Koah Tech Stack

Ad network for AI chat applications connecting publishers and advertisers

Technology, Information and Media San Francisco, CA 2–10 employees Founded 2024 Privately Held

Koah operates a two-sided marketplace for GenAI applications, handling real-time bidding, conversion prediction, and latency-critical matching. The stack—Kafka, ClickHouse, PostgreSQL, Debezium—reveals a data-heavy matching engine with streaming ingest and OLAP analytics. The engineering-dominant hiring profile (6 of 7 roles) and project focus on matching algorithms, p99 latency optimization, and conversion regression models indicate the company is building infrastructure-grade ad-serving logic rather than early-stage experimentation.

Tech Stack 21 technologies

Core StackTerraform AWS Loki Grafana Cloudflare PostgreSQL ClickHouse Redis Kafka Python Ruby on Rails React TypeScript Flutter React Native Tempo Mimir Tailscale Android iOS Debezium

What Koah Is Building

◆Challenges

Balancing publisher and advertiser outcomes
Reducing p99 latency
Optimizing sql query execution plans
Implementing robust retry mechanisms
Monetizing ai-native experiences
Defining new economic model for ai

▲Active Projects

Optimizing matching algorithms
Real-time bidding algorithms
Conversion prediction regression models
Privacy-preserving clustering for advertiser outreach
Build data pipelines using debezium to stream real-time changes from postgresql to our olap database for analytics workloads
Reduce p99 latency in critical write paths by optimizing sql query execution plans, implementing robust retry mechanisms, and enforcing strict timeouts for third-party services
Enhance ad matching algorithms using regression analysis to identify data patterns and develop hypotheses for new predictive features that improve conversion likelihood
Creating world class experiences for millions of users
Experiments to drive product decisions

Hiring Activity

Steady9 roles · 3 in 30d

Department

Engineering

Data

Marketing

Seniority

Senior

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About Koah

Koah is a GenAI ad network enabling publishers inside AI chat applications to monetize without degrading user experience, while providing advertisers direct access to high-intent users within generative AI environments. Founded in 2024 and based in San Francisco, the company operates a two-sided platform across web and mobile (React, React Native, Flutter, iOS, Android). Core challenges include balancing publisher and advertiser incentives, managing p99 latencies in critical paths, and defining an economic model suited to AI-native monetization rather than traditional ad unit structures.

HeadquartersSan Francisco, CA

Company Size2–10 employees

Founded2024

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Koah use?

Terraform, AWS, PostgreSQL, ClickHouse, Kafka, Debezium, Redis, Python, Ruby on Rails, React, TypeScript, Grafana, Loki, Tempo, Mimir, Cloudflare, Tailscale, and iOS/Android/Flutter SDKs.

What is Koah working on?

Real-time bidding and matching algorithms, conversion prediction regression models, p99 latency reduction in write paths, privacy-preserving advertiser clustering, and data pipelines streaming PostgreSQL changes to ClickHouse for analytics.