... randomly visiting a website and couldnt download a video in hd quality. then as a dev, when something doesnt work, you think "let's build it." so i got the same thought. i started researching idea validation and found like 0.2% of websites actually worked fine, but they were full of shitty ads. i thought this is the perfect market , we should go all in. and when i checked their traffic i got shocked , cause they werent getting ... ... stuff, knew how to code, but those traffic numbers pushed me to build as fast as possible. i came to know we needed a scraper, and one of the best is yt-dlp. there were other options too, like

... Hello, fellow Vibe Coders. I am a new Vibe Coder who left the handmade shoe industry in Korea to embark on a startup journey. I d like to share a record of the past two months or so. As I am Korean, I am using Google Translate to generate the English text for each paragraph; I ask for your understanding. 1. In the two-plus months since I started using Claude Code, I have built nine simple apps; I released ... ... because everyone has access to the same information, the playing field eventually levels out. Anyone can use effective keywords, so without targeting a specific vertical, you are bound to fall behind. I call this the "entry phase." Like

... schedule, because it is so random and i never understand how planning an appropriate time can make a difference? Maybe it makes a difference when you are doing a full planned PR but not for indie builders like me. Like

... long time, social media felt like one big town square. Now it feels more like

... Stacy Wycoff(@stacywycof83995): The shift that helped me was leading with a genuine question or observation about the problem, then only mentioning what I built if someone actually asks. People notice quickly when a post exists to get attention versus when it exists because the person is genuinely thinking about the problem. The founders whose promotion never feels salesy are usually the ones who would still write that same post even if they had nothing to sell. Comment from Stacy ... ... talking about the product. Instead of saying "Here's my tool," I share something I learned, a mistake I made, or a workflow that saved me time. If the product naturally fits into that story, it doesn't feel like

... When we first launched Murror, our onboarding looked like every other app. Five screens. Set your goals. Pick your interests. Create a profile. Upload a photo. 14% of users made it through. The rest disappeared before they ever journaled a single thought. We assumed the problem was friction -- too many steps, too many taps. So we cut it down to three screens. Completion went up to 22%. Better, but still terrible. Then we talked to users who dropped off. What ... ... prerequisite to the experience. The new one made setup part of the experience. The lesson we keep learning: for emotional products, the first interaction isn't about collecting data. It's about setting the tone. If your onboarding feels like

... hardest one for me to describe well. When I run more than one business at once, the thing that breaks is not obvious like slow onboarding or a confusing screen. It is a quiet gap, a lead that went cold, a number that was wrong for weeks before anyone noticed. Nothing looks broken because nothing looks like

... publish where you're just refreshing analytics like something's gonna magically change lol Comment from Jin Ci(@youliqn): anyone else feel like

... since then, it has brought us more than 1,900 signups. I waited a long time before launching own.page here. Not because I didn t want to, actually, I wanted it a lot. But Product Hunt always felt like one of those big platforms where, if things go well, it can really change the momentum of a product. And because of that, I kept delaying it. For more than 6 months. I was thinking too much. What ... ... competitive? What if nobody cares? What if we launch and nothing happens? On X, I often saw people saying Product Hunt is dead. That it doesn t bring traffic anymore. That launches don t matter like

... seems to have internalized my formatting habits. It's reached a point where it structures the code almost exactly how I like it on the first try. It s a great feeling when the AI starts to feel like

... eval set define what good looks like, the handoff layer tells you whether each agent hit it. Planning and visibility, same job from two ends. Genuine question, since you're running this like

... good enough, opportunities would eventually come. That sounded logical. Work hard. Improve. Become valuable. Get opportunities. Simple. At least that was what I thought. But reality started feeling very different. Whenever I got an interview opportunity, I treated it like one of the most important events in my life. I wasn t preparing for interviews for an hour or quickly reviewing common questions. Sometimes I spent an entire week preparing for a single interview. I researched companies in advance ... ... finally works. But many times nothing happened. Some companies rejected me. Some disappeared completely. Some never answered at all. And honestly, after a while silence became worse than rejection. Rejection at least feels human. Silence feels strange. Silence feels like

