... Real-Time Option Chain: A full ladder featuring live Greeks (Delta/Theta) and instant Market Sentiment Buildup (Fresh Longs, Short Covering, etc.). Probability Ranges: Exact 1SD (68%) and 2SD (95%) expected move ranges calculated instantly. Strategy Sandbox: Build complex strategies (Iron Condors, Straddles) with one click and map them on a Live Payoff Graph before you deploy a single dollar. We are bringing the this quant desk to the retail couch on our platform soon. If anyone is a derivatives trader ...

... noticed walking among several founders who also have a fairly sedentary job at a PC when they develop at least 7 hours of sleep a bar of dark chocolate (it contains quite a few important nutrients  zinc, iron etc.) Is there anything interesting in your repertoire that improves your performance? It could be completely "negligible" hacks. Comment from Alex Gidirim(@alex_gidirim): Mine is less a hack and more a rule: I treat energy as a budget ...

... doing and the rationale behind each decision - be it mobile apps, Slack integration, or white labeling. Every time someone asks for one of those features, we just direct him to the explanation instead of going over the same ground. Ironically enough, being explicit about what not to do somehow led to our projects being completed faster. Wonder if anyone out there ever tried an approach like this instead of a regular roadmap and how well it worked after team grew ...

... reduce reach for content that 'sounds the same.' This got me curious I use AI for drafting but always rewrite the hook myself. Have any of you actually seen a drop in reach when using AI drafts vs. writing from scratch? Would love to hear real experiences, not just theories. What's worked for you?" Comment from Nika(@busmark_w_nika): @sumonmatrix  There is overuse of "actually" too. Comment from Sumon Khan(@sumonmatrix): @busmark_w_nika  Ha, ironic

... very unglamorous place lol. i'd open my fridge, see random stuff sitting there, have zero ideas what to do with it, and just end up ordering food instead. as someone who studies nutrition, that always felt kind of ironic to me, knowing so much about food and still wasting it because i couldn't figure out what to make in the moment. so i built the thing i actually wished existed: you take a photo of whatever ...

... comfortable sharing the previous conversation information for the context? And how much of it, if so? Comment from minxin WANG(@mindyorzi): @maria_telegina In China, the number "6/ " carries positive connotations (though it can be used ironically in some contexts). The phrase " " is a blessing wishing you that everything goes smoothly. However, in some countries, it is associated with negative meanings. I wonder if WIT can offer some advice on avoiding cultural shock. Comment from Rabnoor Singh ... ... exact sentence that could be read two ways and showing both readings side by side. and for the truly high-stakes case, I'd want it to flag when a phrase could be read as a commitment versus

... could I ever grow out of using an app blocker when its very purpose was to make me dependent on it? The frontier of this industry is currently all about how to make a blocker unbypassable, setting up iron-clad rules for yourself, and attempting to use dopamine tricks (like streaks) to try and keep you off your phone. But I don't want that. Why would I contribute to intentionally losing trust in my future self? If I learned ...

... city, New Foundry, in January 2007, one year before the recession hit: It's January 2007. New Foundry is a rain-slick port city where the container cranes never sleep and the server farms hum all night. The old iron foundries that gave the city its name are galleries now; the money has moved across the water to glass towers, and everyone else is downtown fixing the machines that keep it all running. You arrive with a soldering iron

... Because AI never runs out of ideas. Every prompt becomes: "Here's another feature." "Here's another improvement." "Here's another optimization." Suddenly you're choosing between fifty good ideas instead of focusing on the one that actually matters. Ironically... Code stopped being the bottleneck. Decision-making became the bottleneck. Now I keep one simple rule. Before I ask AI to build something, I answer one question first: What customer problem becomes impossible to ignore if I don't solve ...

... this architecture? Which prompt finally worked? Why was this workaround added? Which ideas were intentionally rejected? The code survives. The reasoning usually doesn't. A month later, I often spend more time reconstructing why something exists than changing it. Ironically, AI has made writing code faster... ...but remembering the reasoning behind that code has become slower. Lately I've started treating design decisions like first-class artifacts instead of relying on prompts or chat history. It's made returning ...

... users can review and correct the result before saving it. They can change the food name, portion, preparation method, quantity, or ingredients. When confidence is low, FitBin can request another picture, ask a short clarification question, or provide likely alternatives. In addition to taking pictures, users can search for predefined foods by name. Search results can include common foods, branded products, restaurant items, recent meals, favorite foods, and previously saved combinations. This allows FitBin to remain useful in situations where ... ... information For example, FitBin may explain that a meal provides enough protein for the user s muscle-building goal but contains more sodium than their remaining daily target. It may recommend a smaller portion or suggest a lower-sodium alternative

... before I ask an AI agent to build anything, I stop and ask myself one question: "If this feature disappeared tomorrow, would any user actually miss it?" If the answer is: "Probably not." I don't build it. Ironically, AI hasn't made saying "yes" more important. It's made saying "no" one of the most valuable product skills. I'm curious how other builders think about this. What's one feature you built with AI that felt productive ...

... felt like a huge advantage. But after a while, I ran into a different problem. Because everything became easier to build, I started building too many things . Every new idea felt worth trying because the cost was so low. Ironically, the real challenge stopped being "Can I build this?" and became "Should I build this?" Now, before opening my editor, I try to answer a few questions: Does this solve a real problem? Is this based on actual user feedback ... ... while building products. Comment from Evolvix AI (@evolvix_ai): @charlotte_reed1  That's a fair point. Some breakthrough features definitely weren't requested directly. I'm curious how do you decide which intuition is worth betting on versus

... lists. Then we changed one question: "What's the most frustrating part of your day?" The conversation became completely different. People stopped talking about features and started talking about repeated tasks, broken workflows, and information they couldn't trust. Ironically, many of the features we thought were important never came up. That one question has influenced almost every product discussion we've had since. I'm curious... Has a single customer question ever changed how you built your product ...

