AdsGency AI Tech Stack

CDP and AI agent platform for programmatic ad campaign generation

Software Development San Francisco 11–50 employees Privately Held

AdsGency AI builds a customer data platform paired with LLM agent infrastructure to automate campaign creation across ad networks. The stack reveals a dual architecture: backend orchestration via Python/FastAPI/Kafka for data pipelines and agent coordination, with frontend dashboards in Next.js. Heavy adoption of agentic frameworks (LangChain, AutoGen, CrewAI) plus vector databases (Weaviate, Qdrant) signals the core product is AI-native — generating and optimizing campaigns via agents rather than static rules. Sales-heavy hiring (6 roles) against minimal engineering velocity (2 open roles, no posts in 30 days) and pain-point friction around 'engineering velocity to match ambition' suggests a go-to-market-led org scaling faster than the product org can sustain.

Tech Stack 41 technologies

Core StackPython FastAPI Go PostgreSQL Redis Kafka AWS React Next.js TypeScript Tailwind CSS OpenAI LangChain Weaviate Supabase Sentry Docker ClickHouse Railway Claude AutoGen CrewAI Qdrant PostHog Google Meta TikTok Google Ads Manager Meta Business Suite TikTok Ads Manager+11 more

What AdsGency AI Is Building

◆Challenges

Scaling ad automation globally
Optimizing ad campaigns at scale
Reducing reliance on human marketers
Scaling from startup to global platform
Real-time performance event pipelines
Engineering velocity to match ambition
Scaling customer success for ai-driven advertising
Improving campaign optimization across channels
Chaos in sales operations
Revenue precision

▲Active Projects

Llm agent infrastructure
Defining sales playbooks
Data pipelines & observability
Llm agent orchestration system
Real-time performance event pipelines
Next.js dashboards
Build scalable success playbooks
Core apis & microservices
Ai education for customers
Pipeline health dashboards

Hiring Activity

Minimal15 roles · 0 in 30d

Department

Sales

Engineering

Customer-Success

Product

Seniority

Senior

Manager

Mid

Junior

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About AdsGency AI

AdsGency AI operates a customer data platform focused on turning marketing data into programmatic ad campaigns. The company targets mid-market and enterprise marketing teams running campaigns across Google, Meta, and TikTok. Infrastructure spans real-time data pipelines (Kafka, ClickHouse, PostgreSQL), LLM-driven agent orchestration for campaign generation, and observability tooling (PostHog, Sentry). Active projects center on scaling agent infrastructure, building out sales and customer success playbooks, and improving real-time campaign performance visibility. Based in San Francisco with 11–50 employees, the org is distributed across sales, engineering, product, and customer success.

HeadquartersSan Francisco

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does AdsGency AI use?

Backend: Python, FastAPI, Go, PostgreSQL, Redis, Kafka, ClickHouse. Frontend: React, Next.js, TypeScript, Tailwind CSS. AI/ML: OpenAI, Claude, LangChain, AutoGen, CrewAI, Weaviate, Qdrant. Infrastructure: AWS, Railway, Docker. Ad integrations: Google Ads Manager, Meta Business Suite, TikTok Ads Manager.

What is AdsGency AI building?

Core projects include LLM agent infrastructure and orchestration systems for campaign generation, real-time performance event pipelines, Next.js dashboards for campaign monitoring, customer success playbooks, and AI education programs for customers using the platform.