... building Inwom - AI security infrastructure to protect enterprise systems(fintech, e-commerce, healthcare, etc.) against swarms of AI agents with malicious objectives. I m building this product because, ever since OpenAI s unintentional attack on Hugging Face happened, it became very obvious to me that we are not prepared for attacks carried out by swarms of agents. Security systems today are good at detecting individual attacks, but when an attack is broken down into many small tasks executed by multiple ... ... agents, it becomes almost impossible to detect. Even METR, a company specialized in evaluating AI models and responsible for analyzing the attack, mentioned how difficult it was to reconstruct what had happened

... opportunities. And those opportunities eventually helped build the career that got me to my first million in tech. The interesting part to me isn't the million. It's how much of the learning that helped me get there happened in time I could very easily have wasted. Micro learning worked. But it wasn't easy. I became a huge believer in learning in small pockets of time. The problem was that tech learning was never really designed ... ... learn, refresh or keep up with. Because tech is enormous. One month I might want to refresh Linux. Then understand Kubernetes networking. Learn Terraform properly, or prepare for a cloud certification, or even revisit SQL (yes, this still happens

... where the Restart to update button admits it heard you. Turns out shipping an updater whose only feedback is "trust me bro" was a bold choice. Fixed "Restart to update" now actually restarts. Before: you clicked, nothing happened, you clicked four more times out of spite, and a minute later the app quietly closed on its own. The click was stuck waiting on a database write that the mail sync had no intention of letting go of. Now the banner ... ... many times you reopened it. The window now says "I'm back", and a broken view puts itself right. Housekeeping New skim-update.log: what the old build did on its way out, and which version came back. The bug above happened

... Hello Product Hunt, I ve been thinking about a problem we rarely prepare for. If something happened to you tomorrow, would your family know what digital accounts you have? Not just passwords but bank accounts, important documents, subscriptions, cloud storage, photos, email accounts, investments, and other parts of your digital life. I started thinking seriously about this after a death in my family. What followed was months of trying to understand what existed, where things were stored, which accounts mattered ... ... facing the exact problem the product is supposed to solve. We re getting close to launching Lyfos on Product Hunt, and I d like to learn from this community before we do. Have you ever thought about what would happen

... Your AI is already smart enough. Give it somewhere to work. Asking AI a question was never the hard part. The hard part is what happens after the answer. However good the draft is, the one pasting the table into the doc, saving the file where it belongs, and sending the email to the client that's still you. Your work is scattered across a dozen tools: some of it in your inbox, some in Notion, some in a folder ... ... list can introduce itself one summary per book, written into the cell where it belongs. Example 2: Buy back the most expensive hour of your day (GitHub + Slack + Calendar Notion) Every morning starts the same: check GitHub for what happened

... Building an indie app can be a lonely game... You got your first sale. Someone downloaded your app. You got a GitHub star. Hit 1,000 downloads. And... nothing happens. So I built Joy . Joy lives in your macOS menu bar and turns those little wins into a moment worth celebrating. Something awesome happens

... When was the last time you built a feature because one user expressed a strong frustration? It happens easily. A detailed complaint feels urgent, the solution seems obvious, and suddenly the feature is on the roadmap. But a user asking for something 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 ... ... simply doing nothing can reveal how painful the problem really is. The more time, money, or effort they already spend on a workaround, the stronger the signal that the problem is worth solving. 3. How often does the problem happen

... that trap so reliable is that the collapse is both the cheap option and the locally correct one. Not writing a line when nothing happened is what a careful engineer does. Noise reduction and silence detection pull against each other, and the record that costs the most to keep is the one saying nothing happened

... employees. Access was later restored, but the message was clear: a political decision made outside Europe could determine whether Europeans were allowed to access a frontier AI model. Europe did not suddenly lose access to all AI. But what happens if , one day, access to the leading American models is restricted more broadly? We would still have European models, open-source systems we can operate ourselves, and Chinese alternatives

... effort of managing 40 different passwords feels real and immediate, while the risk of a breach feels abstract and distant. There's also a quiet assumption a lot of people carry around without saying it out loud: "that happens to other people, not to me." Data breaches happen

