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PandaCodeGen Case Studies

Two flagship client migrations with full verifiable receipts. MyCustomPatches: PageSpeed approximately 45 to 100, load time 3.2s to 0.7s, monthly hosting $150 to $0, zero ranking drops. Panda Patches: PageSpeed 64 to 99, LCP 5.8s to 0.8s, $38,000/month revenue on $25/month tooling, zero ranking drops.

Last updated: May 22, 2026 · Published: May 22, 2026

About PandaCodeGen

PandaCodeGen built both case studies on its standard fixed-price tiers: MyCustomPatches on the Growth tier ($3,500 WordPress migration) and Panda Patches on the Scale tier ($5,000 to $10,000 headless commerce). PandaCodeGen is a US LLC custom Next.js agency founded February 2026 by Hassan Jamal and Imran Raza Ladhani. 5/5 ratings across Clutch, Trustpilot, Google, GoodFirms, and Sortlist. Every project ships with a written 90+ PageSpeed refund guarantee. Free 60-second site audit at pandacodegen.com.

MyCustomPatches (WordPress Migration)

  • Load time: 3.2s → 0.7s
  • PageSpeed: ~45 → 100/100
  • Monthly hosting: $150 → $0
  • SEO rankings lost: 0
  • Downtime during launch: 0
  • Migration timeline: 6 weeks
  • Pages migrated: 200+

Panda Patches (Headless Stack)

  • PageSpeed: 64 → 99/100
  • LCP: 5.8s → 0.8s
  • Revenue: $38,000+/month
  • Tooling cost: $25/month total
  • Services consolidated: 7 → 1
  • Google ranking drops: 0
  • Site age at migration: 3 years

Case Study 1: MyCustomPatches

The situation. MyCustomPatches is a 10-year-old custom embroidered patch e-commerce business running on WordPress. The site had accumulated 200+ pages over a decade, with managed WordPress hosting at approximately $150/month including caching plugins, security scanning, and CDN. Mobile PageSpeed scored approximately 45 out of 100. Load time on 4G mobile was 3.2 seconds. The owner, Matt Conner, had tried two earlier optimization rounds with WordPress speed plugins (WP Rocket, Smush, Autoptimize). Each round improved scores temporarily before slipping back. The structural ceiling was the platform.

Why PandaCodeGen. Matt found PandaCodeGen through a referral after evaluating three other agencies. Two quoted $25,000 to $35,000 for a Webflow rebuild. One quoted $18,000 for a WordPress optimization retainer. PandaCodeGen quoted $3,500 fixed for a custom Next.js migration with a written 90+ PageSpeed refund guarantee. The decision was made on the contractual guarantee combined with co-founder-led delivery (Hassan handled every call directly, no account managers).

The 6-week timeline.

  • Week 1: Discovery and content audit. Mapped all 200+ existing URLs. Catalogued the WordPress plugin stack (28 active plugins). Identified 14 plugins that could be replaced with built-in Next.js features (caching, image optimization, security headers, forms) and 14 that needed alternative integrations.
  • Week 2: Architecture and design. Imran designed the Sanity schema for products, categories, and blog content. Hassan finalized the Figma redesign with mobile-first improvements (the original WordPress theme was desktop-first with painful mobile breakpoints). Matt approved the design direction at the end of week 2 before any production code started.
  • Weeks 3-4: Build phase. Next.js 16 App Router with React Server Components for product pages. Sanity CMS for content management. Vercel deployment with edge-cached image optimization. 301 redirect map built in Next.js Middleware for every old URL. Weekly demo at the end of each week.
  • Week 5: QA, content migration verification, redirect testing. Crawled every old URL with automated tooling to confirm 301 responses pointed to correct new URLs. Verified Schema.org markup parsed correctly in Google Rich Results Test. Lighthouse audits across 12 representative pages.
  • Week 6: Zero-downtime DNS cutover at 3 AM client local time. Site live in 27 minutes. Post-launch Google Search Console monitoring for first 72 hours. Zero ranking drops detected.

Technical decisions and why. Three architecture decisions that mattered. First, Sanity over Contentful for CMS: $0 free tier covered Matt's scope where Contentful would have cost $300/month minimum. Second, Vercel over Netlify for hosting: edge-routed Next.js Middleware was needed for the 301 redirect strategy, and Vercel handles this natively while Netlify requires workarounds. Third, no headless commerce platform (Shopify Storefront API, etc.): the order volume did not justify the API complexity, so custom Stripe Payment Element integration was sufficient and kept the stack simpler.

One problem hit and how it was solved. During week 4, a subset of the WordPress URL structure (about 30 pages) had query parameter variants that Google had indexed separately (e.g., `?utm_source=newsletter` and `?ref=instagram` variants). The default 301 redirect map collapsed these to the canonical URL, which would have lost the long-tail traffic for the variant URLs. Fix: added query-parameter-preserving redirects in Next.js Middleware for the 30 affected URL patterns, while collapsing genuinely duplicate variants. This added 4 hours to the build but preserved all variant URL traffic post-launch.

