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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.
Medium
LeadGenRunnerMedium is recommended for avid readers seeking a variety of topics ranging from personal development to technology. It's also ideal for writers looking to publish their work to a broad audience and potentially earn revenue through the platform's Partner Program.
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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, Medium seems to be more popular. It has been mentiond 3094 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.
'If we all woke up tomorrow and thought 'we need 10 million new homes'' The cost of 1 Million homes where people want to live (where your community is), would be roughly 0.5 Trillion to 1 Trillion USD [1]. So, I don't think this is true :(. Again, I want this to be true. But it is not today. [1]: https://medium.com/@dtxtransitposts/how-much-does-it-actually-cost-to-build-housing-14e5fcf35208. - Source: Hacker News / about 4 hours ago
The letter misses out the key issue here. Should the worlds public knowledge be enclosed by a few powerful private companies or should it be available to all? The original vision for the web was a decentralized, open information sharing space designed to empower humanity. In my view the effort to privatise that via LLM distillation is the antithesis of that vision.... - Source: Hacker News / about 19 hours ago
Quantenna used 1.1.1.1 for RPC to their wifi chip in their SDK by default. Should not have been exposed to global routing but of course people screwed that up. https://medium.com/@mrtcve/atts-misuse-of-cloudflare-dns-ip-1-1-1-1-e64901e41a09. - Source: Hacker News / 4 days ago
It depends on how you define the observable pattern. The fundamental components here are laziness and weak connections between graph nodes. Node values are getting materialized only when you observe them, and the system is flexible for live structural changes. Usually, you don't need to materialize the entire graph when you need to observe just some nodes. Additionally, you can halt computations at any point in... - Source: Hacker News / 8 days ago
Supposedly 70% of software projects failed even before AI. So are AI projects better or worse than that? Also like people have asked about the 70% failure rate, how do you define failure/success. https://medium.com/@trienpont/why-do-over-70-of-software-projects-fail-deb4f48f18e6. - Source: Hacker News / 10 days ago
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