... something about watching someone who actually knows the craft better than me raise an eyebrow at it made me feel like a fraud for about a week, even though nothing about the product itself had changed. Has this happened to you, showing your vibecoded work to someone with real engineering chops? What did they catch that you'd never have caught yourself, and did it actually change how you build going forward, or did you just quietly feel bad about ... ... move on like I did? Comment from Jernej Jan Ko ica(@jernej_jan_kocica): I'm the guy who goes quiet at minute four, so let me tell you what's actually happening

... Complaints increasing Revenue-generating spaces becoming temporarily decorative The problem is not always poor planning. It is often that project teams and operations teams are working from two different versions of reality. The project schedule shows when work should happen. The operational schedule shows the exact reason it cannot happen

... Before building software, I spent years in service operations. One thing I keep returning to is where work actually happens. Important work rarely happens

... controlled through a browser automation protocol while still being visible and interactive. The test runner can connect to the browser, drive the page, take screenshots, and preserve a realistic session, while the team can observe what is actually happening. That combination is especially useful for agentic testing: - The agent can operate against a real headed browser session. - The harness can capture screenshots at meaningful checkpoints. - Developers can watch the run instead of reading only logs. - Authentication state can be reused ... ... easier to diagnose because the browser is not hidden inside an opaque CI worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened

... more than any UI polish did. So yeah, I d say naming the problem is the actual unlock. The demo just has to not get in the way of it. Comment from Viraj Parab(@viraj_parab): StartupHQ to organize competitor research, validate ideas, and keep my roadmap focused. It removed a lot of the "what should I do next?" moments. Now the challenge is exactly what you mentioned: getting distribution right. Comment from Mincheol kim(@mincheol_kim): @anna_ludwinowski ... ... Kozlo(@wvitalik): I look for the problem/need first. However, note that some products are solving the problem of a bad existing UX and user interface (think about the goal "to manage virtual private servers" and solutions via the terminal VS

... like telegram more than the whatsapp for chatting :) VS Code : i do code . Comment from mono.(@shakutovbekzat): Here s my stack for building mobile apps today: Antigravity + Codex (AI Agent): Switched to this setup recently. Previously, VS

... approval" natively; Cursor structurally can't tell me an edit happened. So it's not only normalizing schemas, it's normalizing across different capability floors, and I don't want to design a schema that quietly assumes the richest source. In cloud telemetry, did you force a lowest-common-denominator schema, or let events carry a capability/confidence marker so consumers know a missing signal means "didn't happen

... failure. Because when you spend months searching for opportunities, every interview starts feeling bigger than it probably should. You begin thinking: Maybe this is the one. Maybe this changes everything. Maybe this 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 sending something into a black hole and waiting ... ... think many people who struggled with job searching understand exactly what I mean. Because eventually it stops feeling like a process. It starts feeling personal. But the strange thing was that I wasn t only seeing this happen

... been building workflow tools inside Google Workspace for the past couple of years, starting with Kanban Tasks and later Sales CRM. While working with teams using the products, we kept noticing how much sales and operational work already happens inside Gmail. Customer conversations live in email threads, follow-ups come out of meetings, and next steps are discussed throughout the day across messages, tasks, and calls. The CRM or Kanban board usually gets updated afterward. Sometimes that happens

... perspective and what's the future of BurnLink. A small breakdown of the neuroscience and psychology behind why your instincts about file sharing are often more accurate than the tools themselves. There is a moment; brief, easily dismissed that happens right before you send something sensitive. A half-second pause. A small internal question: is this okay? Then you override it and hit send anyway. Neuroscientists who study decision-making have documented what they call somatic markers where physical signals ... ... original research, from Antonio Damasio, was about financial risk decisions. But the broader point holds: your nervous system can flag a situation as worth pausing on before your conscious mind catches up. Whether that's precisely what's happening

... were excited and nervous in equal measure , not sure what a community that has seen everything, every single day, would think of our product. Now, looking back, six months felt both incredibly long and impossibly short. A lot happened. Just consider how many AI launches have come and gone in that time. One week after launching, we found out we had ranked as the #1 Product of the Week on Product Hunt. It was a genuine surprise ... ... initial Product Hunt launch proved there was real demand for a tool that optimises prompts based on your personal context, even across AI agents. That was the core idea. But over the following months, something painful happened

... 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 ... ... this most right now? For us it was solo builders who can't also become full-time marketers. Smaller users, faster feedback loops, and they tell you what's broken in hours not quarters. Your table comparing build time vs

... 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 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

... 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