The Prohuman

If you're building a SaaS in 2026, bookmark this immediately. These 10 resources let you study how successful companies acquire customers, design interfaces, optimize conversions, and monetize. 1. Growth. Design/ growth.design Learn why popular products are so addictive through visual case studies that break down their UX, psychology, and design decisions. 2. Page Flows / pageflows.com Watch how successful apps handle onboarding, signups, and checkout flows so you can improve your own user experience. 3. Mobbin / mobbin.com Explore real screens from thousands of apps and see how top products design dashboards, paywalls, and other important features. 4. Really Good Emails / reallygoodemails.com See how companies write welcome emails, product launches, and promotional campaigns so you can improve your email marketing. 5. GoodUI / goodui.org Study real A/B tests to learn which design changes improve conversions and which ones actually make things worse. 6. Marketing Examples/ marketingexamples.com Learn practical marketing tactics from real companies, with examples of landing pages, copywriting, ads, and customer acquisition. 7. Demand Curve/ demandcurve.com Get practical growth advice on finding customers, running ads, improving landing pages, and scaling your SaaS. 8. First Round Review / review.firstround.com Learn directly from experienced founders and operators about finding product-market fit, growing teams, and building successful startups. 9. Lenny's Newsletter / lennysnewsletter.com Get actionable lessons on product strategy, growth, retention, and building products people actually want to use. 10. SaaS Pricing Page Teardowns / compttr.com/en/blog/saas-pri… Break down how SaaS companies structure pricing tiers, package features, and position their plans to turn visitors into paying customers. The best founders don't copy products blindly. They study what works, understand WHY it works, and use those lessons to build something better. Save this for your next SaaS project.

Most people suck at finding remote jobs online. But not anymore. Here're 12 free websites to get a remote job easily: 1. jobscan - resume optimization jobscan.co 2. teal - resume and application tracker tealhq.com 3. simplify - job search and autofill simplify.jobs 4. linkedin jobs - find hiring companies linkedin.com/jobs/ 5. wellfound - startup job opportunities wellfound.com/jobs 6. we work remotely - remote job listings weworkremotely.com 7. the muse - career and interview advice themuse.com 8. freecodecamp - free coding certifications freecodecamp.org 9. microsoft learn - free technical training learn.microsoft.com/training… 10. github pages - host your portfolio pages.github.com 11. contra - find freelance opportunities contra.com 12. levels. fyi - research salary ranges levels.fyi Some offer paid upgrades, but you can get started without paying. Bookmark this before you need it. Send it to someone looking for work.

Every AI CEO has a prediction about how many jobs AI is about to vaporize. Then Stanford looks at the labor data and finds the picture is a hell of a lot messier. The unemployment rate among the most AI-exposed workers rose 0.77 percentage points since 2022. Among the least-exposed workers? It rose 0.85 points. So no, the data doesn’t show AI has already bulldozed the whole job market. But don’t use that as an excuse to tell recent grads they’re imagining it. Their unemployment rate hit 5.6% in early 2026, and AI may be making some entry-level jobs harder to land. The problem is that higher interest rates, pandemic over-hiring, and other factors are tangled up in the same mess. The apocalypse headlines are ahead of the evidence. The job-market pressure is real. Both things can be true.

Elon Musk Says AI Will Make Everyone Rich. SO WHO PAYS YOU? youtu.be/x_MF5xc9Q94?si=Ft0N…

The United States just created an entire military command for autonomous warfare. I don't think people understand how big this is. Yesterday, the Pentagon announced something called Autonomous Warfare Command. AutoWarCom. It is a new military command designed around drones, robotics, autonomy and AI. And it tells you where the Pentagon thinks war is going. For most of military history, the expensive part of warfare was the weapon. So militaries built small numbers of extremely expensive systems and protected them. Autonomous warfare starts breaking that equation. Instead of one $100 million aircraft with a pilot inside it, imagine hundreds or thousands of cheaper machines. They would be able to fly, crawl, watch, identify targets, jam communications, and coordinate with each other. And increasingly, AI becomes the layer connecting all of them. The Wall Street Journal reports the Pentagon is planning roughly $74 billion in drone and counter-drone spending. There is also Project Meridian, an effort looking at how America should fight future wars, with people including Elon Musk, Palmer Luckey and Newt Gingrich involved in discussions. But the part I keep coming back to is the timing. 7 months ago, two American Tomahawk missiles hit an elementary school in Minab, Iran. Bloomberg later reported that Palantir's Maven AI targeting system had helped surface the location using intelligence that included years-old imagery. 156 people died. At least 123 were children. The Pentagon knew within hours that it had hit a school. That disaster should make one question unavoidable as America races toward autonomous warfare: What exactly are we automating? Because autonomy does not just mean a drone that can fly without a pilot. The really consequential autonomy sits upstream. > Finding. > Classifying. > Tracking. > Prioritizing. > Recommending. > Coordinating. Deciding what deserves human attention. If AI performs all of those steps and a human only approves the final recommendation, technically there is still a human in the loop. But practically, the machine has shaped almost everything the human sees. And now the Pentagon isn't treating this as an experiment anymore. It has created an organizational structure around it. I understand why. China is building drones. Russia is using increasingly sophisticated unmanned systems. Ukraine has turned drone warfare into one of the biggest military lessons of this decade. No serious military can simply pretend autonomy isn't happening. But there is a terrifying difference between adopting a technology and reorganizing warfare around its speed. Because once thousands of autonomous systems are operating simultaneously, human attention becomes the scarce resource. And that may be the real problem nobody has solved. We know how to build machines that make decisions faster. We still don't know how to make humans meaningfully responsible for decisions happening faster than humans can think. AutoWarCom may turn out to be one of the most important military organizations America creates this decade. Not because robots suddenly replace soldiers tomorrow. But because it formalizes something much bigger: Autonomous warfare is no longer a future the Pentagon is preparing to discuss. It is a future the Pentagon is preparing to command.

