... design problem explains zero interest in the thing itself, and solo makers usually spend the design money before they know which one they have. adana, of the products you've seen struggle, how many were actually a polish problem versus nobody wanting it? Comment from Sansa Grey(@sansa_grey): One thing i have learned that users dont care that the UI took you two days to perfect. they care that they found the button they needed in five seconds. Comment ... ... value. Even bringing one in for a few key screens, user flows, or a design system can make the product feel much more polished and intentional. So for me, it s less about AI vs

... perceived as completely normal (at least for me). As equal human work. How do you view things generated by artificial intelligence? Maybe it's true that who is behind the output and prompting also influences the result (professional vs. amateur). But it clashes a bit with the fact that: if we do things with AI, why do we demand less money for the output? (We perceive it as cheap.) Comment from Richard Acheampong (@richatsealedvault): @samran_elahi  I completely couldn ... ... faster work with less effort? Comment from Landon Matthew(@landon_matthew): @busmark_w_nika Can something be quick to make and still be genuinely valuable? Comment from Samran Elahi(@samran_elahi): Honestly, I think it is less about AI vs

... there's a distinction I keep thinking about: apps built with AI (Cursor, Claude, Copilot writing the code) vs apps that depend on AI APIs at runtime to function. I'm in the first camp. I used AI-assisted coding heavily to build Briskly (a cleaning app that scans your room and generates a timed task list), but the app itself makes zero LLM API calls. The scanning runs on Apple's Vision framework, entirely on-device. No tokens ... ... pricing volatility bitten anyone yet? Anyone shipped with local/on-device models (Apple's Foundation Models, Core ML, quantised open models)? How was the quality gap in practice? Where's the line for you? Which features genuinely need a frontier model vs

... Lenin(@basil_lenin): So for the most part, It works like a charm, and the installation part was easy too, but something that I found kinda bothersome was the widget on Windows like I get that you can't squeeze in everything to something that small but I feel a little refinement could go a long way as it would make the need for the pop up menu to something that you only need to go to for bigger operations ... ... love is better support for mixed coding + natural conversations without having to repeat context. Great work so far! Comment from Raffay Sajjad(@raffay_sajjad): Haven't tried it myself yet, but reading through this thread: the Ultra versus

... aidanhornsby wrote in their blog announcement : Most founders spend their days in the land of death by 10,000 cuts: context-switching between apps, triaging email, sitting in meetings. The strategic work you started the company to do is squeezed into whatever time is left. A small group of technical early adopters is finding a way around this, using tools like OpenClaw to run AI agents that actually do real work. But bleeding-edge agentic workflows require developer skills ... ... more. Comment from cecilia(@ceciliatran): Huge congrats on the raise and the launch!! That "death by 10,000 cuts" line hit home. I have worn basically every hat at an early startup, and the strategic work always got squeezed

... same task getting more expensive. so the per-task cost curve bending down and the total-usage curve going up aren't really racing each other, they're just two separate things happening at once. the actual squeeze will be on whoever built their product assuming today's token price is permanent Comment from Konstantin Gerasimenko(@konstantin_gerasimenko): I think AI is both cheap and subsidized. The cheap part will get cheaper: small models, embeddings, summaries, classification, caching, local models ... ... been deliberately building toward that 1M+ questions already generated and cached, so we're not paying per question forever. But you're right that a lot of "AI products" are really just API wrappers with a margin squeeze

... practical applications entirely offline. No GPUs. No subscriptions. No datacenter. Just a microcontroller that costs less than a cup of coffee. Every claim is verifiable and tied to a script. What SuperESP Actually Is SuperESP is not another chatbot squeezed onto a microcontroller. It is a collection of specialized ternary AI models designed to classify events, patterns, behaviors, and anomalies directly on the device. The current release includes: Agriculture monitoring Voice commands Motion recognition Gesture detection Sound event classification Machine ...

... timely, move on. If you re still unsure after a quick scan, that s your answer. Pass and keep going. The goal is to spend almost no time on accounts that were never going to move. 3. You get squeezed at both ends of the market B2B pricing and deal dynamics are broken at the extremes for opposite reasons. At the top end, large accounts often overpay because attribution is fuzzy and internal buying processes are heavy. Big logos ...

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... Product Hunt! We built compress.aurorapdf.com because we kept running into the same problem. Every time we needed to shrink a scanned contract or a heavy report to squeeze it under a 25MB email limit, the only options meant uploading the file to a third-party cloud server. For sensitive work documents, that never felt right to us. So we built something different. Here is how it works: - 100% local processing Your file never leaves your device. Everything runs inside your ...

... products with months of audience-building behind them. If I did it again I'd start posting the journey publicly on day 1, not at launch. Doing this with a full-time job means your "launch day" is squeezed between meetings. Lower the bar for what counts as a win. Mine today: the app exists, it's live in both stores, and strangers are using it. Still the most fun I've had building anything. Just go in knowing ...

... Product Hunt! We ve all been there: you need to make a quick text correction, squeeze a bloated file down for an email attachment, or drop a fast signature onto a contract. Instead of a 10-second task, you end up hitting a forced account registration, a heavy desktop installation prompt, or an aggressive premium paywall. Traditional document tools feel less like productivity software and more like intentional bottlenecks. That is exactly why we built the Free Online ...

