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Modash operates a creator discovery and search platform indexing 400M+ influencer profiles, built on a data-heavy stack (Elasticsearch, Milvus, PySpark, Airflow, SageMaker) that signals serious ML and vector-search capabilities. Active hiring skews 10 of 18 roles toward data and senior-level positions, reflecting internal focus on scaling search latency, embedding generation, and turning unstructured social data into structured insights—all documented pain points. The platform integrates deeply with Shopify and has shifted from discovery toward API-first positioning and pricing expansion.
Tech Stack 38 technologies
Core StackVue Node.js TypeScript AWS Pulumi MongoDB DynamoDB Shopify Python PySpark Apache Airflow Elasticsearch Apache Iceberg SageMaker AWS Glue AWS Lambda Iceberg PostgreSQL Slack Pinia Linear Notion Vitally GCP Milvus Kinesis AWS ECS Aurora AWS EMR Athena+8 more
What Modash Is Building
◆Challenges
- Turning messy public data into consistent insights
- Scaling data systems end-to-end
- Scaling creator partnerships
- Improving creator discovery
- Scaling search accuracy and speed
- Handling massive data volumes
- Low latency for millions of requests
- Disconnected api team
- Scaling engineering org
- Doubling team size
▲Active Projects
- Creating an understanding of the creators location, age, and interests at scale
- Creating systems to extract collaborations between creators and brands from raw social data
- Shaping the future of ai-assisted search, exploring how llms and embeddings can enhance search and recommendations
- Creator discovery and management platform
- Creator search engine indexing 400m+ influencer profiles
- Generating embeddings from images, videos, text, and audio at massive scale
- Designing indexing and querying pipelines to serve millions of requests with low latency
- Api customer journey
- Pipeline pricing expansion motion
- Engineering org for €30m arr
Hiring Activity
20 roles · 15 in 30d
Department
Seniority
Company intelligence