Most developers think accessibility is just about screen readers and color contrast. They're wrong.

Every 100ms of server delay compounds into real harm:

• Screen readers wait for the DOM to settle before announcing content — slow queries mean longer silence

• Users on assistive technology are disproportionately affected by timeouts and loading states
  

• WCAG 2.2 Success Criterion 2.2.1 (Timing Adjustable) exists for a reason — and your SELECT * with 6 nested subqueries is the reason it's hard to meet

A quick example

This query runs in 2,400ms on a 5M row table:

SELECT u.*, 
  (SELECT COUNT(*) FROM orders WHERE user_id = u.id) as order_count,
  (SELECT MAX(created_at) FROM sessions WHERE user_id = u.id) as last_session
FROM users u
WHERE u.active = true
ORDER BY u.created_at DESC
LIMIT 50;

This one returns the same data in 18ms:

SELECT u.*, 
  COUNT(o.id) as order_count,
  MAX(s.created_at) as last_session
FROM users u
LEFT JOIN LATERAL (
  SELECT id FROM orders WHERE user_id = u.id
) o ON true
LEFT JOIN LATERAL (
  SELECT created_at FROM sessions WHERE user_id = u.id 
  ORDER BY created_at DESC LIMIT 1
) s ON true
WHERE u.active = true
GROUP BY u.id
ORDER BY u.created_at DESC
LIMIT 50;

The difference? Understanding how PostgreSQL's query planner actually works — and using EXPLAIN ANALYZE to prove it.

What I teach at QueryCraft Academy

I built a full course covering:

• EXPLAIN ANALYZE deep dives — reading execution plans like a pro

• Indexing strategies that actually work (B-tree, GIN, GiST, BRIN — when to use each)

• JOIN optimization, CTEs vs subqueries, and window functions at scale

• postgresql.conf tuning and connection pooling for production

• Building accessible data layers — the a11y-first approach to database architecture

If you're a backend dev or DBA building web applications that need to be both fast and accessible, this is for you.

$350/month with a free trial day to explore everything.