How I Would Fix slow pages and weak Core Web Vitals in a Make.com and Airtable marketplace MVP Using Launch Ready.

How I Would Fix slow pages and weak Core Web Vitals in a Make.com and Airtable marketplace MVP Using Launch Ready

The symptom is usually obvious: pages feel sticky, the first load takes too long, buttons lag, and Core Web Vitals are red or amber. In a marketplace MVP built on Make.com and Airtable, the most likely root cause is not "one bad line of code", it is usually too many network hops, heavy client-side rendering, third-party scripts, and Airtable being used like a real-time app database.

The first thing I would inspect is the critical rendering path on the homepage and listing page. I want to see what blocks LCP, what shifts layout for CLS, and what is making INP worse than it should be. If the app also has weak API security, I would check whether Airtable keys, Make webhooks, or admin endpoints are exposed in the frontend or logs.

Triage in the First Hour

1. Open the homepage and marketplace listing page in Chrome DevTools. 2. Run Lighthouse for mobile, not desktop. 3. Check WebPageTest or PageSpeed Insights for LCP, CLS, INP, TTFB, and total blocking time. 4. Inspect the Network tab for:

• Airtable API calls on initial load
• Make.com webhook calls
• large images
• third-party chat widgets
• analytics tags

5. Review the console for hydration errors, failed requests, and CORS issues. 6. Check Cloudflare analytics if it is already in place:

• cache hit ratio
• bot traffic
• edge response times

7. Review Airtable base structure:

• number of linked records
• formula fields
• rollups
• views used by the app

8. Inspect Make scenarios:

• how many steps run per request
• retry behavior
• slow modules
• duplicate triggers

9. Check deployment logs for build size warnings and failed environment variables. 10. Confirm secrets handling:

• no Airtable personal token in frontend code
• no Make webhook URL exposed where it can be abused

If I can only do one thing in that first hour, I would measure before touching anything. Guessing at performance usually makes founders waste a day fixing the wrong layer.

curl -I https://your-domain.com

I use this early to confirm whether headers show caching, compression, Cloudflare presence, and redirect behavior before I touch code.

Root Causes

| Likely cause | What it looks like | How I confirm it | |---|---|---| | Airtable used as live query source on every page load | Slow first paint and delayed content | Network tab shows multiple Airtable requests before render | | Too much data fetched from Make.com | Slow page transitions and high INP | Scenario logs show long execution time or chained modules | | Large images or unoptimized media | Bad LCP and layout shifts | Lighthouse flags oversized images or missing dimensions | | No caching at edge or app level | Every visit feels like a cold start | Repeated requests hit origin instead of Cloudflare cache | | Third-party scripts blocking render | Delayed interaction and main-thread jank | Performance trace shows long tasks from chat/analytics/embed scripts | | Weak API security causing defensive workarounds | Extra redirects, auth checks, or blocked requests slow everything down | Secrets in client code, permissive CORS, missing rate limits |

A marketplace MVP often fails because it tries to behave like a full SaaS before it has the architecture for it. Airtable is fine for admin workflows and low-volume operations, but if every public page depends on live Airtable reads plus Make automation plus frontend rendering, you get latency stacked on latency.

API security matters here because performance fixes can accidentally expose data. If you move data into caches or add proxy endpoints without auth checks, you can turn a speed issue into a customer data issue.

The Fix Plan

1. Separate public pages from dynamic operations.

• Homepage, category pages, and marketing pages should be mostly static.
• Only authenticated actions should call live APIs.

2. Put Cloudflare in front of everything public.

• Enable caching for static assets.
• Turn on Brotli compression.
• Set aggressive cache headers for images and JS bundles.
• Use redirects at the edge instead of extra app hops.

3. Stop querying Airtable directly from the browser where possible.

• Move reads behind a server route or cached endpoint.
• Return only the fields needed for the page.
• Avoid fetching full records when a summary view is enough.

4. Simplify Airtable structure.

• Reduce formula chains that recalculate on every update.
• Flatten overly nested linked record structures where practical.
• Create dedicated views for public-facing data access.

5. Break up Make scenarios.

• One scenario should do one job.
• Remove unnecessary waits, branches, and duplicate lookups.
• Use queued processing for non-urgent tasks like email syncs or notifications.

6. Cache expensive responses.

• Cache category lists, featured listings, profile snippets, and navigation data.
• Set short TTLs first: 60 to 300 seconds.
• Increase TTL only after confirming freshness requirements.

