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Or start with your coding agent:
Which duck species flies furthest in fall migration?
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Scanning 1.2 billion tracking records to rank species by distance.
MotherDuck Query
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SELECT species, ROUND(AVG(distance_km)) AS avg_km FROM waterfowl.migrations WHERE season = 'fall' AND banded_year >= 2020 GROUP BY 1 ORDER BY avg_km DESC;
Northern pintails lead at 4,672 km on average — nearly 4× the homebody mallard. Blue-winged teal take second.
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An Agent-First Architecture
Hypertenancy: an isolated compute instance for every person, dashboard, and agent. Run fast, highly concurrent queries without resource contention.
Every person, dashboard, and agent session gets its own isolated DuckDB instance — a Duckling — spun up in milliseconds.
Agents fan out — every session gets its own isolated duckling, so a fleet of parallel agents never slows your dashboards. Cold starts land under 100ms.
One user's heavy query saturates their duckling — and nobody else's. No noisy neighbors, no queues, no warehouse-wide slowdowns.
Size each instance to its job, Pulse through Giga. Backfill on a Mega instance, run dbt workloads on a Standard, let end users query a fleet of Pulses.
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Claude Code v2.1.220
Opus 5 (1M context) with xhigh effort · Claude Team
~/analytics
❯why did weekly active ducks dip last week?
●I'll query the warehouse over MotherDuck MCP.
Called MotherDuck 3 times
●Found it — the dip is isolated to the EU flock:
– sessions from eu-central fell 22% after the 07-28 release
– signups held flat; the rollback cohort recovered in a day
⎿ ran on duckling agent-7f2 (isolated)
✻Cooked for 18s
❯build a dive for the eu drop
✻Channelling… (12s · ↓ 480 tokens)
❯
▶▶ auto mode on (shift+tab to cycle) · esc to interrupt
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