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

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

The symptom is usually the same: the app feels fine on Wi-Fi in the office, then drags on mobile data, stalls on first load, and tanks Core Web Vitals. In a Make.com and Airtable stack, the most likely root cause is not "the UI is bad" by itself. It is usually too many network round trips, slow Airtable reads, unbounded automation calls, and weak caching or image handling in the mobile frontend.

The first thing I would inspect is the request path from app open to first meaningful screen. I want to see what fires on launch, which calls wait on Airtable or Make.com, where secrets live, and whether any third-party script or webhook chain is blocking render. If the app is mobile-first, I also check whether the page or screen is shipping too much JS, too many images, or expensive client-side rendering that hurts LCP and INP.

Triage in the First Hour

1. Open the app on a real phone over 4G or throttled Wi-Fi. 2. Record a Lighthouse mobile run and save the report. 3. Check Core Web Vitals:

• LCP target: under 2.5s
• INP target: under 200ms
• CLS target: under 0.1

4. Inspect browser devtools Network tab for:

• number of requests on first load
• slowest Airtable calls
• repeated Make.com webhook calls
• large images or fonts

5. Review Make.com scenario history:

• failed runs
• retries
• long execution times
• loops triggered by updates back into Airtable

6. Review Airtable base structure:

• tables with too many linked records
• formula-heavy views
• wide records being pulled into the app

7. Check authentication and session flow:

• are users forced through extra redirects?
• are tokens stored safely?
• are secrets exposed in client code?

8. Inspect deployment settings:

• caching headers
• CDN status
• Cloudflare config
• SSL status

9. Look at logs for:

• API timeouts
• rate limit responses
• 4xx/5xx spikes

10. Confirm whether any production data sync runs on page load instead of after login or after user action.

A quick command I would use during diagnosis:

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

I am checking for cache headers, redirect chains, SSL issues, and whether the response is coming back with anything obviously wrong before I even open the app.

Root Causes

| Likely cause | What it looks like | How I confirm it | |---|---|---| | Too many Airtable reads on load | Mobile screen waits while multiple tables load | Network waterfall shows several sequential requests before paint | | Make.com scenarios chained too tightly | One action triggers 3 to 5 downstream automations | Scenario history shows long runtimes and repeated retries | | Client-side rendering does too much work | Blank screen, late content paint, high INP | Lighthouse shows poor LCP and main-thread blocking | | Large images or unoptimized assets | Heavy initial payload on mobile | Devtools shows large media files and slow decode time | | Weak caching / no CDN edge strategy | Every visit hits origin or Airtable again | Response headers show no useful cache policy | | Security controls create friction or failure | Expired tokens, bad redirects, exposed env vars | Auth logs show failures; config review reveals unsafe setup |

1) Too many Airtable reads on load

This is common when a founder uses Airtable like a full backend without shaping the data first. If one screen pulls several related tables with filters in the client, mobile performance falls apart fast.

I confirm it by checking whether the app loads all user data up front instead of only what is needed for the first screen. If one view depends on 5 requests and each request waits for another, that is your delay.

2) Make.com chains are doing real-time work that should be deferred

Make.com is great for automation, but it becomes a bottleneck when every user action waits on multiple scenarios to finish before showing anything useful. That creates slow pages and support tickets because users think the app froze.

I confirm this by reviewing scenario execution time, retries, and whether updates bounce between Make.com and Airtable in a loop.

3) The frontend is shipping too much work to the browser

If your mobile app renders large lists, heavy charts, or complex state logic entirely client-side, Core Web Vitals will suffer even if the backend is okay. This often shows up as poor LCP plus high INP from expensive JavaScript execution.

I confirm it by checking bundle size, hydration cost if applicable, and long tasks in performance traces.

4) Images and third-party scripts are bloating the page

A single uncompressed hero image or tracking script can wreck perceived speed on mobile. Founders often add analytics pixels, chat widgets, heatmaps, and embeds before they have basic performance guardrails in place.

I confirm this by looking at total transfer size and which third-party scripts block rendering or main-thread activity.

5) Caching and edge delivery are missing

Without Cloudflare caching rules or sensible browser cache headers, every visit becomes an origin-heavy request path. That hurts speed for repeat visitors and increases infrastructure fragility.

I confirm this by checking response headers such as cache-control, cf-cache-status, etag behavior, and whether static assets are served from edge.

6) Security misconfiguration is slowing down trust-critical flows

Because this stack touches domain setup, email auth, secrets, webhooks, and automations, security mistakes can create both risk and latency. Broken SPF/DKIM/DMARC does not directly hurt Core Web Vitals, but it can break onboarding emails and create failed logins that look like product slowness.

