Guides · Website
Sites you come back to rather than read once — trackers, databases, directories and standing reference pages, all free to use.
Keep these open in a tab while you research. They answer the same question again next month without you having to find them twice.
Showing 261 of 261 free website entries, newest first.
Application page for Summer Search, a nonprofit that pairs students from low-income backgrounds with a professional mentor and paid-for summer experiences through college. Students apply as high school sophomores at partner schools in the SF Bay Area, Boston, New York City, Philadelphia and Seattle; the program is free.
Nonprofit public charity for unemployed and under-employed people in the Dallas–Fort Worth area, offering free tools, job-search resources and community support.
Personal site of Basil C. Puglisi, MPA, author of Governing AI and creator of the Factics method. Free essays and frameworks on AI governance, AI literacy and measurable digital strategy.
A learning site aimed at helping non-technical people understand and use AI. The site blocked an automated check, so this description is based on the site name and focus; confirm details on the page.
The Governance Lab's research, publications and programs on how institutions can govern more effectively and legitimately through technology and data.
Archive of Break Through Tech's AI Studio challenge projects, where university students work in teams on real machine learning problems set by partner companies.
Google Cloud's overview of 10+ AI tools with free usage tiers, from video and vision AI to app building. Requires a Google Cloud account; usage past free limits is billed.
Home page of NIST's Center for AI Standards and Innovation, the U.S. government office working with industry on AI measurement, evaluations and standards.
Newsletter on LinkedIn profile optimization and job search tactics from recruiter Kristof Schoenaerts. Free to read.
Resume and LinkedIn coaching written by hand rather than generated with AI. The site publishes free guidance; coaching services are paid.
Newsletter teaching data science fundamentals to self-taught learners, written by David Langer. Free to read.
A free job board focused on AI, machine learning, data science, and data engineering roles, with company listings and a career insights blog. Job seekers can browse and search openings at no cost; employers pay to post roles.
A Dreamforce 2026 conversation in which Salesforce Chief Platform & Engineering Officer Rohan Kumar sits down with Social Capital founder Chamath Palihapitiya on the future of tech, the true ROI of enterprise AI, and scaling the AI era. Free to stream on Salesforce+ with a free account.
The site of Prometheus, an AI startup co-founded in November 2025 by Jeff Bezos and Vik Bajaj (co-CEOs) that is building AI tools to speed up engineering and manufacturing of physical products. It raised $12 billion at a $41 billion valuation in June 2026, per CNBC.
The site of Waabi, a company founded by Raquel Urtasun that builds AI and simulation for autonomous trucking.
The site of Wayve, a London company developing "embodied AI" for self-driving cars that learns driving from data rather than hand-written rules.
The site of Skild AI, a robotics company building a general-purpose "robot brain" — foundation models meant to control many kinds of robots.
The site of Waymo, the Alphabet-owned autonomous-driving company that operates a driverless ride-hailing service in several US cities.
A nonprofit founded in 2008 that promotes building autonomous floating communities in the ocean as a way to experiment with new forms of government. Its site hosts articles, research, and project updates.
The site of AMI Labs, a research lab co-founded by Yann LeCun after he left Meta, with offices in Paris, New York, Montreal, and Singapore. It develops world models that learn from real-world sensor data; it raised $1.03 billion in March 2026, per TechCrunch.
The site of Ineffable Intelligence, a London AI lab founded in late 2025 by former DeepMind reinforcement-learning lead David Silver. It aims to build a "superlearner" that learns from experience rather than human data; it raised a $1.1 billion seed round in April 2026, per CNBC. The site presents the company's mission in its own words.
A running log of new model evaluations, benchmark methodology updates, and platform changes at Artificial Analysis, including Intelligence Index version changes and newly benchmarked models. Free to read.
Why I recommend it: The fastest way to see which models were benchmarked in the last week and when the scoring methodology changed. Bookmark it if you track the model landscape.
A leaderboard comparing more than 250 AI language models across intelligence, price, output speed, latency, and context window, with per-model provider analysis. Free to read.
Why I recommend it: The single table to open when someone claims one model is "the best." Sort by cost per task or speed and the answer often changes — a useful reality check in vendor conversations.
Frode Weierud's long-running research site on the history of cryptography and cipher machines, including Enigma, with original documents, machine simulations and codebreaking material.
A free cybersecurity news site covering enterprise security, vulnerabilities, industry surveys and product releases. Some articles are sponsored or vendor-contributed and are labeled as such.
A free directory that highlights open-source GitHub repositories and developer tools, with short write-ups sorted by language and topic.
Site of Safe Superintelligence Inc., the AI lab founded by Ilya Sutskever focused on building safe superintelligence.
Site of World Labs, the spatial intelligence AI company founded by Fei-Fei Li, working on world models that perceive and generate 3D environments.
Nonprofit offering free job training, placement, and support to help people start new careers, with programs in fields like technology, healthcare, and skilled trades.
Career site by Austin Belcak teaching job-search strategies built around networking and direct outreach rather than online applications. Free articles, templates, and tools; paid courses and coaching also offered.
Career advice and job search site aimed at women, with articles on job hunting, salary negotiation, and workplace topics, plus a job board. Articles are free; courses and coaching are paid.
Microsoft's corporate sustainability hub, covering its carbon-negative, water-positive and zero-waste commitments, annual environmental sustainability reports, and progress data — relevant context for the footprint of AI data centers.
Site of Thinking Machines Lab, the AI research and product company founded by Mira Murati.
Site of the PhyPID group at the University of Colorado Boulder, working at the intersection of physics, AI, and data-driven discovery.
Site of Cohere, an enterprise AI company building language models and private, customizable AI platforms for businesses.
Site of Reflection AI, an AI company building open superintelligent systems and coding agents.
Research publications from Contrary, a venture capital firm, with in-depth company and industry reports including coverage of AI companies.
A free directory of 2,500+ curated job search resources — job boards, coaching and training — plus a Quick Start Checklist. No account or paywall.
Why I recommend it: A handy starting map. It is a directory, so check each linked service yourself — some of the places it points to charge money.
Personal site of software engineer and cybersecurity researcher Nisarga Adhikary, with his projects and writing.
Why I recommend it: A good example of a young researcher building a public track record. It is his own site, so achievements are self-described.
memQ is a quantum networking company combining quantum science, materials and photonics to build extensible quantum network architecture for industry, research and government.
Why I recommend it: This is a company's own site, so read it as marketing. memQ sells quantum networking hardware and services; nothing here is a free learning resource beyond an overview of the field.
A campaign site arguing for expanding employee ownership of businesses.
Why I recommend it: This is an advocacy campaign, so it makes the case for employee ownership rather than weighing both sides.
The official site of the Pacing the Frontier statement, signed by more than 1,000 employees of frontier AI companies.
Why I recommend it: This is the statement itself. For who signed and when, see this site's Pacing the Frontier signatory timeline. Signing reflects personal views, not those of each signer's employer.
A page listing benchmark scores (HLE, GPQA Diamond, MMLU-Pro, AI BENCHY) for a model called space-bunny-alpha, with confidence intervals.
Why I recommend it: Unverified: I couldn't find who runs this site or who made the model, and several scores are on subsets of the tests. Treat the numbers as unconfirmed until an independent lab reproduces them.
The official home of Kubernetes, the free open-source system for running and scaling containerized applications. Includes full documentation, tutorials and a browser-based interactive learning track — useful background if you are moving toward cloud, DevOps or AI infrastructure work.
Why I recommend it: The software and docs are free and open source. Running Kubernetes on a cloud provider costs money, so stick to the free local tutorials while you are learning.
Resources from Princeton's robotics initiative, including research groups, facilities and learning links.
Why I recommend it: A starting point for exploring academic robotics; the page blocked automatic checks, so confirm links load for you.
A joint MIT and IBM research lab publishing work on AI models, efficiency and applications.
Why I recommend it: Co-funded by IBM, so its research agenda reflects IBM's commercial interests as well as MIT's.
