AI Impostor Detection for TikTok & Instagram - Sell Project

Impostor.social is a working MVP that scans social platforms for impersonator/fake accounts, provides a clean dashboard, and exposes useful statistics and SEO pages. The product is live, organically growing (1 new user/day), and ideal for someone who can scale the backend, add automation and monetization, or partner with legal/DMCA services. I’m selling because I don’t have the time to scale it. What you get (complete handover) Frontend source code: Next.js app (full project) Backend source code: Python, containerized (Docker) Live server: Hetzner VPS instance (backend) Third-party account: ensembledata account (active) DNS / domain transfer support: https://impostor.social/ + https://imposter.social All existing SEO pages, scan logic, dashboard, statistics Documentation & a short onboarding walkthrough (README, how to run, how scans are triggered) Optional short support window after handover (negotiable) Key metrics & current status Traffic: 70–150 pageviews per day Active users: 83 registered users Organic growth: 1 new user per day without paid marketing Hosting cost: €10/month (Hetzner) + €30/month (Ensembledata) = €40/month Product state: frontend and user-facing features are complete (scan UI, dashboard, statistics, SEO). Background infrastructure needs improvement and scaling (reliability, scan parallelism, rate-limit handling, improved job queueing, etc.) Stripe is fully integrated Tech stack & infra Frontend: Next.js Backend: Python, Dockerized services Server: Hetzner VPS Data/third party: Ensembledata (account included) Repo: clean, runnable locally and on server (will provide access during transfer) Why this is a good buy / opportunity Real product solving a growing problem: impersonation, fake accounts and brand abuse are exploding for influencers and brands. Early traction + SEO presence (ready to push for organic growth). Multiple clear monetization paths: Legal partnerships (law firms issuing cease-and-desist / DMCA services; recurring revenue per takedown) Premium SaaS: alerts, priority scans, team accounts, enterprise monitoring White-label / agency offering for reputation managers AI-powered strike automation / reporting assistants API access and bulk scans for agencies or PR firms Technical upside: improve background workers, add concurrency, integrate more social platforms, add paid onboarding and better UX. Known limitations / what needs work Background scanning architecture needs robustness (scaling, retries, throttling and error handling). Some platform connectors could be improved or hardened for reliability. No mature monetization yet — product is primarily an MVP with organic users and SEO traction.