10x Faster Lists

Performance is not a single feature — it's a quality of everything. But lists are where slow performance is felt most directly. You open a list. You wait. You apply a filter. You wait again.

For teams that spend significant time in list views — which is most teams using Swifty — that wait accumulates into a real productivity cost.

We spent meaningful engineering time on this. Here's what changed.

What We Improved

Query optimization. The database queries that power list views were rearchitected to use better index strategies and avoid the common patterns that cause slow queries at scale. Lists that previously took seconds now take milliseconds.

Smarter pagination. Large lists don't load all records at once — they load what's needed for the current view, with fast scrolling that loads more as you go. The interface stays responsive even for datasets with tens of thousands of records.

Filter performance. Applying a filter previously required a full query rebuild. Filters now apply incrementally where possible, making the filter experience feel instant even on large datasets.

Column rendering. The way list columns are rendered was optimized to reduce the browser-side work for each row. Lists with many columns scroll smoothly.

The Numbers

A list of 10,000 records with two active filters: previously around 2-3 seconds to load. After optimization: under 200 milliseconds.

That's the kind of change that transforms how a tool feels. 200ms is immediate. 2-3 seconds is a pause you notice every time.

Why Performance Debt Accumulates

List performance often degrades gradually — each new feature, each new field, each new filter option adds a small overhead. No single change causes a crisis, but the accumulation does.

We cleared that debt. And we put monitoring in place to catch it early the next time it accumulates.

What It Means for Your Team

Faster lists mean your team checks records more often, because there's no friction cost to looking something up. They apply filters more freely, because the response is instant. They work from the platform as their source of truth, rather than working from memory to avoid the delay.

Performance is a feature. It just shows up everywhere at once.