... solved 823 problems on LeetCode with a 430+ day streak , and I can tell you it's a dry platform for solving

... solved 823 problems on LeetCode with a 430+ day streak , and I can tell you it's a dry platform for solving

... does not always mean they would use it, pay for it, or even notice when it ships. Before adding a feature to the roadmap, I find these five questions useful: 1. What problem is the user actually trying to solve? Users usually suggest a solution, but your job is to understand the problem behind it. Understanding the underlying problem gives you the freedom to solve

... trying to solve online friendships. Am I solving

... poor engineering. It fails because it's answering the wrong question. Early on, I thought my job as a founder was to keep adding features. Now I spend much more time asking: "What problem is this feature actually solving?" Sometimes I realize the feature isn't the answer. It's my attempt to avoid having a difficult conversation with users. Building feels productive. Talking to customers feels uncomfortable. So it's tempting to build first. One conversation recently changed ... ... require fewer clicks. That tiny improvement created more value than several features I'd planned. Since then I've started asking myself one question before opening my editor: If I couldn't write any code today, how would I solve

... month that I've been here, I've been noticing a pattern in a lot of launches - strong demos, polished UI, clear outputs of "what it does." But when I ask myself "What problem does this solve?" I sometimes have to dig for the answer. (I come by that thinking honestly - I've spent 33 years building and fixing businesses, so this is the lens I can't turn off.) The products where the problem is obvious are the ones ...

... Most of us approach every situation with the same identity. We try to build a product, make a difficult decision, sell an idea, handle criticism, lead a team, or solve a creative problem as the same person. But the version of you that is good at analyzing risks may be terrible at generating bold ideas. The version of you that wants everyone to approve of you may struggle to negotiate. The version of you that carefully improves a product ... ... never feel ready to launch it. So perhaps the question should not always be: How do I solve

... than Opus 4.8 or GPT-5.5, worth knowing if you'd written it off as the "free but weaker" option. What I haven't found a clean answer to: does anyone have a real methodology for tracking cost-per-solved-task rather than cost-per-token? Token counts alone feel misleading once you factor in retries, wrong turns, and the fact that a "cheap" run that needs 3 follow-up prompts to actually work isn't actually cheap. Curious what ...

... experience in writing or I watch them use the product during a call. My testing group consists of: Developers and UX/UI designers people with experience who understand common patterns and expected behavior. People who have the problem the tool solves my potential users. If both groups point out the same issue or suggest the same improvement, it almost always becomes a top priority in the roadmap. What makes feedback relevant to you? The number of testers? The mix of respondents ... ... more than the number, tbh. We've gone through this with enterprise pilots where getting 5 really specific users who live inside the problem daily gave us more signal than surveying 50 people with a vague interest. Your dev vs

... Content Structure The biggest mistake I see on SaaS websites is explaining features before explaining problems. A visitor does not wake up thinking: "I want a software dashboard with API integration." They think: "I need a better way to solve this problem." So I changed the homepage structure. The old version started with technical features. The new version started with: What problem does this software solve

... invisible. The user just notices the product works better. Loading times feel shorter because the app predicted what they'd need next. Search results are weirdly accurate. The interface adapts without them noticing. Three patterns I've seen work: Solve the friction, not the feature request. When users say "add AI to X," what they usually mean is "X is too slow / too hard / too confusing." Dig into why. Let users pull, don't push. The most successful AI features ... ... friction at work. We went through dozens of apps with AI bolted on as a feature, but nothing worked. It was just paying per user and still working the same way. Comment from Riya Pariyar(@riya_pariyar): the pull vs

... connection comes from knowing who's behind the brand and why she built it. It's much more human than just a logo. That said, I think it's both. Lead with the problem you're solving, but don't hide yourself. People like rooting for founders, especially in the early days. Your journey building the app for two years is part of the story too. Comment from Stacy Wycoff(@stacywycof83995): @busmark_w_nika  You're welcome, happy ... ... LinkedIn posts the problem-first framing will land. Comment from Dawson Mike(@dawson_mike1): I try to educate before I promote. Instead of telling people my solution is the best, I prefer building free calculators and decision tools that solve