Companies spent up to $40 billion on AI and MIT found 95% of them got zero measurable return, yet workers at over 90% of those same companies were using AI every day anyway, most of them hiding it from their boss. Both things are true. And that gap explains why so many smart people hate AI right now. AI was supposed to be the washing machine for your brain. One boring chore, gone. Then the salesmen took over. One CEO said AI could wipe out half of entry-level office jobs. Google put AI answers on your search with no off switch, and early on it told people to put glue on pizza. At work, Stanford researchers found 40% of desk workers got useless AI "workslop" in a single month. Each one took almost two hours to clean up. Coders in one study were 19% slower with AI. They swore it made them 20% faster. Bots now make up 53% of web traffic. Humans are the minority online. So I made a 4 minutes and 44 seconds video on the question nobody selling AI wants to answer. Why do we even have AI? No sponsor. Just the real numbers, and exactly where you should use it and where you should never touch it. Watch it below.

In 2021, Americans under 30 were the most excited people in the country about AI. Pew just asked them again. 55% of them now say AI worries them more than it excites them. Five years ago it was 31%. The ones who feel more excited than worried dropped from 1 in 4 to about 1 in 10. Honestly, I wasn't surprised. I've been hearing this in person for months. I've sat with students who are convinced AI won't let them get a job. Not a good job. Any job. They say it the way you'd talk about the weather, like it's already decided. The professors I talked to see it from the other side. A few told me flat out they think students aren't as sharp as they were before AI, because now they just prompt a chatbot and paste whatever comes back. So when graduation season came around this year, the booing made total sense to me. In May, Eric Schmidt gave the commencement speech at the University of Arizona, and the moment the former Google CEO brought up AI, the graduates started booing him. He pushed through his lines anyway. At the University of Central Florida, a business executive told humanities graduates AI was "the next industrial revolution," and the crowd shouted her down. My favorite one was Glendale Community College in Arizona. They let software read out the graduates' names on stage. It mixed them up and skipped some completely, and when the college president admitted a new AI system was doing the reading, the whole room turned on her. (Can you blame them?) Pew surveyed 3,488 American adults in June, and the job numbers are where it really shows. 73% of adults under 30 believe AI will leave America with fewer jobs over the next 20 years. Two years ago, 61% said that. Only 5% of all adults expect AI to create more jobs. That's funny to me, because the economists keep landing somewhere else. The Economist estimated AI has added around a million American jobs while cutting roughly 200,000. Apollo's chief economist Torsten Slok has argued AI is adding jobs rather than destroying them. I'm living the economists' version. I built my agencies The Prohuman AI and Sentient Agency using AI, and we scaled because of it. Work that would've needed a much bigger team, we just did. So I get why a 22-year-old is scared. I just think they're scared of the wrong thing. A lot of the new jobs are real but they don't look like the old ones. Some are electricians wiring data centers. Some are people like me who figured out how to make these tools do actual work. None of them were handed to anyone. To be fair, this survey measures how people feel, not what happens to their paychecks. And they aren't even the most worried group. Adults 65 and older sit a little higher at 59%. The difference is the young were supposed to be the optimists, and they aren't anymore. What I'd tell every student I met is simple. Stop asking if AI will take your job and start learning what it can't do without you, because that's where the jobs in this era are going. Silicon Valley bet the kids would grow up loving AI. They grew up, and this spring they booed it at their own graduation.

Ok, this is ridiculous. $140M ARR in 90 days, and someone still remaps 300 payroll spreadsheets by hand. Someone built an agent that learns the file prep from one recording. This deserves more attention.

okay you NEED to see this... Qwen just dropped an open-source AI that can generate AND edit 2K images but that's not even the crazy part... You can give it up to 10 reference images and bring them together in one scene. Qwen-Image-2.1 can also: 1. Turn separate portraits into a group photo. 2. Combine clothes, shoes, and accessories into one outfit. 3. Edit specific areas you circle. 4. Generate transparent backgrounds. 5. Create posters with detailed text. Imagine taking your product photo, a model, and an outfit, then describing the shot you want. The weights are available now. ComfyUI already supports it. github.com/qwenlm/qwen-image…

holy shit.. someone put BBC News inside the terminal It’s called bbcli. it lets you browse headlines, switch feeds, open articles and read the full news without leaving your terminal it even has Vim controls + images this is how hackers read the news: Open it and you get BBC headlines streaming directly inside your terminal. You can jump between different BBC feeds, browse stories and open full articles without ever touching your mouse. And because it uses Vim-style navigation, everything is controlled from your keyboard. > j/k to move through stories > Enter to open an article > switch between news feeds > browse article images > read the full story inside your terminal It also automatically refreshes headlines in the background, so new stories appear while you’re using it. There’s offline caching too, meaning previously loaded content stays accessible even when your connection disappears. And the whole thing is open source. One command and your terminal basically becomes BBC News. (and yes, i hate their generic ass website. this is how i read now.) link: github. com/hako/bbcli

This is going to help builders a lot. The next great AI company may not train its own model. It may combine the best open models, tools, and infrastructure into one product people actually need. That is why programs like this matter. The pieces already exist. Builders just need cheaper access and help connecting them.

OpenAI’s 120B model just lost to a model small enough to run locally on consumer hardware. TwiL-LM3 has only 3B parameters. It beat GPT-OSS-120B on 4 of 5 formal-logic tests run by webAI. The AI industry may have confused size with intelligence.