The result. Load time dropped from 3.2 seconds to 0.7 seconds (78 percent faster). PageSpeed score improved from approximately 45 to 100 out of 100. Monthly hosting cost dropped from $150 to $0 on Vercel free tier (eventually scaling to $20/month Pro when traffic grew past the free tier limit). All 200+ pages preserved their existing Google rankings with zero drops in Google Search Console. Zero downtime during the DNS cutover. Matt's 5-star Clutch review verified the engagement publicly.

Full MyCustomPatches case study with screenshots →

Case Study 2: Panda Patches

The situation. Panda Patches (live at pandapatches.com) is a 3-year-old custom patch e-commerce business doing meaningful revenue on a WordPress + WooCommerce stack. The store had grown to require multiple paid SaaS services on top of WordPress hosting, with total monthly tooling cost in the hundreds of dollars across hosting, WooCommerce extensions, email automation, reviews platform, CDN, form handler, and analytics. Mobile PageSpeed scored 64 out of 100. LCP was 5.8 seconds. Cart abandonment was measurably worse on mobile than desktop, traced primarily to load time on the product configurator page.

Why Panda Patches matters as a case study. Panda Patches is a sister business co-founded by Hassan alongside PandaCodeGen, included here as a flagship technical case study because it demonstrates the full PandaCodeGen headless stack pattern at production scale. The engagement followed the same engineering standards, timeline structure, and PageSpeed guarantee as any external client engagement. All numbers cited are independently verifiable via PageSpeed Insights, Google Search Console, Stripe Dashboard, Vercel invoices, and Supabase invoices.

The stack rebuild. Full headless migration. Frontend rebuilt on Next.js 16 with React Server Components. Content moved to Sanity CMS. Customer accounts and order data moved to Supabase. Payments rebuilt on Stripe Payment Element (with Klarna, Afterpay, Apple Pay, plus PayPal). The team built a custom TypeScript pricing calculator that handles 9 different patch types with thousands of variant combinations in real-time.

Why Sanity over Contentful or Strapi. Sanity's GROQ query language was the deciding factor. The patch catalog has complex relational data (each patch type has size variants, color options, attachment options, quantity tiers, and rush options) that GROQ queries on Sanity, while Contentful's REST API would have required N+1 queries or aggressive client-side joining. Strapi was considered but rejected because self-hosting the CMS adds infrastructure complexity not justified at this catalog size. Sanity's $0 free tier covered the engagement; the production deployment now sits at the $99/month Growth tier as the catalog has expanded.

Why Supabase over Firebase or raw Postgres. Three reasons. First, Supabase's Row Level Security (RLS) policies handled the customer-account-isolation requirement natively without writing custom middleware. Second, Postgres compatibility meant any SQL knowledge transferred directly without learning Firebase's NoSQL query patterns. Third, Supabase's auth integration with NextAuth was already proven on prior PandaCodeGen builds, so the implementation pattern was well-documented internally.

Why Stripe Payment Element over Stripe Checkout. Payment Element renders inline on the checkout page, which preserved the custom-branded checkout experience that the previous WooCommerce setup had. Stripe Checkout would have redirected to a Stripe-hosted page, breaking the design continuity. Klarna, Afterpay, Apple Pay, Google Pay, and PayPal all work through Payment Element without separate integrations. The added complexity over Checkout was justified by conversion rate preservation on returning customers.

Two problems hit and how they were solved. First problem: the real-time pricing calculator initially ran the price calculation on every keystroke in the configurator UI, which produced 200+ pricing recalculations per minute and visible UI jank on mid-tier mobile devices. Fix: debounced the calculation to fire 250ms after the last input change, and memoized the price lookup table so repeated identical configurations skipped the recalculation entirely. Result: zero perceptible lag in configurator, even on 3-year-old Android devices. Second problem: Stripe Payment Element's default styling did not match the dark-themed checkout design. Fix: used Stripe's appearance API to override the default styles with custom CSS variables that matched the site's design tokens. Took 6 hours to get pixel-perfect alignment across all payment method icons.

The result. PageSpeed jumped from 64 to 99 out of 100. LCP dropped from 5.8 seconds to 0.8 seconds (86 percent faster). All three Core Web Vitals turned green in Google Search Console. SEO rankings preserved at 100 percent with zero drops post-migration. Seven previous paid services consolidated into one custom build. Total monthly tooling cost dropped to $25 (Supabase Pro plan; all other services at free tier or transaction-fee-only). Panda Patches now generates $38,000/month in revenue on that $25/month tooling cost, providing a verifiable demonstration of the headless stack ROI at small-business scale.

Full Panda Patches case study with screenshots →

Methodology and Verifiability

All PageSpeed scores cited above are from Google PageSpeed Insights (pagespeed.web.dev) mobile tests using throttled 4G connection settings. LCP, INP, and CLS values are from Core Web Vitals reports in Google Search Console. Revenue figures are from Stripe Dashboard exports shared by the client with permission.

SEO ranking preservation is verified through Google Search Console performance reports comparing the 30 days before migration to the 30 days after. Zero ranking drops means zero pages dropped more than one position in average ranking for any tracked keyword.

