Reacher automates influencer discovery, outreach, and campaign management for TikTok Shop — replacing manual VA work and spreadsheet juggling with ML pipelines that process millions of creator-brand interactions. The stack (Python, FastAPI, PostgreSQL, React, ChatGPT integration) reflects a full-stack execution pattern, while active projects signal heavy investment in AI agents and scalable outreach tooling. Hiring remains engineering-weighted even as the company balances backend scaling and sales-org buildout.
Reacher operates a SaaS platform that simplifies influencer marketing for large brands using TikTok Shop. The product focuses on automating repetitive tasks in influencer discovery, outreach, and relationship management—eliminating the need for dedicated operations staff or manual list-building. Founded in 2024 and part of Y Combinator's Summer 2025 batch, the company is a small, San Francisco-based team (2–10 people) architecting ML pipelines to handle high-volume creator data and building out both product and go-to-market operations.
Backend: Python, FastAPI, PostgreSQL, Django. Frontend: React, Next.js, TypeScript, Tailwind CSS, shadcn/ui. Infrastructure: GCP, AWS, Cloud Composer, Apache Airflow. AI/integrations: ChatGPT, TikTok Shop API, Shopify, HubSpot. Testing: Jest, Cypress, Playwright. Analytics: Amplitude, Mixpanel.
ML pipelines processing millions of creator and brand interactions, AI-powered outreach agents, scalable backend systems, full-stack feature shipping, sales process automation, and TikTok Shop strategy workshops. Current challenges include scaling affiliate marketing, supporting high-volume users, and building out the sales organization.
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