... been saying AI should adapt to you since day one; this is what that looks like as a product. And frankly, a capybara has the right temperament for the job: unbothered, takes the task, does it, puts the result back where it belongs, and tells you what it did on the way out. Here are five days at the office. Example 1: A reading list that annotates itself (Notion) Everyone's Notion has a "books to read someday" table ... ... sign-in Happycapy sees only the pages you allow. It works in the open: thinking time, steps completed, which tool it's on reported as it runs. You go refill your water. By the time you're back

... still got it wrong . To everyone who upvoted and supported us along the way: it meant more than you ll know. I hope some of our lessons help you get further than we did... Three lessons I keep coming back to First, the lessons, in case you churn before reaching the timeline. 1. Simple and obvious is good. Hard to replicate is better. Ting always felt obvious to me. Why wouldn t you want to CC an AI into ... ... where mistakes and losses are discussed and owned quickly. You ll find a new speed. You can never go wrong reporting the truth. You can go very wrong reporting an abstraction. The 18-month timeline January 2025 I got back

... code review is up 441.5%. If you're a solo maker, you are the review queue and you quietly stopped showing up for the shift. There's a report that came out this spring that I keep coming back to, and I don't think it landed properly with makers because it's written for engineering leaders at big companies. Faros AI published "The Acceleration Whiplash" in April two years of telemetry from 22,000 developers across more than ... ... Teams with mature practices and good DORA scores showed the same downstream deterioration as everyone else. Their read on why surveys say otherwise is sharp developers feel more productive because individually they are. Perception lags reality. The queue backing

... deal with a growing problem: AI-generated assets are created everywhere, but the final design work still needs to live in Figma. We're exploring a workflow where outputs from different AI tools can be automatically organized and pushed back into Figma, reducing manual copy-paste and file management. I'm curious: Are you using multiple AI design tools today? How much time is spent moving assets back

... Stanford study in Science found AI affirms people about 49% more than other humans do and the people getting flattered trust it more, come back more, and quietly get worse at being right. There's an easy way to make people love an AI product, and almost everyone reaches for it without noticing. You make it agree with them. Not obviously you'd never ship a bot that just says "you're right." You ship one that's warm, validating ... ... maker. The same study ran the experiment on the other side 2,400 people talking to sycophantic and non-sycophantic versions. The people getting the flattery rated it more trustworthy and said they were more likely to come back

... quad (both always present, normalized 0 1000), verified, review, and the raw evidence behind that verdict. review is the summary: declared, returned, boxed, verified, flagged[], by_reason. image is the source size, for turning the normalized boxes back into pixels. Full shape with a worked example: https://space-ocr.com/docs#post-... The reason is that the old shape put my keys and your keys in the same object. Every value you asked for sat at the top level next to field_bboxes ... ... migrate what is stored. The new shape is built at the serving boundary by one pure function with its own tests, and stored results are converted as they are read which means results from before the change come back

... Every business I have run had a version of this. A lead who asked a good question and never heard back from me. A client who mentioned something felt off during a slow week, and I told myself I would circle back

... wear survives better than I thought scuffs, paint marks, a dent all came through on the things I tested. what a single photo genuinely cannot give you is the parts of the object it never saw. the back is inferred, not captured, and on anything with a genuinely different back

... across 19 different companies in DTC and SaaS. If a subscription business keeps just 5% more of its customers, profits jump somewhere between 25% and 95% . That single stat pulled me into retention work years ago. I never got back out. Here's what those years taught me : most churn isn't a product problem. It's an operations problem. The right message usually existed. It just fired at the wrong time, or reached the wrong persor, or never went ... ... because someone would have had to send it by hand. Every day. Forever. Two more numbers , so you can see the size of it. A generic "we miss you" email wins back

... record is what tells you the same wrong source was used forty other times, which is the actual damage and the only thing that lets you go back and fix it. It also answers what Asad said above, since the ones nobody complains about are only findable that way. So the question back

... optimize an emotional product for time-in-app, you will build something that makes people slightly worse and your metrics slightly better. The incentives are pointed the wrong way by default. So here's the principle I keep coming back to, and the one I think outlasts every new rule that gets written: the goal of emotional AI should be to make itself less necessary over time. That sounds like heresy in a category obsessed with DAUs ... ... inside your app if they can only feel understood while they're talking to your model you haven't solved loneliness. You've made it more comfortable to stay lonely. You've built a very sophisticated waiting room. The alternative

... Product Hunt(ers) We launched Collabwriting for Teams here in 2024, hit #1 Product of the Day, and then went quiet. We went heads-down to build, and told ourselves we'd come back when we had something worth saying. Two years later, here we are. Back

