Click Below to Get the Code

Browse, clone, and build from real-world templates powered by Harper.
Case Study
GitHub Logo

The Impact of Early Hints - Auto Parts

A leading U.S. auto parts retailer used Harper’s Early Hints technology to overcome Core Web Vitals failures, achieving faster load speeds, dramatically improved indexation, and an estimated $8.6M annual revenue uplift. With minimal code changes, the proof-of-concept validated that even small performance gains can unlock significant growth opportunities for large-scale e-commerce businesses.
Early Hints
Case Study
Early Hints

The Impact of Early Hints - Auto Parts

Harper
at Harper
September 17, 2025
Harper
at Harper
September 17, 2025
Harper
at Harper
September 17, 2025
September 17, 2025
A leading U.S. auto parts retailer used Harper’s Early Hints technology to overcome Core Web Vitals failures, achieving faster load speeds, dramatically improved indexation, and an estimated $8.6M annual revenue uplift. With minimal code changes, the proof-of-concept validated that even small performance gains can unlock significant growth opportunities for large-scale e-commerce businesses.
Harper

Summary

A leading U.S. auto parts retailer, recognized for its extensive product catalog and direct-to-consumer business model, was facing growing challenges with site performance and indexation. Despite significant investments in performance optimization, their Core Web Vitals consistently showed failures, limiting growth potential and exposing them to competitive SEO risk.

By implementing Harper’s Early Hints technology in a proof-of-concept (POC), the retailer achieved measurable gains: faster load times, dramatically improved page indexation, and strong leading indicators of revenue uplift. With minimal code changes and a rapid rollout, the results built a compelling business case for scaling performance enhancements across their digital ecosystem.

Context

This retailer manages one of the largest online catalogs in its industry, with millions of unique products and information pages. As customer journeys increasingly began with organic search, site efficiency became a mission-critical factor.

Despite ongoing engineering work, Core Web Vitals (CWVs) consistently underperformed. Google Search Console showed that nearly all URLs were failing or needed improvement across both desktop and mobile. While the site still generated substantial revenue, the lack of CWV “green” scores represented a glass ceiling: further digital marketing spend was yielding diminishing returns, and organic growth potential remained capped.

The leadership team recognized that without a material shift in performance, future revenue growth would stagnate.

The Problem

  • Core Web Vitals failures: Virtually all URLs were flagged as failing or needing improvement.
    SEO growth limits: Even with significant ad spend, organic visibility lagged competitors.
  • Indexation inefficiency: Large portions of the catalog weren’t being surfaced by Google, leaving revenue on the table.
  • Risk of stagnation: Growth was plateauing despite ongoing marketing and infrastructure investments.

The Solution: Early Hints

Harper partnered with the retailer to run a focused 30-day proof-of-concept test on the retailer’s production website. The goal was to validate whether Early Hints—a distributed edge capability that preloads critical assets using HTTP 103—could materially accelerate site speed and improve search engine responsiveness.

Crucially, this required no code refactoring by the client. The solution was activated through platform configuration, allowing Harper’s distributed cloud platform to accelerate time-to-first-byte and largest contentful paint across all browsers and devices.

Within days, the results were clear: Early Hints provided not just performance gains, but measurable business impact.

The Outcome

The proof of concept generated an immediate uplift across both user experience and search visibility:

  • Page load speed improved by 8%, cutting average load times by 280ms.
  • Largest Contentful Paint (LCP) improved significantly, moving the retailer closer to “good” thresholds on mobile and desktop.
  • Page indexation surged 230% in just 15 days, moving millions of “crawled not indexed” pages into the live Google SERPs index.
  • Estimated revenue benefit: $8.6M annually, based on conservative industry benchmarks linking performance improvements to conversion rates.

These results validated that even small gains in speed can translate into disproportionate business outcomes for large-scale e-commerce sites. Importantly, the impact extended beyond Core Web Vitals to leading indicators such as crawl rates, impressions, and traffic growth.

Conclusion & Path Forward

The POC demonstrated that Early Hints can unlock hidden growth for retailers managing massive catalogs. For this auto parts leader, the acceleration of page loads led directly to better indexation, more impressions, and higher revenue potential.

While Early Hints delivered immediate wins, the next stage involves building on this momentum: implementing prerendering, advanced caching, and phased infrastructure enhancements. Each step moves the retailer closer to sustained Core Web Vitals “green” scores—ensuring long-term competitiveness in organic search and continued revenue growth.