... There seems to have two types of developers: Human in the loop : Those who like to control the behavior of their agents as it works, looking at the context usage, reading reasoning blocks, and approving individual file edits. Agent first : Those who prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel. What type of developer are you when working with AI coding agents? For context, when @Kilo Code launched their ... ... VS

... There's a pattern I keep noticing across the AI products that actually stick with people vs. the ones that get tried once and forgotten. The forgettable ones try to be impressive. They show off what the model can do -- generate faster, automate more, produce output at scale. And they're genuinely cool for about 15 minutes. The ones that last? They help you see something about yourself you couldn't see before. I've been thinking about this ... ... Postrail an AI writing tool. The temptation is to optimise for volume. More posts, faster drafts. But the moments users actually value aren't the impressive outputs. It's when they read a draft and think "that actually sounds like

... tool itself is AI, so it s a bit contradictory. 1) When we re so flooded with AI-generated content, do you have any methods to recognise it? For example, I keep noticing the same patterns: long dashes, phrases like It s not X, it s Y, and similar structures. 2) But what about beyond text, like

... reflection of the founder. People defend it like they are defending a friend, not giving honest feedback like

... That means it is about: pacing pressure resilience sustainability controlled response explainable system behavior It is not about promising price support. The goal is not to hold the chart up. The goal is to keep the ecosystem from behaving like a slot machine duct-taped to a volcano. A good balance engine does not erase market conditions. It helps the world react to them without collapsing into nonsense. What it will be able to do When fully matured, Blaze Balance ... ... GrowHouse ecosystem at once. 1. Reduce reward pressure during stress If the ecosystem is under strain, Blaze can reduce output pressure in bounded ways instead of letting emissions or claim pressure run wild. That can include things like

... most important and challenging experiences you ll have as a founder is fundraising. I pitched VCs across London and San Francisco. Some spent 15 seconds on my deck. Some took the call just to diligence a competitor. One told me to ask for more money. Oh, and I found out your pitch is probably being recorded and run through AI. This is the high-impact version of all of those lessons to save you time, energy, and emotional damage. Please ... ... they invest in your market? Do they lead or follow? Etc. You can learn very quickly whether the meeting is worth your energy, or where to double down in your pitch. A lot of founders treat the first call like

... 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 ... ... succeed. Good analysis will stop you before you do anything big. Unfortunately, when they teach us to become a software development, they don't teach as entrepreneurship, and a little bit of marketing, and a lot of software developers (like

... exploring karpathy's posts on X and i came across a post by him where he said that He uses all the major models all the time, switching between them frequently. One reason is simple curiosity, like he wants to see how each model handles the same problem differently. But the bigger reason is that many real world problems behave like

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... 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

... days, it ran the engineering team. Here's what happened. Day 1: Confidence was high. Claude (Sonnet 4.6 then Opus 4.5) fixed a small CSS bug in 30 seconds. Then refactored a messy function into something readable. We felt like geniuses. By end of day, it had shipped 3 minor improvements. We started talking about cutting engineering costs. Day 2: The first crack. We asked Claude to add a new filter to our dashboard. It wrote the code. It worked ... ... review the logic and have it review the implementation before anything gets merged. Two things that I do almost every time that has significantly improved the quality is to have the agent do a gap analysis of the plan vs

... Sometimes at 10pm. Weekends included. I wrote about our product, our features, our roadmap. I followed all the "best practices" hook in the first line, three takeaways, call to action at the end. I got maybe 30 likes per post. A few comments from friends. Zero customers. One day I got tired. I posted something messy. No structure. Just a story about a deal we lost because ChatGPT had wrong info about our SOC2 status ... ... part nobody tells you. The formula works until it doesn't. And the messy story works even when it shouldn't. I've been trying to figure out why. Maybe it's trust. A polished post feels like

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor