... turning out to be messier sometimes a founder, sometimes ops, sometimes whoever's closest to the support inbox. So curious for this community: is qual feedback actually shaping your roadmap today, or is it more of a "nice to glance at"? And when someone on your team says "users are telling us X" who's actually doing the digging, and who owns that insight once it's found ...

... 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 overnight, climb through Slack, glance at the calendar an hour gone before any real work starts. Hand the whole routine over. Connectors team up on a single task, and with a schedule attached, you don't even have to ask: "Every weekday ... ... today's calendar, and post a digest to my Notion." 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 overnight, climb through Slack, glance

... voice assistant. Just like with copywriting or design, product concepts are starting to feel homogeneous. It s as if we re all feeding the same prompts to ChatGPT or Claude, resulting in ideas that seem original at first glance, but are terribly similar once you look under the hood. So my question is:  i f building has become so easy, what makes the real difference? Building a loyal base of believers who stick with you regardless of clones ... ... that doesn't copy is evidence. Not a testimonial wall, the specific stuff: this named person at this company had this problem, here's the number before and after, here's them saying it in their own words. A competitor

... security researcher report what looked like a real vulnerability. Turned out the AI-assisted fix from weeks earlier had shipped correctly, but the researcher's finding conflated two different things, the anon key being visible client-side (expected, normal) versus whether it actually granted unauthorized data access (it didn't, verified by literally running real requests against the live endpoint). Took actual empirical testing to tell the difference, not just reading the code and assuming it was fine. Curious what ... ... others have landed on for verifying AI-generated work before it ships. Do you have an actual process, or is it more ad hoc? What's caught you off guard that a quick glance

... candidate has filled out before I click through. Right now I have to open the link to know if it's even relevant to my role, and that friction means I skip a lot of shares. A quick glance at role, location, and years of experience on the share page itself would make the whole loop way smoother for both sides. Mark as readReplyAward View Upvote 15h ago Unread Metin Tunc the privacy angle here is genuinely interesting, especially ... ... 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

... Solo builder here, using Cursor + Claude Code as basically my whole engineering team. Six months in I still don't have a good instinct for this: some days I let it just run with a whole feature and barely glance at the diff, other days I'm rereading every line like it's a junior dev's first PR. Right now my rough rule is billing/auth code gets the paranoid review, UI and analytics panels get the "looks fine, ship ... ... head right now which isn't great for consistency. Comment from King Joshua Marcos(@moddy): Honestly just trial and error early on. Let it fully own something low stakes, watched what broke, adjusted from there. The billing/auth vs

... rounded bubble aligned to the right with no avatar, while messages from teammates (and from Slack) show their name and avatar on the left so multi-person conversations are much easier to follow at a glance. The assistant s thinking is tidier too. While it works, you see live tool activity; once it s done, the steps collapse into a simple Thought for summary you can expand on hover. We also unified the scroll-to-bottom button across every chat ... ... Basedash s AI analyst is now more rigorous about the kinds of questions that trip up most tools. It s more careful with ambiguous metrics, distinguishes named rates from their supporting deltas, notices when a data source is stale versus

... someone actually feel pain without this?" For us, the problem was equity research taking hours that should take minutes but even that took a few pivots to state clearly. What made you realize you'd found the real problem vs a surface one? Comment from Henry Robt(@henry_robt): I completely agree. The clearest products are the ones that solve a specific problem people already experience every day. Features can attract attention, but a well-defined problem is what creates ... ... user___1702026e6f946759d1d798a): This is also one of the first things investors look for. A polished demo can attract attention, but if someone cannot quickly understand who has the problem, how painful it is, and why the current alternatives

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... gotten thank you. You named something I half-felt but hadn't: rank is a vanity proxy; the signal is pull . All three are buildable from PH data, and they're going on the roadmap: Velocity shape (first 3h vs final) started capturing intraday this week, exactly for this. Engagement depth (unique commenters per 100 upvotes; comment-to-vote over time , not one figure) the "split by depth and timing" point is a real upgrade over the single ratio ... ... conversion-to-signup and traffic source, I'll be straight: PH Radar can't see off-platform data that lives in your own analytics. What it can do is build PH-side proxies that correlate with "real pull vs

... made them succeed or fail? For those who've sold into small/mid-sized businesses, what's usually the biggest blocker to adoption price, integration effort, or something else? Is there a feature here that seems like a "nice to have" versus something that would actually change behavior? Would appreciate any perspective, whether from experience building similar things or just as someone who's dealt with this as a customer or business owner. Comment from Tommy Kang(@sjtkang): What I'm building ... ... worth ad dollars at a tiny budget, and which are a money pit? I'm doing daily build-in-public content on TikTok, YouTube Shorts, and X, but I honestly can't tell yet what's driving downloads versus

... date. Spreadsheets kind of work, but they're tedious and easy to get wrong. Tax Assistant PH is a free web app that handles the heavy lifting: Income & expense tracking log everything in one place 8% flat tax vs graduated rate instantly see which saves you more (TRAIN Law) BIR deadline calendar 1701Q, 2551Q, and 1701 at a glance