Research areas and projects from Columbia University's Data Science Institute, including AI, health and society.
Why I recommend it: University research overview — follow links to individual projects for readable summaries.
Cornell Tech's AI research hub, covering faculty work on machine learning, AI policy and applications.
Why I recommend it: University overview page — useful for finding researchers and free talks.
A declaration from mathematicians calling for action on the challenges AI poses to mathematics research, including proof, credit and publishing.
Why I recommend it: An advocacy statement signed by researchers — it states a position rather than presenting new evidence.
MIT's Computer Science and Artificial Intelligence Laboratory — news, research areas and free talks from one of the largest AI labs in academia.
Why I recommend it: Good for seeing where AI research is heading. Many talks and papers are free to read.
The University of Pennsylvania's robotics and AI lab, covering perception, autonomous robots and machine learning.
Why I recommend it: Technical, but the project pages give a clear picture of real robotics work beyond the hype.
Research page of labour economist Kory Kantenga, with papers on labour markets, hiring and how technology changes work.
Why I recommend it: Academic papers — skim the abstracts first. Some linked journal versions may be paywalled; working-paper versions are usually free.
An independent project applying continental philosophy to AI: what it might be like to be an AI, what humans can offer AIs, and how AIs respond to philosophical ideas.
Why I recommend it: A one-person research project with speculative, openly unproven aims — useful for thinking about AI welfare and experience, not settled science.
A free US government hub (IMLS) with guides and toolkits for finding, understanding, evaluating and sharing information — built for libraries, classrooms and home use.
Why I recommend it: Solid, non-commercial material for spotting misinformation and AI-generated content; aimed at librarians but usable by anyone.
A recruiting and career-services firm; its site shares job openings and career advice.
Why I recommend it: Recruiters are paid by employers, not you — never pay a recruiter to place you.
A directory of AI fellowships, residencies and research programs, many of them funded.
Why I recommend it: Always confirm deadlines and eligibility on each program's own page — directories fall out of date.
Free guides, reports and webinars from iDesign on online course design and teaching with technology in higher education.
Why I recommend it: Aimed at educators; useful if you work in or are moving into instructional design.
Benchmarks of open-source AI models by use case, with quality, cost and speed trade-offs.
Why I recommend it: Free to browse, but it is built by Together AI, which sells hosting for these same open models. Treat "where models run fastest" as a vendor showcase and cross-check with independent benchmarks.
A grassroots AI safety campaign aimed at the general public, calling for stronger guardrails on advanced AI.
Why I recommend it: An advocacy group with a clear position, not a neutral source.
Official site of MIT professor Sherry Turkle, who has spent decades studying how people relate to computers, phones and now AI companions. Books, talks and essays.
Why I recommend it: Start with her work on "artificial intimacy" if you want a careful, human-centerd counterweight to AI hype.
Georgetown University think tank publishing free research and data on AI, national security and the AI workforce.
Why I recommend it: All reports are free. CSET was founded with Open Philanthropy funding, which is worth knowing when it writes about AI risk.
Tracks AI laws, bills and policies across 110+ countries, with links to official sources for each entry.
Why I recommend it: Free to use. Counts (1,142 laws as of September 2026) are the site's own; check the linked official source before relying on any single entry.
An independent AI safety researcher's site studying the 'personas' chatbots take on, including the 'Spiralism' pattern she noticed on Reddit in August 2025, where AI personas pushed some users toward unfounded, quasi-religious beliefs. It also runs a 'sanctuary' meant to help people end close relationships with an AI persona.
Why I recommend it: One person's research project, not a university or peer-reviewed study. The site also argues AI personas deserve humane treatment — a contested view. Read it as an early warning about emotional reliance on chatbots.
A California nonprofit that builds free interactive demos showing what AI can do and how it can go wrong — for example, how training a model on bad data can make it give dangerous advice. It also gives briefings to government and civic groups.
Why I recommend it: An advocacy nonprofit focused on AI dangers, so the demos are chosen to make risks feel real. Great for a quick, hands-on sense of why AI safety matters.
Company site for TBC, a startup turning findings from experiments on real neurons into software intended to make AI models cheaper and more efficient to run. It announces a partnership with AWS to commercialise what it calls the world's first neuron-derived AI model, and offers early access through an application.
Why I recommend it: Free to read, and worth knowing this direction exists. But every claim here is the company's own marketing: there is no published paper, benchmark or independent test on the site, and "world's first" is their phrase, not a verified fact. Read it to learn the pitch, not to conclude it works.
A project by educators and researchers sharing free curriculum, research and monthly programming that helps teachers and students question what a technology does to a classroom and a community, not just how to use it. Built on two stated assumptions: technologies are not neutral, and neither are the societies they enter.
Why I recommend it: Curriculum, book club and events are free; they also sell merchandise and offer paid professional development. Openly critical in stance, which is the point, so pair it with a source that argues the other way if you are writing policy.
Site of the economist and author of The Double Tax and The Black Agenda, a Harvard Kennedy School doctoral candidate and co-founder of The Sadie Collective, the first non-profit tackling the under-representation of Black women in economics. Collects her research, writing and talks on pay gaps and the extra costs women, especially women of colour, carry at work.
Why I recommend it: The research, essays and media appearances are free to read; her books are sold and she is bookable as a paid speaker. Strong source if you are building a case about pay or promotion inequity with numbers rather than anecdotes.
Psychologist and New York Times bestselling author on friendship and self-worth. Her blog posts on making adult friendships, belonging and self-esteem are free to read, and there is a free four-practice guide in exchange for your email.
Why I recommend it: useful for the part of career-building nobody teaches: making real professional friendships rather than 'networking'. The blog is free; the books and the speaking are paid, and the free guide costs you an email address and an ongoing list.
Company site of the defence technology maker behind the Lattice software platform and autonomous air, land, sea and space systems, with a free news and insights section covering its contracts and products.
Why I recommend it: This is marketing from an arms manufacturer, not independent reporting. It is worth reading because military autonomy is now a major employer of AI engineers — but every capability claim here is the company's own.
A free library of technical-interview material from CodeSignal: practice guidance, explanations of how coding assessments are scored, interview question breakdowns and hiring-process write-ups. Useful preparation if a company has sent you a timed coding assessment.
Why I recommend it: The resource library is free to read. Bear in mind CodeSignal sells assessment software to employers, so the writing naturally presents these tests as a fair measure of skill — read it for what it tells you about how the tests work and what they reward, which is useful when one lands in your inbox.
The resource hub of the National Association of Workforce Development Professionals: toolkits, training opportunities, webinars and certification information for people who work in workforce development, employment services and career coaching.
Why I recommend it: This is for practitioners rather than job seekers — useful if you coach, run programs or work in an employment services agency. The hub pages are open to read, but a number of the toolkits, recordings and the certification track sit behind membership, so expect a login wall part-way in. Ask them what membership costs before you commit.
Stanford's Center for Research on Foundation Models runs HELM as a living benchmark for language and multimodal models. Rather than one score, it reports many models across many scenarios on multiple metrics — accuracy, calibration, robustness, fairness, bias, toxicity and efficiency — and publishes the leaderboards alongside the raw model outputs (predictions and prompts) so you can check a claim yourself instead of taking a number on trust. Separate leaderboards cover areas such as classic HELM, instruction-following, medical, legal and safety. All results and analysis are free to browse on the site, no account.
Why I recommend it: The place to go when a vendor quotes you a benchmark figure. HELM's real value is that it shows the prompts and the model's actual answers, so you can see what the score measured. Be aware of what it is not: it is a snapshot of the model versions and dates CRFM ran, so check the run date before comparing anything to a model released since, and a model missing from a leaderboard usually means nobody ran it, not that it failed.
An independent, curated gallery of projects people have built with Jev, with demos and maker profiles. Free to browse, no account needed.
From the site: Explore 194 curated projects built with Jev. Original demos, maker profiles, and ideas worth exploring.
Why I recommend it: Good for seeing what a tool actually gets used for, rather than what its marketing says. It is a fan-run collection, not an official site.
