Naanoimage
Tuesday, 11pm. I'm scrolling LinkedIn for the fifth time that day, not for content — for a lead.
Someone, somewhere, just posted that they're hiring an SDR, or complaining about their outbound stack, or mentioned the exact problem my offer solves. I just have to find them before they scroll past me too.
I never find them in time.
By the time I see the post, comment on it, click into their profile, and go hunting for an email — the moment's gone. They've moved on. So have I, three hours of scrolling later, into bed, telling myself I'll "be faster tomorrow."
I wasn't faster. I just stopped doing it manually.
Turns out you can set a monitor to watch for your exact buying signals — keywords, job changes, the stuff that actually means someone's ready — and have it surface the person's verified email the second they post. No scrolling. No "did I miss it." The lead just shows up.
There's a free guide that walks through the whole setup — which signals are actually worth tracking, how to cut the noise with AI scoring, and how to wire it into an outreach flow that runs without you babysitting it.
(in partnership with Findymail)
Full setup linked in the first comment 👇
Naanoimage
Two months ago I was sending the same volume of messages and getting almost nothing back.
Then I stopped messaging cold lists altogether and built something that only reaches out to people already showing they're in-market — job changes, funding news, competitor engagement. Claude reads the context and writes the message. No templates, no scripts.
The difference wasn't subtle. I went from chasing replies all week to having a calendar full of calls I didn't have to fight for.
It runs on four layers:
→ Intent detection — flags who's actually ready, not who's just on a list
→ Claude as the brain — writes a unique message every time, based on real context
→ Workflow orchestration — connects everything, runs without me touching it
→ A simple local log — every interaction saved, no subscription, I own the data
The whole setup costs next to nothing to run compared to a tool stack or an SDR hire.
This is close to the exact system we lean on at Naano to keep demos booked without a dedicated SDR.
Wrote up the full architecture — the prompts, the workflows, how it all chains together.
(in partnership with Gojiberry AI)
Links in the first comment
Naanoimage
$1,129 down to $300. Same volume. Same replies.
Most outbound teams are running 5 separate vendors just to send cold email — inbox provider, data tool, enrichment, verification, sequencer.
Each one bills you separately. Each one takes its own cut. And reply rates keep falling anyway.
Average B2B reply rate went from 4.5% in 2020 to 1.1% in 2026. You're paying more every year for an input that performs worse every quarter.
The fix isn't a better sequencer. It's accepting that cold email infrastructure is now a commodity.
Buy the basics cheap. Put what you save into the things that still actually move the needle — warm callers, LinkedIn ads, lead magnets people actually want.
OutEngine bundles all 5 layers into one — inboxes, sequencer, data, enrichment, verification. $5–30 per 100 inboxes, everything else included. Same 5,000/day sending volume, a fraction of the spend.
(in partnership with outengine)
Resource is in the first comment
Naanoimage
Most of my warm leads still come from manually scrolling LinkedIn, hoping I catch the right post at the right time.
That's backwards.
Found a setup that flips it — a monitor that tracks LinkedIn posts in real time for specific keywords and surfaces the person's verified email the moment they post. The lead comes to you, already warm.
There's a free guide that breaks down the signal types, an AI scoring layer that filters out the noise, and how to wire the whole thing into an automated outreach flow.
(in partnership with Findymail)
Resource link is in the first comment 👇
Naanoimage
A few weeks back I nearly lost a deal over timing, not fit. I was still researching the prospect while they were already on the call.
That's when I stopped running outbound solo — one person, one inbox, gut-feel qualifying — and split the job across three agents in Claude instead.
One researches. One qualifies. One preps the close.
→ Research Agent — pulls company intel, pain points, and the angle to open with, before I even open LinkedIn
→ Qualification Agent — scores fit and intent, tells me what's actually worth my time
→ Closing Agent — has the meeting prepped and follow-up written before the call even starts
Chained together with Gojiberry, it's basically running the workflow I used to do alone.
The part that changed things the most wasn't the research agent — it was the third one. I get into why in the doc.
(in partnership with Gojiberry AI)
Resources in the first comment :)
