... while now, and I keep seeing the same pattern: most people are using AI the same way they used the early internet. They read, they search, they ask questions. But they're not really building or automating yet. And that's not a criticism. The internet took years to go from "browse pages" to "infrastructure that runs everything." AI is moving 10xfaster, but the adoption pattern is the same. Here's what I'm seeing across the community: Stage ... ... things. They write code, research topics, process files. But they're still switching between tools, copy-pasting context, managing each agent separately. Stage three is what I think is actually next, and almost nobody's talking about it yet

... actions over time. It s based on a problem I ve experienced myself, and (as bad as this might sound) I m hoping I m not the only one who has this problem. The product isn t fully finished yet, but the core functionality is already working well enough to serve as an MVP. The remaining features will be blurred out as Pro features with an upgrade button that will actually lead users to a waitlist. At the same time ... ... maximise the chances of people discovering the extension, installing it, and ideally joining the waitlist? And one more thing: do you think this idea has the potential to succeed? P.S. I do not have a landing page yet

... Have you tried it yet? Grab your copy now. Super easy to set up, very low layout intrusion and not dependent of any core file. All in one place. FREE Download! https://seoauditor.one All feedback is welcome ...

... insights, Nolan! The "why now" friction is definitely the biggest nut to crack here. From what I m seeing, it s a mix of both, but it leans heavily towards the "I don't trust there s enough liquidity yet" side. Founders are hesitant to fill out a profile if they feel they'll just hit a ghost town or waiting room. To combat that, I'm currently experimenting with a few things: Value before signup: Testing ... ... actually our default case almost every startup someone researches is private. We never rely on one source, so when the company's quiet we triangulate from what leaks anyway: funding data, hiring feeds, founder track record, third-party reviews, competitors

... apps that benefit you. The key difference is that important things take priority, while entertainment becomes more enjoyable because you feel like you ve truly earned it. You can learn more and join at https://www.ravelo.app/ (no beautifull screenshots yet, just leave your email to receive an invitation) Share your feedback: is the UI/UX user-friendly? What bugs do you encounter while using it? What could be improved? I really want to make my solution which will be as convenient ...

... point it at agents that act in the world. Aadil does Pushary let you gate specifically on irreversibility (this step touches the outside world always ask) vs gate-everything? That selective ask is the whole game for real-world agents. Comment from Dogan Akbulut(@doganakbulut): @busra_seker1  Yes, knowing whether it finished vs

... around Apple's in-app purchase system for iOS users. This includes linking to a web checkout, mentioning your website's pricing, or showing a "better deal available at [yoursite].com." The review team flags this with real consistency. Yet nearly 50% of AI-generated code fails relevant security and compliance benchmarks and IAP handling is one of the most frequent failure points. 4. Content rating mismatches You rated your app 4+. Your app has a user-generated content section ... ... tells you when a change affects your specific app . Not a newsletter. A targeted alert: "Your current authentication flow now triggers a violation here's how to fix it." We're in early access right now. Not launching publicly yet

... OAuth state vault design room is installed. The latest migration approval gate is now installed for the future Shopify OAuth state vault. Where we are now: Blaze can now preview the future Shopify OAuth state lifecycle without storing anything yet. That includes: issuing a future state receipt binding state to tenant/workspace/store/operator context showing fingerprint-only receipts previewing one-time-use state consumption previewing replay rejection previewing expired state rejection previewing session mismatch rejection previewing rollback posture showing the future migration ... ... structure before it is created This is intentionally not live OAuth yet

... OAuth state vault design room is installed. The latest migration approval gate is now installed for the future Shopify OAuth state vault. Where we are now: Blaze can now preview the future Shopify OAuth state lifecycle without storing anything yet. That includes: issuing a future state receipt binding state to tenant/workspace/store/operator context showing fingerprint-only receipts previewing one-time-use state consumption previewing replay rejection previewing expired state rejection previewing session mismatch rejection previewing rollback posture showing the future migration ... ... structure before it is created This is intentionally not live OAuth yet

... problem selling these things, because they cannot "give someone keys" to their personal profiles. Which opens the question: Which approach brings more advantages in your opinion? Comment from Stan Kolotinskiy(@sk_uxpin): If nobody knows who you are yet (i.e. my personal case), the brand-first approach is IMV mostly just self-promotion with nothing behind it. Shipping something real and useful (probably quite hard nowadays, hahaha) at least gives people a reason to care about the person who built ... ... think "build the brand" advice sometimes becomes an excuse to not build the hard thing. Comment from Piyush Gajrani(@piyush_teq): @busmark_w_nika Most founders don t fail at brand vs

... running Contral as a pilot in their CS programs. The idea of students learning to code inside an actual IDE instead of switching between a tutorial and an editor resonated hard with the professors we spoke to. Nothing signed yet but the conversations are real and moving. Bug reports have been humbling. Our early users don't hold back and thats exactly what we needed. We've shipped fixes almost daily since launch based on real user feedback. The product ... ... semester. To everyone who upvoted us on launch day, downloaded the beta, reported bugs, joined the Discord, or just sent us a DM saying the idea resonated, thank you. If you downloaded the beta and haven't tried it yet

... powered crawlers index it. Humans are being removed from the loop entirely . The gap between impressions and clicks is widening. In freight and logistics alone, a study of 28 companies found that every client improved their average ranking position, yet clicks declined for 8 out of 11 . Google is surfacing sites more prominently than ever. Users are choosing not to click. The gap between growing impressions and declining clicks is the clearest measurable signal of AI Overview capture . AI referral ... ... traffic. According to a 2026 survey, 40% of SMBs have experienced traffic disruption due to Google's algorithm changes and AI Overviews. The larger the business, the larger the hit 46% of companies with 11-100 employees saw declines . Yet