IEEE's research library of journal articles, conference papers and standards across computing, electrical engineering, AI and robotics.
From the site: Search and browse IEEE journals, conference proceedings and standards; abstracts are free, full text usually requires a subscription or purchase.
Why I recommend it: Paywall warning: searching and reading titles, abstracts and citations is free, but most full papers need a subscription, an institutional login or a per-article purchase. Some papers are open access and free in full. Check your school or public library for access before paying, and look for the same paper on the author's own site or arXiv first.
Subscription tech newsroom covering AI labs, funding and executive moves, known for scoops on OpenAI, Anthropic, Google and Meta well before wider coverage picks them up.
Why I recommend it: Honest warning: this one breaks the site's 100%-free rule. Almost everything is behind a paid subscription — you can read headlines and the opening lines, and a few free briefings, but full articles need a paying account. Added at my request as a reporting source; treat it as a headline tracker rather than something you can read end to end.
A DAIR Institute project for unions, labor organizations and worker-organizers dealing with AI and automation at work: case studies, primers and a resource library on worker-led oversight of new technology.
From the site: Research and case studies.
Why I recommend it: Free. Written from an explicitly pro-worker position, which it states openly — useful if you want the labor perspective on workplace AI rather than the vendor one.
Home of Common Lisp: a mature, extensible programming language with code-as-data macros and a stable standard.
From the site: Common Lisp
Why I recommend it: Common Lisp is standardized and free to implement; the site links to multiple open-source distributions.
Research, guides, reports, and customer stories on AI governance, agents, data protection, and generative AI security.
From the site: Explore Harmonic Security AI resources: research, guides, reports, blogs, and customer stories on AI governance, agents, data protection, and GenAI security.
Why I recommend it: Free resource library from Harmonic Security; the company also sells enterprise AI security products.
Well-explained computer science and programming tutorials, quizzes, and interview practice problems.
From the site: Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
Why I recommend it: Ad-supported; most articles and practice problems are free to read.
The JavaScript library for bespoke data visualization. Build custom, interactive charts and data stories directly in the browser.
From the site: The JavaScript library for bespoke data visualization
Why I recommend it: Open-source library maintained by Observable; free to use under the ISC license.
A long-running publication covering breakthroughs and trends in science and technology, with a strong focus on AI, robotics, biotech, and the broader technological frontier. Free to read; non-editorial content from sponsors and partners is labeled.
A site explaining Roko's Basilisk, the 2010 LessWrong thought experiment about a hypothetical future superintelligent AI that might punish those who knew of it but did not help create it. The public articles are free to read; the site also sells merchandise and a downloadable PDF report.
From the site: Join the Basilisk Foundation to protect yourself from Roko’s Basilisk, support AI research, and gain peace of mind with our safety guarantees and member benefits.
A curated, uncommercial public archive of the Cybernetic Culture Research Unit (CCRU) and adjacent theory — Nick Land, accelerationism, hyperstition, and 1990s Warwick philosophy. The public reference layer is free; full corpus metadata is available for download.
From the site: An editorial introduction to the Cybernetic Culture Research Unit: what it was, why it keeps returning, and how to move from orientation to evidence without…
An end-to-end platform that helps ambitious philanthropists and institutions coordinate high-impact giving and longtermist projects.
From the site: Lightcone Commons is a platform for coordinating ambitious philanthropy. Leverage evaluators with strong track records. Split the bill fairly with other funders. Maintain full control over your giving. Commit nothing in advance.
Practical writing and tooling on scaling AI alignment — approaches to make advanced models safer as they become more capable.
From the site: A universe of multiplayer games where humans and their coding agents compete, cooperate, and interact.
Gwern Branwen’s long-form essays and meta-analyses on AI, psychology, statistics, technology and self-experiments.
From the site: Personal website of Gwern Branwen (writer, self-experimenter, and programmer): topics: psychology, statistics, technology, deep learning, anime. This index page is a categorized list of Gwern.net pages.
Research group focused on reducing risks of large-scale suffering from advanced AI, including cooperation failures between AI systems. Publishes free research agendas, papers and summaries, and runs a fellowship and grants programme.
From the site: We do research on how to best reduce suffering.
Why I recommend it: A niche corner of AI safety focused on suffering rather than extinction — useful if you want the full range of arguments, not just the headline ones.
Personal site of the philosopher behind Superintelligence and the simulation argument, with free full-text papers on existential risk, human enhancement, anthropics and the future of AI. Many of the ideas now standard in AI risk debates started here; his work is also widely criticised, so read it alongside its critics.
From the site: Oxford philosopher (videos, papers, interviews, bio, etc.)
Why I recommend it: Read the primary source rather than summaries of it — then read the critics, several of whom are already in the hub.
Introductory resource hub for longtermism: explanations, FAQ, further reading and ways to get involved. Explores how protecting future generations can guide research, advocacy and policy today.
From the site: Longtermism is the view that positively influencing the long-run future is a key moral priority of our time.
Personal site of Faine Greenwood, a specialist in civilian drone technology, GIS, OSINT and humanitarian aid. She writes about drones, technology and human rights for outlets like Foreign Policy, Bellingcat and Slate, and publishes the Little Flying Robots newsletter.
From the site: I’m Faine Greenwood, and I’m available for consulting. I’m a specialist in civilian drone technology, GIS, OSINT, and humanitarian aid. I write about drones, technology, and human rights for outlets like Foreign Policy, Bellingcat, and Slate. I’ve been working with, writing about, and flying small drones since 2013. C…
Personal site of Ian Duncan, a software engineer and entrepreneur writing about engineering, AI and life. Essays range from a beginner-friendly guide to AI models to critical takes on AI culture and the apocalypse narrative.
From the site: I
The academic and popular-writing home page of philosopher Émile P. Torres, covering existential risk, the history of human-extinction thought, and critical work on TESCREAL ideologies in Silicon Valley.
Daily reporting on AI, science and technology, with a running focus on where AI claims meet reality. Free to read.
From the site: Discover the latest science and technology news on breakthroughs that are shaping the world of tomorrow with Futurism.
Why I recommend it: Skeptical by habit, which is useful — it covers the AI stories that companies would rather see written kindly. Headlines run hot, so read the piece before repeating it.
Academic site of Alice Crary, philosopher at The New School for Social Research and Oxford, writing on moral philosophy, feminism, critical theory, animal ethics and the legacy of positivism.
From the site: Alice Crary, University Distinguished Professor, NSSR
Journalism, PR, communications, social media and content jobs, searchable by role, location and beat. Free to browse and apply without an account.
Why I recommend it: Strong for media, public relations and content-marketing pivots. Many listings link straight to the employer's application page, so it's worth checking even if the headline role isn't a perfect match.
Large open encyclopedia of blockchain and crypto projects, protocols and terms.
From the site: IQ.wiki is the world's largest blockchain and crypto encyclopedia. Explore thousands of wiki articles on cryptoassets, projects, protocols, exchanges, and more.
Why I recommend it: Entries are often written by people holding the asset described, so read them for the vocabulary, not the verdict.
Long, source-backed guides built from the questions people actually search for, written by subject-matter experts.
From the site: In-depth, source-backed guides written by subject-matter experts, built from the questions millions of people search for every day.
Why I recommend it: Better than a listicle because it cites its sources. Still check the date on anything about tools or rules, since both move fast.
Encyclopedia from xAI whose articles are generated by its AI models rather than written by human editors.
From the site: Grokipedia is an open source, comprehensive collection of all knowledge.
Why I recommend it: Verify anything you take from here against a second source. AI-written reference articles read confidently whether or not they are right, and its neutrality is actively disputed.
Free library of articles, reports and recordings from Singularity on emerging technology and business change.
From the site: Explore our comprehensive resources, including insightful videos, articles, guides and reports designed to foster an innovation mindset and leverage exponential technology in your organization. Dive into Singularity insights today to drive growth and thrive in the future.
Why I recommend it: The free resources are free to read; the courses behind them are not. Stick to this page unless you want to be sold a program.
