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Near Store Agent

A Harper reference pattern: customer GPS ping → personalized promo decision via Claude Haiku, all in one Harper runtime. Geofenced with H3, data assembled in-process, pluggable decision layer.
TypeScript
Repo
TypeScript

Near Store Agent

Aleks Haugom
Senior Manager of GTM
at Harper
April 20, 2026
Aleks Haugom
Senior Manager of GTM
at Harper
April 20, 2026
Aleks Haugom
Senior Manager of GTM
at Harper
April 20, 2026
April 20, 2026
A Harper reference pattern: customer GPS ping → personalized promo decision via Claude Haiku, all in one Harper runtime. Geofenced with H3, data assembled in-process, pluggable decision layer.
Aleks Haugom
Senior Manager of GTM
A Harper reference pattern: customer GPS ping → personalized promo decision via Claude Haiku, all in one Harper runtime. Geofenced with H3, data assembled in-process, pluggable decision layer.

Download

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A Harper reference pattern: customer GPS ping → personalized promo decision via Claude Haiku, all in one Harper runtime. Geofenced with H3, data assembled in-process, pluggable decision layer.

Download

White arrow pointing right
A Harper reference pattern: customer GPS ping → personalized promo decision via Claude Haiku, all in one Harper runtime. Geofenced with H3, data assembled in-process, pluggable decision layer.

Download

White arrow pointing right

Explore Recent Resources

Media Coverage
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Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Media Coverage
InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio, Staff Editor at InfoQ
Renato Losio
InfoQ Staff Editor
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Aug 2026
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio