LeadGenRunner
Devi AI
Brand24
DMpro.ai
LeadAny
Lead Cheap
Leado.co
TGDesk
React
Vue.js
Next.js
Svelte
Tailwind CSS
Angular.io
Node.js
AngularJS
Stop spending hours scrolling through Telegram groups looking for leads. LeadGenRunner does it for you.
LeadGenRunner is an AI-powered tool that monitors Telegram groups and channels for buyer-intent messages matching your keywords. When a potential client posts a message, you get an instant notification with the message content, sender info, and a direct link.
What makes it different:
AI Lead Classification โ A specialized AI agent analyzes every matching message for intent, urgency, and relevance, classifying leads as Hot, Warm, or Cold so you focus on what matters.
AI Reply Suggestions โ Don't know how to start the conversation? AI drafts an engaging, contextual response. Just review and send.
Channel Discovery โ AI finds relevant Telegram groups and channels for your niche automatically, expanding your reach.
Scale Without Hiring โ Monitor 500+ chats simultaneously without additional staff. One person can handle what used to require a team.
Real-Time Analytics โ Track which chats bring the most leads, which keywords perform best, and optimize your strategy with data.
Plans start at $9/month. Free 5-day trial, no credit card required.
Supports English, Russian, Spanish, Portuguese, Turkish, and Arabic.
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LeadGenRunner's answer
LeadGenRunner is the only tool that combines real-time Telegram group monitoring with AI-powered lead classification. While other tools scrape member lists or require manual searching, LeadGenRunner monitors public messages 24/7 for buyer-intent keywords and uses AI to classify every lead as Hot, Warm, or Cold - so you only focus on prospects ready to buy. It also generates contextual reply suggestions, letting you respond in seconds instead of hours.
LeadGenRunner's answer
Three reasons: (1) It's Telegram-native - built specifically for Telegram's ecosystem using the official API, not scrapers that risk account bans. (2) AI does the heavy lifting - instead of reading hundreds of messages yourself, AI classifies leads by intent and urgency, and drafts ready-to-send replies. (3) Scale without hiring - one person can monitor 500+ chats simultaneously, replacing what used to require a team of 3-5 people manually scrolling through groups. Plans start at $9/month with a free 5-day trial, no credit card required.
LeadGenRunner's answer
Digital marketing agencies, B2B sales teams, freelancers, and small business owners who use Telegram as a sales channel. Particularly popular with agencies managing client outreach in Telegram communities, crypto/Web3 projects monitoring industry conversations, real estate professionals tracking buyer inquiries, and consultants looking for project opportunities in niche groups. The common thread: they know their ideal clients are posting in Telegram groups right now, but finding those messages manually is unsustainable.
LeadGenRunner's answer
LeadGenRunner was born out of frustration. I was spending 3-4 hours every day scrolling through dozens of Telegram groups looking for potential clients - people asking for recommendations, looking for services, discussing problems I could solve. The messages were there, but finding them was like looking for a needle in a haystack. I built a simple keyword monitor for myself, then added AI classification when I realized that even with keyword matches, 70% of messages were noise. The AI layer changed everything - suddenly I was only seeing high-intent leads. I turned it into a product in 2025, and now it saves users hours every day while finding leads they would have otherwise missed.
LeadGenRunner's answer
LeadGenRunner is a web-based SaaS application built with Python (FastAPI) on the backend and Vue.js on the frontend. It uses the official Telegram API via Pyrogram for real-time message monitoring, OpenAI GPT for AI lead classification and reply generation, and PostgreSQL for data storage. The platform is hosted on cloud infrastructure with real-time WebSocket notifications.
LeadGenRunner's answer
Based on our record, React seems to be more popular. It has been mentiond 818 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's start by preparing a sample application that we want to place in a Docker image. This will be a web application created using the React framework and its create-react-app tool. It will generate a code template and configuration, allowing us to focus on the image creation aspects. - Source: dev.to / about 1 year ago
Python integrates seamlessly with machine learning (TensorFlow, PyTorch) and data analytics stacks (Pandas). Node.js integrates better with frontend JS ecosystems like React, Vue, and Next.js. - Source: dev.to / 10 months ago
Dora AI exemplifies this. Allan Murphy Bruun adds, "What makes it different is its context-aware logic stitching that understands user flows beyond just UI elements." By analyzing Figma designs, it generates React code with state management, saving hours in development. - Source: dev.to / 11 months ago
Import { createFileRoute } from "@tanstack/react-router"; Import logo from "../../logo.svg"; Import "../../App.css"; Export const Route = createFileRoute("/_authenticated/")({ component: AuthenticatedRoute, }); Function AuthenticatedRoute() { return (- Source: dev.to / about 1 year ago
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One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget โ a theme echoed in several indie hacking success stories. - Source: dev.to / about 1 year ago
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