ℙ𝕙𝕚𝕝𝕚𝕡𝕡
368 posts

ℙ𝕙𝕚𝕝𝕚𝕡𝕡
@Philipp_Beer
The revolution will not be centralised | @w3_wave liquid fund
Substrate Katılım Ekim 2011
3.7K Takip Edilen578 Takipçiler

I've overseen go-to-market strategy for 200+ B2B companies.
A majority of them were leaving millions in pipeline on the table....
By relying on 2-3 disconnected acquisition channels with no system tying them together.
I mapped out the exact flywheel we use to cover every stage from traffic generation to retention.
Comment "flywheel" and I'll DM it to you.
(Must be following)
English

Anthropic ran their entire marketing operation with one person.
$380 billion company.
Paid search. Paid social. SEO. Email. App stores.
One non-technical hire doing all of it — for 10 months.
I pulled it apart.
Compared it to every system we've built across the clients we've worked with.
Then asked myself one question:
If I had to reverse engineer this from scratch — what would it actually look like?
Turns out the architecture isn't that complicated.
I mapped the whole thing into a 47-page PDF you can upload directly to any LLM.
It coaches you through building your own version step by step.
Comment "marketing" and I'll send it over.

English

Most GTM engineers use Claude Code like a chatbot.
So I documented the most complete Claude Code build system for GTM you can use today.
Inside:
→ Why Claude Code now and how the agentic market shift changes GTM builds
→ The WAT framework - workflows, agent, tools - and how to structure every build
→ Claude. md self-improvement loop so every correction becomes permanent
→ Deploying automations with Modal and Trigger.dev running 24/7 without you
→ Agent teams and scheduled tasks for parallel GTM execution
→ Tokens and context windows so your sessions stay sharp across long builds
→ RAG for GTM projects so your knowledge base scales beyond context limits
→ Turning n8n workflows into live apps directly from Claude Code
→ APIs and MCPs connecting Claude Code to Clay, ClickUp, Slack, and your full stack
→ Sub-agents for research, enrichment, and outreach in isolated contexts
→ Browser automation for LinkedIn and web-based GTM workflows
→ GitHub and worktrees for parallel builds with zero conflicts
If you build GTM automation, manage outbound infrastructure, or want to run n8n without the technical overhead - this is the only Claude Code playbook you will need.
Like + Comment CLAUDE
Follow me so I can DM it to you.
English

claude code can automate your ENTIRE cold outreach system & book you 30-40+ calls MONTHLY
but most of you don't even know how to set it up properly
so i'm giving away a detailed 54-page doc on EXACTLY this
like + comment “CLAUDE” and i'll send it over asap
(must follow + RT for priority access)
English

I created a free resource to build a full Claude Code GTM infrastructure for 2026 that runs automation on autopilot.
I've spent the last year testing what actually works across every Claude Code use case for GTM engineers.
✓ Sub-agents running research, enrichment, and outreach in parallel
✓ Turning n8n workflows into live deployed apps from inside Claude Code
✓ MCPs connecting Claude Code directly to Clay, ClickUp, Slack, and your full stack
✓ CLAUDE.md self-improvement loops that make every correction permanent
✓ A full deployment system on Modal and Trigger.dev running 24/7 without you
And I finally turned it all into a step-by-step playbook you can steal.
This is how GTM engineers are building infrastructure in 2026 - without manual node building, without broken workflows, and without duct-taping tools together.
And we're giving away the full playbook for free.
Here's what's inside:
✅ The WAT Framework
How to structure every Claude Code build with workflows, agent, and tools so nothing breaks when complexity scales.
✅ CLAUDE. md Self-Improvement Loop
How to make every correction permanent institutional knowledge so the agent gets smarter every single session.
✅ MCP Stack for GTM
How to connect Clay, ClickUp, Slack, and Amplitude so Claude Code reads, writes, and acts inside your actual tools without tab switching.
✅ Sub-agents and Agent Teams
How to run parallel research, enrichment, and outreach tasks in isolated contexts so your main session stays clean.
✅ Deployment with Modal and Trigger. dev
How to push workflows to production so they run on schedule 24/7 without you triggering anything.
This is the same system used to:
→ Build n8n workflows from plain English descriptions without touching a single node manually
→ Deploy signal monitoring automations running every Monday at 6am without intervention
→ Connect Clay and ClickUp so prospect scoring and task creation happen in one session
→ Run five parallel sequence variant builds simultaneously with zero conflicts using worktrees
→ Turn browser automation into live LinkedIn workflows that run without manual input
All without manual builds. All mapped out. All free.
Want the full Claude Code GTM Engineer's Playbook?
Reply CLAUDE and I'll DM it to you.
Follow me so I can dm you.

English

We built 12 Claude Skill files that run our entire GTM operation inside Clay (and I'm giving it all away)
Prompts give you generic output. These skill files on the other hand are built from hundreds of Clay tables across 80+ B2B clients at $7M ARR.
Each one does a specific job:
→ Company Research Agent
→ Personalization Writer
→ ICP Scorer
→ LinkedIn Profile Analyzer
→ Data Cleaner & Normalizer
→ Objection Handler
→ Email Sequence Writer
→ Competitor Analyzer
→ Job Posting Analyzer
→ Technographic Qualifier
→ News & Signal Synthesizer
→ Account Brief Generator
How it works: drop it into Clay → map your columns → run.
No prompt engineering. No switching tools. Just output.
Giving the full pack away free. Reply "SKILLS" and I'll send it.