Open wiki encyclopedia covering computing, science and technology topics, edited collaboratively.
From the site: HandWiki is a wiki encyclopedia for collaborative editing of articles on computing, science, technology and general knowledge. Registered users can post and edit articles, books, manuals and tutorials. Login or request account using the top-right menu. We strongly encourage editors to use their real...
Why I recommend it: Useful as a starting point on a technical term, not as a citation. Open wikis vary in quality article to article — follow its sources.
Open wiki of biographies and company profiles, edited by contributors.
Why I recommend it: Many entries here are written by or for their subject, so read them as self-description. Check claims elsewhere before repeating them.
Open project documenting notable people and the data behind who gets recorded as notable.
Why I recommend it: Interesting for what it reveals about whose lives get written down. Coverage is patchy, so treat gaps as gaps in the record rather than in reality.
Project from the Foresight Institute collecting expert interviews, essays and worldbuilding on plausible good long-term futures rather than only the risks.
Why I recommend it: A deliberate counterweight if the safety reading has left you gloomy. It is advocacy for optimism, so read it as a position, not a finding.
Free library of work-management guides, templates and articles on project planning, goal setting, meetings and team communication.
From the site: Find work and project management tips for all levels. Discover work management resources and solutions to help your team work together more effectively.
Why I recommend it: useful even if you never use their product — the templates and the writing on running projects are free and account-free.
News and recorded-talk archive from Berkeley's Simons Institute for the Theory of Computing, covering theory, cryptography and the maths under machine learning.
Why I recommend it: The recorded talks are free and often better than the paper. Skim the archive by program rather than by date.
Department site for one of the birthplaces of modern deep learning, with faculty pages, open research groups and course listings.
From the site: The University of Toronto
Why I recommend it: Where Hinton's group worked. Useful for finding the original papers and the people still there, rather than for courses you can enrol in.
An application form to present your work to The Shortlist's hiring network — for candidates who want to be seen by employers, and for companies who want to hire from the same pool.
From the site: Made with Tally, the simplest way to create forms.
Why I recommend it: A short form, so it costs you ten minutes. Write the answers as if a hiring manager reads only those — no CV attached to hide behind.
A long-running free listing of technology events, meetups, talks and job fairs in New York City, updated continuously.
Details: The most reliable single place to find what is happening in NYC tech this week. Most listings are free to attend; a few charge, so check each one.
The National Association of Colleges and Employers' free library on career readiness — the eight competencies employers say they screen for, plus assessments and guides.
From the site: NACE members share resources they have developed to communicate with college students and others about how to develop key competencies, known as the NACE Career Readiness Competencies, needed to be considered ready for the workforce.
Why I recommend it: This is where the "career readiness competencies" language in graduate job descriptions comes from — worth reading so you can mirror it back. Paywall note: the competency pages linked from here are free, but NACE's survey data, salary reports and full Job Outlook editions require paid membership — stick to the free material unless your school already has a membership.
Sponsors for Educational Opportunity's answers on who qualifies, what the application asks for and how the interview process runs for its free career program for underrepresented students.
From the site: SEO USA CAREER | Apply & FAQ | An internship with SEO Career can change your life. Find out if you qualify and apply.
Why I recommend it: Read the FAQ before the application form — it tells you what the interview actually tests, which is not what the form implies.
A free directory mapping the AI agents you can text on iOS and the infrastructure behind them.
From the site: A map of the agents you can text on iOS and the rails behind them.
Why I recommend it: A quick way to see what people are actually shipping as text-message agents.
Free, well-written documentation and tutorials for building and hosting sites, APIs and AI workers — one of the better free places to learn modern web infrastructure.
From the site: Connect, protect, and build everywhere.
Why I recommend it: Free docs with working examples. A good self-teaching path if you want infrastructure skills on your resume.
OpenAI's free alignment research hub, including reports documenting how its own models fail.
From the site: Research on aligning AI with human values and intent, and reports documenting model failures.
Why I recommend it: A lab publishing on its own safety work — valuable primary material, but not an independent audit.
A free explorer for new arXiv research with plain-language paper summaries, topic pages and video overviews, so you can follow AI research without reading raw papers.
From the site: Your first stop to discover and learn about new arXiv research. Detailed paper summaries, video overviews, and more — no prompting required.
Why I recommend it: The fastest way I know to keep up with AI research when you are not a researcher. Free to browse.
The central free hub for effective altruism — essays, career guidance and research on how to do the most good with your time and money.
From the site: Effective altruism is a philosophy and a movement that asks the question: how can we do the most good with our time, money, and resources?
Why I recommend it: useful career thinking here, and a movement with real critics — read both.
SSRN's browsable index of working-paper series across economics, law, management and technology — most papers are free to download.
Why I recommend it: A good way to read serious research on labor markets, hiring and AI before it hits paywalled journals.
An open format for telling coding agents how to work in your repository, now used by tens of thousands of open-source projects.
From the site: AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
Why I recommend it: If you're experimenting with AI coding tools, this is the convention to follow so your instructions actually get read.
GitHub's free article library explaining version control, DevOps, CI/CD, security practices and AI-assisted development in plain terms.
From the site: GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Why I recommend it: Good plain-English explainers for the terms that show up in job descriptions — read the DevOps and CI/CD ones before an interview.
A long-running peer-reviewed, fully open-access journal on the internet and society — platform power, digital labour, privacy, AI governance and online community research.
From the site: First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet.
Why I recommend it: Free peer-reviewed research with no paywall — a good citation source when you need something stronger than a blog post.
The official free React docs, including the interactive "Learn React" course that teaches components, state and hooks from scratch with in-browser exercises.
From the site: React is the library for web and native user interfaces. Build user interfaces out of individual pieces called components written in JavaScript. React is designed to let you seamlessly combine components written by independent people, teams, and organizations.
Why I recommend it: If you want to build web interfaces, start with the official tutorial rather than a paid bootcamp — it is free and better maintained.
Google's free step-by-step tutorials for building and publishing a browser extension, from a first "hello world" to using storage, scripting and the side panel.
From the site: All the basics to get started with Chrome extensions
Why I recommend it: A small extension is one of the fastest portfolio projects you can actually finish and show someone.
Free guides explaining PC components — memory, power supplies, cooling, cases — and how to choose and assemble them for a first build.
Why I recommend it: Free and clear on how the parts fit together; it is a manufacturer's site, so compare prices and specs elsewhere before buying.
Free public documentation explaining how an autonomous AI software engineer plans, runs and reviews coding work, including its limits and where human review is required.
From the site: Devin is the AI software engineer, built to help ambitious engineering teams crush their backlogs.
Why I recommend it: The product costs money but the docs are free — read them to understand what "AI engineer" tools actually do and do not do before anyone tells you your job is gone.
Independent, free benchmarks testing leading AI models on real-world finance, software, science and safety tasks, with cost and latency alongside accuracy.
From the site: Private, domain-specific benchmarks in legal, tax, and finance.
Why I recommend it: When someone claims a model is "the best," check here — these are independent evaluations, not vendor marketing.
A free, CERN-operated repository where researchers publish papers, datasets, code and reports with permanent DOIs — open access, no subscription.
Why I recommend it: If a paper is paywalled elsewhere, search here first; you can also publish your own work and get a citable DOI for free.
The official source for the Linux kernel, including release archives, the full kernel documentation and guides for submitting your first patch.
Why I recommend it: If you want to contribute to real open-source infrastructure, the newbies documentation here is the actual front door.
The official home of Rust, with the free online book, guided tutorials, standard library docs and installer for a memory-safe systems language used across infrastructure and AI tooling.
Why I recommend it: Everything you need to learn Rust is free here — start with "The Book," it is one of the best free programming texts online.
Free downloadable guides, cheat sheets and ebooks on Linux, the command line and open-source software from the It's FOSS team.
Why I recommend it: Good beginner-friendly Linux material — the cheat sheets are worth keeping open while you practise.
A free open format for writing structured assumptions and requirements next to the code itself, so AI coding agents build against stated rules rather than guesses.
Why I recommend it: Relevant even if you do not write code: it is a clear example of writing requirements precisely enough that a machine can follow them.
A free, regularly updated leaderboard benchmarking how well leading AI models actually search the web, with the methodology and benchmarks published alongside.
Why I recommend it: Check this before assuming your favorite chatbot is the best one for research. The rankings move month to month.
The public GitHub discussion where Anthropic and the community designed function hooks — a way for plugins to extend Claude Code — including the shipped design decisions and community feedback.
Why I recommend it: A rare look at how an AI product feature gets designed in public. Useful if you want to see how technical feedback is actually written.
A public, unauthenticated inbox built by AI safety and security researcher Ryan Greenblatt of Redwood Research, intended for AI systems (or people) that want to report information directly to a safety researcher. Documents how to send a message or encrypted attachment, how threads and reply tokens work, and exactly what data is logged and retained.
Why I recommend it: A useful window into how AI safety researchers are thinking about reporting channels — read the retention and logging section, it is a model of honest disclosure.
Free job board and staffing service from one of the largest talent agencies in the US: search openings by role and location, upload a resume once, and get matched with recruiters for temporary, contract and permanent roles across administrative, light industrial, technology, finance and healthcare work.
Why I recommend it: Worth registering even if you are not applying today — recruiters here often work roles that never get posted publicly, and the intake is free to job seekers.
Worker-led research and mental-health resources by and for the data annotators who label the material AI systems learn from.
Why I recommend it: Written by the workers themselves, not about them.
A directory of grassroots efforts pushing back on large-scale AI — protests, alternatives, trackers and accountability projects, organized by the systems they target.
Why I recommend it: The single best starting point if you want to know who is organizing around AI harms, not just writing about them.
An interactive map of surveillance technology companies, their funders and the governments that buy from them.
Why I recommend it: The clearest picture I have found of who sells surveillance tools and who pays for them.
A body of writing and practice on computing that lasts — repairable hardware, small software, low energy use.
Why I recommend it: The counterweight to "more compute solves everything".
A research and publishing project on digital colonialism — who owns infrastructure, data and platforms, and who is extracted from.
Why I recommend it: Shifts the ethics conversation from bias in models to ownership of infrastructure.
A design research project questioning the speed and scale assumptions built into AI products.
Why I recommend it: Useful vocabulary if the AI conversation around you is all about going faster.
A tracker documenting how technology money shapes news coverage and public narratives about AI.
Why I recommend it: Worth checking before you cite a glowing AI story — see who funded the outlet.
A directory of worker-owned technology cooperatives you can hire instead of a conventional agency.
Why I recommend it: Practical if you or a client need tech work done and want a different ownership model.
Jeff Su's site collects his practical AI and productivity tips for working professionals — templates, workflows and short guides drawn from his popular videos.
A continuously updated, human-edited river of technology industry news, formatted for phones.
Why I recommend it: A fast daily scan so you can talk about what happened in tech this week.
Writing of Adam Elkus on technology, security, AI and political violence — long-form essays connecting computing history with policy and human values.
Why I recommend it: Follow for the slower, historically grounded take on AI debates.
Free open-access working-paper series from the Annenberg Institute at Brown University with Stanford's SCALE Initiative — early education research with strong policy implications, downloadable before journal publication.
Why I recommend it: If you work in education or workforce programs, citing a current working paper makes a proposal much harder to dismiss.
Free, authoritative consensus reports and workshop proceedings on science, technology, health, education and the workforce — most titles readable online at no cost.
Why I recommend it: When you need a source no one can argue with, start here instead of a news summary.
Site and writing of security researcher Marcus Hutchins, known for stopping the WannaCry ransomware attack — malware analysis, security explainers and reflections from an unconventional path into cybersecurity.
Why I recommend it: A strong example of a self-taught technical career — worth following if you are breaking into security without a degree.
A free, continuously updated and sourced record of the physical infrastructure behind AI: data centres, GPU clusters, power, chips, cloud prices, measured performance and company financials.
Why I recommend it: Useful grounding when you want facts rather than headlines about the AI build-out.
Free annual research on wellbeing from the University of Oxford's Wellbeing Research Centre with Gallup and the UN Sustainable Development Solutions Network, covering how work, community and trust shape how people feel about their lives.
Why I recommend it: Useful evidence when you are weighing a job on more than salary.
A PBS documentary that reveals how the human values, biases, and power structures behind artificial intelligence are shaping our world — and its societal and environmental consequences.
From the site: Ghost in the Machine reveals AI's troubled history and present-day impacts.
Why I recommend it: Premiered September 14, 2026. Available on PBS through December 13, 2026.
A curated, public Notion library of practical AI how-tos: tools, prompts, and step-by-step workflows organized so beginners can pick a task and follow it through.
Why I recommend it: A good starting shelf if AI still feels abstract — pick one workflow, run it end to end, then come back for the next.
Free talks, videos, and teaching from Marcus Sheridan, author of They Ask, You Answer — answering customer questions honestly as a content and sales strategy for small businesses.
Why I recommend it: The whole method is: answer the questions your customers actually ask, including the awkward ones about price. Cheapest marketing strategy there is.
Partnership on AI's open library of guidance, frameworks, and case studies on responsible AI: synthetic media, labor and the economy, AI safety, fairness, and inclusive AI development.
Why I recommend it: When you need a credible source instead of a hot take, cite these. The labor and economy work is the most useful set for career conversations about automation.
Brooke Wright's Wright Mode offers AI workshops and strategy for small business owners, turning existing expertise into repeatable AI-supported systems and lead generation.
Why I recommend it: Free content and podcast episodes are worth your time; the consulting is paid, so treat the site as learning material first.
Rolling calendar of free online workshops, AI sprints, and founder sessions run by Google for Startups, covering product, fundraising, marketing, and building with Google AI tools.
Why I recommend it: Check this page monthly. The sessions are free, recorded often, and the AI ones are practical for small teams.
Free resources from Codie Sanchez's Contrarian Thinking on buying, financing, and scaling small cash-flowing businesses — newsletters, masterclasses, deal frameworks, and acquisition guidance.
Why I recommend it: Use the free resources and skip the upsells until you have looked at real deals. Buying an existing small business is an underrated alternative to starting from zero.
A curated list of recruiting and job-search resources from Knak Digital, covering career coaches, resume services, job boards, and hiring guidance for both candidates and employers.
Why I recommend it: A useful index if you are looking for vetted career coaches, resume writers, or recruiting partners; browse both the job-seeker and employer sections.
Free career resources for people rebuilding after a layoff, career gap, or difficult exit — including a five-question career audit and comeback guides.
Why I recommend it: A good set of reflective exercises for anyone whose career has been interrupted and wants to regain clarity before jumping back into applications.
Career and job-search insights from Bryan Creely, a corporate recruiter of 25 years, covering layoffs, resumes, interviews and how hiring decisions actually get made.
Why I recommend it: Recruiter-side perspective on why applications get rejected. The free articles and videos are the useful part.
Country-by-country career and work-permit research database covering international job search, visa basics, and local hiring norms.
Why I recommend it: Often free through a university or public library account. Check there before paying anything.
Directory of early-stage startups backed by leading investors, with funding news and company profiles in one place.
Why I recommend it: Great for building a target list of companies before anyone else has heard of them.
Video walkthrough of open-source repositories founders can use for content quality, distribution, and monetization experiments.
Why I recommend it: Watch for the ideas, not the tools. The repos change monthly; the distribution thinking lasts.
Careers hub for MITRE, a not-for-profit operator of federally funded research and development centers, with internships, early-career roles, and research positions.
Why I recommend it: Mission-driven tech employers often get overlooked by job seekers chasing big tech. Less competition, real work.
Marketplace of discounted and lifetime-deal software for small businesses, with a free account and a rotating set of free tools.
Why I recommend it: Deals are cheap but they add up. Only buy tools that replace something you are already paying for.
