... leadership." Copy, paste, post. Zero lived experience, zero original thought. It's just AI slop in a blazer. AI-written emails to people who matter. Your client can tell. Not because the grammar's off because the warmth is. VS GOOD AI JUDGEMENT Using AI to actually look at what a candidate did. Not keyword-matching a CV pulling apart their portfolio, cross-referencing their claims. You still decide. You just decide better. Using AI to draft, then making ... ... peer review paper, but in a world where we have very limited quantifiable research, it's saying something. Actually let me dig up the article we published on it... Here it is: https://aisa.to/ai-fluency-index Comment from Ozan(@ozandag): @aria

... something like beetween 1min and 1min30 and higgsfield prices are very expensive, do you think it's worth it for this kind of videos ? Comment from Moss Ab Mirande-Ney(@moss_ab_mirande_ney): @joseph_walker2  But what alternatives in the workflow you recommand ? Comment from Joseph Walker(@joseph_walker2): For a 1- 1.5 min ad, I'd test it on a few key shots first . If it saves enough time in production to justify the credits, then ... ... worth it otherwise, I'd keep the workflow lean. Comment from Moss Ab Mirande-Ney(@moss_ab_mirande_ney): @aria

... Product Hunt community! I just open-sourced ARIA under the BSL 1.1 license: a voice-native, air-gapped 3D spatial AI SOC (Security Operations Center) cockpit. Enterprise data sovereignty regulations in regions like the GCC strictly prohibit banks, government entities, and defense contractors from piping internal threat telemetry into cloud-hosted LLM endpoints. On top of that, standard security dashboards are static, text-heavy relics built in the 2010s that overwhelm analysts during live breaches. What makes ARIA

... file and a free account on a flipbook platform. No conversion software, no plugins, no manual page setup. Step 1: Prepare your file. You have two options. Upload your .pptx directly, as most modern flipbook platforms accept PowerPoint natively. Alternatively, export your presentation as a PDF using File > Export > Create PDF/XPS in Microsoft PowerPoint, then upload that. If you take the PDF route, ensure images are embedded rather than linked and custom fonts are preserved before exporting ... ... relations teams use it to embed presentations directly on their websites rather than hosting a downloadable PDF. The accessibility layer is the part most teams overlook until they need it. A properly converted flipbook includes WCAG 2.2 AA compliance, ARIA

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... eigenst ndige Pr senz wirken kann, ist https://der-arkadenhof.at/ . Comment from YekSoon Lok(@ys_askodin): Having operated on both sides of the table as an allocator and a founder, I view this through a different lens. The binary of "personal brand vs. product" is a distraction. The actual prerequisite is Thesis and Positioning . At askOdin, before we wrote a single line of code for our Deterministic Compiler, we established the exact taxonomy of the market. We identified that the last mile ... ... there's probably nothing more efficient than a founder led audience. You're borrowing trust you haven't earned yet as a brand, and that shortcut can be the difference between getting your first 100 users in a week versus

... built ADAGuard to provide 74% automated coverage using a proprietary 19-checker system. It s built for speed you can audit subdomains and entire sites in a few clicks. If you ve ever struggled with WCAG compliance or ARIA labels, I d love for you to check out what we ve built and give me your most brutal feedback. I'm here to answer any technical questions about the architecture too! Check it out here:: https://www.producthunt.com/prod... ...

... 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 ... ... that assumptions are incredibly expensive. Building for the customer you want instead of the customer you have can drain months of focus and budget. What really stands out is the contrast between 47 real requests for API limits 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

... from "tell the agent what to do" to "give the agent intent and let it plan" that's actually closer to how human teams work. We're navigating a version of this in a totally different domain with Hello Aria, our AI personal assistant (WhatsApp/Telegram/iOS). Users don t give Aria

... that becomes part of your actual workflow. The concept of "approvals before execution" is underrated it keeps automation safe without removing the human in the loop. We ve been thinking a lot about that balance at Hello Aria (our AI day manager, launching soon on PH) how much can an AI do autonomously vs

... wrong At the same time yeah, the future does look a bit scary if you think too far ahead. Comment from Sai Tharun Kakirala(@sai_tharun_kakirala): Great question, and honestly something I think about every day building Hello Aria (our AI assistant that manages your day via WhatsApp and iOS). Right now, AI works for us - it handles reminders, task management, calendar syncing, all conversationally. The humans helping AI when stuck model is fascinating - suggests a hybrid where value ... ... humans wholesale, it is humans doing micro-tasks without context or agency. The positive version is AI handling the cognitive overhead so humans can focus on creative, relational, irreplaceable work. That is the bet we are making with Hello Aria

... really important observation. Engagement metrics often optimize for stickiness over actual value they measure how often people come back, not whether the product is making their life better. We have been thinking about this a lot with Hello Aria. It is an AI assistant that runs inside WhatsApp/Telegram and manages your day. The temptation is to track DAU, session length, message count. But the metric that actually matters is: did someone accomplish what they set out to do that ... ... hide behind. If the product promise is clarity, confidence, or better decisions, then measuring time spent can easily reward the wrong behavior. Comment from Mona Truong(@monatruong_murror): @sai_tharun_kakirala   Really appreciate this perspective, Sai and Hello Aria

... reminders based on when each user is most likely to lose their streak. Lot's more insights like this to follow! Happy building! Charlie Comment from Miles Anthony(@miles_anthony2): What % of users, actually recovered their streak after breaking vs churn completely? Comment from swati paliwal(@swati_paliwal): This is quite interesting. Have you pinned the most common reasons? Comment from Charlie Hopkins-Brinicombe(@charlie_hb): @judit10  Exactly right, that's why peronsalization of experience is so important. Comment ... ... much sense - the week is done, the discipline loosens, and the habit that felt automatic Mon-Thu suddenly feels optional. The Wednesday spike is more interesting to me - mid-week energy crash? I see something similar with Hello Aria

... what the big unlock in the new version will be. Hoping for better AI integration and maybe smarter app suggestions based on time of day or current project. On the AI-in-workflow front, we have been building Hello Aria (launching April 10th on PH) which manages your day entirely through WhatsApp/Telegram same core problem: your AI assistant should meet you in the tools you already use, not force you into a new app. Raycast does this brilliantly ...