... That works in a preview. It breaks when it reaches a real inbox. Outlook changes the layout. Gmail clips large emails. Dark mode rewrites colours. Different inboxes interpret the same code differently. For six months, we built Zinn to solve this. Zinn is Migma s markup language and email compiler. It creates production email code built for the inboxes people can actually use. The result is the same design, rendered properly across Outlook, Gmail, dark mode, and the rest ... ... worst environments to build for, since half the major clients still strip modern CSS and Outlook renders through Word's engine instead of a real browser. If Zinn actually handles that consistently that's a real problem solved

... combination of the problem the product is solving and the output of the product. Rarely do I see an "interesting idea" that has no current or near-future problem to solve

... Spoken Guidance which is launching soon solves some big problems. There's a lot of people who are seeking God. Curious, but lost. Many don't know where to start, and when they do they don't know how to continue. Some even have read and know parts of the Bible, but want deeper understanding. Spoken Guidance solves

... pieces. Not because the code is bad. Because they do not prove anything a hiring manager does not already assume. Everyone who completed a course built a to-do app. It signals I completed a tutorial, not I can solve real problems. 84% of employers want to see working applications, not just code repositories. The distinction matters. A repo is a codebase. A working application is proof that you can take something from code to deployed reality, handle real-world ... ... edge cases, think about users, and finish things. The shift is simple in theory and harder in practice: stop building what tutorials tell you to build and start building what actually solves

... some need positioning, some need launch support. Being clear about which pain you solve is half the battle. Manually reviewing real founder posts to test the tool is honestly the right approach at this stage. It's slow but it teaches you what real vs

... Google Search Console They don't make building easy, but they definitely make it possible. Comment from faheem asad(@faheem_asad): My daily toolkit is pretty simple, but I rely on it constantly: ChatGPT brainstorming, writing, and problem-solving. VS

... cool to connect with someone solving the same daily mess. Comment from Burak Emre Ta er(@burak_emre_taser): @aadilghani   Tried Pushary after this thread the "waiting for approval" push is the part I actually needed. Second monitor never solved

... from small daily frustrations that keep coming back. From your experience: Did your product idea come from a problem you personally faced? Or was it something you noticed while observing others? Comment from Kamal Parmar(@kamallp): I think solving your own problem is a great starting point, but the important part is checking whether other people feel the same pain. My current project came from that kind of frustration. I kept watching YouTube videos about AI/SaaS/startup ideas, but after watching ... ... signal, but now the real test is whether other founders feel the same confusion after consuming idea content. Comment from Vladimir Tsaran(@vladimir_tsaran1): For me it is always observing however my very first IT product was made to solve

... makes sense to separate the founder from the product ? Comment from Mickael Chiron(@hivin): Good point, personal brand helps early traction, but it can also bias feedback and hide product flaws. Maybe the real question is less brand vs product and more how to get honest users early without distortion. Have you seen cases where strong founder visibility actually blocked real feedback? Comment from Jinji Huang(@jinji_huang): I lean toward a hybrid, with the product doing the first ... ... truth-testing. For a narrow B2B product, building a personal brand too early can create the wrong feedback. People may like the founder story, but that does not prove the workflow solves

... Seeding. As developers, we ve all been there, writing custom scripts just to link a `user_id` to an `author_id` across multiple mock API calls. It s tedious, error-prone, and kills your momentum. I built @BugiaData to solve this. It started as a headless API for relational synthetic data, but today I m launching BugiaData Studio . It s a visual "Command Center" where you can architect complex, multi-table schemas and maintain full relational integrity in a single ... ... mapping across 100+ locales without feeling cluttered. I ve integrated a React/Vite environment directly into our backend to keep the experience as fast as a local dev tool. Check it out: https://bugiadata.com Comment from Rian Robertson(@rianbrob): Wow,solving

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... should have talked to 10 real enterprise buyers before writing a line of code. We didn't. 3. Your current customers are your roadmap. The feature 47 people asked for? API rate limits. Not sexy. Not enterprise. But it solved

... RendrFlow is basically solving a few big pain points that most traditional photo editors (like Adobe Lightroom or Remini) don t handle well especially when it comes to privacy, speed, and offline capability. Here s what it does differently (and better): 1. Privacy first editing (biggest differentiator) Most AI photo tools: Upload your images to cloud servers Process them remotely Store or analyze your data RendrFlow: Works entirely on-device No uploads, no accounts, no tracking This solves

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors