Atishay

$60M+ b2b pipeline for clients sending 7M cold emails/mo. Top 1% on smartlead

[Atishay @atishayhyperke]

The EXACT script that got a positive response from a $1B+ company - Blue Origin

(Bezos’ Space Travel company 🚀)

In just ONE week of outreach

[THREAD]

[Atishay @atishayhyperke]

After sending 50,000,000+ cold emails and generating $12M with outbound...

I’m giving away EVERY resource we’ve ever built, in one folder.

What is inside, every asset in the folder:

1) The playbooks: 87-Lessons From 30M+ Sends, the 4-Tier Scaling Playbook from 100 to 100,000 a day, the SMB List Building Playbook, the GTM Engineer Field Manual, and the $10B Call Booking Blueprint.
2) The list and data engine: the Net-New Email Engine, the Proprietary Database Playbook, the TAM Segmentation Cheat-Sheet, the 17 Intent Signals, and the Cold Email Flywheel.
3) The Claude Code stack: 5 Claude Code Workflows, Replace Your Tool Stack With Claude Code, the Fable 5 Self-Optimizing System, the $1M autonomous cold email system, and the Claude skills toolkit.
4) Offer and show-up: the Cold Email Offer Templates and the 10-Step Show-Up Rate System.
5) Deliverability: the Cold Email Deliverability Guard.
6) The proof: 6 lessons from sending 2.6M cold emails in 14 days.

That is 19 resources, every system behind $60M+ in pipeline and 50M+ cold emails, in one place.

PS. I have never gathered all of it into one folder until now, and it is yours free.

[Atishay @atishayhyperke]

We send 7,000,000+ cold emails/mo, and our best-closing leads come from a 10M+ contact database that money cannot buy (I’ll show you how to access it, free)

Most cold email senders:

• pull a list
• send
• a handful of replies land
•nothing gets saved

What the VAST majority (even the best of the best in the space) don’t realize, is the abundance of data / learnings underneath all those replies that you can use to your advantage later on.

And because of that:

Everything you COULD have learned... gets tossed.

Things like:

1. auto-reply naming a colleague to talk to instead
2. the person telling you they moved teams.
3. signature blocks with a direct dial on it.
4. hard bounces marking a dead address.

Almost everyone deletes every bit of that…

So a month later they need leads again and go re-buy the same tired Apollo export the whole market already burned through.

Yet…each of those replies is first-party data a REAL person handed over, for free.

Which is exactly how we reach buyers who show up in no Apollo or ZoomInfo pull.

I mapped the exact loop that turns those replies into a database that grows on its own, and I’m giving it away for free.

What is inside:

• the 4 stages, send, capture, mine, and grow, laid out so you can spot exactly where your setup is leaking data today
• 4 kinds of reply worth keeping at volume
• an extraction prompt that lifts every name, work email, direct number, and profile link from one reply
• the pattern-guessing step that lets you mail a catch-all address without torching your bounce number
• why a bought list rots from the day of purchase, and what a database you built yourself is really worth
• the send-volume floor that tells you whether you are big enough yet for the loop to pay off

[Atishay @atishayhyperke]

There are 17 cold email intent signals worth running in 2026....

(these have booked us 30,000+ meetings)

Yet most senders only know 3.

Almost nobody looks past the obvious ones, which is exactly where the cheap leads sit.

So I pulled the 17 plays we run across 7M+ cold emails a month, each mapped to the exact tool that surfaces it, into one playbook.

What’s inside:

1) All 17 intent signals, split into 10 market-discovery plays and 7 account-monitoring plays
2) The exact tool behind each signal
3) The copy angle to run the moment each signal fires, so the email references the trigger instead of guessing
4) Why a signal-based list runs a PCPL near 200 while a cold list sits above 500
5) The account-monitoring setup that flags a target is in-market before your competitors notice
6) Which 2 or 3 signals to build first if that is all you have time for

[Atishay @atishayhyperke]

@max_bevza 100%

[Atishay @atishayhyperke]

If there’s ONE rule that’s helped us book over 30,000+ meetings in the last few years at my agency, it’d be this 👇

We reply to interested leads in under 60 seconds.

A positive reply only opens a ~60-second window, and that window is where a VAST majority of the money in cold email is made.

The moment an interested reply lands, we run one framework we call AAA.

(stole this straight from Hormozi)

ACKNOWLEDGE.
• Take their concern seriously.
• If they ask whether you have experience in their sector, you say plainly that you work across sectors and how you approach it.

ASSOCIATE
• Tie their question to your closest proof.
• Name the logo or result nearest to their industry so the answer lands with authority.

ASK.
• Ask for the call.
• Manually propose 2 time slots from your calendar.
• Only send a booking link if that fails.

Also...