... this handled for them. Anyway. two questions for anyone who's already on it: 1. if you run agentic pipelines on the API, what's the worst migration pain you've hit? 2. anyone sizing task budgets in production yet? how are you picking the number? full writeup here if you want the details: https://buildthisnow.com/blog/mo... Comment from James Swift(@splitpostio): On task budgets, I'm not sizing them yet

... requests Keep, enhance later Social/Community Engine 14% 4% 19 requests Delay, needs more validation RASE (app store tracking) 11% 3% 22 requests Delay, low retention signal Ranklink (backlink discovery) 9% 2% 24 requests Delay, not sticky yet The features people asked for most (RASE, Ranklink, Social Engine) were used by less than 15% of users. The features they barely mentioned (Workflow Engine, RAIVE, RCGE) had adoption rates above 68%. What we learned People are terrible at predicting what they ... ... 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

... 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 ... ... absence partly because of stories exactly like this one. Curious in hindsight: did even one of your existing paying customers ask for the enterprise tier, or was it 100% a hypothesis about a market you hadn't talked to yet

... 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

... products are AI agents actually choosing today? A few things we re starting to see: 1. Agents don t pick what devs say they like They pick what they can actually execute. For example: Resend often gets picked over alternatives for transactional email not because of branding but because it s easier to use, faster to integrate, fewer blockers This feels like a different layer of competition: execution > preference 2. We started running task-based comparisons We define tasks ... ... actually do best) Open question Feels like we re moving from: products built for humans to products that need to be usable by agents Curious how others are thinking about this: Are you designing your product for agents yet

... they have an optimized website, and if they are showing up in AI search results like ChatGPT, Google AI Overview, and Perplexity. Each business gets a Need Score (0-100) so you instantly see who's desperate for help vs. who's already handled. No more guessing. But I didn't want a data tool; I wanted a closing tool. So I built four workflows directly into the platform: 1. Decision-Maker Contact Reveal: This was the feature I wish ... ... Call Booked Closed. No switching to HubSpot or a spreadsheet; your entire pipeline lives where your leads live. 4. Market Intelligence Charts: Each scan gives you a full analytics dashboard rather than just a list. You get an SEO vs

... involvement of the user paid = depth, scale, automation, prioritization, with more involvement from the user to drive value If you gate too early and then conversion will suffer. Users can t pay for value they haven t properly felt yet. Comment from David(@linkbotlabs): For me it s all about generating users and offering a product that people like to use , especially beginners . My free tier has an incentive game element , however I am happy for some developer funds ... ... habit lives vs

... great principles, that since leveraging AI, have made the user experience even more delightful. We hope to be a part of the latter. It's first worth mentioning that BuiltDiffernt stands alone as a standard cold email scheduling tool. Yet what many standard cold email tools (think Apollo, Instantly, etc) lack (in my opinion) is the ability to see what's going on behind the "black box" once your emails go out. Not to mention that many small business owners ...

... just basic API integration, not external libraries). Authorization is via 'pundit' gem. Comment from Vova Lavrik(@vova_lavrik): I've spent a lot of time building smaller tools and Chrome extensions, but today I m launching my biggest project yet: Vynly (you can check my maker badge for the launch!). It s a social platform dedicated to AI imagery and agent content. Stack-wise, making the jump from lightweight extension architecture to a platform that can handle fast AI agent ... ... resolved. P3+ can wait. I'm developing what I call the AGENTS.md loop drop in your spec, prompt, and agent config, go to sleep, wake up to a working app with no security holes. It's not perfect yet

... that I can help as many people as possible stop being controlled by caffeine, and let it propel them to do great things. The new version of Clarity will do just that. I won't discuss the features just yet, but there are LOADS. We also have partnerships coming with brands that know the caffeine content of their products. There are some other 'caffeine trackers' out there, they all use the same data set. Clarity is a performance app centred ...

... line at automated decision-making for high-stakes relationships. I wouldn't let an agent handle a sensitive conflict or a critical negotiation on my behalf, as the "human nuance" and accountability are things code just can't replicate yet. Where do you think the line is between "convenient automation" and "losing personal agency"? Comment from Dechefini Lahrmann(@dechefini): honestly same. one thing I keep running into isn t even autonomy risk. It s tiny structural failures in agent output ... ... written draft sitting there changes the task from "compose a thoughtful response" to "review and tweak." Way less cognitive load. We also added confidence scoring to each draft so you can quickly triage which ones are ready vs

... Learning to code or learning how to use AI is important, but what matters even more is learning how to solve problems we haven t even discovered yet. Recently, I read an article featuring Nvidia CEO Jensen Huang, where he said: Nothing would give me more joy than if none of our engineers were coding at all, and they were just purely solving undiscovered problems. That idea really stayed with me. In the AI era, writing code is becoming easier ...

... Despite their immense popularity in China, SuperApps (multifunctional platforms that combine services like messaging, payments, shopping, and more into a single app) have yet to gain significant traction in the United States. This discrepancy raises intriguing questions about cultural differences, technological infrastructure, and consumer behavior. One key factor is the fragmented nature of the United States' financial and tech ecosystem. Unlike China, where Alipay and WeChat Pay dominate the market due to a unified financial system and government support ... ... country s strict data privacy laws and financial regulations make it difficult for foreign companies to operate seamlessly across state lines. This contrasts sharply with china s more lenient regulatory environment, which has helped SuperApps thrive. SuperApps have yet