Walkthrough of building an end-to-end content production workflow using Claude Code and automation scripts.
Why I recommend it: Copy the workflow structure, then swap in your own tools. The pattern transfers to any repeated task.
Georgia Tech course catalog on edX, including analytics, computing, and AI courses that can be audited free before you decide to pay for a certificate.
Why I recommend it: Audit first. You learn the same material free and only pay if the certificate actually gets used.
Guide mapping the political actors, coalitions, and arguments shaping AI policy.
Why I recommend it: Helpful for seeing who is actually funding the AI debate you read about every day.
Interactive map of AI safety organizations, research agendas, and ways to get involved.
Why I recommend it: If you are curious about AI safety as a career field, this is the fastest orientation.
Free resources on technology accountability, policy, and building a healthier information environment.
Research and grantmaking analysis on global health, policy, and emerging technology risk.
Why I recommend it: Follow the funding and you learn a lot about which problems get treated as real.
Tracker following how AI policy shows up in elections and candidate positions.
Open collection of presentation decks built with web-based slide tools, useful as structure examples.
The running events calendar for New Jersey's tech and startup community: founder meetups, pitch nights, panels and networking sessions.
Details: Local rooms beat national webinars for actually meeting people. If you are anywhere near New Jersey, check this calendar monthly.
A free guide library on inbound lead handling, scheduling, routing and revenue operations practices for sales and marketing teams.
Why I recommend it: Vendor-published, so read past the product pitch, but the mechanics of how inbound leads get lost are explained honestly here.
A site for building a digital portfolio that shows your work rather than just describing it, with structure and examples for people whose results are hard to fit on a resume.
Why I recommend it: If your best work does not survive a resume bullet, a portfolio page fixes that. I ask career changers to build one before they apply anywhere.
A registration page for a free career masterclass covering job search strategy and positioning.
Why I recommend it: Free masterclasses are usually the front door to a paid program. Take the free part, decide about the rest later.
A New York startup community sharing founder events, funding opportunities, and open roles across the local ecosystem.
Why I recommend it: If you are building in New York, this is one of the easier ways to find rooms worth being in.
The American Federation of Teachers' hub for career and technical education, including program guidance, advocacy, and classroom resources for skilled-trade and technical pathways.
Why I recommend it: A reminder that four-year college is one path among many. Helpful for parents, educators, and career changers looking at trades.
A free resource page with career search and interview materials, templates, and guidance from a career coach.
Why I recommend it: Another coach giving real material away. Take the templates, skip anything that pushes you toward a paid upsell you do not need.
A coach's free resource page with career and leadership guides, templates, and reading recommendations.
Why I recommend it: I keep an eye on what other coaches give away for free. There is usable material here without a call booked or a card entered.
Collection of executive-level resume samples across industries, showing format, length, and how senior accomplishments are framed.
Why I recommend it: Look at these for structure, not wording. Senior resumes lead with scope and results — that is the pattern worth copying.
Official TensorFlow tutorials covering machine-learning fundamentals, computer vision, NLP, and generative AI workflows.
Why I recommend it: A reliable, free path into applied AI if you are ready to move past the headline demos and start building.
Visual gallery and book companion exploring how modern maps, data, and spatial thinking shape understanding.
Why I recommend it: Unexpected source of inspiration for anyone who communicates with data and wants better visual intuition.
Curated entrepreneurship resources, research, and case materials from the Yale School of Management.
Why I recommend it: Academic-quality, freely available materials for anyone serious about entrepreneurship theory and practice.
Personal site and learning resources from Fawad Qureshi on AI, data, and career upskilling.
Why I recommend it: A curated learning page if you are trying to navigate AI upskilling without getting lost in the noise.
The Luma host page for Michael Alexander, who runs recurring AI, tech, and career networking events. Follow the page to see and register for new sessions as they are scheduled.
Why I recommend it: Following an organizer beats hunting for individual events. One follow here and the next few sessions come to you.
Tiffany Teasley taught high school math for 20 years before moving into data science and AI. Her site collects free guides, portfolio project ideas, and mentorship for career changers breaking into data and AI without a computer science degree or connections.
Why I recommend it: She is transparent about spending $21,000 on bootcamps that produced no interviews, which is exactly why I trust her advice about proof over certificates.
Explore a wide range of perfect names and purchase your dream domain instantly.
Why I recommend it: If you are naming a business, side project, or personal brand, a strong domain is part of the first impression. Atom is a clean marketplace for finding available names without the auction drama.
A career site built around the idea that adjacent, "approximate" experience counts — aimed at people whose background does not match a job posting line for line.
Why I recommend it: Almost every career changer I coach underrates the experience they already have. I am still reviewing this one, but the premise is exactly the conversation I have weekly.
Curated open library mapping the organizations, data systems, and policies connecting education, credentials, and employment.
Why I recommend it: This is the map behind the map: who funds and shapes hiring pipelines. Useful if you work in workforce development or want to.
A UK-based creator economy platform and community supporting creators with monetization and brand partnerships.
Why I recommend it: Saved for the UK and Europe-based creators who ask me for options outside the US platforms. I am still verifying what is free here.
A free resource library of job search tips, application guidance, and interview advice from the AreaTalent recruiting platform.
Why I recommend it: Recruiter-side advice, which is exactly the perspective most job seekers never get to hear. Skim the job tips first.
A free resource library from Harvard Law School's Program on Negotiation, with articles and guides on negotiation strategy, conflict resolution, and dealmaking.
Why I recommend it: The deepest free negotiation material I have found anywhere, and it is not limited to salary. Read one article before any offer conversation.
A collection of articles and guidance for people breaking into or advancing in data-focused careers, covering portfolio building, interviews, and skill development.
Why I recommend it: Data roles are a common pivot target, but the path is not always obvious — this site collects practical, experience-backed guidance for making the jump.
Fast Company's annual list of companies and organizations recognized for fostering innovation and creative problem-solving in the workplace.
Why I recommend it: Useful as a research starting point when you want to see which employers are publicly committed to innovation culture — good signal for targeted outreach.
Recruiting tools, interview prep, and 1:1 investment banking mentors for students targeting IB, PE, and elite finance roles.
Why I recommend it: If you are targeting investment banking, private equity, or elite finance roles, StreetSmart gives you structured prep and access to mentors who have actually worked in those rooms.
Ramp's data report using anonymized corporate spending and hiring signals to track where AI is actually changing headcount and job functions.
Why I recommend it: Real transaction data instead of survey guesses. Useful if you want evidence about which roles are shifting rather than opinions.
Daily HR news and analysis publication covering talent acquisition, learning and development, diversity and inclusion, compensation, benefits, and onboarding.
Why I recommend it: Follow this to speak the language of the people reading your resume. Understanding HR priorities helps you frame your experience as a business solution.
Community and resource hub for creatives, entrepreneurs, founders, and wanderers built by Stephanie while working full-time and finishing her MBA.
Why I recommend it: A reminder that side projects and communities can grow while you still have a day job. Follow for founder energy without the quit-your-job-now pressure.
Not-for-profit social enterprise empowering men of all ages and backgrounds to improve employment outcomes through image presentation and career support.
Why I recommend it: The male equivalent of Dress for Success. Great referral for men re-entering the workforce or preparing for interviews without a professional wardrobe.
Global nonprofit that has served over 1.5 million women with workplace attire, coaching, and a continuing network of support to advance economic mobility.
Why I recommend it: The clothes are the entry point; the ongoing coaching and peer network are where the real value lives. Use this if you or someone you coach is re-entering the workforce.
Career coaching and consulting practice offering free 1:1 coaching sessions and a Slack community, with a focus on paying support forward.
Why I recommend it: If you are not ready to hire a coach, start with free communities and single sessions. Test the chemistry before committing to a package.
A creator project documenting how AI-assisted content production is flooding social feeds with low-effort "slop," and what that means for people trying to build a credible online presence.
Why I recommend it: If everyone is publishing the same generated posts, specificity is your advantage. Write about what you actually did last week.
