Last month, my girlfriend and I sat in our den reading a report out loud to each other, line by line, with our jaws on the floor. It was breaking down our relationship dynamics with surgical precision — why we fight about the things we fight about, our blind spots, and how our personalities interact. The crazy part? It came from a personality test I built. I asked ChatGPT: "What information would you need to become the ultimate personalized relationship coach?" It gave me a list of 28 research-backed assessments — Big Five personality, attachment styles, ADHD screening, anxiety, trauma, values, and more. They were all online but scattered across clunky PDFs. As someone with ADHD, doing them one by one was torture. So I combined them into a single test that takes under an hour. 5,000+ people have now taken it. Here's what's happened: 💬 One woman said it was “spectacularly transformational” for her and her brother — it brought them closer than ever through vulnerable conversations they’d never had before. 💑 271 couples have done the comparison report together. It predicts your top 5 most likely fights and gives resolution tips. 📊 31% of users flagged on at least one Dark Triad trait 👀 42% showed minimal depression. But 22% showed moderate to severe — this tool is finding people who need help. 🧠 All my entrepreneur friends keep finding out they have ADHD 😂 It's called Deep Personality. We launched on Product Hunt today and I'd love your support 🙏 (It's #4 on the homepage, I'd really appreciate an upvote!) It costs less than a single therapy session and it might blow your mind.
Why does it feel like new models get incredibly hyped at their launch, but then a few weeks later, they're now "trash"? I've been thinking about this a lot and many things can be true at the same time. I'll give you my most optimistic & pessimistic takes. Let's start positive. When new models come out, especially those that are state of the art (SOTA), they are genuinely incredible to try and use. Things that the prior generation of models sucked at... new models sometimes completely solve/fix! This can feel like a massive unlock for building software, knowledge work, research, data analysis, etc. One new model we've been testing is incredibly good at making accurate SQL queries, seemingly better than any other model we've tried. This is exciting! And it makes sense people then share those opinions here. Okay, more pessimistic. For better or for worse, people are incentivized to share colorful takes on pretty much anything. Some of these folks are relying on those X creator payouts for side cash. The views literally convert to dollars! This can create... tension. It's hard to tell when a take is honest and genuine, versus sensationalized for Elon bucks. (Side note: the "paid partnership" labels on tweets are a step in the right direction, although I don't think they really solve this inherent issue with creator payouts, as it's not a direct payment from company → creator) So there's lots of hype when new models drop. We see benchmarks where numbers usually go up and to the right, but it's hard to tell if that actually translates to better performance on the things we care about. The only way to really know is to try it, tinker, build things... but that takes time to do correctly, which is why the best takes on models are often a little delayed while people really "taste test" them. There's another angle here that makes it hard to understand hype/hate, which is that these models all have their own personalities/style/quirks. One person might love the verbosity and warmth of a model, while someone else completely hates it. At least for coding, it does seem like Codex/Opus/etc are converging to a similar style, but they are definitely still different (and people feel strongly about those differences!). So people use the latest frontier models for weeks to a month, but then you notice that the tides may turn online. Opus was the best model in the world, and now people think it's dumb/slow/bad. Rinse and repeat for Codex or other models. It's helpful to remember that most people are busy happily building/shipping at this point! Sometimes this feeling of model degradation is due to an actual issue! Maybe there was an inference bug, or provider downtime, or small updates/tweaks. The model checkpoints can change. However I would argue this is not the majority case. The best explanation for this, to me, is "hedonic adaptation". You quickly can get used to an improvement, so that what previously felt amazing and innovative now feels like your new baseline. Then it's no longer new/sexy. This is just how our brains are wired and not really specific to AI models. The best way to combat it is to be aware of your own biases. So... what should you do to make sense of all the takes on this site? 1. Try to read lots of opinions, not just official posts, but those from a variety of people using the models for things *you're interested in* 2. Listen and take note of opinions, but make sure you're forming your own opinions based on your usage/tinkering/experimentation 3. Remember to be skeptical of sensationalized posts about new models (it's so over / we're so back cycle)
For $5,000 worth of Claude Code credits, I vibe coded something that replaces tens of thousands of dollars of psychological evaluations. Let me explain... Last month, my girlfriend and I sat in our den with our jaws on the floor… We were in front of my laptop, taking turns reading a report out loud, line by line. The document read like a CIA dossier—incisively breaking down each of our repeated fights and nailing our relationship dynamics. We had to laugh. We couldn’t believe it. A few days earlier, I’d asked ChatGPT a simple but loaded question: “What information would you need in order to become the ultimate personalized relationship coach?” It replied with a long list of personality tests—the same ones psychologists use to evaluate mental health, personality, and relationship satisfaction. The tests were all available online, but scattered across annoying PDFs and awkward, old-school forms. For someone with ADHD, like me, the idea of doing them one by one was pure torture. I just wanted to pound through them as one big test. So I asked Claude Code to build a simple app that combined them. I listed all the tests I wanted and asked it to build a web app that would. I’d done some vibe coding last year with tools like Replit and Lovable, but nothing prepared me for how good Claude Code has become. Within a few hours, I had a beautiful web app that combined all of these tests into one. When I say beautiful, I mean it looked like I employed a $50,000-a-month payroll of talented designers and engineers who’d spent two months working on it. Except I didn’t have a $50,000-a-month payroll. I’d paid