惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

人人都是产品经理
人人都是产品经理
Blog — PlanetScale
Blog — PlanetScale
MyScale Blog
MyScale Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
WordPress大学
WordPress大学
Vercel News
Vercel News
D
Docker
博客园 - 聂微东
T
Tailwind CSS Blog
aimingoo的专栏
aimingoo的专栏
云风的 BLOG
云风的 BLOG
D
DataBreaches.Net
B
Blog RSS Feed
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - Franky
Microsoft Security Blog
Microsoft Security Blog
美团技术团队
F
Fortinet All Blogs
MongoDB | Blog
MongoDB | Blog
T
The Blog of Author Tim Ferriss
GbyAI
GbyAI
N
Netflix TechBlog - Medium
G
Google Developers Blog
腾讯CDC

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
I Built a SaaS in 3 Days That Solves a $500 Problem for Free
Tagintegrity · 2026-06-22 · via DEV Community

Tagintegrity

 ## The Problem I Kept Seeing

Every week, I'd see marketers and agencies
losing Google Ads conversion data without
knowing why.

The culprit? Consent Mode v2.

Since March 2024, Google requires proper
consent signals for EU/UK ads. Sites without
it lose:

  • 20-40% of conversion tracking data
  • Remarketing audiences
  • Attribution accuracy

Agencies were charging $200-500 to audit
this manually. Most site owners had no idea
they were affected.

What I Built

TagIntegrity — a free Consent Mode v2
scanner that checks any website in 60 seconds.

🔗 tagintegrity.com

It checks:

  • Google Tag Manager configuration
  • GA4 and Google Ads detection
  • Consent Mode v2 signals
  • CMP (Consent Management Platform) presence

Generates a shareable report showing exactly
what's broken.

The Tech Stack

Built entirely with:

  • Lovable (frontend + backend scaffolding)
  • Supabase (database, auth, edge functions)
  • Firecrawl (web scraping/scanning)
  • Stripe (payments)
  • Google AI Studio (Gemini Flash for AI-generated GTM fix guides)

Total build time: 3 days
Total cost: ~$32 (domain + Lovable Pro)

What I Learned

1. Ship ugly, then polish

My first version was embarrassingly basic.
Just a URL input and a pass/fail result.

But it worked. Real people used it.
Their feedback shaped every feature after.

2. Security takes longer than you think

I thought security would take 2 hours.
It took 2 days. Key issues I had to fix:

  • Users self-upgrading their plan in Supabase
  • AI feature accessible without authentication
  • Email spoofing for quota bypass
  • GTM fix guide readable via direct API calls

Each fix taught me something new about
Supabase RLS policies and edge function auth.

3. DNS is always the hardest part

Spent 3 days trying to connect my domain.
The issue? Wrong nameservers pointing to
an old hosting provider.

Lesson: Always check nameservers FIRST
when DNS isn't working.

4. No-code/low-code is legitimately powerful

I'm not a full-stack developer.
Using Lovable + Supabase, I built:

  • Authentication system
  • Payment processing
  • AI integration
  • Rate limiting
  • RLS security policies
  • Edge functions
  • PDF generation

Things that would have taken weeks
took hours.

5. The "launch" is never perfect

I launched with:

  • ❌ Broken shareable links
  • ❌ Email delivery not working
  • ❌ Missing pages (404 errors)
  • ❌ Security vulnerabilities

But I launched anyway. Fixed things as
real users found them.

Current Status

  • ✅ Live at tagintegrity.com
  • ✅ Visitors from 8+ countries
  • ✅ US, UK, France, Australia traffic
  • ✅ Featured on Hacker News
  • ✅ 3-tier pricing (Free/Pro/Agency)
  • 🔄 Working on first paying customer

The Monetization Model

Free: 5 scans/month, basic reports
Pro ($79/mo): Unlimited scans +
AI-generated GTM fix guides
Agency ($299/mo): White-label reports,
50 client sites
Setup Service ($199): Done-for-you
implementation

What's Next

  1. First paying customer (this week!)
  2. Blog content for SEO
  3. Agency partnerships
  4. Automated email sequences

Try It

If you manage Google Ads or build sites
for clients, check your Consent Mode setup:

👉 tagintegrity.com

Takes 60 seconds. Completely free.

Example scan:
tagintegrity.com/results/347d5a06-541d-4d6c-aff8-ead2f2718ef8


Happy to answer questions about the build,
the stack, or the business model.

What would you have built differently?