How I Would Fix slow pages and weak Core Web Vitals in a Make.com and Airtable AI-built SaaS app Using Launch Ready.

How I Would Fix slow pages and weak Core Web Vitals in a Make.com and Airtable AI-built SaaS app Using Launch Ready

The symptom is usually obvious: pages feel sticky, LCP is over 4 seconds, CLS jumps when data loads, and INP gets worse the moment a user clicks anything that triggers Make.com or Airtable. In most AI-built SaaS apps, the root cause is not one big bug. It is usually a chain of small issues: too much client-side rendering, slow third-party calls, unoptimized images, bloated scripts, and no caching or edge protection.

The first thing I would inspect is the critical path from browser to first meaningful paint. I want to see what blocks rendering, which requests are waiting on Airtable or Make.com, and whether the app is exposing secrets or making public API calls it should not make.

Triage in the First Hour

1. Open the homepage and top conversion page in Chrome DevTools.

• Check Performance, Network, and Lighthouse.
• Note LCP element, CLS sources, and long tasks over 200 ms.

2. Inspect Web Vitals in production.

• Look at real-user data if you have it from GA4, PostHog, Sentry, or Vercel Analytics.
• Compare mobile vs desktop. Mobile is usually where the damage shows up first.

3. Review the waterfall for blocking requests.

• Find render-blocking CSS and JS.
• Identify any Airtable fetches or Make.com webhook waits happening before first paint.

4. Check Cloudflare and DNS setup.

• Confirm SSL is active.
• Verify redirects are not chained.
• Check whether caching headers are missing or wrong.

5. Audit environment variables and secrets handling.

• Confirm no Airtable API keys, Make.com tokens, or webhook URLs are exposed in frontend code.
• Check build logs for accidental secret leaks.

6. Review app logs and error monitoring.

• Look for timeouts, failed fetches, retry storms, and rate-limit errors.
• Note any 429s from Airtable or Make.com.

7. Open the main user flow on a throttled mobile connection.

• Use Fast 3G or similar throttling.
• Watch for layout shifts during data hydration.

8. Inspect third-party scripts.

• Tag managers, chat widgets, analytics tools, and AI widgets often add more delay than founders expect.

## Quick web vitals smoke check from a local machine
npx lighthouse https://your-domain.com \
  --preset=mobile \
  --throttling-method=devtools \
  --output=json \
  --output-path=./lighthouse-report.json

Root Causes

| Likely cause | What it looks like | How I confirm it | |---|---|---| | Heavy client-side rendering | Blank screen until JS loads | Lighthouse shows high TBT/INP; DevTools shows large JS bundle | | Airtable used as live app database | Slow list views and delayed page loads | Network waterfall shows repeated Airtable requests on every route | | Make.com called during page load | UI waits for automation response | Main thread looks idle but page stays blocked on fetch | | No caching layer | Every visit hits origin and third parties | Repeat loads are almost as slow as first load | | Unoptimized media | Large hero images or videos push LCP past 4s | LCP element is an image with poor compression or wrong size | | Missing security controls causing defensive delays | Extra retries, failed auth checks, noisy logs | Logs show repeated auth failures or webhook validation errors |

My bias here is simple: if Airtable is acting like your primary application database for live reads on every page view, that is usually the wrong design for performance. Keep Airtable as an admin or workflow layer where possible, not the thing every visitor must wait on.

The Fix Plan

1. Move all non-critical data off the initial render path.

• Render the shell first.
• Load secondary data after paint.
• If users do not need it immediately to understand the page or convert, do not block on it.

2. Cache public content at the edge.

• Put Cloudflare in front of the app.
• Cache static assets aggressively.
• Add short-lived caching for public JSON where safe.

3. Stop calling Make.com directly from the browser when you can avoid it.

• Browser to automation tools is fragile and easy to abuse.
• Route sensitive actions through your backend or serverless endpoint so you can validate input and protect secrets.

4. Replace live Airtable reads with a sync layer where needed.

• For frequently viewed lists or dashboards, sync Airtable data into your app database or cache layer.
• Refresh on schedule or webhook trigger instead of every page load.

5. Compress and resize media properly.

• Convert hero images to WebP or AVIF where supported.
• Serve responsive sizes instead of one giant asset to everyone.

6. Reduce JavaScript weight.

• Remove unused libraries.
• Split non-essential components with dynamic imports.
• Delay chat widgets and marketing scripts until after interaction or consent.

7. Fix layout shifts before shipping anything else.

• Reserve space for images, banners, loading states, fonts, and dynamic cards.
• Do not let text move around after hydration.

8. Harden security while you touch performance paths.

• Validate all webhook payloads from Make.com.
• Rotate exposed secrets if any were ever committed or logged.
• Lock down CORS so only approved origins can call your endpoints.

9. Set sane retry behavior.

• If Airtable fails once, do not hammer it with aggressive retries from multiple clients.
• Use backoff and fail gracefully with a clear fallback state.

10. Use Launch Ready to finish the deployment layer properly if this stack has been improvised up to now.

• I would set up domain routing, SSL, redirects, subdomains, Cloudflare protection, SPF/DKIM/DMARC email records, production deployment settings, environment variables, secrets handling, uptime monitoring, and a handover checklist in one 48-hour sprint.

Regression Tests Before Redeploy

1. Measure Core Web Vitals again on mobile first.

• Target LCP under 2.5 s on key pages.
• Target CLS under 0.1.
• Target INP under 200 ms for main interactions.

2. Test critical pages under throttling.

• Homepage

. Pricing . Signup . Dashboard . Any onboarding step that uses Airtable or Make.com

3. Verify fallback behavior when third parties fail.

• Simulate Airtable timeout.

. Page should still load shell content . User should see a helpful message . No infinite spinner

4. Confirm no secret leakage in source maps or bundles.

• Search built assets for API keys, webhook URLs, tokens, and private IDs.

5. Check redirect behavior end to end.

• HTTP to HTTPS should be one hop only where possible

. Non-www to www or vice versa should be consistent . Subdomains should resolve correctly

6. Run basic accessibility checks while you are there. -. Buttons need visible labels . Loading states need text equivalents . Color contrast should remain readable during skeleton states

7. Test rate limits and abuse resistance safely with normal QA traffic patterns only -. Ensure forms cannot be spammed repeatedly without server-side control . Confirm webhook endpoints reject invalid payloads

Acceptance criteria I would use:

• Homepage Lighthouse performance score of 85+ on mobile after fixes
• LCP under 2.5 s on repeat tests from a typical US/EU region
• No critical layout shift above 0.1 during onboarding
• No frontend secrets present in shipped code
• No direct browser exposure of private automation credentials

Prevention

I would put guardrails around both performance and security so this does not come back in two weeks after another "quick" AI change.

• Add production monitoring for:

-. LCP . CLS . INP . Error rate . Third-party request latency . Airtable failure count

• Review every new script before it ships:

-. Does it block rendering? . Does it touch user data? . Can it be loaded later?

• Keep a small performance budget:

-. Main bundle size target under 200 KB gzipped where possible . Hero image under 200 KB compressed unless there is a strong reason otherwise

• Use secure defaults:

-. Least privilege API keys . Rotated secrets every time access changes . Strict CORS allowlist . Logged webhook failures without sensitive payloads

• Treat UX as part of performance:

-. Show skeletons instead of blank screens . Reserve space for cards and banners . Avoid sudden content jumps after data arrives

When to Use Launch Ready

Use Launch Ready when the problem is bigger than one slow component and you need the whole launch surface made safe fast. If your app has broken DNS setup,, missing SSL,, exposed secrets,, inconsistent redirects,, weak email deliverability,, no uptime monitoring,, or Cloudflare not configured properly,, I would fix that before spending more money driving traffic into a slow product.

• Domain setup and redirects done correctly
• Cloudflare configured for caching,, DDoS protection,, and SSL
• SPF,, DKIM,, DMARC set up so your emails do not land in spam
• Production deployment stabilized with environment variables handled safely
• Secrets moved out of the frontend path where they can be exposed by mistake
• Monitoring added so you know when performance drops again

What I need from you before I start:

• Domain registrar access
• Cloudflare access if already connected
• Hosting access such as Vercel,, Netlify,, Render,, Railway,, Firebase,, or similar
• Make.com account access plus scenario list
• Airtable base structure plus API usage details
• Any current analytics,, error monitoring,, or uptime tools already installed

If you want me to rescue this properly instead of guessing at fixes one by one,, Launch Ready gives me enough room to stabilize launch infrastructure first so your ad spend does not get wasted sending users into a slow broken funnel.

References

• https://roadmap.sh/frontend-performance-best-practices
• https://roadmap.sh/backend-performance-best-practices
• https://roadmap.sh/api-security-best-practices
• https://roadmap.sh/cyber-security
• https://developer.chrome.com/docs/lighthouse/performance/

---

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.*