📰 Dev.to · Vivek Kumar

Most SaaS apps collect tons of data but give customers almost nothing back. Here's what customer-facing analytics looks like in practice, and how to build it ri

A practical guide to adding embedded SQL dashboards to your SaaS product — covering architecture, authentication, multi-tenancy, and when to build vs. buy.

You don't need Tableau or a $50k BI platform to show your users live charts. Here's how to wire SQL queries directly to charts in your app, fast.

Six essential SQL queries that give SaaS founders direct visibility into signups, active users, conversion, churn, MRR, and retention — no BI tool required.

A practical guide to designing a natural-language-to-SQL interface for your app — schema retrieval, prompt design, validation, and the production gotchas nobody

A practical guide to building real-time metrics dashboards on top of a relational database — pre-aggregation, materialized views, LISTEN/NOTIFY, and the gotchas

How to use Postgres Row-Level Security to ship safe embedded dashboards — wiring JWTs to session context, per-user roles, column masking, and the connection-poo

Learn how to track the most critical SaaS KPIs—MRR, churn, DAU/MAU stickiness, ARPU, and more—directly from your database using SQL, with real query examples an

Most developers treat text-to-SQL like magic. Here's what's actually happening under the hood — and how to structure your schema so the LLM gets it right every

AI can write SQL for you — but only if you prompt it correctly. Learn the schema context, few-shot, and chain-of-thought techniques that push accuracy from 60%

A practical guide to isolating tenant data in multi-tenant SaaS reporting — covering tenant_id design, Postgres Row-Level Security, JWT context, and the gotchas

AI tools can write SQL fast — but they hallucinate columns, mangle joins, and miss WHERE clauses in ways that silently corrupt your data. Here's how to validate

Go beyond window function basics and unlock the real power of LEAD, LAG, RANK, DENSE_RANK, and NTILE with real-world examples for analytics, reporting, and data

Go beyond CREATE INDEX and learn how partial, composite, and covering indexes can dramatically cut query times — with real examples and EXPLAIN output.

Learn how to use SQL views to simplify complex queries, secure sensitive data, and keep your database logic DRY — with practical examples and gotchas to avoid.

A practical guide to SQL string functions — TRIM, CONCAT, REPLACE, SUBSTRING, UPPER/LOWER, and more — with real-world data cleaning scenarios you'll actually en

Master the most useful SQL date and time functions — from extracting date parts to calculating differences and truncating timestamps — with practical examples y

Learn how SQL GROUP BY and HAVING clauses work together to group, aggregate, and filter your data — with real-world examples and common mistakes to avoid.

Learn how SQL window functions let you perform aggregate calculations while keeping all your row detail — with real-world examples using OVER, PARTITION BY, ROW

Learn how to use SQL's LIKE operator and wildcard characters (%, _) to search for patterns in text data — with real examples, common pitfalls, and performance t

NULL is one of the most misunderstood concepts in SQL. Learn what NULL really means, why = NULL never works, and how to use COALESCE and NULLIF to write reliabl

Learn how B-tree, composite, and covering indexes actually work — with practical examples, the leftmost prefix rule, partial indexes, and how to verify your ind

Learn how to use SQL Common Table Expressions (CTEs) to write cleaner, more readable queries. Covers basic syntax, chaining multiple CTEs, real-world examples,

Go beyond the basics with SQL CASE expressions. Learn conditional aggregation, dynamic sorting, window function tricks, and common gotchas with real-world examp