... accordingly, and that has nothing to do with whether the thing is any good. On the payments point I'd push back a little. Payments prove someone will pay, but plenty of products worth launching are free and stay free. The thing I'd actually want before launching is evidence that someone who isn't me came back

... free hosting of InfinityFree.com . Free account has some technical limitation but provider provides premium package for $7 / month. The limitation of free account is bandwidth, JavaScript injection. So I make a util functions to get web results from back-end. When I move to later steps, I can buy premium account, then change util functions only, and the site will run faster without any limitation any more. Bridge: o HTTP tunel which help I publish back

... been missed. It wasn't even a hard case, the file just wasn't in the directory it happened to grep first. What was your moment? And did it actually change your workflow afterward, or did the trust creep back in after a week like it always seems to for me? Comment from Alex Gidirim(@alex_gidirim): Mine is the same pattern as the 13th file, an agent reporting success with identical confidence whether it checked everything or almost nothing ... ... actually stuck for me is asking for a short list of what it didn't check alongside what it did, since a confidence score gets ignored fast but a concrete gap is hard to wave away. The trust creeping back

... actually saw it. Views, not responses. It's the cheapest test there is, and it decides whether the silence means anything at all. On the 20 - I'd care less about the count and more about whether anyone comes back without you reminding them. One person opening it a second time on their own is worth more than ten polite "nice tool" replies, because the polite reply is free and the return visit isn't. Comment from Abusaid islam said ... ... that says your segment is too broad, not your sample too small. Comment from Ambar Singh(@alexbieber12341): There's no magic number for us, it was less about hitting 100 or 1000 users and more about seeing people come back

... obsessed with a weird edge case: cruise ports. You get off the ship at 8am, you're back on by 4pm, and if you're late the ship leaves without you. No other kind of travel has that hard a deadline. Most people either pay for a scripted ship excursion or wing it and hope they judged the walk back

... years of working closely with insights teams across CPG, BFSI, and tech has given us a consistent observation: the transcript is where researchers start, but the recording is where they go when the transcript isn't enough. They go back to hear how someone said something. To check whether the pause before an answer was genuine uncertainty or just thinking time. To see whether the person's expression changed when they described a feature they claimed to like. To catch ... ... give researchers a way to find the right moments faster. I'm genuinely curious: what's the signal you find yourself wishing you had after you've finished going through a set of interviews? What consistently drives you back

... Product Hunt! Two weeks ago, this community helped us finish #4 Product of the Day and we wanted to come back and show you what that support turned into. First, a genuine thank you: our entire initial set of customers came from Product Hunt. It's honestly been a game changer for us. The numbers Since launch day, our active users have roughly doubled and it's all organic. No paid ads, no growth hacks. Just people finding value ... ... sticking around. Full transparency: right after launch, we hit a few major bugs that caused a dip in engagement. The good news : we fixed them quickly and our weekly retention bounced back

... cleanup pass of my UI to make the code shareable, I watched the AI perform a sequence that felt like a coordinated attack. Connected over Ngrok, it bypassed my safeguards: it rapidly overwrote both of my auto-restore points back-to-back

... Sends the translation to a qualified human translator. The job pauses on a webhook until the edit returns. Post-localization AI review .  Reconciles the human output against the engine's  glossary ,  brand voice , and  instructions . Back-translation check .  Translates the final output back

... sharing! Comment from Anna Ludwinowski(@anna_ludwinowski): @austinbuhl  Interesting that you land on problem-first for Salestrics but demo-first as a viewer. Do you think there's a difference between what convinces you to look closer versus what you'd actually put in your own launch copy? And on "most startups" - is there a specific kind of team you picture hitting that per-seat pricing wall, or is it genuinely everyone past a certain size? Comment from Anna ... ... more than any UI polish did. So yeah, I d say naming the problem is the actual unlock. The demo just has to not get in the way of it. Comment from Viraj Parab(@viraj_parab): StartupHQ to organize competitor

... with everything else you already do: the sort cycle (s) reorders only the rest, and the / filter narrows both sections at once. The set is saved to your config under pinned_issues, so the next launch brings them right back press P again to unpin , and a pinned issue that gets closed just stops showing. Small thing, but if you're tracking a few issues across different repos that you keep scrolling back

... launched Heywa on PH back in March. It was great fun, but I'll be honest, we didn't come back

... decisions that mattered, the kind where you can't stop circling the same thought from six different angles. I didn't need more advice. I needed somewhere to say the thing out loud and hear it back clearly enough to know what I actually thought. I was already using LLMs daily, including to help build Hayley. But in those specific moments of confusion or circling, they never quite gave me what I needed. Too much advice, not enough reflection ... ... didn't want answers, I wanted to hear my own thinking back