Summary

A leading U.S. auto parts retailer, recognized for its extensive product catalog and direct-to-consumer business model, was facing growing challenges with site performance and indexation. Despite significant investments in performance optimization, their Core Web Vitals consistently showed failures, limiting growth potential and exposing them to competitive SEO risk.

By implementing Harper’s Early Hints technology in a proof-of-concept (POC), the retailer achieved measurable gains: faster load times, dramatically improved page indexation, and strong leading indicators of revenue uplift. With minimal code changes and a rapid rollout, the results built a compelling business case for scaling performance enhancements across their digital ecosystem.

Context

This retailer manages one of the largest online catalogs in its industry, with millions of unique products and information pages. As customer journeys increasingly began with organic search, site efficiency became a mission-critical factor.

Despite ongoing engineering work, Core Web Vitals (CWVs) consistently underperformed. Google Search Console showed that nearly all URLs were failing or needed improvement across both desktop and mobile. While the site still generated substantial revenue, the lack of CWV “green” scores represented a glass ceiling: further digital marketing spend was yielding diminishing returns, and organic growth potential remained capped.

The leadership team recognized that without a material shift in performance, future revenue growth would stagnate.

The Problem

  • Core Web Vitals failures: Virtually all URLs were flagged as failing or needing improvement.
    SEO growth limits: Even with significant ad spend, organic visibility lagged competitors.
  • Indexation inefficiency: Large portions of the catalog weren’t being surfaced by Google, leaving revenue on the table.
  • Risk of stagnation: Growth was plateauing despite ongoing marketing and infrastructure investments.

The Solution: Early Hints

Harper partnered with the retailer to run a focused 30-day proof-of-concept test on the retailer’s production website. The goal was to validate whether Early Hints—a distributed edge capability that preloads critical assets using HTTP 103—could materially accelerate site speed and improve search engine responsiveness.

Crucially, this required no code refactoring by the client. The solution was activated through platform configuration, allowing Harper’s distributed cloud platform to accelerate time-to-first-byte and largest contentful paint across all browsers and devices.

Within days, the results were clear: Early Hints provided not just performance gains, but measurable business impact.

The Outcome

The proof of concept generated an immediate uplift across both user experience and search visibility:

  • Page load speed improved by 8%, cutting average load times by 280ms.
  • Largest Contentful Paint (LCP) improved significantly, moving the retailer closer to “good” thresholds on mobile and desktop.
  • Page indexation surged 230% in just 15 days, moving millions of “crawled not indexed” pages into the live Google SERPs index.
  • Estimated revenue benefit: $8.6M annually, based on conservative industry benchmarks linking performance improvements to conversion rates.

These results validated that even small gains in speed can translate into disproportionate business outcomes for large-scale e-commerce sites. Importantly, the impact extended beyond Core Web Vitals to leading indicators such as crawl rates, impressions, and traffic growth.

Conclusion & Path Forward

The POC demonstrated that Early Hints can unlock hidden growth for retailers managing massive catalogs. For this auto parts leader, the acceleration of page loads led directly to better indexation, more impressions, and higher revenue potential.

While Early Hints delivered immediate wins, the next stage involves building on this momentum: implementing prerendering, advanced caching, and phased infrastructure enhancements. Each step moves the retailer closer to sustained Core Web Vitals “green” scores—ensuring long-term competitiveness in organic search and continued revenue growth.

A leading U.S. auto parts retailer used Harper’s Early Hints technology to overcome Core Web Vitals failures, achieving faster load speeds, dramatically improved indexation, and an estimated $8.6M annual revenue uplift. With minimal code changes, the proof-of-concept validated that even small performance gains can unlock significant growth opportunities for large-scale e-commerce businesses.

Download

White arrow pointing right
A leading U.S. auto parts retailer used Harper’s Early Hints technology to overcome Core Web Vitals failures, achieving faster load speeds, dramatically improved indexation, and an estimated $8.6M annual revenue uplift. With minimal code changes, the proof-of-concept validated that even small performance gains can unlock significant growth opportunities for large-scale e-commerce businesses.

Download

White arrow pointing right
A leading U.S. auto parts retailer used Harper’s Early Hints technology to overcome Core Web Vitals failures, achieving faster load speeds, dramatically improved indexation, and an estimated $8.6M annual revenue uplift. With minimal code changes, the proof-of-concept validated that even small performance gains can unlock significant growth opportunities for large-scale e-commerce businesses.