English

Fully open source. Runs in the browser. Bring your own Anthropic API key... nothing stored server-side.
We also ship an MCP server, so Claude Code, or any MCP-compatible agent can query the graph and consult the Oracle directly.
→ framewerk.dev/docs
→ github.com/depose28/frame…
English

We also built the Oracle for anyone sitting with a hard decision.
Describe your situation. Fire it through the network. It runs a two-pass analysis across all 700 models and returns which frameworks are relevant, which ones challenge your direction, and a pointed question for each one to sit with.
English

Shoutout to @TheiaResearch for open-sourcing their list of 700 mental models.
At w3.wave we build agentic AI systems into our investment process, and we were using these frameworks internally but treating them as a flat list. The interesting question is how they actually relate to each other.
So we mapped and visualized it → framewerk.dev 🧵
English

Growing on LinkedIn is simpler than you think.
In 12 months, @dan__rosenthal and I generated 10,000,000+ LinkedIn impressions.
(75% of our pipeline comes directly from LinkedIn)
This is the singular reason LinkedIn is crushing for us right now:
We treat it like a system.
7 things specifically make up this system:
• Conversion
• Audience building
• Contact Capture
• Audience warming
• Top-of-funnel content (70%)
• Middle-of-funnel content (20%)
• Contact Capturecontent (10%)
And after lots of trial and error, we built this Notion system to:
1. Get ideas down quickly
2. Develop them systematically
3. Collaborate with the design team
It includes our framework on how to plan a LinkedIn content strategy:
• Content Types
• Content Pillars
• Content Formats
• Content Calendar
Plus a post creation template with our own custom embedded LinkedIn previewer.
Today, I’m giving the entire thing away for free
Want it?
Comment "NOTION"
And I'll send over our template.
English

That 60% stat is the unlock.
Built getrefound.ai after scanning hundreds of pages: great content, broken data layer (schema, identity, checkout).
AI checks your data before citing your content. If it fails, your answer-first pages never surface.
Kipp's right... but data trust matters as much as content structure.
Content + data trust = edge
English

I thought AEO (read: SEO for LLMs) was a hunk of bullsh*t.
And then i spoke to @kippbodnar, CMO of @HubSpot, who knocked the skepticism out of me.
His first jab: In one year, they grew AI search traffic by 15x. It went from rounding error to real line item on the P&L.
His second jab: AI search conversion rates are 5x higher than Google search. On some queries, 13x higher.
His hook: 60% of AI citations don't come from the top 20 Google results. The companies dominating Google aren't automatically winning in AI search, which creates a huge advantage for early adopters.
He then took me through his process for crushing AEO & seeing results in days, not months (like SEO):
1) Grade: your current AEO presence across ChatGPT, Perplexity, and Gemini with a tool like Hubspot's AEO grader.
2) Restructure: your content into chunked, answer-first pages with natural language headers.
- one consolidated page, not 8-10 interlinked pages
- lead with natural language questions like "What is X?"
- 1-2 paragraph sections, not 1,000 word sections
- table of contents on a single page
3) Separate: Mentions from citations and optimize differently for each
- Mention = when AI references your brand or product in its answer but doesn't link to you
- Citation = when an AI references you AND links to your page
4) Open up: your information — ungate content, build Reddit presence, make pricing public
- Optimize for entity understanding: how well do AI models understand what your company does, based on every signal from Reddit to review sites, awards lists to help docs
5) Tool up: with AEO-specific software to track prompts and share of voice
- Check out Xfunnel or Limey[.]ai
6) Rethink attribution: measure source of customers, not source of traffic.
- Metrics that matter: share of voice, citation count, sentiment, mention frequency, source of customers not traffic
English
ℙ𝕙𝕚𝕝𝕚𝕡𝕡 retweetledi

@TheCorgiCompany is coming out of stealth with $108M raised to build the future of financial infrastructure.
A lot of the GDP flows through highly regulated financial entities that haven't been meaningfully changed in decades.
To fix this, we're starting in insurance.
English

non event for ethena but another big loss for germany
bafin is famous for destroying local success fintechs
n26 was our german unicorn tech success story in a tight race against revolut to win the neobank wars
they punished them with a 1-year user sign up freeze + heavy compliance burden
same for solarisbank (german version of plaid)
so shortstighted
José Maria Macedo@ZeMariaMacedo
Europe once again doing its best to alienate entrepreneurs Ethena is one of the most successful and important European crypto projects. Not only did BaFin turn down their MiCA application, they published an inflammatory and inaccurate press release that could only be designed to needlessly incite panic If this is the treatment given to projects seeking to comply with EU regulations, I will be seriously reconsidering whether to recommend any of our 150+ portfolio companies pursue MiCA registration. Especially when the US is going the complete other way and becoming a haven for crypto projects
English

@Flowslikeosmo Not selling. But this is the reason: x.com/swarms_corp
English