Claude around $500 in AI credits — and what would normally take months had taken hours. Crazier yet, I’d just talked to it like it was a human employee. Once a beta version was ready, we completed our tests and exported our results into ChatGPT—no names, no context—and asked: “Based on this couple’s psychological test results, tell me as much as you can about their relationship.” That’s how we ended up in our kitchen, in shock, as ChatGPT broke down our relationship patterns with eerie precision. How my ADHD makes me want quick resolution, while Zoe needs to talk things through. How her high openness craves novelty, while I’m a stick-in-the-mud who craves routine. How my avoidance causes me to pull away and shut down when I’m stressed. It felt like a report written by a world-class therapist who’d spent dozens of multi-hour sessions carefully dissecting our dynamic and suggesting remedies. It told us where we were most compatible, and where we’d struggle if we didn’t put in the work. It even wrote personal deep dives on each of us, our personalities, and our individual gifts and challenges. And it knew all of this from 45 minutes of multiple-choice questions. I started thinking about friends who’d never been to therapy, or couldn’t afford anything like this, and how much it could help them. That’s when I realized this was a business. Something that would solve a valuable problem for a lot of people. So I got to work. For the last month, I’ve been jolting out of bed at 5:30 a.m., too excited to sleep, obsessively building this product. And today, I’m excited to launch Deep Personality. I think it’s one of the most comprehensive mental-health screening tools on the internet. It’s not a replacement for professional help, but a roadmap to it. Most people stumble blindly into a random therapist or doctor’s office without knowing what type of treatment they are even trained in or its efficacy for their specific problems. Deep Personality will screen you across 30+ mental health conditions and provide you with a detailed roadmap of how to get the help you need. In under an hour, it gives you a high-signal snapshot of your mental health across dozens of dimensions: Big Five Personality The gold standard for understanding why you do what you do. Attachment Styles The hidden patterns behind pushing people away, clinging too tightly, or choosing unavailable partners. Anxiety & Depression Screens for what you might be dismissing as “just stress.” Relationship Satisfaction Measures the real health of your relationship — often surfacing problems you’ve been avoiding. Sensory Processing Why crowded rooms drain you — or why you need things just so to focus. Neurodivergence Flags potential ADHD and autism-spectrum traits that often go undiagnosed into adulthood. Trauma Maps early experiences shaping your triggers and stress responses. Values & Career Fit Shows what actually motivates you, and why some work quietly drains your soul. You can do this individually, or compare yourself to anyone in your life. This is where it gets really interesting… Have your partner, coworker, friend, or family member take the assessment, upload their profile, and wait while the app analyzes your personalities and how they interact with one another. For romantic relationships, it analyzes attachment compatibility, conflict styles, emotional regulation, and values alignment — telling you exactly where you’ll clash and what to do about it. For work relationships, it focuses on communication, motivation, and how you’ll collaborate — or blow up under pressure. For friendships, it looks at shared values, social energy, and the dynamics that help relationships thrive (or quietly fade). For Zoe and me, having our relationship laid out with this kind of clarity — patterns we’d felt but never articulated — was deeply meaningful. Once you complete the assessment, you get a 50+ page deep dive on your personality. It felt like finally getting the owner’s manual for myself. You also get a custom AI prompt pre-loaded with your psychological data. Drop it into ChatGPT, Claude, or any AI assistant — and you have a therapist who already knows your attachment style, anxiety patterns, values, trauma history, and emotional regulation tendencies. No more spending six therapy sessions explaining who you are. The AI already gets it. And if you’re in therapy, or going to start with a new therapist, you can also export a clinical PDF designed for practitioners—raw scores, thresholds, severity flags, discussion points, and citations. Or… it can help you attract your perfect romantic partner. This one’s just fun. Deep Personality can generate dating bios based on your actual personality data — tailored to Hinge, Bumble, or Tinder — in tones like witty, sincere, adventurous, or intellectual. The AI turns what makes you unique into something that attracts compatible people. Once it knows you, it helps you get the help you need. Based on your results, it recommends books, podcasts, and treatment options backed by peer-reviewed research. The full assessment covers 30+ psychological screens and 300+ questions, and it costs a fraction of a single therapy session (free for the basic analysis, $19 for the full report, $29 for a couples comparison). It’s really crazy and I think it's going to help a lot of people. Who is this for? • High achievers who want to understand their edge • People who feel stuck and don’t know why • Curious minds who want real data • Pattern repeaters, same story — different chapter • Anyone who wants better relationships I’d love it if you’d try it and send me your thoughts! 👉 Click here to check it out:
When a team is underperforming, most people's first instinct is to blame the people. That's almost always wrong. After 20+ years at @Meta, @Google, and @CZI — and advising leaders at @Stripe, @AnthropicAI, @OpenAI, and more — @molly_g has learned that blaming people for structural problems is one of the biggest leadership traps there is. In her powerful guest post, she shares a simple diagnostic tool she's used since leading wilderness expeditions in Patagonia at age 22: the Waterline Model. The Waterline Model helps you answer one question: What's going on below the surface that's making things harder than they should be? In other words, "snorkel before you scuba." Read it here (and share it with your manager): https://lennysnewsletter.com/p/how-to-de…
Woo! My crazy personality test, Deep Personality, just hit #11 on @ProductHunt. Upvotes appreciated, nerds!
Peterson's concept of The Meaningful Burden helped me see why open source is such a rewarding work. Even as we grimace from the load and the ungrateful. Don't wish for the responsibility to be lighter, strive to become stronger. https://world.hey.com/dhh/the-responsibi…
The responsibility is the reward
