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Subsets

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Overview

Trusted retention automation platform for leading consumer subscription businesses. Predict churn with AI, automate A/B tests, and increase LTV, without engineering support.

Technologies

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Tech DNA
Python
SQL
Google BigQuery
PostgreSQL
AWS
GCP
AI/ML
Python
SQL
AWS
Docker
GCP
Terraform
dbt
Google BigQuery
PostgreSQL
Other
ETL/ELT
Stack modernity Cutting-edge
76/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
Industry adoption
Python
22%
SQL
17%
AWS
17%
Docker
15%
PostgreSQL
14%
GCP
13%
Share of companies in the same industry that use each technology.
Stack changes
ETL/ELT Aug 2026
Terraform Jul 2026
SQL Jul 2026
Python Jul 2026
PostgreSQL Jul 2026
Google BigQuery Jul 2026
GCP Jul 2026
Docker Jul 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Similar stack
Inetum 10 shared technologies Abinbev 10 shared technologies Amazon 10 shared technologies Snowflake 10 shared technologies Accenture 10 shared technologies Magenta Team 10 shared technologies

Growth

Hiring Momentum
31/100
Slowing
Open positions
0
0 opened / 0 closed in 30 days
Median time-to-fill
270 days
faster than 4% of the market
Hiring Dynamics 0%
Activity Timeline
Added Terraform to stack Jul 2026
Added SQL to stack Jul 2026
Added Python to stack Jul 2026
Added PostgreSQL to stack Jul 2026
Added Google BigQuery to stack Jul 2026
Added GCP to stack Jul 2026
Added Docker to stack Jul 2026
Added dbt to stack Jul 2026
Added AWS to stack Jul 2026