nick

[nick @nickwhynick]

@TommiPedruzzi Claude

[nick @nickwhynick]

@aryanXmahajan VAULT

[nick @nickwhynick]

@LoganTGott Prompts

[nick @nickwhynick]

@JulianGoldieSEO YES

[nick @nickwhynick]

@JulianGoldieSEO AgentOS

[nick @nickwhynick]

@AlfieJCarter PLAYBOOK

[Alfie Carter @AlfieJCarter]

We've been able to book calls from LinkedIn without pitching once in a connection request or first DM

Founders and sales leaders running this system are converting warm LinkedIn prospects to booked meetings without their outreach looking like anyone else's in the inbox

The system handles the reputation layer, the warming layer, and the conversion layer so by the time a message is sent the prospect already knows your name

Building a magnetic LinkedIn profile and content system that warms your audience before you send a single message, posting on a minimum viable rhythm that compounds over time without burning out, warming every target prospect through genuine engagement over 2 to 3 weeks until they move from cold to warm to hot, then sending a 4-message sequence from connection accepted to booked meeting where no calendar link appears before message 3 and no message could have been sent to anyone else

Each person running the full 8-playbook system books calls with people who reply as if they already wanted to hear from them

RT, follow + comment "PLAYBOOK" and I'll show you how we do it

[nick @nickwhynick]

@mikefutia REEDIT

[nick @nickwhynick]

@reachvaldo $

[nick @nickwhynick]

@CryptoPoseidonn Set target to 30k so rr is even better

[nick @nickwhynick]

@0xTDG Only 5 and no debt? You would need to change your nickname soon ;)

[nick @nickwhynick]

@aryanXmahajan RECON

[Aryan Mahajan @aryanXmahajan]

R.I.P. Fable 5.

Perplexity + Reddit + Opus 4.8 = AI SDR that still booked a $20B hedge fund.

(38% reply rate. 30 qualified meetings a month. 0 SDRs hired.)

This system reads 1,000+ companies every morning and only writes to the ones already in buying motion...

→ No more $200K/year SDR payroll for manual account research
→ No more 10,000 cold emails for a 1% reply
→ No more bought lists going stale in weeks
→ No more guessing who's actually ready to buy
→ No more openers that read like templates

Just 1 morning run → the 30 accounts worth calling today.

I built it around one rule: never depend on a single model to run.

Opus 4.8, GPT 5.5, Mythos, Fable 5 — there will always be a new LLM.

Today the US government proved why. The system didn't notice.

Here's how it works:

→ ICP Intelligence (Perplexity does a month of buyer research in 15 minutes)
→ Account Radar (reads 1,000+ companies every morning, keeps only the matches)
→ Buying Window (3 live triggers per account: a raise, a key hire, a launch)
→ Buyer Language (lifts your buyer's exact 5 phrases off Reddit, nothing reads like a template)
→ Voice Match (drafts a 3-line opener off that signal, in your voice)
→ Orchestration (Fable runs the whole pass and hands you the 30 to call today)

Built on real outbound infrastructure.
Model-agnostic. Runs every morning without supervision.
Government bans included.

Results from my own pipeline:
- Reply rate from 1% to 38%
- 30 qualified meetings a month, 0 SDRs hired
- A $20B hedge fund and a $15B fund booked
- $340K in new pipeline last quarter

Want the complete build?

Like + comment "RECON" + repost, and I'll DM it to you.
(must be following)

[nick @nickwhynick]

@NusratJaha07 Agent

[nick @nickwhynick]

@AlfieJCarter Agents

[nick @nickwhynick]

@AlfieJCarter OUTREACH

[nick @nickwhynick]

@jack_9947 @AlfieJCarter Agents

[nick @nickwhynick]

@AlfieJCarter Agents

[nick @nickwhynick]

@AlfieJCarter Agents

[nick @nickwhynick]

@AlfieJCarter SAAS