Reply inside a minute and one more thing happens:

After that first reply, you land in their inbox in 99% of cases. Every follow-up you send after that gets seen (meaning you won’t get filtered into spam).

The ones who do not book go into a subsequence, 8 to 12 emails over 3 weeks, each one giving a new reason to talk, from humor to case studies to objection handling.

TL;DR:

MOVE FASTER.

[Atishay @atishayhyperke]

After throwing out Apollo, we got 4x the positive reply rate on the same offer

(giving away our FULL list building process, free)

For context, we were reaching out to dentists for a client.

Instead of using Apollo's industry filter, we found the American Association of Clear Aligners directory and scraped it.

The list is the variable most never think to touch... and for us, it’s the one that literally made this campaign so successful.

And anyone can do this to instantly see a bump in their own positive reply rates.

So I wrote up the exact 5-step method as The SMB List Building Playbook.

What is inside:

1) Claude/Codex prompts to help you out where your ICP actually wants to be found, the directory, association, or portal their own customer uses to find them
2) Scrape it with a free Chrome extension, Claude Code or Codex /goal, since most directories hand you the company name and little else
3) Filter the bad fits with a ClayAgent classifier column, so a messy 5,000-row scrape becomes 3,000 real fits
4) Enrich with company data, on-site customer feedback, SEMrush traffic, and Google Ads activity as a buying-intent signal
5) Find contacts with waterfall enrichment across 3 tools, Trykitt, LeadMagic, and Prospeo, and include generic addresses where no named contact exists
6) The personalization line the directory unlocks: "I found you on the Clear Aligners Association website..." which no Apollo export can match

One different list source, 4x the positive reply rate, same everything else.

PS. This is the exact list-building process behind $60M+ in pipeline for our clients.

[Atishay @atishayhyperke]

And after sending 50M+ cold emails in the last 5 years...

We saw the leads that performed BEST had addresses no database

In fact

Addresses pulling the MOST replies on our local campaigns are the ones everybody DELETES:

info@ and contact@.

You would be surprised how many responses come out of those inboxes (security businesses, property managers, local service companies).

In a LOT of those verticals they pull more replies than the named contact you would pay an enrichment provider to find.

The whole email-finding system is written up.

It's yours.

Everything in the write-up, end to end:

1) The sourcing step: pulling accounts from niche directories and industry forums instead of another Apollo export
2) How to mine an out-of-office reply or an autoresponder signature for phone numbers, titles and alternate contacts
3) The name-scrape plus permutation build that turns a bare domain into working addresses
4) The 3 verification layers we stack: Mail Tester Ninja, then Mail Verifier, then Bounce Ban for the catch-alls
5) Where Blitz API fits, and what it returns from a LinkedIn URL
6) The honest economics: when permutation costs you more per valid email than paying 10 to 15 cents to buy it
7) The freshness problem: the big providers scrape LinkedIn on a 3 to 4 month lag, so a chunk of what you export is stale before you hit send

What decides the whole thing sits upstream of the tools.

You're better off splitting any list two ways:

People who are on LinkedIn, and people who aren't.

The first group you can buy.

The second group you build (scrape Google Maps, take the business domains that come back, then use those domains to find the emails).

Once you have a domain, the ENTIRE job is finding the person behind it.

[Atishay @atishayhyperke]

@Andre2423d https://t.co/m2aALNhOqr here

[Atishay @atishayhyperke]

These exact offer templates have generated $12,000,000+ for my clients.

(copy / paste templates for your next campaign, free)

It still surprises me how much cold email advice online fixates on subject lines and sequence length.

Outside of social proof...

Offer quality is the #1 driver in outbound. It beats any crazy signal / AI personalization.

So I distilled the 5 offer types I run across 7M+ cold emails a month into one generator.

What is inside:

1) All 5 offer types, Insight, Framework, Audit, Template, and Call, each with its own formula and worked hooks

2) The selection matrix that pins the right offer to a prospect's awareness level in under a minute

3) The 50-prospect reply test for proving a new offer holds up before you put volume behind it

4) The 5 most common ways an offer gets killed, ranked by how often I run into each

5) A brainstorm sheet you fill in to build any of the 5 types from a blank page

6) COPY-PASTE hooks for SEO agencies, ecom DTC brands, B2B SaaS, and healthcare

PS - if you have A/B tested subject lines for 3 months and positive reply rate has not changed, start with the offer instead.

[Atishay @atishayhyperke]

@karlo_safran here https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@RissikMatthew https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@ghumowithabhi here https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@jaylaine74 check it: https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@AdrakaKinami here https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@Aii_in_edu https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@Aii_in_edu got ya https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@Tim_Adamitz https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@kvngjers here https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@imanexplorer https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@GhilesMSSOUI here https://t.co/m2aALNhOqr

[Atishay @atishayhyperke]

@Vinayak_M11 check it: https://t.co/m2aALNhOqr