Download

White arrow pointing right

Explore Recent Resources

Livestream
GitHub Logo

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Livestream
Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Person with short hair wearing a light blue patterned shirt, smiling widely outdoors with blurred greenery and trees in the background.
Austin Akers
Head of Developer Relations
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
May 2026
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
Livestream

1.5 Hour Build - Vibe Coding a Full Personal Site: Design to Deployment in One Session

Watch Austin rebuild his personal website live using Claude AI and Harper, including a custom Markdown CMS, GraphQL schema design, React scaffolding, and full deployment. A real-time pair coding session from design to launch.
Austin Akers
Blog
GitHub Logo

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Blog
AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
May 2026
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
Blog

The Old Product Loop Is the New Bottleneck

AI has made it dramatically cheaper to get software to a working version, but most companies still plan like building is the expensive part. The new bottleneck is the product loop: forming sharp hypotheses, living inside the user experience, fixing friction as it appears, and feeding evidence back into the roadmap faster than ticket-based planning allows.
Aleks Haugom
Livestream
GitHub Logo

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Livestream
A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
May 2026
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
Livestream

2 Hour Build - Live Stream for Non-Developers

A non-developer's live stream walkthrough of building Flow State, a Colorado river-flow app for rafters, in two hours using ChatGPT dictation, Claude Code, Claude Design, and Harper. Scaffold with npm create harper@latest and deploy to Harper Fabric. No coding background required.
Aleks Haugom
Tutorial
GitHub Logo

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Tutorial
Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Person with very short hair and a goatee wearing a plaid button‑up shirt over a white undershirt, smiling outdoors with leafy greenery behind.
Jeff Darnton
SVP, Professional Services & Customer Success
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
May 2026
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
Tutorial

Production Quality at Vibe Code Velocity: Dispatched Agent Teams with Harper

Harper enables production-grade agentic engineering by collapsing database, cache, runtime, and messaging into one process, reducing agent complexity and review burden. A multi-model dispatch workflow lets specialized agents plan, code, QA, and review in parallel while humans retain control over critical decisions.
Jeff Darnton
Tutorial
GitHub Logo

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Tutorial
Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Person with very short hair and a goatee wearing a plaid button‑up shirt over a white undershirt, smiling outdoors with leafy greenery behind.
Jeff Darnton
SVP, Professional Services & Customer Success
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton
May 2026
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton
Tutorial

Change Data Capture Into a Runtime: One Pipeline for Pages, Search, and AI Agents

Learn how Harper turns CDC streams into real-time workflows that refresh cached pages, update search indexes, and keep AI agent context current. See why landing changes in an application runtime beats warehouses, queues, and traditional CDNs.
Jeff Darnton
Tutorial
GitHub Logo

Harper + Vertex AI: The Architecture Every Agent Builder Should Know

Production agents bleed tokens and latency on repeated queries. Pair a managed model layer with a vector-indexed data layer at the edge, and an 80% cache hit rate cuts LLM spend by 80% while delivering sub-100ms responses on semantically similar requests.
Tutorial
Production agents bleed tokens and latency on repeated queries. Pair a managed model layer with a vector-indexed data layer at the edge, and an 80% cache hit rate cuts LLM spend by 80% while delivering sub-100ms responses on semantically similar requests.
Person with styled reddish‑brown hair and a full beard wearing a gray suit with a light blue shirt and dark green tie, posing outdoors with a blurred pathway and greenery behind.
Drew Chambers
CMO
Tutorial

Harper + Vertex AI: The Architecture Every Agent Builder Should Know

Production agents bleed tokens and latency on repeated queries. Pair a managed model layer with a vector-indexed data layer at the edge, and an 80% cache hit rate cuts LLM spend by 80% while delivering sub-100ms responses on semantically similar requests.
Drew Chambers
May 2026
Tutorial

Harper + Vertex AI: The Architecture Every Agent Builder Should Know

Production agents bleed tokens and latency on repeated queries. Pair a managed model layer with a vector-indexed data layer at the edge, and an 80% cache hit rate cuts LLM spend by 80% while delivering sub-100ms responses on semantically similar requests.
Drew Chambers
Tutorial

Harper + Vertex AI: The Architecture Every Agent Builder Should Know

Production agents bleed tokens and latency on repeated queries. Pair a managed model layer with a vector-indexed data layer at the edge, and an 80% cache hit rate cuts LLM spend by 80% while delivering sub-100ms responses on semantically similar requests.
Drew Chambers