u/ambitioner_

Hey guys,
Is it just me, or has Google Ads data become completely unusable lately because of bot traffic? I’m losing my mind trying to filter out fake clicks and spam form fills just to figure out which campaigns are actually driving real phone calls and legitimate leads.
Standard GA4 and native dashboards are a cluttered mess for this.
I’m genuinely considering building a dead-simple, real-time audit dashboard to fix this for myself. The idea is to plug into the Google Ads API and use a basic landing page script to strip out all the bot data, leaving just a clean report of ad spend vs. real, verified actions.
Before I waste weeks building this out:
Do you guys have a clean way of filtering this garbage out already? Or would a stripped-down, zero-fluff tracking layer actually be useful to you?
Be brutally honest. (No links or self-promo here per the rules, just trying to see if this is a shared pain point or if I'm doing something wrong).

Hey guys,
Is it just me, or has Google Ads data become completely unusable lately because of bot traffic? I’m losing my mind trying to filter out fake clicks and spam form fills just to figure out which campaigns are actually driving real phone calls and legitimate leads.
Standard GA4 and native dashboards are a cluttered mess for this.
I’m genuinely considering building a dead-simple, real-time audit dashboard to fix this for myself. The idea is to plug into the Google Ads API and use a basic landing page script to strip out all the bot data, leaving just a clean report of ad spend vs. real, verified actions.
Before I waste weeks building this out:
Do you guys have a clean way of filtering this garbage out already? Or would a stripped-down, zero-fluff tracking layer actually be useful to you?
Be brutally honest. (No links or self-promo here per the rules, just trying to see if this is a shared pain point or if I'm doing something wrong).

Hey guys,
Is it just me, or has Google Ads data become completely unusable lately because of bot traffic? I’m losing my mind trying to filter out fake clicks and spam form fills just to figure out which campaigns are actually driving real phone calls and legitimate leads.
Standard GA4 and native dashboards are a cluttered mess for this.
I’m genuinely considering building a dead-simple, real-time audit dashboard to fix this for myself. The idea is to plug into the Google Ads API and use a basic landing page script to strip out all the bot data, leaving just a clean report of ad spend vs. real, verified actions.
Before I waste weeks building this out:
Do you guys have a clean way of filtering this garbage out already? Or would a stripped-down, zero-fluff tracking layer actually be useful to you?
Be brutally honest. (No links or self-promo here per the rules, just trying to see if this is a shared pain point or if I'm doing something wrong).

Hey everyone,

I’m currently building an automated tracking layer that plugs into the Google Ads API to show exactly which ad spend results in a real phone call or form submission while stripping out the bot clutter.

I just whipped up the initial waitlist landing page to validate the idea before sinking months into the API integration.

My biggest challenge right now: Trying to explain a technical attribution tool in "dead-simple" terms without sounding like every other bloated SaaS dashboard out there.

For those of you running ads, what is your biggest frustration with current reporting? And does this setup make sense at a glance?

I'd love some brutal feedback on the landing page copy and positioning: https://relayys.com/

Hey Guys,

I’m offering a focused 20-day sprint where I take your app idea from scratch all the way to a fully published product on the App Store.

What you get:

• Idea validation and feature planning
• Clean, modern UI/UX design
• Full app development (frontend and backend if needed)
• Authentication, database, APIs, and integrations
• AI features if required
• Testing and bug fixing
• App Store deployment (including screenshots, metadata, and compliance)

Timeline (20 days):

• Days 1–3: Planning and wireframes
• Days 4–14: Development
• Days 15–17: Testing and polishing
• Days 18–20: App Store submission and launch

Tech stack (flexible):

• React Native(Expo) / Flutter / Next.js
• Node.js / FastAPI
• Supabase / Firebase / custom backend
• OpenAI and AI integrations

Whether you’re a founder validating an idea or someone who wants to ship fast, I’ll handle everything end-to-end.

If you're interested, drop a comment or DM me with your idea.