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Inside JavaScript with Jordan Harband

In this episode, Jordan Harband (LJHarb) shares his journey from software engineer to leading open source maintainer, TC39 contributor, and JavaScript standards editor.
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Inside JavaScript with Jordan Harband

Austin Akers
Head of Developer Relations
at Harper
February 19, 2026
Austin Akers
Head of Developer Relations
at Harper
February 19, 2026
Austin Akers
Head of Developer Relations
at Harper
February 19, 2026
February 19, 2026
In this episode, Jordan Harband (LJHarb) shares his journey from software engineer to leading open source maintainer, TC39 contributor, and JavaScript standards editor.
Austin Akers
Head of Developer Relations

In this conversation, Jordan Harband shares his extensive experience in open source software development, discussing his journey from a software engineer to a prominent maintainer of numerous NPM packages. He emphasizes the importance of responsibility in maintaining open source projects, balancing personal life with professional commitments, and the role of AI in enhancing productivity. Jordan also offers valuable advice for aspiring open source contributors, highlighting the significance of kindness and understanding in the community.

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SIMILAR RESOURCES
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Open Source, Cycling and What's Next with Debbie O'Brien

Join Debbie O’Brien on the Select * Podcast as she shares insights on open source, and developer experience, and family.
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Podcast
Jan 2026

Open Source, Cycling and What's Next with Debbie O'Brien

Join Debbie O’Brien on the Select * Podcast as she shares insights on open source, and developer experience, and family.
Austin Akers
Austin Akers
Austin Akers
Austin Akers
Podcast
Jan 2026

Open Source, Cycling and What's Next with Debbie O'Brien

Join Debbie O’Brien on the Select * Podcast as she shares insights on open source, and developer experience, and family.
Austin Akers
Austin Akers
Austin Akers
Austin Akers
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Podcast
Jan 2026

Open Source, Cycling and What's Next with Debbie O'Brien

Join Debbie O’Brien on the Select * Podcast as she shares insights on open source, and developer experience, and family.
Austin Akers
Austin Akers
Austin Akers
Austin Akers
Recent News
News
Aug 2026

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.
Aleks Haugom
Aleks Haugom
Aleks Haugom
Aleks Haugom
News
Aug 2026

Harper 5.2: More Throughput per Node, Fewer Systems Around It

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.
Aleks Haugom
Aleks Haugom
Aleks Haugom
Aleks Haugom

In this conversation, Jordan Harband shares his extensive experience in open source software development, discussing his journey from a software engineer to a prominent maintainer of numerous NPM packages. He emphasizes the importance of responsibility in maintaining open source projects, balancing personal life with professional commitments, and the role of AI in enhancing productivity. Jordan also offers valuable advice for aspiring open source contributors, highlighting the significance of kindness and understanding in the community.

In this episode, Jordan Harband (LJHarb) shares his journey from software engineer to leading open source maintainer, TC39 contributor, and JavaScript standards editor.

Download

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In this episode, Jordan Harband (LJHarb) shares his journey from software engineer to leading open source maintainer, TC39 contributor, and JavaScript standards editor.

Download

White arrow pointing right
In this episode, Jordan Harband (LJHarb) shares his journey from software engineer to leading open source maintainer, TC39 contributor, and JavaScript standards editor.

Download

White arrow pointing right

Explore Recent Resources

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The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

Most real-time apps need a broker, a bridge, and a cache to keep state in sync. This is a live MQTT scoring demo on Harper, where the topic and the database record are the same write.
Blog
Most real-time apps need a broker, a bridge, and a cache to keep state in sync. This is a live MQTT scoring demo on Harper, where the topic and the database record are the same write.
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Austin Akers
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The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

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The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

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The Topic Is the Record: Real-Time Fan-Out Without a Broker, a Bridge, and a Cache

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Cross-region latency comes from distance, not slow queries. Why centralized data paths cost you latency, uptime, and money, with a benchmark you can run.
Person with short hair wearing a light blue patterned shirt, smiling widely outdoors with blurred greenery and trees in the background.
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The Distance Problem: Why Centralized Data Paths Cost You Latency, Uptime, and Money

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The Distance Problem: Why Centralized Data Paths Cost You Latency, Uptime, and Money

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The Distance Problem: Why Centralized Data Paths Cost You Latency, Uptime, and Money

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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.
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Harper Argues Against the Multi-System Stack and Releases 5.2

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Renato Losio
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Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

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Renato Losio
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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.
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Faster by Doing Less: How Harper 5.2 Engineers Database Performance

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Faster by Doing Less: How Harper 5.2 Engineers Database Performance

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Faster by Doing Less: How Harper 5.2 Engineers Database Performance

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Faster by Doing Less: How Harper 5.2 Engineers Database Performance

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Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

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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

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Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

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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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Person with short hair wearing a light blue patterned shirt, smiling widely outdoors with blurred greenery and trees in the background.
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How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.
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How to Reduce API Latency Under Load Without Adding Another Cache Tier

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