7. Optimize media aggressively.

• Convert hero images to WebP or AVIF.
• Serve responsive sizes with width and height set explicitly.
• Lazy-load below-the-fold media.

8. Remove or delay third-party scripts.

• Chat widgets should load after interaction or after idle time.
• Analytics should not block first render.
• Any embed that adds more than 100 ms main-thread work needs review.

9. Tighten API security while you optimize.

• Keep secrets in environment variables only.
• Restrict CORS to known origins.
• Add rate limits to public endpoints and webhooks.
• Log failures without logging tokens or personal data.

10. Deploy with rollback in mind.

• Ship one change set at a time.
• Keep a known-good release ready to restore quickly if LCP improves but checkout breaks.

My preferred path is boring on purpose: make public pages static or cached first, then reduce Airtable dependence second, then clean up Make scenarios third. That order protects revenue faster than trying to "optimize everything" at once.

Regression Tests Before Redeploy

Before I redeploy anything, I want proof that the fix improved speed without breaking marketplace behavior.

• Lighthouse mobile score:
• Performance 80+ minimum
• LCP under 2.5 seconds on key pages
• CLS under 0.1
• INP under 200 ms where possible
• Page load checks:
• Homepage loads with no console errors

-, listing page renders without waiting on non-critical automation

• Functional checks:

1. Search listings still returns correct results. 2. Submit lead form still triggers the right Make scenario once only. 3. Signup/login flow still works after caching changes. 4. Admin updates still sync back to Airtable correctly.

• Security checks:

1. No secret keys visible in frontend bundles or browser storage. 2. Public endpoints reject unauthorized requests cleanly with proper status codes. 3. CORS allows only approved domains.

• Edge cases:

1. Empty marketplace state shows useful copy instead of broken UI. 2. Slow network simulation still shows skeletons or loading states correctly. 3. Failed Airtable request returns a safe fallback message.

I also want one round of exploratory testing on mobile Safari and Chrome Android because marketplace founders often lose conversions there first when layout shifts are bad.

Prevention

The best prevention is to stop treating performance as an afterthought.

• Add performance budgets:
• JS bundle target under 250 KB compressed for marketing pages if possible

-, image size limits per template

• Add monitoring:

-, uptime alerts for homepage and critical flows -, synthetic checks for LCP-like page timing every few minutes

• Add review gates:

-, no deploy if Lighthouse drops below agreed thresholds by more than 10 points

• Add observability:

-, log slow API calls over p95 of 500 ms -, track failed Make runs by scenario name

• Add security guardrails:

-, least privilege access for Airtable bases and tokens -, rotate webhook secrets regularly

• Add UX guardrails:

-, loading states for every async action -, empty states that explain what users can do next

• Add dependency discipline:

-, audit third-party scripts monthly -, remove anything that does not clearly improve conversion

For an MVP marketplace, I would aim for p95 page response under about 800 ms from cache and keep most public pages near static delivery through Cloudflare whenever possible. That is realistic enough to improve conversion without overengineering the stack.

When to Use Launch Ready

Launch Ready fits when the product works but feels fragile at launch points: domain setup is messy, email deliverability is shaky, SSL is inconsistent across subdomains, deployment steps are manual, secrets are scattered around tools like Make.com and Airtable integrations are not production-safe yet.

• domain setup and DNS cleanup
• redirects and subdomains
• Cloudflare configuration
• SSL verification
• caching rules and basic DDoS protection
• SPF/DKIM/DMARC email setup
• production deployment checks
• environment variables and secrets handling
• uptime monitoring setup
• handover checklist

What you should prepare before booking:

1. Domain registrar access. 2. Cloudflare access if already connected. 3., hosting or deployment access credentials, 4., Airtable base access, 5., Make.com scenario access, 6., email sending provider details, 7., list of current production URLs, 8., any broken user journeys you already know about,

If your site is already live but slow pages are hurting signups or ad spend efficiency now this sprint is usually cheaper than waiting until you have churn reports proving the damage later.

Delivery Map

References

• https://roadmap.sh/frontend-performance-best-practices
• https://roadmap.sh/api-security-best-practices
• https://roadmap.sh/qa
• https://developers.cloudflare.com/cache/
• https://docs.airtable.com/

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Take the next step

If this is a problem in your product right now, here is what to do next:

• [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.

• [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*