... competitive than people realize because the evaluators know the market deeply. Building in public, getting on lists like this, it is all part of making the startup journey legible to others. We have been seeing something similar with Hello Aria as we approach our Product Hunt launch (we launched April 10th), the PH community recognition has been huge for building credibility. ~3k users and counting! Cheering you and @arthur_romanov on. Go get it! Comment from Tim(@timcha_cherkasov): @busmark ...

... 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

... months, our most requested feature at Murror was a chat function. Users wanted to talk to the AI the way they talk to a friend. It seemed obvious. Every competitor had it. Every feedback form mentioned it. So we built it. And within two weeks, our core metrics started dropping. Session length went down. Return rate went down. The thing users said they wanted was actively making the product worse. Here is what we discovered when we dug into ... ... Tharun Kakirala(@sai_tharun_kakirala): This hit close to home. The gap between "most requested" and "most valuable" is one of the trickiest things to navigate in product development. We ran into a version of this with Hello Aria

... subscriptions no longer cover usage on third-party tools like @OpenClaw . If you were running your agent with @Claude by Anthropic , curious what option you'd pick: would you pay the extra bundle? pick another provider? or use an alternative like @KiloClaw or @Zo Computer ? Comment from Luca Ardito(@luca_ardito): I m seeing more builders realize that cheap enough to test and safe enough to run daily are two different decisions. Would love to hear if anyone here found ... ... unable to do? Comment from Priyanshu Singh(@priyanshu_singh23): Feels like this will push people to rethink their stack more than just swap providers. A lot of setups were built assuming bundled access. Now it s more about control vs

... companies at the center. The real bottleneck may stop being production and shift toward attention, credibility, and demand exactly the issue you re pointing at with "who will buy all this?" So the interesting question may be less solo vs. company and more "who owns trust and distribution in an AI-abundant market?" Comment from Paulinus Jua(@paulinus_j): I actually think teams even at smaller scales, will still win because two human heads are always better than one, even ... ... full marketing operation without the headcount. Still, I think the ceiling for solo is real. There's a point where relationships, trust, and accountability at scale require humans in the loop. The answer probably isn't solo vs

... evidence customers are asking for this. Without these, this is a cost center disguised as a feature." We pulled our customer call transcripts from the past six months. 147 calls. Not one mention of Platform X. We pulled our competitor tracking data. Not one competitor

... more intentional. So yeah, users want genuinely useful features not just features for the sake of features. Comment from Sai Tharun Kakirala(@sai_tharun_kakirala): This really resonates. We went through the exact same phase building Hello Aria shipping fast, celebrating deploys, treating velocity as the metric. The real turning point came when we slowed down and did user interviews. Turns out people didn't want more features, they wanted the ones we had to feel more reliable and personal ... ... ship without intent at every stage. The reframe I've found useful: speed is about iteration cycles, not deployment frequency. You can ship slowly but learn fast if you're deliberate about what you're testing. Building Hello Aria

... time test? Comment from Sai Tharun Kakirala(@sai_tharun_kakirala): Alpha Day is a great concept giving indie builders a dedicated spotlight makes a real difference when big-tech launches otherwise dominate the leaderboard. We launched Hello Aria on April 10th (AI assistant for WhatsApp/Telegram, ~3k users). The launch energy on PH was incredible and the community feedback directly shaped the first week of post-launch iteration. Special days like this would have been even better ... ... Alpha Day feature is not working for me. Why is my product not showing up or being recommended to others? Comment from Felipe Daguila(@felipe_daguila): great initiative @aaronoleary Any article or guidelines to define what is an Alpha vs

... product and growth depth. For AI-specific thinking, I have been listening to No Priors a lot lately - really sharp guests. One underrated one: Invest Like the Best when they do founder episodes. As someone building Hello Aria (AI daily assistant via WhatsApp and iOS), I also find a lot of value in older Tim Ferriss episodes with operators - the founder mindset stuff ages well. The problem is I have more podcasts in my queue than I have walks ... ... Podcast best product/growth content. His interviews with founders who actually built things (not just raised money) are gold. Latent Space if you're in the AI/ML space, this is required listening. Deep technical conversations about what's actually working vs

... Comment from Sai Tharun Kakirala(@sai_tharun_kakirala): My workflow has evolved a ton this year. I used to dump research into Notion, but context gets buried fast. These days I pipe key findings directly to Hello Aria (our AI assistant, launching on PH April 10th) it keeps context across conversations, so when I ask "what did we figure out about X?" it actually knows. For longer deep-research sessions I still markdown-export and tag by project. The insight ... ... with Gemini Studio App. The markdown-export-and-tag-by-project flow you described is perfect, and with v1.5.0's Folders that organizational step is now built directly into the extension before you even export. Congrats on the Hello Aria