GAfix.ai
GA4 Auditor
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GAfix is a GA4 audit and diagnostics platform that helps teams identify and fix tracking issues quickly and accurately. It scans Google Analytics 4 properties for common configuration problems across events, conversions, property settings, and data collection, highlighting issues that impact reporting reliability.
The platform runs automated audits using a structured checkpoint system, making it easy to spot missing events, incorrect conversion setups, misconfigured settings, and tracking gaps that often go unnoticed. GAfix presents findings in a clear, actionable format so marketers, analysts, and product teams can understand whatโs broken and what needs attentionโwithout manual audits or complex GA4 navigation.
GAfix supports both free and pro audits, allowing teams to start with a high-level health check and move to a deeper analysis as needed. Itโs designed for SaaS companies, agencies, and growth teams that rely on accurate GA4 data to make confident decisions and want a faster, more reliable way to audit analytics implementations.
GAfix.ai
GitHubGAfix.ai's answer
GAfix automates GA4 audits using real-world analytics frameworks, turning complex tracking issues into clear, prioritized, and actionable fixesโwithout requiring technical expertise or code access.
GAfix.ai's answer
GAfix focuses on clarity and action, not just diagnostics. It delivers faster audits, business-friendly explanations, and read-only, privacy-safe accessโmaking it ideal for teams that need reliable data without heavy engineering involvement.
GAfix.ai's answer
Marketing teams, analytics professionals, growth teams, and digital agencies who rely on GA4 data and need confidence that their tracking is accurate, compliant, and decision-ready.
GAfix.ai's answer
GAfix was created after seeing how often GA4 implementations were silently broken, leading teams to make decisions on flawed data. The goal was to standardize analytics audits and make GA4 reliability accessible to everyone.
GAfix.ai's answer
Cloud-native backend services, GA4 APIs, rule-based analytics engines, and AI-assisted logic for detection and recommendations, built with enterprise-grade security and scalability in mind.
GAfix.ai's answer
GAfix does not publicly disclose customer names, but it is used by: -Digital marketing agencies managing multiple GA4 properties -SaaS and B2B companies with complex analytics setups -E-commerce brands relying heavily on conversion tracking -Enterprise teams requiring governed, compliant analytics data
Based on our record, GitHub seems to be more popular. It has been mentiond 2466 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 9 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 9 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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