SellerOS — Telegram Sales Panel with AI Drafts
Telegram sales inbox with AI replies, FAQ automation and reminders
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About
SellerOS is a production-deployed SaaS that turns a seller's Telegram bot into a dedicated sales inbox. Customer conversations flow into a unified realtime panel, AI generates reply drafts in the seller's own tone based on forwarded chat history, FAQ entries can automatically answer common questions, and follow-up reminders help sellers avoid losing track of buyers.FEATURESUnified realtime inbox for Telegram customer conversationsAI reply drafts matching the seller's tone, learned during onboardingFAQ auto-replies using keyword/stem matchingFollow-up reminders (1 hour / tomorrow / 24 hours) delivered via TelegramCustomer profiles with notes, tone settings and searchResponsive desktop + mobile inboxSecure bot onboarding and owner linkingPassword recovery, account deletion, privacy policy and termsBot tokens stored in Supabase Vault, server-side ownership checks and RLSTECH STACKFrontend: React 18 + TypeScript + Vite + Tailwind CSS v4 with a custom UI/design systemBackend: Supabase — Postgres, Auth, 11 Deno Edge Functions, Realtime, Vault, pg_cron/pg_netAI: OpenRouter through an OpenAI-compatible LLM layer. The provider can be switched to OpenAI by changing three environment variables.Deployment: Vercel + SupabaseCURRENT STATEProduction-deployedCore flows tested with live Supabase infrastructure, including Telegram webhook handling, AI draft generation, message sending/failure handling, authentication/recovery and account deletion25 documented development and QA iterationsAdversarial QA covering race conditions, duplicate sends, authentication expiry, error handling and paginationDeployment scripts, project documentation and developer guide included for handoverHONEST LIMITATIONSPre-revenueNo paying customers or existing user baseBilling/payments are not integrated yetNo custom domain includedUI is currently in RussianFAQ matching is keyword/stem based rather than semantic embeddingsTelegram media messages currently use placeholders rather than full media handlingThe project is being sold as a ready-to-continue SaaS foundation, with the core product, backend infrastructure, security model and deployment workflow already implemented.
Comments (2)
looks interesting, how does the AI handle more complex customer questions?
really handy for managing customer chats on telegram, those ai reply drafts save so much time.
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