Nate Herkelman's LinkedIn Strategy, Scale Without…

How to Actually Deliver n8n AI Projects to Clients This is one of the most common questions I get, and it can definitely feel confusing. In fact, I've tried tons of different methods, but I just dr…

647695935 viral

AI10 months ago

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Claude Code builds better n8n workflows than I do. Claude Code has been exploding lately, and I've finally started getting my hands dirty. Before creating content on it, I wanted to answer one quest…

684844334 viral

AI9 months ago

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How to Build ANYTHING with Claude Code and n8n When you supercharge Claude Code with n8n knowledge, you can turn any existing n8n workflow into a usable web app in under 30 minutes. Here’s what make…

652583429 viral

AI Development9 months ago

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I uploaded 29 YouTube videos in the past 28 days. 4.1M views. 280K watch hours. 68K new subscribers. And I even took a full week off. My community is asking me things like "Do you ever sleep?" and "…

LinkedIn post image: I uploaded 29 YouTube videos in the past 28 days.

36472526 viral

6 months ago

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Google's New Tool Just Solved a Major Claude Code Problem If you've ever tried to get Claude Code to create a Google Doc, you know the pain. It uses the API, and you end up with something that looks…

517443822 viral

AI Developer Tools7 months ago

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All of Claude Code Just Leaked… Here's How to Become a Top 1% User Anthropic accidentally published an NPM package with a source map pointing to the full Claude Code codebase. A security researcher…

432524421 viral

7 months ago

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Topics & Content Focus

Primary Topics

Claude Code power-user operations (context, tokens, slash commands, CLAUDE.md as an operating manual)AI developer workflow engineering (agent runtimes, permissions, multi-agent coordination, tool orchestration)Benchmarks and tool-combo strategy (Claude + Codex complementarity, adversarial review, practical evals)

Secondary Themes

AI product/news reconnaissance (leaks, hidden features, feature flags, under-the-hood mechanics)Creator productivity as a systems problem (consistency, team leverage, sustainable output)Playful AI culture moments (April Fools-style features as community fuel)

Industry Focus

AI developer tooling (LLM coding agents, terminal-based assistants, MCP ecosystem)Creator-led technical education (YouTube-first distribution for developer audiences)Applied AI for software engineering teams (workflow optimization, cost/control, quality assurance)

Content Categories

Tactical tutorials and playbooksBreaking news / reverse-engineering explainersBenchmark experiments and tool comparisonsSystems thinking for AI workflows (operating environments, guardrails, permissions)Behind-the-scenes creator narrative (motivation, output, team)

Performance Insights

329.1%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Claude Code internals / leaked architecture insightsPractical cost-control and context management (token mechanics, context hygiene)Tool comparison with real tests (Claude vs Codex, adversarial review)

Virality Signals

Shareable 'insider' framing (leak, accidental publish, mirrored codebase)High-signal lists (slash commands, tiers, hacks) that readers forward to teamsStrong novelty delta (something new/unexpected in a familiar tool)Clear economic lever (tokens/cost limits) that creates urgencyBenchmark narrative (head-to-head test, bug found, measurable outcomes)

Structure & Quality

320

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.86/10

Uniqueness Score

Common Hooks

Credibility-by-contrast hook ("Most people think X, but it's actually Y")Breaking/insider hook (leaks, accidental releases, hidden mechanics)Specific-number promise (tiers, hacks, minutes, percentages, benchmarks)Novelty/curiosity hook (weird feature discovery that begs explanation)Outcome flex with constraints (big results + "and I took time off")

Common Endings

One-line "Key takeaway" reframing the reader's mental modelDirect CTA to a longer YouTube breakdown ("Link in the comments")Actionable principle stated as a rule (design the environment > write better prompts)Postscript that adds operational credibility (team leverage, constraints, context)

Value Delivery Methods

Actionable operational guidance (what to do today, not just theory)Mechanism-level explanations (why limits happen, how context compounds)System design framing (environment/architecture > prompts)Tool selection heuristics (right model for the job, complementary agents)

Formatting Style

Short paragraphs for momentum and scanabilityArrow bullets (→) to create a 'playbook' feelNumbered lists for authority and memorabilityTiering (Tier 1/2/3) to signal progression and masteryInline command syntax (/plan, /compact, /context) for developer-native clarity

Audience & Tone

YES

Question Usage

0.25%

Response Rate

Detected Tone

Smart-casual technical authorityHacker-journalist meets educator (breaking discovery + clear teaching)Systems thinker (operating environment, leverage points, constraints)Energetic and optimistic, with selective humility (team credit, learning stance)semi-formalfirst-person

Interaction Style

Teachable authority (explainer who also experiments)Community-insider tone ("here's what I found")Practical peer-to-peer energy (commands, settings, workflow swaps)Debate-friendly positioning (OR vs AND, model choice, workflow philosophy)

Community Building Signals

Builds a shared identity around 'top 1% user' behavior and systems thinkingRuns a consistent cross-platform loop (LinkedIn teaser → YouTube deep dive)Invites ongoing experimentation by giving repeatable methods (tiers, commands, audits)Humanizes output with behind-the-scenes context (time off, team support)

Writing Style Patterns

Content Strategy

Hook: Credibility-by-contrast hook ("Most people think X, but it'sTone: semi-formalCTA: Soft funnel to YouTube (teaser summary → link in c

Writing style breakdown

Claude Code Just Solved the 'Context Window' Problem for Good

Anthropic just released a native integration for 'Context Pruning' within Claude Code, and it changes how we handle massive repositories.

Here's why this is a game changer

→ Most agents get 'lost' once a project hits 50+ files

→ Claude now identifies which files are 'stale' and removes them from the active window

→ You save 40% on API costs while increasing accuracy

I ran a stress test on a legacy codebase with 1,200 files. Usually, Claude would hallucinate or hit a limit within five minutes.

This time, it mapped the dependencies first. It 'pruned' the CSS and asset folders it didn't need. It focused only on the logic.

The result: a full refactor of the auth flow in one single pass. No errors. No 'context full' warnings.

I just dropped a 12 minute YouTube video walking through the benchmark results, the setup command, and a live refactor.

Here's the thing: most people think more context is always better. It's not. Better context is better.

To enable it today

1️⃣ Update to the latest version: npm install -g @anthropic-ai/claude-code

2️⃣ Run the new prune command: /context-prune --smart

3️⃣ Watch the sub-agent categorize your files in real-time

A few things to know

→ It currently favors TypeScript and Python files

→ You can 'pin' specific files so they never get pruned

→ It works best when paired with the new Memory 2.0 features

Key takeaway: Stop trying to feed the AI everything. Start using tools that know what to ignore.

Link to the full video is in the comments 👇

Nate Herkelman

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post