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Case study

Internal tool

IshFlow

Instagram DM automation and lightweight CRM that lets a small seller manage customers, catalog and orders entirely from a Telegram bot.

TypeScriptExpressgrammySupabasePostgreSQLInstagram Graph APIDockerVitest

FIG. 001 / ARCHITECTURE

How the system connects

Live model

Problem

Small sellers using Instagram DMs as their main sales channel (a common pattern in the Central Asian market) have no way to track conversations, catalog or orders without leaving Instagram, and no easy way to reply, tag or manage customers on the go.

System

A Meta webhook forwards incoming Instagram DMs to a TypeScript/Express backend, which verifies them (HMAC + rate limiting), stores customers and messages in Supabase/Postgres, and pushes a Telegram notification to the seller. The seller replies, manages the product catalog and tracks orders directly from Telegram via a grammy-based bot, and replies are relayed back to the customer as native Instagram DMs.

FIG. 002 / HOW IT WORKS

How it works

IshFlow is a self-built SaaS aimed at sellers in the Central Asian market who run their business through Instagram DMs but want the operational simplicity of Telegram. It replaces "checking Instagram all day" with a webhook-driven pipeline that captures every DM, stores it against a customer and order record, and lets the seller run the whole conversation, catalog and order-tracking loop from a single Telegram bot — without ever opening Instagram.

Stack

What it runs on

TypeScriptExpressgrammySupabasePostgreSQLInstagram Graph APIDockerVitest

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