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TanStack Agency

TANSTACKDATAWITHOUT UI FRICTION

With TanStack Query and TanStack Table we build interfaces that handle large data sets confidently – including pagination, filters and optimistic updates.

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We areTanStackprofessionals

We connect TanStack with backends and design systems so teams get consistent patterns for server state and tables.

  • Cache strategies, invalidation and background refetch
  • Virtualisation, sorting and bulk actions in tables
  • Error states, retry and near-offline UX
  • TypeScript typing along API contracts
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TanStack Query: server state as a product

Stale-while-revalidate, deduplicated requests and focused invalidation: users see data quickly while fresh responses arrive in the background. We set up query keys, selectors and mutation hooks so cache lifecycles stay predictable — even for complex permission and filter combinations.

TanStack Table: scaling complex tables

Column pipelines, filters, sorting and row selection: we build admin interfaces that stay usable even with tens of thousands of rows. With virtualisation (TanStack Virtual) and server-side pagination it scales into seven-figure record sets.

Illustration zu TanStack Query: server state as a product und TanStack Table: scaling complex tables

Optimistic updates & error paths

Mutating actions feel instant; rollback and retry keep data consistent when the backend hesitates or fails. We combine `onMutate` snapshots with error boundaries and Sentry integration so data errors don't end in silent UI inconsistencies.

Framework-agnostic core

TanStack libraries are lightweight and combinable – whether Next.js, Remix or plain React: patterns stay viable across platform changes. In the Next.js App Router, Server Components deliver the initial snapshot and TanStack Query takes over after hydration with `HydrationBoundary`.

Illustration zu Optimistic updates & error paths und Framework-agnostic core

TanStack Router: typed routes with a data-loading layer

TanStack Router brings typed routes, loader patterns and search-param validation with Zod — ideal for complex authenticated sub-apps inside a Next.js route or as a standalone SPA with strict type-safety requirements.

TanStack Form: typed, valid forms

TanStack Form rounds out the ecosystem with typed form-state management and sync + async validation. We use it for complex multi-step onboarding and configuration flows where `react-hook-form` runs out of road.

Illustration zu TanStack Router: typed routes with a data-loading layer und TanStack Form: typed, valid forms

Services &solutions

We modernise existing UIs or start greenfield – always with measurable UX and a clear query layer.

  • Architecture workshops on cache lifetime and keys
  • Refactoring legacy fetch code to TanStack Query
  • Tables with virtualisation and export/import flows
  • Observability: client metrics and error tracking
Image about: Services & solutions

Operations dashboards

Support teams and admins need fast filters and stable lists: TanStack Table plus Query delivers predictable loading and error states.

Customer portals with frequently changing data

Prices, stock and status change often: background refetch keeps interfaces current without blocking the UI.

Illustration zu Operations dashboards und Customer portals with frequently changing data

Headless commerce frontends

Product listings, filter facets and cart mutations benefit strongly from TanStack Query: we pair Next.js Server Components for the initial SEO-relevant snapshot with TanStack hydration for interactive filters and optimistic cart updates.

Configuration and quoting tools

For B2B configurators with multi-step dependencies we combine TanStack Form for validation and Query for price and availability lookups — including browser-side persistence for long sessions.

Illustration zu Headless commerce frontends und Configuration and quoting tools
Why nextlevels

Your edge with TanStack

TanStack keeps frontends maintainable when data flows. We reduce boilerplate and provide clear states – even for complex forms and filters.

  1. Less custom fetch code, more productivity

  2. Reusable patterns for admin and customer portals

  3. Measurably improved performance

  4. Good developer experience for your team

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Ready for your TanStack project?

Let's talk about your requirements – we'll get back to you within 24 hours with concrete next steps.

Profile picture of Paul Kalisch, Executive Partner
Paul Kalisch
Executive Partner

Frequently asked questions about TanStack

When is TanStack Query worth it for our project?
TanStack Query pays off as soon as your frontend has to manage a lot of server state: lists, detail views, filters and data that changes frequently. We use it for caching, background refetch and invalidation so users always see current data, without your team hand-wiring loading, error and cache logic. If you only have static pages with no dynamic data, the added value is small.
How do you approach building data-heavy UIs with TanStack?
We connect TanStack to your backends and design system so your team gets consistent patterns for server state and tables. Concretely, we define cache strategies, keys and invalidation, build tables with virtualisation, sorting and bulk actions, and type everything in TypeScript along your API contracts. The result is reusable building blocks instead of one-off solutions per page.
Can TanStack be integrated into our existing React or Next.js project?
Yes, TanStack Query, Router, Table and Form are built for React and Next.js and can be introduced into an existing codebase step by step. We connect TanStack to your existing REST or GraphQL APIs and start where the benefit is greatest, rather than rebuilding everything at once. That keeps your project running the whole time.
How do you migrate our existing fetch code to TanStack Query?
We move your existing fetch code over to TanStack Query module by module, rather than switching everything in one big bang. Along the way we replace hand-written loading and error states with queries that include retry, clean error states and a near-offline UX. The pace depends on how many data flows are affected and how well your APIs are already typed.
What drives the effort and timeline of a TanStack project?
The biggest factors are the number and complexity of your data flows, your table requirements such as virtualisation, sorting and bulk actions, and the quality of your existing APIs. Optimistic updates, invalidation logic and TypeScript typing along the API contracts also affect the effort. We estimate this per use case instead of quoting a flat number.