Stack

Infomerx is not married to a single vendor checklist. The stack below reflects what ships most often today; projects still pick libraries and services based on constraints, team skills, and lifecycle cost.

Default stack vs situational choices

Default (when nothing exotic forces a pivot): SvelteKit + TypeScript on the product surface, PostgreSQL when a relational core fits, pragmatic REST or RPC-style APIs, and Python where batch jobs, automation, or model-adjacent services earn their place.

Situational (explicit trade-off, not cosplay):

  • React or Next.js where existing team skills, component libraries, or hiring constraints make them the better long-run pick.
  • SQLite, Redis, or Elasticsearch alongside or in place of PostgreSQL — SQLite for embedded or single-tenant edge deployments; Redis for caching, sessions, and short-lived queues; Elasticsearch when full-text search or log analytics is core rather than bolted on.
  • Mapbox or similar when geospatial fidelity matters beyond basemap tiles.
  • Workers, WASM, or GPU paths when the browser must carry real-time or heavy numerical work.
  • Third-party auth or payment providers when compliance or scope says so.

Beyond named defaults: When a project lands outside the named set — other map providers, other frontend frameworks, other databases — three questions decide fit. Is the underlying problem one this practice has shipped before in another stack? Can the new territory be picked up at responsible speed without the client absorbing the learning curve? Does the engagement timeline allow for that ramp? If yes on all three, the work proceeds; otherwise that gets said up front and a referral is offered where useful. Engineering judgment — API boundaries, validation, performance budgets, accessibility, operational readiness — transfers across stacks more readily than tool lists suggest; framework idioms take a short ramp. Work that genuinely needs a long-tenured specialist in a specific ecosystem is referred rather than taken on.

Frontend and product surface

  • SvelteKit with TypeScript for application shells, routing, and SSR or static prerender where it fits.
  • Svelte 5 runes for component-heavy UIs; disciplined state boundaries when browsers carry real-time or 3D workloads.
  • Accessible HTML patterns, semantic landmarks, and keyboard-first interaction as baseline—not a polish pass.
  • React/Next.js is available where team or ecosystem constraints make it the right long-run choice; deliveries follow the same engineering posture, not a different one.

Visualization and geospatial

  • Chart and map primitives chosen per project (including Mapbox or similar when the problem needs it).
  • Layer and filter UX designed for dense datasets and long sessions, not demo-only happy paths.

Data, APIs, and services

  • PostgreSQL and pragmatic API design; validation at boundaries.
  • Python for ingestion, automation, ML integration, or domain-heavy tooling—wired to the frontend with clear contracts and observability.
  • SQLite, Redis, or Elasticsearch are reached for as access patterns demand — see Situational, above. Default remains PostgreSQL with validation at boundaries.

If you are validating technical fit, pair this page with capabilities and selected work for evidence, not buzzwords.