... rename packages/cli to apps/cli. The next scan tells you a dependency started running code at install, and another one stopped. Nothing started you moved a folder. 0.34.0 is four changes that are the same sentence from different angles: a security signal is only worth reading if it fires on what happened, not on what you did to your own repo. An axis that cries wolf is one you learn to skip, and then it's worth nothing ... ... thing it installed. That one's on me and there's now a gate for it. brew upgrade --cask gfazioli/tap/octoscope When a security tool fires on something you did yourself, how many times does it take before you stop

... noticed something while using AI for startup research: It's very good at giving me more things to think about . More features. More customer segments. More competitors. More business models. More growth ideas. At some point, more ideas stop

... script to validate blog drafts before publish. The check was all(validate(p) for p in sys.argv[1:]). Ran it against a 125 file backlog and got back exactly one line of output. all() on a generator expression stops at the first False. Every file after the first failure never even ran through the checks, let alone printed anything. It looked like a clean pass because there was one failure and then silence, not because 124 files were fine. Fixed ... ... evaluating eagerly with a list comprehension first, so every item actually runs and prints. What is a check you trusted was exhaustive that turned out to have quietly stopped

... described this in an r/SaaS thread I started this week and it is the cleanest version of the problem I have seen. Their Symfony app had an exception listener on kernel.exception registered at priority 200. It called setResponse(), which stopped propagation before Sentry's listener at priority 128 ever ran. Every controller exception in the application stopped

... your landing page at least works. But a directory spike isn't a sustainable channel; it's a vanity boost. Quitting just because you need a real distribution strategy is too premature. But another part of me says YES, stop and rethink. If you can get 100 people to look at a solution to their problem and not a single one converts or comes back, then perhaps you aren't solving a real problem ... ... nobody wants to pay for or even use. In a market this competitive, zero organic interest post-launch is a very scary signal that you are building something nobody wants. So, do you stop

... kind request gets one no matter how small. That inverts the usual decay: a fixed threshold goes stale because the world drifts past a number that stopped meaning anything, whereas a deviation gate gets quieter as the pattern establishes itself, which is the direction you want, because the gate stops

... octoscope 0.27.0 the integrity scan stops describing a repo and starts noticing things about it. Before this release the supply-chain scan could only talk in the present tense: here is what auto-executes right now, here is a commit tip that looks forged. Useful if you happen to scan while the implant is sitting there. Useless for the two questions you actually have when a worm is circulating did something change, and what could whoever got in reach ... ... Hopefully a real before-and-after incident history surfaces at some point; it'd be a fascinating benchmark for the delta detection. Comment from Rabnoor Singh(@rabnoor_s): @gfazioli  On how far back to keep it: I would stop

... file more often than any test does, because it forces the model to rank its own confidence instead of flattening everything into the same certain tone. Trust crept back not when the agent got more accurate, but when I stopped needing it to be right and started needing it to be honest about where it wasn't. Comment from Ahmed Khalid(@ahmed_khalid10): For me, it's the security vulnerabilities he leaves in the code that can never be discovered ... ... changed, and what it deliberately did not touch. That feels boring, but it turns trust from a vibe into something you can inspect. Comment from Hisashi Space(@hisashispace): Two of them, and the fix in both cases was to stop

... actually respected you" is a pitch that resonates instantly because everyone has LinkedIn frustration. Rebuilding recruiting with respect as the foundation addresses a systemic problem that affects millions of professionals daily. Your PH launch is active. Recruiting and LinkedIn alternative tools attract massive engagement because the pain is universal and deeply felt across the entire PH audience. We sell PH upvotes at $2 each, comments/reviews/followers at $1. Discounted packages start at $199. Same-day delivery. Let us know reply ... ... browse hightop.social . Best, HighTop Social hello@hightop.social hightop.social 1390 Market St #200, San Francisco, CA 94102 To stop

... Daily reality: Claude Code in one pane, Codex in another, Cursor in a third, plus a few shells. An agent stops and waits for "yes". By the time I find the right pane, 20 min gone. Just me? What's your setup notifications, layout tricks, or you've accepted the tax? Comment from Sansa Grey(@sansa_grey): This is painfully real By the time I find which pane is waiting for approval, I have already lost 20 minutes. I need ... ... Faster visibility would reduce wasted attention. Would you use a feature like that? Comment from Arash Rahimi(@irahimiam): Same problem, different flavor. I keep one pane pinned just for approvals so I'm not hunting across panes when it stops

... pushy or too salesy is simple: lead with the problem They see, position yourself as someone who understands it well, ask their expertise about solving the problem and then offer your product as a better solution or cost effective alternative. This is my formula for promoting my product. You're Free to copy it for your. Cheers! Comment from Brooke Houck(@ai_job_risk_check): I find it very difficult, personally. It s also hard to know what the rules ... ... 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