I confirm this by reviewing DNS records, secret handling, redirect rules, webhook authenticity checks where available, and least-privilege access across accounts.

The Fix Plan

My approach is to make one safe pass through the full request path before changing anything major. I do not start by rewriting the whole app because that usually creates a bigger mess than the original problem.

1. Map the critical path

• Identify exactly what must happen before first meaningful paint.
• Move non-essential syncs out of page load.
• Keep only one fast query per screen whenever possible.

2. Reduce Airtable payloads

• Query only required fields.
• Use filtered views instead of pulling entire tables.
• Split wide records into smaller logical tables if needed.
• Avoid formula-heavy views for hot paths.

3. Refactor Make.com automations

• Remove duplicate triggers.
• Break long chains into async steps.
• Add idempotency so repeated events do not create duplicates.
• Add retry limits so failures do not spiral into runaway delays.

4. Add edge caching through Cloudflare

• Cache static assets aggressively.
• Set proper cache-control headers.
• Enable SSL correctly end to end.
• Use redirects carefully so there is no chain of 3 or 4 hops.

5. Fix frontend delivery

• Compress images.
• Lazy-load below-the-fold content.
• Split bundles if needed.
• Remove unused libraries that inflate JS cost.
• Defer chat widgets and non-essential analytics until after interaction.

6. Secure secrets and environment variables

• Move all API keys out of client code.
• Store them in environment variables or server-side config only.
• Rotate any exposed keys immediately.
• Limit access by role so only required systems can read them.

7. Set monitoring before release

• Uptime checks for homepage and key API routes.
• Error alerts for failed automation runs.
• Performance alerts for LCP regressions above threshold.
• Log review for auth failures and webhook errors.

That gives you a safer production baseline without trying to redesign half your product at once.

Regression Tests Before Redeploy

Before shipping any fix to production, I want hard acceptance criteria rather than "it feels faster."

• Mobile Lighthouse score: at least 85 on performance for key screens.
• LCP: under 2.5s on throttled mobile test conditions.
• CLS: under 0.1 across primary screens.
• INP: under 200ms for core interactions like open modal, submit form, filter list.
• First screen should not require more than 2 critical network requests before render where possible.
• No secret keys present in client bundles or public repo files.
• No duplicate Make.com scenario triggers for one user action.
• No failed webhook retries beyond configured limits during test runs.
• Auth flow must complete within 2 redirects max unless there is a documented reason.
• Email delivery must pass SPF/DKIM/DMARC checks if onboarding emails are part of launch flow.

I also run exploratory tests on poor networks because that is where these apps fail first:

• Airplane mode recovery after reconnecting
• Slow login over unstable mobile data
• Empty state when Airtable has no records yet
• Error state when Make.com returns timeout or partial failure
• Large dataset behavior with at least 500 records in a view

Prevention

The fix does not hold unless you add guardrails after launch.

• Monitoring: set uptime alerts plus synthetic checks for login and first screen load every 5 minutes.
• Code review: check behavior first; do not approve changes that increase bundle size or add new blocking requests without a reason.
• Security: enforce least privilege across Airtable bases, Make.com scenarios, Cloudflare settings, DNS access, and deployment tools.
• Performance budgets: set hard limits such as JS bundle size under 250 KB compressed for critical screens where practical.
• UX guardrails: design loading states intentionally so users see progress instead of blank screens.
• Automation guardrails: keep Make.com scenarios small enough to understand; one trigger should do one job well.
• Observability: log request duration p95/p99 so you can spot regressions before customers complain.

For founders using AI-built apps from tools like Lovable or Cursor-generated codebases this matters even more because small changes can ripple across auth flow, API calls,and deployment config very quickly. A minor UI tweak can accidentally add two extra requests per screen load and turn into lost conversions within days.

When to Use Launch Ready

Use Launch Ready when you need me to get the product safe enough to ship fast without spending weeks guessing at infrastructure issues. It fits best when your blocker is domain setup chaos, email deliverability problems, broken deployment, missing SSL, unsafe secrets, or no monitoring around a product that already has real users waiting.

You should prepare:

1. Access to domain registrar and DNS provider. 2. Cloudflare account access if already used. 3. Deployment platform access. 4. List of current environment variables without exposing secret values publicly here unless we are inside secure handover channels only. 5. Make.com account access with scenario names documented. 6. Airtable base access plus table list used by production flows. 7. Any onboarding email templates currently sending from your domain. 8. A short note explaining which screens feel slow most often.

The safe path is: stabilize launch first,because broken deployment,downtime,and bad email deliverability cost money immediately; then optimize deeper once production is stable.

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://web.dev/vitals/

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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.*