What this tests

This premium front-end system design system design focuses on Endless Short-Video Feed (TikTok-Style). You’ll apply infinite-scroll and virtualization thinking with intermediate level constraints. The prompt emphasizes Design a TikTok-style endless short-video feed for a front-end system design interview. Use the RADIO approach….

Learning goals

Decompose Endless Short-Video Feed (TikTok-Style) into front-end components, state, and data flow.
Apply infinite-scroll, virtualization, performance constraints to a real client architecture.
Define performance budgets and UX trade-offs for the interface.
Plan instrumentation and resilience for user-facing failures.

Key decisions to discuss

Choose a data model that matches UI reads and writes.
Pick a pagination + caching strategy to keep the UI fast.
Set performance budgets (LCP/INP) and validate with telemetry.

Evaluation rubric

Architecture: clear client data flow and component boundaries.
Performance: budgets + caching/virtualization where needed.
Resilience: offline/error states and retries defined.
Observability: metrics/logs to validate UX and perf.

Constraints / Requirements

Design a TikTok-style endless short-video feed for a front-end system design interview. Use the RADIO approach…
Reflect & Requirements
Architecture / High-level design
Data model
Interface definition (API)
Optimizations and deep dive
Assume real users and real latency; budget for perceived performance.
Define client-side caching and invalidation strategy.
Plan pagination or windowing for large UI lists.
Account for infinite-scroll, virtualization, performance constraints in the UI.

Mini snippet (architecture sketch)

Constraints:
- P95 UI response < 200ms
- 1k+ events/sec during peak
- Focus: infinite-scroll, virtualization

Components:
- Client cache + pagination
- Realtime updates (SSE/WebSocket)
- Observability + error states

Endpoints:
- GET /feed?cursor=
- POST /events

Common pitfalls

Ignoring pagination/virtualization for long feeds.
Underestimating client performance budgets.
Overfetching data or failing to cache responses.
Skipping failure states and retry UX.