... bodies like our ancestors did. We schedule exercise. We set up programs. We need the right day, the right mood, the right playlist. And when none of that lines up we do zero. So I made Squeeze Now: Isometric reminders while you work It won't replace your gym. It won't build your dream physique. But it will make sure that on your most sedentary, screen-locked, deadline-chasing days, your muscles fired at least a few times. When ...

... meetings, chats, or emails every 2 minutes during core hours, which explains why one scattered call can wreck a whole afternoon. So yeah, tools like this make a lot of sense if the call is already happening, at least squeeze more value out of it afterward. Comment from Maria Anosova (@maria_anosova): I try to handle everything through text messages, but phone calls are still an essential part of the process. Probably between 0 and 5 calls ...

... Comment from DAYAL PUNJABI(@dayal_punjabi): As a content creator who dabbled in copywriting early on, that client ultimatum hits home, tbvh. But I've had similar convos where AI was pitched as the "cheaper faster" fix. It did squeeze rates and gigs for pure text work, forcing a pivot. Here's the silver lining tho for me: it pushed me toward AI-assisted generalism, blending human insight with tools for research, ideation, and even video scripts. Now I focus ...

... subscriptions no longer cover usage on third-party tools like @OpenClaw . If you were running your agent with @Claude by Anthropic , curious what option you'd pick: would you pay the extra bundle? pick another provider? or use an alternative like @KiloClaw or @Zo Computer ? Comment from fmerian(@fmerian): thanks for the feedback; heard great things about @MiniMax . this thread compares M2.7 with Opus 4.6 and tl,dr: it delivered 90% of the quality for 7% of the cost. definitely ... ... unable to do? Comment from Priyanshu Singh(@priyanshu_singh23): Feels like this will push people to rethink their stack more than just swap providers. A lot of setups were built assuming bundled access. Now it s more about control vs

... start. I believed that "keyword density" mattered. I spent hours making sure our target keyword appeared exactly 3-4 times per 500 words. I used tools that highlighted which words were "under-optimized." I even re-wrote paragraphs to squeeze in one more mention. Turns out that hasn't been a real ranking factor for over a decade. Google's RankBrain (2015) and BERT (2019) made keyword density obsolete. These models understand context, synonyms, and user intent. They ...

... Imagine chatting with a voice agent as it guides you through a city you're visiting. In chip design, advancements came mostly shrinking feature size (Dennard scaling) over the last six decades. As we run out of juice to squeeze there, I believe we'll see many old ideas implemented in AI chips & hardware-software co-design, like photonics, neuromorphic / biologically-inspired, approximate computing, non-Von Neumann architectures, etc. There are surely countless more if I just think about ...

... Then the other answers are usually product, distribution and marketing: A product so good it speaks for itself. Distribution so natural and low-cost the product starts lifting itself. And then brand/marketing. The part where you somehow manage to squeeze into somebody s goldfish brain for a brief second and make them care. My background is in marketing and community roles locally, globally and by business unit at adidas, then TikTok platform and family of apps at ByteDance. This article ... ... time, but no cost apart from time to set live: TAAFT 19 47.4% 0m 22s Designer Daily Report 13 46.2% 0m 14s TopAI.tools 10 40.0% 0m 5s Comment from Johanna John(@johanna_john1): Loved the honestly about newsletter traffic vs

... held up. Desktop didn t suffer, it got cleaner. The constraint forced an information hierarchy that works everywhere. I m sharing a screenshot because the vertical density and expansion model are hard to explain without seeing them. Trying to squeeze in a complex workstation into mobile in one swoop was definitely an ongoing battle, but it has its perks as well ...

... Pricing can be it, but I'll usually give something a go if there's a 14-day or 30-day trial period. More often, if's a mental calculation of: Is the juice going to be worth the squeeze? For any product that's asking me to replace something else (e.g., email client), I have to go: Okay, is the projected benefit compared to staying with what I've got enough to justify all the onboarding? For products that ... ... usually starts with bad UX/UI. I like e.g. UX/UI of Coinbase. I hate Binance because of the bad user experience. Comment from Alex Cloudstar(@alexcloudstar): @npmitaart  That makes a lot of sense. Outcomes are the clearest filter. Effort vs

... they live : Google and Amazon can afford to keep model costs low because AI strengthens their existing money-printing businesses. Pricing, in that context, becomes a strategic weapon, not a reflection of cost. You can see how OpenAI gets squeezed in the future without cloud, ads, search etc. As intelligence becomes cheaper and more interchangeable, pricing stops being about intelligence itself. Instead, it shifts toward human factors: taste, trust, personality, and brand. This isn t new. Other industries have followed ...

... tasks. I started my career in recruitment, working with companies and candidates across different markets. Over time I kept seeing the same pattern: talented people stuck doing admin, while the human side of hiring (conversations, relationships, judgement) kept getting squeezed. That s the gap I m obsessed with: the intersection of people and technology. Hirebetter.io is my way of giving recruiters superpowers, things like instant candidate summaries, better outreach content, and smarter interview prep, so they can focus on actual ...

... sacrificing it. Why I m building this I come from recruitment and have spent years inside the process. I ve seen how much time gets lost on manual work while the human part of hiring (conversations, judgement, relationships) is squeezed out. At K.B Consultancy we ve been automating these workflows 1:1 with clients. Hirebetter.io is the product version of that experience: plug-and-play tools instead of custom projects. What I d love from you Feedback on the concept ...