The warmest “cold” lead is someone who just reacted to a post about your topic - or asked “any tool recommendations?” in a chat. They’re already thinking about the problem you solve. The only question is whether you’ll see that signal - and reply before anyone else does. Here are three ways to catch these signals on LinkedIn, Telegram, and Reddit.
Signal vs. Label
Classic cold outreach runs on labels: job title, industry, company size. It works - but you’re writing to people whose needs you can only guess at.
A signal is different. A like under a competitor’s post. A comment under a breakdown of a painful topic. A “has anyone tried X?” message in a Telegram chat. A “looking for an alternative” thread on Reddit. The person has shown, on their own, that the problem is live for them - right now.
The numbers back it up: warm outreach based on shared interactions gets twice the reply rate of classic cold scraping. And replying to someone who posted about their need themselves converts ~4x better than any cold message. You’re not a stranger guessing. You’re the one who answered at the exact moment they were looking.
Here are 3 ways to collect these signals systematically.
Option 1: Reactions to LinkedIn Posts
Every post in your niche - yours, a competitor’s, or an industry influencer’s - gathers an audience with a live interest in the topic. Liked a post about lead gen? Commented on a competitor’s product update? These people are already in context, and the first message writes itself: “Saw you engaged with that post about [topic]...”
In Grinfi, this is covered by the Post Engagement feature: paste the URL of any LinkedIn post, pick the interaction type (likes, comments, reposts) - and everyone who reacted lands in your CRM. With Repeat Import Period enabled, the list keeps refilling for as long as the post keeps collecting reactions.
For a step-by-step setup and the scenarios where this works best (competitors, influencers, events) - we covered it separately in this article:
Option 2: Requests in Telegram Chats
The most direct signal of all: a person writes about their need themselves. In Telegram chats this happens every day: “any tool recommendations?”, “has anyone tried X?”, “looking for an agency”. The competition for this attention is far lower than on LinkedIn, and the intent is higher.
There’s just one problem: catching these requests manually is impossible. Twenty chats, hundreds of messages a day - the ones that matter drown in the stream. And the thread where someone might have recommended you lives for a few hours.
Telegrin - an AI agent built by the Grinfi team - handles it like this:
- Monitors the group chats you’re already in: public, private, channel comment sections
- AI reads the messages and flags only those with a real request for your product - the signal arrives in under a minute
- You reply straight from the app, from any connected account. In Autopilot mode, AI replies on its own, on your behalf; in Copilot mode, it waits for your approval on every reply
The mirror mechanic works too: publish a post in a chat or channel, and Telegrin tracks who reacted, replied, or quoted it - then collects those people into warm leads tied to the source post.
And all of it without risking the account: Telegrin connects as a second device, keeps a limit of 40 outgoing messages per day, and adds random pauses between sends.
Option 3: Intent Posts on LinkedIn and Reddit
People post the same requests outside of chats too. “What CRM would you recommend for a 10-person team” on Reddit. “Looking for an alternative to X” as a LinkedIn post. A single thread like that holds more buying signals than a month of cold scraping - and most B2B companies ignore these channels entirely.
Telegrin finds these posts by your keywords on LinkedIn and Reddit - and for every match, AI drafts a relevant comment. You post it yourself, from your own account.
Two things make this option especially interesting:
- Your accounts never get connected. The search runs on Telegrin’s side - zero risk of bans or limits for your profiles.
- A comment keeps working long after you post it. Reddit threads rank on Google and get cited by AI search - one useful reply in the right thread keeps bringing people in for months.
Speed is critical here: threads lose visibility within 12-24 hours, and the first relevant reply usually takes the deal. That’s why monitoring has to run constantly - not “whenever there’s time to scroll”.
How It All Comes Together
The three options complement each other - each opens a different door to the same audience:
- Reactions to LinkedIn posts → Post Engagement in Grinfi → segment → sequence
- Requests in Telegram → Telegrin → a reply in the moment (Autopilot or manual)
- Intent posts on LinkedIn and Reddit → Telegrin → comment + lead
And the leads Telegrin finds on LinkedIn transfer to your Grinfi account in one click - your usual automation takes it from there. The transfer is free.
Grinfi tip: don’t just collect contacts - segment them. Tag every lead with the post, chat, or keyword it came from, so your sequences stay hyper-personalized. A lead from a “looking for an alternative to X” thread and a lead who liked a post about lead gen are two different first messages.
Want to Turn Social Activity into Pipeline?
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