... product to anyone - buyers, other makers, whoever - gets a lot simpler. And it's a small tweak with a big payoff - naming the problem clearly in your launch messaging can be the difference between people scrolling past and people stopping to actually look. Curious what others think: when you're checking out a launch here, do you look for the problem first, or does the demo/output usually sell you on its own? Comment from Jin Ci(@youliqn): This resonates ... ... learned this lesson firsthand. At first, I found myself talking about Google Calendar sync, custom alarms, lead times, and all the features. The more I explained what the app did , the less compelling it sounded. Then I stopped

... Chrome MCP alone replaced a sourcing headcount. ChatGPT. Second opinion machine. When Claude's output feels too clean, I run it here to see what a different model catches. Wispr Flow. I stopped typing. Talking is 4x faster and my prompts got better the second they stopped

... changed, files touched, assumptions made, and any follow-up risks. I ask for a summary before implementation when the task is risky. I review diffs before accepting changes. For longer tasks, I use checkpoints: stop after planning, stop

... Opening email again. Thinking maybe I missed something. Maybe tomorrow there would be an answer. Maybe next week. Maybe something finally changed. But weeks turned into months. And after enough time something slowly starts changing inside your head. You stop questioning technologies. You stop

... user data. How do you personally view these kinds of services and the way they massively collect and use information about users? In the EU, especially, this has become quite a big topic. Which services have you decided to stop using, or replace with more privacy-friendly alternatives

... with it. "Privacy anxiety isn't irrational. It's the correct response to how the internet actually works." In 2019, a study published in Computers in Human Behavior identified a phenomenon researchers called privacy fatigue a state where people stop protecting their data not because they stopped

... will go first. The meeting where everyone nods and no one disagrees. Not because they agree. Because they have checked out. They do not think their opinion matters. They have stopped investing. That silence is louder than any argument. Here are other non obvious signs I have learned to watch for. 1. The roadmap keeps growing but nothing ships. You have a list of features. It gets longer every week. Nothing gets checked off. The team is busy. Meetings happen ... ... added the features. But the same complaints keep coming. That means you fixed the wrong things. Or you fixed the symptoms, not the cause. The users are trying to tell you. You are not listening. 4. The team stops

... months ago, we noticed something in our data that most product teams would panic about: a group of users who had been highly active for weeks suddenly went quiet. No crashes. No angry support tickets. They just stopped showing up. The instinct was to win them back. Send a re-engagement email. Offer a new feature. Maybe a push notification saying "We miss you!" Instead, we reached out and asked one question: why did you stop

... What' over 'How': It turns your raw idea into an automated ERRC Strategy and a Positioning Map. Zero to PRD: It skips the manual drafting and gives you a high-fidelity PRD & Landing Page mockup in 10 minutes. Stop building. Start validating. The "Founder's Ego" Debate: Here s a question that usually starts a fight: "Is 'Founder's Intuition' just a fancy word for 'Ignorance of Data' in 2026?" Can an AI-driven report ever truly replace ... ... feeling" of a visionary founder, or are we just using "gut feeling" as an excuse to avoid the hard data? I d love to hear your (probably heated) thoughts below. Stop

... Product Hunters, Most e-commerce spy tools on the market stop at the surface. They show you which ads a competitor

... analyzed their onboarding flows, and mapped out where we could differentiate. I thought our competitive advantage would come from being smarter, faster, or more accurate than them. I was completely wrong about where the real competition was. Our biggest competitor was never another AI product. It was the user doing nothing. It was the journal sitting unopened on the nightstand. It was the therapy appointment that kept getting rescheduled. It was the voice in someone's head saying "I will ... ... deal with this later." The moment we understood this, our entire product strategy shifted. We stopped

... 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 ... ... without a single enterprise deal. What this means for you If you're thinking about building enterprise features, ask yourself three questions: 1. Have you talked to 10 enterprise buyers who are not already your customers? If not, stop

... months, we were building features based on what users said they wanted. Feature requests. Sales calls. "It would be great if you added X." We built X. Nobody used it. So we stopped trusting what people said and started tracking what they actually did. The dataset We pulled 12 months of usage data from Rankfender. 1,247 active users. 27 distinct features across 8 modules. We looked at three metrics for each feature: Adoption rate % of users who tried ... ... every day? We tracked the top 10% of accounts by engagement. Their most-used feature was the Workflow Engine. Not because they requested it. Because it saved them time. They built automation for content publishing, citation alerts, and competitor

... 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