... things that made it work, not just demo: The decision of what to build stays human. Only the labor moves to the agent. Labels are the state machine, so I can read the status of any work at a glance. Review runs as a separate loop with fresh context, not the same agent that wrote the code and is now sure it's right. A host-side gate checks GitHub's review threads directly instead of trusting the agent ... ... pointed at newsletters instead of pull requests: say what you want once, and let the system handle the repetitive parts. If you're building with agents, I'd genuinely like to hear where you keep yourself in the loop versus

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... part of them) in that gap pick tools, both well and badly. Part 1: Dashboards, reports, and OKRs are three different things People confuse them. Worth pinning down before any tool conversation makes sense. Dashboards are layouts Someone glances. The job is "what is the state of this thing right now." Rules that hold up: One named owner, one named audience. A "company dashboard" with no owner is a dashboard nobody maintains. Three layers, top to bottom ... ... KPIs at a glance

... limit . It is tied to  plan limits from subscription and usage services , not a raw model quota alone. That way you see  remaining headroom for your billing period , not a mystery counter. Where to find it:  Glance  under the composer or in the header  for the bar and label. After a long chat or a voice session, give it a few seconds to refresh. If numbers look stale, reopen the assistant (offline time can delay ... ... kahana.io/docs/daily-token-usage-bar Related:  https://kahana.io/docs/subscript... |  https://kahana.io/docs/router-as...  |  https://kahana.io/docs/kahana-su... Questions we would love your take on: Transparency Is a visible daily bar enough, or do you want a breakdown by feature (chat vs

... Product Hunt! I got tired of watching the clock during planks. You know that thing where you're 40 seconds into a plank and you glance at the timer, see you have 20 seconds left, and suddenly that's all you can think about? Your form drops, your breathing changes, you're just surviving to the number. So I built Spin Timer . You set a range - say 30 to 90 seconds - and the app picks a random time somewhere ...

... summaries of each piece of context, with a built-in chatbot (supporting Claude Opus, Gemini Flash, and more) so you can actually talk to your memories and surface what matters. Before: clean, but minimal. Not much information at a glance. After: structured buckets, timestamps, and at-a-glance

... After launching Chinilla, I realized something: People understood the idea but they weren t feeling what their system was doing. So I focused on one thing: making system behavior obvious at a glance 1. New visual simulation UX + new sidebar We redesigned the simulation to make every request visible: delivered quick green flash lost red flash filtered purple queues fill orange flash when bottlenecking Instead of reading logs or guessing, you can just watch the system behave . 2. Live team ...

... push. Press s to cycle sort, / to filter by substring. Viewport scrolls so a 100-repo account stays navigable. - PRs tab every open pull request you've authored across every repo. Draft / ready-to-merge / conflicting state at a glance, newest-update first. - Issues tab every open issue you've authored, wherever it lives. Same sort & search idioms as the other two. Plus, coming out of the feedback in the previous PH thread about throttling: - Live rate-limit ...

... genuinely think this can benefit plenty of people. As a student, I realized I was wasting a ton of time clicking through sources just to see if they actually had the info I needed. I built this chrome extension(Glance) to get an instant AI summary without needing to clicking a link. It shows the estimated reading time, Trusted source badge for verified outlets, political bias ratings, Paywall warnings and Article dates which think are really beneficial I d love ...

... your screen, or just walking past? It knows the difference. You can configure Shoulder Guard to detect up to 5 faces at once, perfect for open offices, busy cafes, or any space where more than one person could glance your way. The moment unauthorized attention is detected, your content disappears behind a neutral overlay. They look away, it's back. The entire cycle: under a second. Silent. Invisible. Automatic. And it cannot be fooled by a photo or a video ... ... falls back to your system password. Security is never compromised for convenience. Real situations where Shield changes everything. You are in a cafe working on a confidential project. A stranger sits next to you and glances

... Overview We scanned 1000 random Product Hunt project URLs using the DLX7 free security scanner. The results were highly consistent. Most applications landed between C and B. At a glance, that appears acceptable. It is not. What the Scores Actually Reflect Across the dataset, transport security was generally strong. TLS, HTTPS, and certificate chains were properly configured in the majority of cases. This is what drives the C to B range. These scores reflect transport integrity, not full application security ... ... default. That distinction is where risk accumulates. DLX7 Positioning DLX7 is designed to expose this gap through externally observable signals and contextual analysis. It does not rely on assumptions or internal claims. It surfaces what is actually enforced versus

... Week. We know it s a very daunting task, but we try to reach for the stars like the many great PH Makers before us. Every upvote, comment, and review helps us get there. If you ve tried Honestly, glanced at our website, or just thought we had a wild launch story, we d love your feedback on our Product Hunt page :) Oh and if you hit bugs, have ideas, want to connect, or just feel the need to tell ... ... else? Comment from Arun Tamang(@arun_tamang): Curious how much of that early traction translated into actual usage, considering the bugs and broken flows. It s a strong signal either way, but the difference between people checking it out vs

... notes into long-term memory using calm, daily recall without pressure. I m genuinely looking for early feedback from people who build or learn regularly. Things I d really appreciate feedback on: Does the idea make sense at first glance? Is the flow intuitive? What feels unnecessary or confusing? Would this be useful in your own learning routine? Link: https://karkai.world Thanks for reading and thanks to this community for sharing so much practical knowledge ...