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I Stopped Buying SaaS for RevOps. I Built What I Needed on Harper Instead.

A RevOps leader ditched expensive, rigid SaaS tools and used AI (OpenAI Codex) plus Harper to build and deploy a custom, automated internal Growth Weekly Digest app in days, saving time and cost.
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I Stopped Buying SaaS for RevOps. I Built What I Needed on Harper Instead.

Jacob Cohen
Senior Director of Commercial Operations
at Harper
March 2, 2026
Jacob Cohen
Senior Director of Commercial Operations
at Harper
March 2, 2026
Jacob Cohen
Senior Director of Commercial Operations
at Harper
March 2, 2026
March 2, 2026
A RevOps leader ditched expensive, rigid SaaS tools and used AI (OpenAI Codex) plus Harper to build and deploy a custom, automated internal Growth Weekly Digest app in days, saving time and cost.
Jacob Cohen
Senior Director of Commercial Operations
A RevOps leader ditched expensive, rigid SaaS tools and used AI (OpenAI Codex) plus Harper to build and deploy a custom, automated internal Growth Weekly Digest app in days, saving time and cost.

Download

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A RevOps leader ditched expensive, rigid SaaS tools and used AI (OpenAI Codex) plus Harper to build and deploy a custom, automated internal Growth Weekly Digest app in days, saving time and cost.

Download

White arrow pointing right
A RevOps leader ditched expensive, rigid SaaS tools and used AI (OpenAI Codex) plus Harper to build and deploy a custom, automated internal Growth Weekly Digest app in days, saving time and cost.

Download

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Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
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Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
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Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
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Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
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Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
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Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.
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5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
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Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
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Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
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Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.
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