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SellABrick is a UK platform for people who want to sell new and used LEGO sets without creating individual marketplace listings. The product combines a public quote and guidance experience, external LEGO catalog and pricing data, PayPal-backed payment handling, editorial content, and an administrative workspace for managing the operation.
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How I Built a 60 FPS Real-Time Esports HUD Builder & WebGL Broadcast Engine for BLOB
Live esports broadcasts don’t forgive dropped frames.
When competitive titles like Valorant, Counter-Strike 2, and Rocket League stream tournament telemetry at 60 updates per second, standard React virtual DOM reconciliation simply chokes under the load in OBS Studio. I was brought on by BLOB Productions following a competitive head-to-head architectural evaluation to completely re-engineer their broadcast overlay infrastructure from the ground up.
What We Built:
- 60 FPS Headless HUD Engine: Built a renderer-independent JSON scene graph with Figma/Rive-grade interaction math (multi-selection, aspect-ratio locked transforms, boolean operations, and 360° pivot rotations).
- Complete Vector & Style Stack: Multi-fills with linear/radial gradients, multi-strokes, inner/drop shadows, per-corner radiuses, blend modes, and Gaussian blurs.
- Reactive Data & Motion Logic Engine (Core IP): Continuous value mapping (e.g., player health mapped to visual bar width), dynamic scope inheritance across duplicated player cards, repeaters, and event-driven trigger animations.
- Ultra-Low Latency OBS Runtime: A lightweight PixiJS (WebGL) runtime with signal-based direct node mutations and a jitter-smoothing dead reckoning buffer—maintaining $<16ms Time-to-Glass.
- Zero-Egress Client-Side Edge Merge: Merged high-frequency P2P/WebSocket telemetry directly on the client edge with static tournament metadata, eliminating expensive cloud compute bottlenecks.
- Cloud Persistence & Publishing Pipeline: CockroachDB/PostgreSQL draft-versus-live isolation, version rollback, and an automated P0 verification test suite.
Read the full case study with architectural diagrams and demo breakdown here: 60 FPS Real-Time Esports HUD Builder
Looks rrally cool!
Beautiful UI shouldn't require messy code. ✨
A while ago, I built this feature section for TipMi. Looking at the varied card sizes, you might think it requires complex positioning or endless Flexbox containers. The secret weapon? CSS Grid with grid-template-areas.
Using Grid for this specific architecture is the easiest, most scalable approach. You get complete two-dimensional control, allowing you to span items across multiple columns and rows seamlessly while keeping the underlying HTML structure incredibly clean and readable.
Take a look at the live build here: https://tipmi-dev.vercel.app/
Great design 👍
Amix
A subscription product for finding the same clothing item cheaper across retailers. You search by product name, by pasting a URL, or by uploading a photo, and an outfit mode breaks a full look into individual pieces and searches each one separately. Results are filtered by the user's own measurements and scoped to Hungary, Europe or worldwide.
Behind the search sits the rest of a real product: account creation with Google and GitHub sign-in, email verification, password reset, an image upload pipeline, subscription plans with per-plan usage quotas, and payment handling.
The hard engineering problem was matching. The same jacket is listed under a different name by every retailer, shot on a different background in different light, so items have to be matched from the image itself. The backend runs on Node's standard library with zero npm dependencies, containerised and deployed close to the retailers it queries.
Two-stage matching is the classic way to keep this fast on a lean stack: run a cheap pre-filter first — perceptual hash or color-histogram distance on small thumbnails — to drop most candidates, then run the expensive matcher only on the survivors. Normalizing images before...
