... 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 ... ... testers. I look for readers who question the framework, identify unclear parts, and help improve the structure. For early-stage products, I think the most valuable feedback often comes from people who genuinely care about the problem you are solving

... 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

... 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

... while building this product is that no AI is perfect on every puzzle. That's why I didn't stop at automatic detection. I added manual editing so players stay in control and can quickly correct the board before solving. That combination of AI + user verification makes the solver much more practical for real gameplay. The solver also supports advanced game mechanics such as: Hidden colors Locked tubes Keys Ice Boxes Tag tubes Other special puzzle objects My goal wasn ...

... 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 ...

... 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 ... ... background data on user behavior and preferences, this can produce generic results that the user then needs to reshape and that s what breaks trust and does not add any convenience. Comment from Riya Pariyar(@riya_pariyar): the pull vs

... have to worry about feeling uncomfortable about selling ever again. Comment from Amy Ingram(@amy_ingram): @suzychase  I just copied your intro sentence "I realized I don't actually promote my product. I promote the problem I'm solving." because it's brilliant. Comment from Divv Saxena(@divvsaxena): hey nika, building a workout tracker, doing client work, and the thing that fixed this for me wasn't changing what i say. it was changing what i show. posts where ... ... comments most of the times works better Comment from Matthias Grieder(@picspace): @busmark_w_nika I m a terrible salesperson. What helps me is shifting the focus away from the product and onto the problem it solves

... 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

... 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

... 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

... 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

... solving right now The hardest problem we're solving

... little product with it! Linear - best jira alternative even for solo Zed - fast and light, if terminal is not enough for you but you won't stick to VS

... 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

... theorizing about a market. You just kept hitting the same wall until you fixed it. That's harder to fake than most "I saw a gap in the market" origin stories. Comment from Bari Be(@baris_bekar): I think solving your own problem is probably the best starting point, but not enough by itself. For me, Theoria started from a very personal frustration: I kept opening papers, abstracts, PDFs, related tabs, and somehow ending up more confused than before ... ... audience of one. Founders are unusual users almost by definition. The polls and conversations don't replace your own intuition, but they keep it honest and you find out pretty quickly which problems people will actually pay to solve

... lightly edited the answer to sound more casual. Comment from Tony Spiro(@tonyspiro): The risk of brand-first isn't just account transferability, it's that you optimize the product for what makes you look good rather than what solves the problem. That said, founders who build in public consistently raise cheaper capital and close deals faster. The trick is keeping the personal brand tied to insight and craft, not hype. Comment from Alix Gallardo(@agnamihira): @emre_yilmaz_easyparser ... ... pretty much launching to people who know you - important!. And if your product is basically an extension of your expertise you re living proof that it works. But sometimes you want the product to stand alone. Maybe it 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