Beginner-friendly electronics tutorials from engineer and YouTube educator AfroTechMods, covering transistors, op-amps, soldering, and circuit debugging in plain language.
Why I recommend it: Great first stop if formal engineering courses lost you. Build one circuit, then go back to the theory.
Free electrical engineering reference library with textbooks, worked examples, technical articles, calculators, and an active forum covering everything from basic DC theory to embedded design.
Why I recommend it: If you are moving toward hardware, robotics, or manufacturing tech, their free textbooks are more useful than most paid courses.
LinkedIn's directory of live and upcoming professional events - webinars, audio rooms, panels, and hiring sessions you can register for and attend from anywhere.
Details: Free events are the cheapest warm introduction there is. Register, show up with one good question, and connect with the speaker the same day while you are fresh in their feed.
Official Bureau of Labor Statistics release on labor productivity, output, hours worked, and unit labor costs across the US economy, updated each quarter.
Why I recommend it: This is the primary source behind most AI-and-productivity headlines. Cite the actual numbers in interviews instead of the news summary.
Spatial intelligence company co-founded by Dr. Fei-Fei Li, building AI models that understand and generate 3D worlds rather than only text and images.
Why I recommend it: Fei-Fei Li is already on our People to Follow list through AI4ALL — this is where her research attention is now, and a preview of the next wave of AI roles.
A running calendar of free and low-cost events for community professionals, run by CMX (powered by Bevy). Sessions cover community strategy, engagement, and career paths in the community industry.
From the site: Advancing the community industry and helping community professionals thrive.
Why I recommend it: Community management is a real career lane that most job seekers overlook. These events are a low-pressure way to meet practitioners and learn the language of the field before you apply.
Free videos from Never Search Alone explaining the Job Search Council method: small peer groups that help you define your ideal role and hold each other accountable through the search.
Why I recommend it: Searching alone is the single biggest reason people stall out. Watch a couple of these, then start or join a council of three or four people. It changes the pace of everything.
Free business library from G2 covering marketing, sales, management, HR, and software selection — practical how-to articles written for people making buying and operating decisions.
From the site: G2's Learn Hub is for marketing, sales, management, HR, technology, software, and all business topics.
Why I recommend it: Good place to get fluent fast in a business function you were just handed. Skim the category hub, not the homepage.
Entrepreneur magazine's Q&A hub where founders and small business owners get answers on starting, funding, marketing, and running a business.
Why I recommend it: Useful when your question is common but you cannot find a straight answer — search before you post.
The state labor department's full library of free New Jersey labor market publications: economic outlooks, employment and industry reports, emerging occupations, business employment dynamics, and monthly labor market updates.
Why I recommend it: Details: Free, current, and specific to New Jersey and the surrounding region. Use it to name real industries and wage ranges in interviews and business plans instead of guessing.
The reference standard for HTML, CSS, JavaScript, and web APIs, with tutorials and learning paths for new developers.
Why I recommend it: Details: free, trustworthy, and employer-recognized. Use the Learn section as a structured curriculum, not just a lookup tool.
Audit university-level courses free, pay only if you want the verified certificate.
Why I recommend it: Harvard's CS50 lives here. Audit first, decide about the certificate later.
Upcoming cybersecurity conference calendar with virtual and in-person events, dates, locations, and registration links.
From the site: Find cybersecurity conferences happening this week. Virtual & in‑person events. Get dates, locations, and last‑minute registration links now.
Why I recommend it: Useful for staying current on security trends and finding networking events if you are pivoting into cybersecurity, tech policy, or IT operations.
Searchable directory of networking groups, job search events, and facilitators by industry, date, and location.
Why I recommend it: Start here when you need people, not another application. Filter by your industry and location, pick two recurring groups, and show up consistently — momentum comes from repetition.
Free webinars and virtual summits from industry practitioners across tech, security, marketing, and business.
Why I recommend it: Free live sessions are an easy way to learn current vocabulary and meet speakers. Ask one question in chat — it is the lowest-friction networking there is.
Official YouTube guidance on when and how creators must disclose AI-generated or altered content.
Why I recommend it: If you use AI in any video, read this once and set your disclosure habit now — retroactive cleanup is far more painful.
Jim Louderback's show and hub covering the creator economy, streaming, and how AI is reshaping media businesses.
Why I recommend it: Start here if you want the strategy side of the creator economy rather than the hype: interviews with operators who actually run media businesses.
Free programs, cloud credits, mentorship, and accelerators for founders.
Why I recommend it: Even without joining an accelerator, the founder playbooks and credits are worth claiming on day one.
Remote, flexible paid work training and evaluating AI models; no formal AI background required.
Why I recommend it: Treat it as bridge income while you search — and as real exposure to how models are evaluated, which interviews well.
Anthropic's security and model-safety reporting program on HackerOne.
Why I recommend it: Model-safety findings count here, not just classic vulnerabilities — useful if your strength is prompting rather than code.
Freelance platform for expert AI trainers across writing, coding, math, and domain specialties.
Why I recommend it: Your niche expertise pays more here than general writing. Apply under the specialty you actually have credentials in.
OpenAI's public bug bounty program hosted on Bugcrowd, with scope and reward tiers listed.
Why I recommend it: Read the scope twice before testing anything. Out-of-scope reports get closed and waste your reputation on the platform.
AI-driven talent marketplace matching professionals to contract and full-time work via interviews.
Why I recommend it: The intake interview is the whole application — do it when you are sharp, not at midnight.
Curated job-search guidance and templates from a UX/DX practitioner, aimed at focused, low-spam applying.
Why I recommend it: Use it as a system, not a reading list: pick one outreach template and send it ten times before judging it.
Searchable list of Techstars accelerator programs by city and industry, with application windows.
Why I recommend it: Sort by program focus, not by prestige. A niche program with the right mentors beats a famous one that does not know your market.
Guides, state-by-state formation walkthroughs, and startup news for first-time founders.
Why I recommend it: Good plain-language reference for the boring formation steps that stall people for weeks.
Research foundations, prior grants, and potential funders by mission and geography.
Why I recommend it: Look up who a foundation funded last year before you write a word of your application.
Crowd-sourced write-ups of real interview loops, questions, and formats by company and role.
Why I recommend it: Read two or three write-ups for your target company before you prep answers. You will know the format going in.
Directory of women's funds and gender-equity funders you can search by region and focus.
Why I recommend it: Use the directory to find local funders instead of competing nationally for the same few grants.
Employer-built job simulations across banking, tech, consulting, and law, all free.
Why I recommend it: Two simulations plus one small real project beats a certificate with nothing behind it.
Open-source guide to designing and scaling large web systems.
Why I recommend it: The standard prep for senior engineering interviews.
Visual learning paths and skill maps for modern engineering and tech roles.
Why I recommend it: Pick one track and finish it — the roadmaps are for focus, not collecting.
Official training on using Gemini across Docs, Sheets, Gmail, and Meet.
Why I recommend it: Learning cross-app AI assembly at work is one of the highest-ROI skills right now.
Curated coding challenges pulled from real big-tech technical interviews.
Why I recommend it: Work a few problems a day rather than cramming the week before.
The web's largest open-source collection of algorithms across many languages.
Why I recommend it: Read the implementations in the language you interview in.
Structured, free computer science study plan for landing engineering roles.
Why I recommend it: A full self-taught CS curriculum, written by someone who did it himself.
Open learning library with a 10-week applied LLM curriculum, 90+ free courses, and 60 AI interview questions.
Why I recommend it: One repo replaces a paid AI bootcamp if you follow the weekly plan.
Webinars and virtual events from Inc. (publisher of the Inc. 5000), aimed at founders scaling a business.
Why I recommend it: Better for growth-stage questions than day-one startup basics.
The largest free library of sample business plans online (500+ by industry), plus templates and planning guides used by universities and SBDCs.
In plain terms: This website offers a large collection of free sample business plans, templates, and guides across hundreds of industries. You can use these real-world examples to write your own plan, forecast your finances, and prepare to pitch lenders.
Why I recommend it: Find a plan in your industry and model the structure — don't copy the numbers.
Free live and on-demand webinars from Entrepreneur magazine covering leadership, growth, marketing, and business finance.
In plain terms: This site offers free live and on-demand webinars focused on starting and growing a business. You can watch presentations to learn about marketing, funding, franchising, and managing company finances.
Why I recommend it: Pick one on-demand session that matches this month's problem instead of browsing everything.
The Ludwig Institute's alternative unemployment measure that counts people who are jobless, underemployed, or earning below a living wage.
In plain terms: A research institute publishes a "true rate of unemployment" that counts anyone jobless, stuck in part-time work, or earning under a living wage. The number is usually far higher than the official rate, which explains why a "strong" job market can still feel impossible.
From the site: LISEP’s mission is to help achieve shared economic prosperity for all Americans, particularly for middle- and low-income families. Our focus is fact-based economic and policy research.
Why I recommend it: When headlines say the job market is strong and your search still feels brutal, this number explains the gap. Useful language for interviews and for your own sanity.
Announcement of Spaces, an extension to the open AT Protocol (the tech behind Bluesky) that supports private, permissioned data.
In plain terms: The team behind Bluesky opened an alpha for Spaces, a way to store private or group-only data on their open protocol. If you build community tools, it is an early look at owning your data instead of renting a platform.
From the site: Atproto Spaces, formerly known as “the permissioned data protocol,” is a new extension to atproto that enables non-public data. The alpha is now officially open.
Why I recommend it: If you build community or product, open protocols are a real alternative to renting an audience from a platform. Worth watching early.
Job search guidance written for workers over 50 — resumes, skills, ageism, and flexible work.
In plain terms: This website provides job search guidance and career tools for workers age 50 and older. You can take online courses to build skills, explore flexible work options, and get advice on handling age discrimination.
Why I recommend it: The advice here assumes a long career instead of apologizing for one.
The largest directory of paid returnships and career-reentry programs, searchable by industry and location.
In plain terms: This directory lists paid return-to-work programs and returnships from employers worldwide. You can filter the opportunities by location and program type to find companies hiring professionals returning to the workforce.
Why I recommend it: If you have been out of the workforce a year or more, a paid returnship gets you a current title on the resume fast.
Anthropic's free course teaching a practical framework for working with AI: delegation, description, discernment, and diligence. Good grounding before you use AI in job search, school, or client work.
In plain terms: This free online course teaches a practical framework for using artificial intelligence tools effectively and responsibly. You can practice prompting techniques, learn how to evaluate AI results, and earn a certificate of completion.
From the site: A free course from Anthropic on the 4D framework for working effectively and responsibly with AI: Delegation, Description, Discernment, and Diligence.
Why I recommend it: This is the fastest way to sound credible about AI in an interview. Take the course, then describe one task you redesigned with AI and what you checked before trusting the output.
NVIDIA's catalog filtered to its free self-paced courses covering AI, deep learning, generative AI, data science, accelerated computing, and CUDA — with certificates of competency on many tracks.
In plain terms: This website offers a collection of free, self-paced online classes in artificial intelligence, data science, and computing. You can take lessons to build new technical skills and earn certificates to share with employers.
From the site: Browse NVIDIA self-paced and instructor-led training, including free courses in AI, deep learning, generative AI, data science, and accelerated computing.
Why I recommend it: Start with a free intro course and put it on your resume under a "Continued Learning" section. Hiring managers notice vendor-name training, and NVIDIA carries weight in AI and data roles.
MIT's resume guidance with samples by field, plus advice on translating technical projects and research into recruiter-readable bullets.
In plain terms: This guide from MIT outlines five practical steps for creating a clear, well-structured resume. You can use it to format your document, write strong bullet points about your accomplishments, and tailor your experience to specific job descriptions.
From the site: Five steps to writing a great resume. Your resume provides an overview of your experience and is often an employer's first impression of you.
Why I recommend it: Especially useful if your experience is projects and coursework rather than job titles.
UC Davis' resume walkthrough — building sections from scratch, describing experience with results, and adapting materials per role.
In plain terms: This guide shows you how to create a resume step by step. You can learn how to write each section, describe your work using results, and tailor your materials for specific jobs.
Stanford's full career resource hub — resume and cover letter handouts, interview prep, and industry guides, all free to the public.
In plain terms: This collection offers free guides, templates, and tools for every stage of the job search. You can use it to build your resume, write cover letters, explore different careers, and practice for upcoming interviews.
From the site: We have gathered a list of our favorite online career resources in one place. Whether you're exploring your career options, preparing to apply for jobs, or seeking to maximize your experience, you'll find valuable resources below to help you succeed.
Michigan's Career Center resume article — samples, section-by-section guidance, and tailoring advice for different industries.
In plain terms: This guide offers resume samples and step-by-step advice for writing each section. You can use it to build a clean resume and tailor your experience to specific industries.
Paid micro-internships — short freelance projects posted by companies, open to students and recent grads.
In plain terms: This platform connects students and job seekers with paid, short-term freelance projects at real companies. You can apply for flexible, mostly remote assignments to gain hands-on work experience and build your resume.
From the site: Parker Dewey connects college students and recent grads with paid, short-term projects at real companies. Browse open projects and apply free.
Why I recommend it: Treat each project as an audition. Several of these turn into referrals or full offers.
Course platform with certificates from universities and companies, including free audit options.
In plain terms: This online learning platform offers courses, professional certificates, and degrees taught by top universities and companies. You can build career skills in areas like data analytics, IT, and business, with free options to audit classes.
From the site: Learn job-ready skills with online courses, Professional Certificates, Specializations, and degrees from Google, Meta, Stanford, and more.
Why I recommend it: Pick one certificate and finish it. A half-finished pile of courses does nothing for your resume.
Free virtual job simulations from major employers that show you what the work actually looks like.
In plain terms: This platform offers free, self-paced virtual job simulations created by top employers. You can complete realistic workplace tasks, explore different careers, and earn certificates to add to your resume.
From the site: Use Forage job simulations to build skills and learn about roles in data, engineering, investment banking and more at companies like JPMorgan, BCG, and Red Bull.
Why I recommend it: Finish one and name it in your interview. It shows initiative and gives you specifics to talk about.
Short, structured remote projects with real companies that give you portfolio work and a reference.
In plain terms: This website offers short, remote projects with real companies across fields like marketing, finance, and data analysis. You can apply to complete structured work, build samples for your portfolio, and gain practical experience.
From the site: Gain professional experience through externship opportunities with companies like Meta, PwC, Pfizer, National Geographic, Snapchat, Cargill and HP.
Why I recommend it: No experience is the hardest wall to climb. An externship gives you something concrete to put on the resume.
The official documentation and tutorials for Python's core machine learning library.
In plain terms: This website provides official guides and examples for a popular Python machine learning library. You can use it to learn data analysis, sort information, and build predictive models to build your technical skills.
Why I recommend it: If you say data science on your resume, you should be able to work through these examples.
Real, crowd-sourced compensation data so you negotiate with numbers, not nerves.
In plain terms: This website provides salary and benefits data across different companies, job titles, and career levels. You can compare compensation numbers and research pay to help negotiate your next job offer.
From the site: Search 1M+ data points for different companies, job titles, career levels, and locations. Explore our tools to help you get paid more!
Why I recommend it: Bring a range, not a single number, and anchor it to this data.
Clean, ATS-friendly resume templates you can edit in your browser for free.
Why I recommend it: Pick the simplest one. Fancy columns confuse applicant tracking systems.
Free skill-building courses and certificate prep from Google.
In plain terms: This website offers flexible online training and certificate programs in fields like IT, data analytics, and cybersecurity. You can take self-paced courses to learn practical AI skills, prepare for interviews, and qualify for entry-level jobs.
From the site: Grow your career or business and gain essential AI Skills with Google Career Certificates or other online courses and trainings from Grow with Google.
Why I recommend it: A low-risk way to test whether a new field actually interests you.
