Sun.store is a vertical marketplace for photovoltaic equipment, built on Python + BigQuery + LangChain with a Vue/TypeScript frontend and Laravel backend. The tech stack reveals an early-stage company layering AI/ML (LangChain, LlamaIndex, scikit-learn) onto core platform infrastructure—consistent with active projects in ML-driven pricing and logistics optimization. Hiring velocity is decelerating despite open roles, and the org is mid-heavy (6 mid-level, 1 senior) across sales, engineering, and data, suggesting the team is past initial build but not yet scaling aggressively.
Sun.store operates a B2B trading platform connecting solar component suppliers and buyers across Europe, launched in 2023. The business is merchant-facing (B2B marketplace model), built on a modern stack pairing data engineering (BigQuery, Pandas, SQL) with customer-engagement tooling (HubSpot, Google Ads, LinkedIn). Current projects center on ML-driven pricing and logistics optimization, cross-functional workflow automation, and design system consolidation. The company is actively building its go-to-market engine through HubSpot integrations and lead-management automation.
Python, Pandas, SQL, BigQuery, LangChain, LlamaIndex, and scikit-learn for data and ML. Frontend: Vue, TypeScript, Vuetify, Pinia. Backend: Laravel, PHP. Infrastructure: Docker, Kubernetes. Marketing/CRM: HubSpot, Google Ads, LinkedIn.
ML models for pricing and logistics optimization, HubSpot CRM and workflow automation, advanced product dashboards, a design system, and customer-facing product discovery tools to support go-to-market initiatives.
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