You will get Autonomous AI Product Analyst: PostHog & n8n RAG Engine
Project details
Stop flying blind with "Dashboard Fatigue." Hire an AI Analyst that never sleeps.
You have rich data in PostHog, but no time to analyze it daily. Critical retention drops or bugs often go unnoticed for weeks. I build a Fully Autonomous AI Product Analyst using n8n, PostHog, and Claude 4.5 Sonnet.
Unlike basic bots, this is an Agentic AI capable of reasoning. It cross-references live analytics with your internal documentation (RAG) to understand why metrics move.
What this System Does:
24/7 Monitoring: Nightly analysis of user behavior, sessions, and funnels.
RAG "Brain": Reads your docs to understand business context (e.g., credit usage logic).
Self-Verification: Writes its own SQL queries to verify anomalies before alerting you.
Actionable Alerts: Delivers structured insights to Slack (Critical) or Notion (Strategy).
Automated Retention: Creates "At-Risk" cohorts in PostHog for instant retargeting.
Real-World Impact:
Caught a critical payment bug in 4 hours (saved ~$12k revenue).
Boosted mobile retention by 7% via auto-segmentation.
Saved the Lead Dev 15h/week of manual data work.
Stack: n8n, PostHog, Supabase (Vector DB), Claude 4.5 Sonnet.
You have rich data in PostHog, but no time to analyze it daily. Critical retention drops or bugs often go unnoticed for weeks. I build a Fully Autonomous AI Product Analyst using n8n, PostHog, and Claude 4.5 Sonnet.
Unlike basic bots, this is an Agentic AI capable of reasoning. It cross-references live analytics with your internal documentation (RAG) to understand why metrics move.
What this System Does:
24/7 Monitoring: Nightly analysis of user behavior, sessions, and funnels.
RAG "Brain": Reads your docs to understand business context (e.g., credit usage logic).
Self-Verification: Writes its own SQL queries to verify anomalies before alerting you.
Actionable Alerts: Delivers structured insights to Slack (Critical) or Notion (Strategy).
Automated Retention: Creates "At-Risk" cohorts in PostHog for instant retargeting.
Real-World Impact:
Caught a critical payment bug in 4 hours (saved ~$12k revenue).
Boosted mobile retention by 7% via auto-segmentation.
Saved the Lead Dev 15h/week of manual data work.
Stack: n8n, PostHog, Supabase (Vector DB), Claude 4.5 Sonnet.
What's included
| Service Tiers |
Starter
$900
|
Standard
$1,900
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 4 days | 9 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 0 | ||
Number of Sources Mined/Scraped | 0 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$150
Additional Page Mined/Scraped
(+ 2 Days)
+$150About Serhii
Marketing Analytics Architect | n8n Automation & AI | GA4 Python
Balakliia, Ukraine - 1:28 am local time
My clients stop wasting 20+ hours/week manually pulling reports. Instead, they get automated insights delivered to Slack every Monday with clear recommendations: what's working, what's bleeding budget, and exactly what to fix.
9+ years in marketing (Cannes Lion winner, agency-side, then CMO) taught me that dashboards don't drive growth—actionable intelligence does. I build the analytics infrastructure I wish I had back then.
LAUNCH SPECIAL: $35/hour for first 3 clients (normally $75)
Building my Upwork portfolio — same premium systems, introductory rate.
What I Build:
Lead Generation & Enrichment Systems
Automated pipelines that find, verify, and qualify leads on autopilot. From Google Maps scraping to AI-powered personalization—turn cold prospects into sales-ready conversations. My clients went from manual research (15 hours/week) to 500+ enriched leads delivered automatically.
Marketing Analytics Intelligence
Connect GA4, ad platforms, and your CRM into one system that monitors performance 24/7. Stop spending 5 hours/week pulling reports—get AI insights in Slack every Monday with clear recommendations on what's working and what to fix.
Product Analytics for Growth
Automated user behavior tracking, churn prediction, and cohort analysis. Understand what drives retention and revenue, then automatically segment users for targeted campaigns. My systems helped clients reduce churn by 30%+ and identify their highest-LTV segments.
Content & Social Media Analytics
Track what performs across all channels, identify winning themes, understand audience patterns. Know which content to double down on before your competitors figure it out.
Competitor Intelligence
Automated monitoring of competitor ads, social posts, and messaging strategies. Get weekly digests of what they're testing—spot opportunities, avoid mistakes, stay ahead.
AI Data Assistant
Your team asks questions in Slack ("What's our best campaign this month?")—AI answers instantly with data and charts. No SQL, no waiting on analysts.
Tech Stack:
Analytics: GA4, PostHog, SQL, Python, JavaScript
Automation: n8n (function nodes + AI agents), Supabase, PostgreSQL
AI: Claude, OpenAI, LangChain, Vector DBs
Integrations: Whatever marketing stack you're using
How I Work:
Async-first via Loom. You get faster delivery + video documentation of every system I build.
Need custom analytics workflows? If it involves marketing data, product metrics, and growth—I can architect it.
Let's turn your data into decisions that actually move revenue.
Steps for completing your project
After purchasing the project, send requirements so Serhii can start the project.
Delivery time starts when Serhii receives requirements from you.
Serhii works on your project following the steps below.
Revisions may occur after the delivery date.
Analytics & Documentation Audit
You provide access to PostHog and your product documentation (Notion/PDF). I audit your event tracking and business logic to ensure the AI has a high-quality "Knowledge Base" for RAG.
Vector Memory & ETL Setup
I configure the ETL pipeline to sync PostHog data into Supabase and embed your documentation into a Vector Store. This gives the AI Agent its "long-term memory" and business context.