
Seven practical SQL patterns beyond basic SELECT, WHERE, and GROUP BY solve real analytical problems like detecting activity streaks, segmenting customers by spend tier, smoothing time-series data, and tracing plan upgrade paths. LAG() and LEAD() functions access previous or next row values without self-joins, useful for calculating gaps between events.
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Summary by ByteBrief
Launch HN: BitBoard (YC P25), Analytics Workspace for Agents