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Wishlink Tech Stack
Creator commerce platform linking influencers to brand sales
Wishlink operates a creator-to-consumer commerce network where influencers monetize recommendations and brands measure ROI on creator partnerships. The tech stack—React, Django, Spark, Databricks, BigQuery—reflects a data-pipeline-heavy architecture focused on tracking attribution and scaling reporting, evidenced by pain points around GMV reporting volume and projects building ETL workflows. Hiring is heavily weighted toward marketing (9 roles) and product (8), with minimal engineering (3), suggesting the company is optimizing distribution and merchant experience over core platform development.
Tech Stack 25 technologies
Core StackReact Django Apache Spark Databricks Delta Lake BigQuery SageMaker Airbyte Power BI Slack AWS Linux Ubuntu CentOS macOS bash Git Athena AWS EMR JumpCloud Bash Aurelia WhatsApp YouTube
What Wishlink Is Building
◆Challenges
- Spending hours browsing catalogs
- Long catalog browsing
- Users tired of browsing hours
- Lack of trusted reviews
- Long browsing times for product discovery
- Users need curated trusted reviews
- Curated shopping experience
- Early drop-offs in creator onboarding
- High volume gmv reporting
- Scaling it support for high user volume
▲Active Projects
- 0-to-1 experimental initiatives
- Etl workflows using spark in databricks delta lakehouse
- Creator acquisition strategy
- Product metrics framework
- Engagement and retention content strategy
- Onboarding content strategy
- Scroll-stopping scripts for content creators
- Creator lifecycle & funnels
- Gamification & experience
- Growth campaigns
Hiring Activity
Steady30 roles · 10 in 30d
Department
Seniority
Company intelligence