... exact $ recoverable per tool. Also just packaged it as a single Windows .exe no install, no terminal, nothing to configure. Runs entirely on your own server, sold as a one-time license instead of another subscription (a little ironic that most SaaS-waste tools are themselves SaaS subscriptions). Tested it on a mock 25-tool dataset found $6.98M in recoverable waste from checking just 4 of the tools ...

... part that's been bugging me more lately: as AI gets more powerful, everyone is guarding their data more tightly. Paywalls, aggressive anti-scraping, login walls, bot detection it's all going up fast. So the slightly ironic result is that the more capable AI becomes, the narrower the slice of the internet it can actually read for me. A lot of the good stuff is increasingly behind walls that my tools just bounce off of. So I'm genuinely ...

... Wispr Flow turns my voice into text, Claude Code and Codex do the engineering, and I'm the guy in the middle arguing about architecture in plain English at 2am. And somewhere in there I ran into the most ironic problem in AI: Every morning, every one of my tools had forgotten me. My project, my decisions, my preferences gone. I was re-introducing myself to my own team daily. Imagine hiring a brilliant engineer with total amnesia. Now imagine ...

... complete everyday tasks. That shifted how we think about product design. Now, before building any new capability, we ask ourselves: Does this save time? Does it reduce cognitive load? Will users complete this task with fewer decisions than before? Ironically, some of our biggest product improvements haven't come from adding new features, they've come from simplifying existing ones. I'm curious how other builders approach this. Have you ever removed or simplified a feature and found that users ...

... like selling myself either, so I don't. What I do is write comparison pages between the competing products and mine, and put everything into ranking those. The people who land on them are already interested in a competitor, or already using one and unhappy with it. They read what each product does and what it costs, and if mine comes out as the reasonable choice, the conversion happens sooner or later. If you don't have much ... ... think "salesy" isn't really about word choice it's about whether you're answering something someone asked, or interrupting something they weren't asking about. Curious if others have found the line shifts once you have actual users vs

... made several changes: We significantly reduced collaborations with low-quality UGC creators and now work with only 3 4 long-term creators. We've started featuring our founder in product ads because AI-generated videos weren't performing well. Ironically, people now even comment on the fact that the videos are real. We're posting more short podcast-style clips (with the founder!) for our productivity app because they feel more authentic. We're paying for verification badges on every ... ... that took 3 hours to find, a user doing something unexpected with the product, a decision I almost got wrong. The engagement on those is just different. People can tell when there's an actual situation behind it vs

... tech hardware ecosystem designed to completely automate your daily garment care and morning prep. You hang your clothes up at night, and while you sleep, it works. By morning, your outfit is pristine, fresh, and ready to wear. No iron box, no fabric degradation, and zero manual effort. Here is a look inside the machine and the core features we ve engineered: Intelligent Fabric-Aware AI: Equipped with an array of smart internal sensors, RoboCupboard automatically detects fabric density ... ... fiber type (whether it s delicate silk, heavy denim, crisp cotton, or structured wool) to customize the perfect cycle. Deep Steam Smooth Technology: Ditch the traditional iron

... open-source AI streamer that watches your screen, hears your audio, and reacts in character. Now it does something I'm genuinely excited about: it PLAYS. Wallie plays Minecraft survival live and unscripted it mines, hunts for iron, crafts, fights, and tries to survive the night, all on its own. No human at the controls, no script. And it talks the whole way through, in character, reacting to what's actually happening. Two things make it special: A smooth, human ...

... /products/ai-hive Your turn. Drop: - What you're building - Who it's for - The hardest part you're solving right now Will read everything and upvote what resonates. Comment from Mustafa Arian(@thenameisarian): What you're building TAM Network. the alternative to LinkedIn for everyone who builds and serves. coders, plumbers, nurses, designers. instead of titles and endorsements you publish receipts of work that customers and peers countersign. recruiters filter by 'who actually did this' instead of 'who has been ... ... want to read the contract, it's that it's difficult to know what matters and what deserves closer attention. Flagging clauses that differ from standard market terms is a great suggestion. Helping buyers identify what's routine versus

... indu_thangamuthu): Desktop Comment from Nika(@busmark_w_nika): I do not want to spoil, but... soon, it will be my desktop wallpaper :D Comment from Kseniia Che(@kseniia_che): Downloads, of course. But screenshots are becoming a serious competitor. And then there are my 20 open browser tabs, which seem to worry other people more than they worry me Comment from Suzy Chase(@suzychase): Legit, it's my desktop. It's not even a folder anymore ... ... ghost-kitty-9887484): Comment Deleted Comment from Parker Pevitz(@parker_pevitz): @harini_mukesh  I'm the same way lol, but it's organized chaos. By saving everything to my desktop I always think it will be easier, but ironically

... Spencer, the person building Trove. I started Trove because I wanted a calmer way to keep track of money without turning it into a spreadsheet project or another app that makes you feel behind or ironically charges a fortune. This first version is intentionally simple: a place to gather the important money stuff, see what needs attention, and feel a little more clear about where things stand. I d genuinely love honest feedback especially on what feels useful, what feels ...