
Learn to collect gardening white papers and pdfs and automatically extract leads, using targeted searches, browser downloads, site mirroring, and wget one-liners to build a rich pdf repository.
Extract leads from pdfs and white papers using a tool; clone repo, set up pdfs and results folders, run docker compose, review domains, emails, names, phone numbers, social handles.
Analyze top competing Osint posts via content analysis to identify definitions, tools, use cases, and frameworks, then organize insights into clear categories to craft a tower blog post.
Explore how seo optimization analysis uses top ranking samples, word count targets (2200–3100, sometimes 3300), and highly relevant headings (about 20) with keyword-rich URLs to boost Google rankings.
Clone from GitHub, open with Visual Studio Code, and run docker compose up to install dependencies and generate mock data; then open analysis.ipynb and run all cells.
Load data and explore the user table to establish a baseline with 200 users and 26% conversion, then analyze the time-to-conversion distribution to find the aha moment before day 12.
Explore a reproducible mock saas task management app with a Postgres backend, seed data, docker-compose setup, and a simple schema to analyze user actions, projects, tasks, and subscriptions.
Analyze user actions in first 14 days to compare paid versus free users, showing pay users engage more with 30-40% higher actions and aha moments in creating tasks and projects.
Compare paid and free users in the first 14 days to reveal that task creation and task completion drive the key aha moments, more than projects.
Identify aha moment thresholds by analyzing conversion rates for task completed and projects created using four charts, noting that around 20 tasks completed triggers a rise.
Define the aha moment criteria by analyzing when nine or more tasks or two or more projects occur, and show that combining weak and strong indicators boosts conversion across cohorts.
Create a user profile and summary from the analysis, compare paid and free users, and reveal the aha moment when tasks or three or more projects complete in 14 days.
Are you ready to unlock explosive growth for your idea, project, startup, or established company?
This free course starts you on the path of implementing high impact, practical growth hacks used by modern Growth Engineers to rapidly acquire users, activate them effectively, and keep them coming back. Whether you're a founder, marketer, product builder, or curious creator, this short course will give you actionable strategies you can apply immediately. No fluff, just real techniques that move the needle.
This course is authored and narrated by Danny Blaker, a growth engineer with 16 years experience growing tech startups, including 7 years as a growth engineer at Sintelix: The industry leading text intelligence software for defence, intelligence, law enforcement, and fintech.
You'll start by learning 3 complete, high leverage growth hacks through detailed video walk throughs. First, you’ll discover how to automatically extract valuable leads from industry specific whitepapers, including how to find and download them quickly and effectively, and harvest contact data instantly using a custom script. Next, you’ll explore the “Tower Blog Post” framework: a scientific, reproducible SEO driven method to create high performing content using live SERP rankings and search intent analysis. Then, you’ll dive into the powerful concept of the "aha moment": the exact user behavior that predicts paid user conversion. You’ll work through a full mock project, analyzing user actions step by step to uncover this pivotal moment using realistic data and correlation analysis.
Beyond the core walk throughs, you'll also receive 16 additional growth hacks, categorized by time to implement and impact, and ranging from quick wins to deeper technical plays. These growth hacks span key stages of the customer journey: Acquisition, Activation, and Retention.
By the end of this free short course, as well as getting practical growth hacks you can implement right away to grow your own products, you’ll also start to think like a Growth Engineer, taking a data centric approach to growth, and begin developing the mindset for spotting growth opportunties that scale, the experimentation style, and resourcefulness needed to systematically uncover growth opportunities in any product.
Are you ready...
It's time to grow.