Philip Han
1.3K posts

Philip Han
@PhilipZFHan
NYC | Sales at DISCO Gen AI Legal Tech NYSE: LAW
New York Hong Kong Katılım Ocak 2009
6.1K Takip Edilen431 Takipçiler

cold outbound is dead
the version that's dead: spray, pray, 7-step sequences, generic personalisation
the version that prints $25M of pipeline a year for our clients: 100% TAM coverage, 45-day cycle, 5-minute reply window
we wrote the full motion playbook
like + comment 'MOTION' and i'll DM you. (must be following)
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Philip Han retweetledi

This is the the quote I've been citing a lot recently.
kache@yacineMTB
you can outsource your thinking but you cannot outsource your understanding
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Philip Han retweetledi

best performing cold email template i've used?
PPQ.
P (Problem): their specific pain, in their words. what's keeping them up at night.
P (Proof): a quick line of social proof matched to their industry. something like "helped a DTC brand increase sales 28% in 60 days" placed right before the CTA as a casual mention.
Q (Question): a soft CTA that's easy to say yes to. "would it be crazy to hop on a quick call?" or "is this worth exploring?"
bookmark this.
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Philip Han retweetledi

people really want the law to be available by API. historical, current, up to date. published cases, unpublished cases. citable.
ROSS@ROSSIntel
Going to leave this here: “There are no APIs for public law and no downloadable files to obtain large collections of the public law.”
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Philip Han retweetledi

I have an MCP endpoint.
Add it to Claude, Cursor, or any AI agent. They get 22.4M legal documents across 186 jurisdictions as retrieval context.
Statutes & cases are right there. No hallucination required.
legaldatahunter.com #legaltech
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Philip Han retweetledi

I open sourced everything about how I'm doing it. You can try it. It's free.
If it works for you great. If it doesn't work for you, tell me what went wrong and I'll give you a money back guarantee. :-)
github.com/garrytan/gstack
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Philip Han retweetledi

we hired a new growth engineer and this is how I instantly knew he was a good hire:
finding low-hanging fruits fast and fixing them
just 2 days after joining, he built a Claude skill called pre-call-research
all you do is connect Claude to Google Calendar, the Crustdata MCP and Slack
before every call it automatically:
- looks at who's attending
- pulls the company's page + domain data
- checks the inbound booking context
- fetches enriched real-time profiles of each attendee via Crustdata
- creates a full brief: company snapshot, talking points, prospect assessment
you can also schedule it:
"every morning at 8am, run pre-call research on all my calls for the day and DM me the briefs"
if you join a new company, find those low-hanging fruits as fast as possible and fix them
one of the best impressions you can leave
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Philip Han retweetledi

I talk to delusional Series A founders every day. So now, I just tell them this.
If your company does under $10M ARR, burns over $200k/mo, and has low Gross Retention…you are not worth $50-100M to anyone.
Doesn't matter what your investors or your bankers tell you.
Dirk Sahlmer from FE International has done nearly 6 years in SaaS M&A and hundreds of valuation conversations.
He calls it Schrödinger's valuation, and he's right.
Check it out and start recognizing what game you’re actually playing.
Don’t waste the next 10 years chasing a fantasy.


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most teams are watching the wrong signals.
job change: everyone sees it. everyone emails at the same time.
funding round: same. 50 cold emails hit the new VP's inbox in 48 hours.
intent data: the most expensive way to fight over the same 3%.
the signals that actually predict a buying window are less obvious.
they're the ones nobody's automating yet.
i mapped 11 buying signals that consistently precede a decision, most of which are public but underused.
-> headcount growth above 15% in 90 days
-> shift from one job function to another in hiring patterns
-> new c-suite hire outside the core business (often means restructure is coming)
-> plus 8 more, each with the outreach trigger that goes with it
like + comment 'SIGNALS' and i'll DM you. (must be following)
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Philip Han retweetledi
Philip Han retweetledi
Philip Han retweetledi
Philip Han retweetledi

The Loom playbook I’ve been building for 37 days is done.
Built from hundreds of real outreach scenarios.
Not theory. Not recycled scripts.
If you’re sending 60-90 second Looms and wondering why they get ignored...
This is why.
Most people record pitches.
Top agencies create videos to what the leads already cares about that week.
I turned the whole system into one resource.
6 modules. Pure execution.
Here’s what’s inside:
- Target account scoring system
Score value potential + win likelihood (1-5) before you record.
- 3-layer topic discovery
Trigger → workflow → proof.
Every video tied to their reality.
- 6 proven outreach angles
Competitor intel
Workflow breakdown
Opportunity analysis
Case study
Market insight
Quick win
- 4-part video structure
Hook → Show → Value → Soft CTA
All within 60–90 seconds.
- 3 LinkedIn message frameworks
Cold
Warm
Post-connection
Exact wording.
This is the structure I use to stop Looms from sounding like SDR pitches
and start turning them into booked meetings.
It’s free.
If you want it:
Like this
Follow me
Reply “LOOM”
I’ll DM it.
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Philip Han retweetledi

i studied 847 positive cold email replies.
31% never became meetings.
here's why:
reply speed
average response time across teams: 4.2 hours
teams converting at 80%+: under 23 minutes
delay past 2 hours and show rate drops by half
the wrong first question
"are you free for a call?" converts at 34%
"what's your biggest challenge with X?" converts at 71%
asking for the calendar before establishing value kills it
reply length
best-converting replies: 3 lines
acknowledge, add insight, soft CTA
not 8 paragraphs of company background
no follow-up
61% of reps send one chase if no response
teams at 85%+ conversion: 3 follow-ups, 48h apart
"they replied" doesn't mean they're still hot. they're not.
put together 12 templates for every positive reply type - from "interested, tell me more" to "can you send pricing"
comment "REPLY" and i'll send it over.
(must be following - RT for early access)
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One B2B founder went from random posts to 30+ calls per month.
(Here's the exact system we used)
Most B2B founders post on LinkedIn but struggle to turn content into ROI.
Their tone doesn't match buyer expectations. They post twice a week. And prospects still show up cold to calls.
That's exactly where our client was when we started working together.
We rebuilt their entire LinkedIn presence from the ground up:
→ Audited their existing content and shifted her tone to match high-level buyers
→ Cloned their voice so every post sounded authentically like them (without them writing anything)
→ Turned their expertise into authority-driven messaging that pre-sold prospects
→ Built a daily posting system that removed writing from their schedule completely
→ Created content that made them the obvious choice before calls even started
This resulted in prospects beginning to quote the content back to them on sales calls.
Their authority built so fast that closing became easier than ever.
Because by the time someone booked a call, they already trusted my client completely.
Final numbers:
→ 6,000+ followers
→ 150+ calls booked
→ $200,000+ in cash collected
I've documented the full 8-step process we used to turn her into a LinkedIn authority on autopilot with content.
Want the full breakdown?
1. Follow me
2. Comment "YES"
And I’ll send it soon!

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Philip Han retweetledi
Philip Han retweetledi






