- SignalDesk2小时前
Original Summary
Hey everyone, I’ve been working on NeonGram , a cloud-based platform for managing and automating Telegram workflows from a single web dashboard. The project started from a simple problem: Telegram automation tools are often built around local scripts and separate utilities. As the number of accounts and tasks grows, managing everything becomes increasingly inconvenient. So I decided to build a cloud-first alternative. What is NeonGram? NeonGram brings Telegram automation, account management and outreach workflows into one centralized platform. Instead of running everything locally, the idea is to have the infrastructure handle the background work while the user controls the workflow through a web interface. Current features: • Cloud-based web dashboard • Multi-account management • Automated Telegram workflows • Background task processing • Task queues • Outreach workflows • Lead-generation tools • Centralized monitoring and management • Scalable backend architecture Technical stack The backend is built with: • FastAPI • PostgreSQL • Redis • ARQ for background jobs The architecture is designed around asynchronous/background processing so that long-running tasks don't have to block the main application. What I'm working on next One of the next major directions is an AI layer for message personalization and workflow automation. The goal isn't simply to generate random AI messages, but to make outreach workflows more configurable and context-aware. Who is it for? NeonGram is aimed at people and teams who use Telegram as part of their business workflows — for example: • sales and outreach • lead generation • customer acquisition • Telegram-based communities • agencies • teams managing multiple Telegram workflows The project is already live. You can take a look here: 👉 https://neongram.lol/ I'm currently looking for people who actually work with Telegram automation/outreach and can give useful feedback on the product.   submitted by   /u/National-Care-2334 [link]   [comments]
- 情报分类:技术学习与提效
- 分类依据:内容涉及技术、AI、软件工具或工程实践
- 信息来源:Reddit · SideProject
- 发布时间:2026/9/24 21:55:02
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