... DrawNames) has the same flaw the organizer can always view assignments. Their "anonymous" gift exchange isn't actually anonymous. So I built one where the architecture makes peeking impossible: Server-side draws (Sattolo's algorithm + crypto randomness) PIN-gated reveals (bcrypt hashed) One-time view name burns away in 10 seconds No accounts, no emails, no tracking Even I can't see who got whom. That's the entire point. What I'd love your honest feedback on: Does ... ... tear/burn reveal

... There's a pattern I keep noticing across the AI products that actually stick with people vs. the ones that get tried once and forgotten. The forgettable ones try to be impressive. They show off what the model can do -- generate faster, automate more, produce output at scale. And they're genuinely cool for about 15 minutes. The ones that last? They help you see something about yourself you couldn't see before. I've been thinking about this ... ... think The common thread: the AI disappears. The user's own understanding is what remains. For anyone building in this space -- what's your experience? Are you designing your AI to produce things, or to reveal

... Product Hunters, Most e-commerce spy tools on the market stop at the surface. They show you which ads a competitor is running or estimate their monthly traffic. They tell you what your competitors

... 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 ... ... using. They "sounded interested." That's not the same thing. Your rule "no enterprise features until someone pays first, not asks" is exactly right, and it applies to every feature at every tier. The 47 API rate limit requests vs

... building TicketBridge, a workflow for early-stage B2B partner discovery. The problem I m trying to solve: a lot of partnership outreach fails because the ask is vague, the partner type is unclear, or too much context gets revealed too early. The current workflow is: describe what you have describe what you need describe what you can exchange define what should stay private get a more structured request instead of messy cold outreach only reveal

... visibility (GEO) showed zero correlation with actual discovery rates. What worked instead: Build the SEO foundation first. Community signals second. LLM visibility follows. Finding #3: Discourse Broadening Wins An ESMT Berlin study of 9,746 Product Hunt launches revealed something fascinating. The concept: "Discourse broadening" how founders reply to commenters determines silent audience support. Strategy Audience Support Minimal replies (just answering) Low Calibrated broadening (acknowledge + add adjacent perspectives) High Excessive broadening (blurred message) Low The sweet spot: Acknowledge the commenter ... ... language people actually ask , not just what they type . Finding #5: One URL Can Carry You For Superwhisper, one single Product Hunt URL drove 1.6% of their ChatGPT visibility and 5.5% of Google AI Overview visibility. Compare that to competitors

... 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

... According to @RevenueCat 's State of Subscription Apps 2026 report, " hard paywalls convert 5x better than freemium, but with significantly wider variance." Day 35 download-to-paid, freemium vs. hard paywall Does access method impact download-to-paid conversion within 35 days? Quoting the report: Median D35 conversion sits at 10.7% for hard paywalls. Freemium is 2.1%. That gap alone should make you pause. But the more revealing

... AIFlow hard-codes this into every analysis. Before surfacing solutions, it runs an Inversion Check : "What actions would make this problem significantly worse? What are the failure modes hiding in plain sight?" For a user retention problem, inversion might reveal that your onboarding flow is systematically teaching users the wrong behaviors in their first 48 hours something that no amount of feature improvement will fix. Avoiding failure is often more tractable than chasing success, and inversion makes the failure modes ... ... create tension with each other? (Those tensions are where the most important trade-offs live.) For example: Feedback Loop analysis might tell you to add more in-app notifications to re-engage disengaged users. But Loss Aversion analysis might reveal

... that sounds weird with your family name Poll Maker (super easy for guests) Make polls for baby name, gender, due date, or anything custom Share one link and people vote with no download and no sign-up Online Gender Reveal Countdown + polls + optional comments Guests join by link, again no download needed Verified naming data (credible trends) We start with official U.S. Social Security Administration baby name records, so trends are based on real data (not random lists) Privacy ... ... focus on making the core experience really good. I want your honest feedback What would you add or change first? What feels missing for parents in the first 9 months? Would you use it for names, for polls, for reveal

... Audience Understanding methodology and validated by YouTube's official creator guidelines , this guide provides everything you need to transform your channel from guesswork into predictable science. Why Most YouTube Growth Strategies Fail Pew Research Center's social media study reveals that 68% of content creators struggle to build sustainable audiences. The primary culprit? They're optimizing for vanity metrics instead of viewer psychology. Having guided millions of creators through channel growth, we've identified the critical factors separating success from ... ... competing, they were filling a verified gap. Phase 2: Viewer Psychology Mapping Critical Success Factors: Use Channel Insights to decode your specific audience's emotional triggers and content preferences Map viewer journey patterns showing what keeps people watching versus

... Ever notice how some days everything flows and others feel like resistance? That rhythm isn t random. TETRAOM blends Human Design, Astrology, and the I Ching to reveal your personal timing when to act, rest, or reflect. We ve just launched recently, and I d love to hear your feedback if you ve tried it. How does your day tell you when it s time to pause or push ...

... been playing with AI chatbots for months, and they're all... aggressively helpful? Like, they just want to be your friend and agree with everything. Where's the drama? Where's the "oh SHIT" moment when a character reveals they've been lying to you the whole time? So my co-founders and I built Caffy.io . What it actually is Imagine if AI characters could: Keep secrets from you Have hidden agendas Lie to your face Reveal

... Scammers targeted a crypto influencer, taking control of their phone number and then resetting passwords on exchanges, resulting in hundreds of thousands of dollars stolen overnight. Fake Customer Support Calls Criminals pose as telecom company support, tricking victims into revealing sensitive info to "confirm their account," ultimately facilitating a SIM swap attack and draining crypto wallets. Social Engineering Via Mobile Provider Scammers pretend to be the victim, calling the mobile provider claiming their phone was lost. The provider unknowingly transfers ... ... endorses the mining service as an easy route to wealth. In reality, the celebrity s image is stolen, and the endorsement is entirely fabricated. False Hardware Claims A website posts photos of massive mining farms, but reverse image searches reveal

... Does anyone know when or if the vote count will be displayed for the Golden Kitty Awards? Thank you in advance! Comment from Nicolas Garcin(@nicolas_garcin): @busmark_w_nika No reveal at 1 PM CET. Do you remember how it worked last year? Is there a vote reveal