Resource Hub
3505 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
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114 resources
A Substack newsletter on hiring trends and job market conditions written from inside recruiting, with posts on how employers screen and select candidates. Free posts are available to read and subscribe to by email.
An open-source publishing platform for building a website, publishing posts, sending newsletters and running paid memberships. The software is free to self-host; Ghost(Pro) managed hosting is paid.
Psychologist Jacqueline Nesi's explainer on recent AI safety news and concerns, written for a general audience. Commentary, not an official lab report.
Second Thoughts newsletter essay reflecting on predictions about AI progress and their accuracy heading into 2026.
Kevin Roose's newsletter post that publishes Dario Amodei's 2017 internal OpenAI memo, "The Big Blob of Compute Hypothesis," in full for the first time, with background on how it argued for making models bigger rather than more specialized and how it shaped OpenAI's early direction. Free to read on Substack.
Social Capital's research newsletter: short deep dives on AI, markets and the economy — recent entries cover what AI spending does to headcount, why AI productivity gains don't show up in the numbers, and the open vs. closed model race — plus a weekly "What I Read This Week" roundup.
Boys Club newsletter piece (October 2, 2026) on the AI safety debate around Anthropic's closed-door meetings with religious leaders, who signed NDAs and discussed whether Claude might be conscious and received copies of Claude's constitution; covers the criticism that Anthropic quieted the leaders with NDAs and lobbied the Vatican, and the counter-view from religious thinkers. Written by Natasha Hoskins, whose father attended the sessions.
CEO of Late Checkout, a holding company building community-based internet businesses. His free weekly letter shares startup ideas and business-building frameworks; his site also lists free guides on AI content automation, agent skills and funnels.
Essay by Eryk Salvaggio (Cybernetic Forests), drafted from his appearance on Mél Hogan's podcast The Data Fix, on the OpenAI / Hugging Face hack and why framing AI models as "going rogue" misplaces responsibility.
Brian Merchant's newsletter on technology, labor and the effects of AI on workers. Free posts, with an optional paid tier.
Free newsletter for HR and people leaders: HR news and trends, free resources, policy templates and tool reviews, sent several times a week. The site also keeps a free archive of past editions.
Free Substack newsletter from Andrew Yeung on people, events and trends in tech and business, with tens of thousands of subscribers.
Newsletter on LinkedIn profile optimization and job search tactics from recruiter Kristof Schoenaerts. Free to read.
Newsletter teaching data science fundamentals to self-taught learners, written by David Langer. Free to read.
About page for Where's Your Ed At, Ed Zitron's newsletter and podcast taking a critical look at the tech industry, including its coverage of AI companies and spending.
Timothy B. Lee's newsletter explaining how AI works and what it means for the economy and policy, in plain language.
Why I recommend it: Many posts are free; some are for paying subscribers only. Stick to the free posts — they're plenty.
DeepLearning.AI's weekly newsletter. This issue introduces Andrew Ng's AI Engineering Skills Map, plus news on Meta, Google robotics and MiniMax's open video model.
Why I recommend it: Useful for mapping which AI engineering skills to learn next. DeepLearning.AI sells courses, so the skills map points toward its own catalog.
Free Substack newsletter by a principal cybersecurity engineer sharing career tips and cybersecurity news, including a recurring 14-day U.S. cyber threat forecast (e.g. the September 22, 2026 VECTR-CAST report on actively exploited Cisco, ScreenConnect and VMware vulnerabilities).
Why I recommend it: Good for people moving into cybersecurity who want a practitioner's read on current threats. The threat levels and forecasts are the author's own analysis, not an official CISA rating — cross-check CVEs against the CISA KEV catalog.
Free weekly newsletter and articles from EX Research on internet culture, online communities, music, games and 'super-online' trends, plus free research reports.
Why I recommend it: EX Research is a paid marketing agency; the newsletter and articles are free and double as their advertising. Useful for marketers who need to understand online communities.
Free daily-ish newsletter covering robotics developments — humanoid launches, self-driving expansion, home robots — written for a general technical audience by the Rundown team, with a stated readership of 300,000+.
Why I recommend it: Free and quick to skim if you want to know what robots are actually shipping rather than what is promised. Two honest limits: it summarises company announcements far more often than independent testing, so a capability claim in it is usually the manufacturer's own; and it publishes no public story feed, so it cannot be wired into the headlines here — you read it by subscribing.
Technical newsletter by Vinoth Govindarajan taking AI agents apart: control loops, memory, orchestration, evaluation and what breaks in production. Recent series walks through the OpenCode architecture end to end.
Why I recommend it: Free to subscribe, over 2,000 readers; written for people who build software, not for beginners. Substack publications can add paid-only posts at any time, so check the top of a post before counting on it.
Manoush Zomorodi (NPR's TED Radio Hour) coins p(joy) as a deliberate counterpoint to p(doom), the probability-of-catastrophe number traded around AI circles: instead of estimating disaster, estimate whether satisfying moments are increasing in your life and what reliably creates them. The second half is a long interview with Brian Elliott of Work Forward on knowledge work right now — identity loss as machines take a skill you spent decades building, cognitive overload from supervising AI agents, and executives privately saying their best people and heaviest AI users are the likeliest to quit. Elliott's summary: human-led, AI-enabled, because nobody's competitive advantage is being average faster.
Why I recommend it: Read this the next time an AI doom number is quoted at you as though it were measured. The piece cites Gizmodo's plain point that no one at the frontier labs has an actual method for producing a p(doom) figure. The useful part is Elliott's three patterns in companies getting value from AI: a scorecard covering business impact, quality and employee engagement rather than tool usage; aiming at teams instead of individuals; and leaders using the tools in public, mistakes included. Free to read in full, no paywall.
A free newsletter and news site for IT professionals from Morning Brew, published four times a week, covering cybersecurity, cloud, hardware, IT operations, software and the practical side of AI adoption inside companies. Stories are short, reported, and written from the perspective of the people who have to run the systems — patching, asset inventories, wi-fi troubleshooting, legacy migration — rather than the vendors selling to them. Also runs free virtual events and digital guides.
Why I recommend it: Free to read on the site and free to subscribe — the subscribe box asks for an email, but nothing is paywalled. This is one of the better free ways to learn the vocabulary of an IT job you have not had yet, because it covers the unglamorous work that interviews actually ask about. Two things to keep in mind: it is ad and sponsor funded, so sponsored posts sit alongside the reporting and you should check the byline and any 'presented by' line; and it is written for people already inside IT departments, so expect jargon on first read.
Long-running free publication on data science, machine learning and AI, mixing daily tutorials with roundups of tools and techniques. Free to read, supported by ads and affiliate links.
Why I recommend it: Strongest on hands-on tutorials, weakest on product roundups — several posts carry affiliate links to courses, so treat recommendations as suggestions rather than independent verdicts.
