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In-depth courses on web scraping, anti-bot evasion, cybersecurity, and networking, plus learning roadmaps for engineers who value their time. No fluff, just the implementation.
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coursesall topics ->
Web Scraping
67 lessons
A complete web scraping course: HTTP and parsing fundamentals, crawling, browsers, anti-bot engineering, and production-scale data pipelines.
01 HTTP Basics for Scraping02 Understanding HTML Structure03 requests, Sessions & Headers
67 lessons · free
start ->
Cybersecurity
42 lessons
Concepts, attack vectors, and defensive techniques for application and network security.
01 Encryption02 Hashing vs Encoding03 Digital Signatures and PKI
42 lessons · free
start ->
featured roadmapsall 39 roadmaps ->
Web Scraping
15 topics
01 Foundations02 Core Concepts03 Intermediate Skills
4 stages open roadmap ->
Cybersecurity
16 topics
01 Foundations02 Offensive03 Defensive
4 stages open roadmap ->
Frontend Development
40 topics
01 Internet Fundamentals02 HTML Fundamentals03 CSS Styling
8 stages open roadmap ->
Backend Development
38 topics
01 Internet & OS02 Languages03 Relational Databases
8 stages open roadmap ->
Python
116 topics
01 Foundations02 Core Concepts03 Intermediate Skills
29 stages open roadmap ->
Machine Learning & AI
17 topics
01 Mathematics02 Fundamentals03 Deep Learning
4 stages open roadmap ->
latest newsall news ->
Show HN: Jevcrawl – A web crawler for AI agents with no LLM in the crawl loop
A new MCP server and CLI called jevcrawl gives AI agents a way to crawl websites that finds the answer page more often, costs a fraction of current approaches, and returns only the passages that matter. The system uses a small dec...
Show HN: Deslop – Oxlint rules for AI-generated TypeScript
Oxlint has acquired a new set of opinionated rules designed to reject low-evidence, low-signal code patterns increasingly produced by AI coding assistants. The project, deslop, ships as the npm package ai-deslop and provides a cur...
FrontierML: A challenging, end-to-end machine learning benchmark
Scaling capital access across agent runs FrontierML enters the landscape as a benchmark from Induction Labs that measures how effectively agents convert budget into model performance on end-to-end machine learning tasks. The proje...
latest papersall papers ->
Can Language Models Play the Wikipedia Game?
Language models increasingly support or automate information retrieval from document collections too large to index. This task becomes difficult when it requires specialist linguistic or scientific knowledge. Hickey, Knight, and B...
AI Models Can Provably Hide Arbitrary Capabilities
Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited. Hickey and colleagues, together with Draguns and team, de...
Goal-Oriented Bundle Management and Flow Control for Deep-Space Communications via Reinforcement Learning
Deep-space Communications and Relay Resource Management Deep-space communications operate under intermittent connectivity, long propagation delays, and relay storage constraints. In such networks, the Bundle Protocol enables store...