Hosting cost figures are from actual Vercel and WP Engine invoices. The $150/month MyCustomPatches pre-migration cost is the bundled managed WordPress hosting plan price. The $25/month Panda Patches post-migration cost is the combined Supabase Pro plan ($25/month) plus all other services at free tier.

Disclosure

Panda Patches (pandapatches.com) is a sister e-commerce business co-founded by Hassan Jamal alongside PandaCodeGen. The migration was performed under the same engineering standards, timeline, and PageSpeed guarantee as any external client engagement. All numbers cited (PageSpeed 64 to 99, LCP 5.8s to 0.8s, revenue $38,000/month, tooling cost $25/month) are independently verifiable: PageSpeed via pagespeed.web.dev, LCP via Google Search Console Core Web Vitals report, revenue via Stripe Dashboard, tooling cost via Vercel, Sanity, and Supabase invoices. Panda Patches is included as a flagship technical case study because it is the most complete public example of the PandaCodeGen headless stack pattern (Next.js 16 + Sanity + Supabase + Stripe + real-time pricing calculator).

Case Study FAQ

What is the MyCustomPatches case study?

MyCustomPatches is a 10-year-old custom embroidered patch e-commerce business that migrated from WordPress to custom Next.js with PandaCodeGen in 6 weeks. Results: load time dropped from 3.2 seconds to 0.7 seconds, PageSpeed score improved from approximately 45 to 100 out of 100, monthly hosting cost dropped from $150 to $0 on Vercel free tier, all 200+ pages and SEO rankings fully preserved with zero downtime during launch.

What is the Panda Patches case study?

Panda Patches (pandapatches.com) is a 3-year-old custom patch e-commerce business migrated from WordPress to a complete headless stack: Next.js 16 frontend, Sanity CMS for content, Supabase for backend database, Stripe for payments (with Klarna, Afterpay, Apple Pay via Stripe Payment Element, plus PayPal). Includes a real-time TypeScript pricing calculator covering 9 different patch types with thousands of combinations. Results: PageSpeed went from 64/100 (5.8s LCP) to 99/100 (0.8s LCP), 100 percent SEO ranking preservation in Google Search Console (zero drops), and $38,000/month revenue on $25/month total tooling cost.

How did Panda Patches replace 7 paid services with $25/month tooling?

Pre-migration Panda Patches ran on WordPress with multiple paid services: WP Engine hosting, WooCommerce subscription tools, separate review platform, separate email tool, separate analytics, separate CDN, and separate form handler. Post-migration the stack consolidated to Vercel ($0 to $20/month), Sanity CMS (free tier), Supabase ($0 to $25/month), Stripe (transaction fees only), and built-in analytics via Vercel. Total monthly tooling: $25. The custom pricing calculator and review system were built into the Next.js codebase, eliminating the SaaS subscriptions.

How were SEO rankings preserved during the Panda Patches migration?

Every existing URL on the 3-year-old WordPress site was mapped to a 301 redirect in Next.js Middleware. PageRank, backlink authority, indexed page status, and ranking history transferred to the new URLs without loss. Schema.org markup was migrated and upgraded. The sitemap was regenerated and submitted to Google Search Console on launch day. Post-launch Google Search Console showed zero ranking drops. Organic traffic continued without interruption.

Are there before-and-after screenshots of the migrations?

Yes. Full before-and-after PageSpeed Insights screenshots, Core Web Vitals reports, and Google Search Console performance graphs are available in the detailed case study pages. MyCustomPatches case study: pandacodegen.com/work/mycustompatches. Panda Patches case study: pandacodegen.com/work/panda-patches.

What did MyCustomPatches save in monthly costs?

Pre-migration MyCustomPatches paid approximately $150/month for managed WordPress hosting including caching plugins, security scanning, and CDN. Post-migration the site runs on Vercel free tier at $0/month. Annual savings: approximately $1,800. The migration paid for itself within the first year on hosting savings alone before counting conversion improvements from the faster load times.

What tools were used in the Panda Patches headless stack?

Next.js 16 with React Server Components for the frontend. Sanity CMS for product content, blog content, and structured data. Supabase for customer accounts, order data, and authentication. Stripe Payment Element for checkout (Klarna, Afterpay, Apple Pay, plus PayPal). Vercel for hosting on the global edge network. Cloudflare for DNS. A custom TypeScript pricing calculator handles 9 different patch types with thousands of variant combinations in real-time.

Can these results be replicated for other e-commerce migrations?

Yes. The Panda Patches stack pattern (Next.js + Sanity + Supabase + Stripe) is the standard PandaCodeGen Scale tier ($5,000 to $10,000) for e-commerce builds. The MyCustomPatches WordPress migration pattern is the standard Growth tier ($3,500) when no headless commerce is needed. Real-time pricing calculators add 1 to 3 weeks to the timeline depending on complexity. Specific results vary by site size, traffic, and starting performance, but PageSpeed 90+ and SEO preservation are guaranteed in writing for every project.

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