... need it. When we segmented, the cancellations were concentrated in users who had been inactive for 30+ days. The newsletter was reminding them they were paying for something they were not using. It was not causing churn. It was revealing it, on a schedule. We added a "you have not used this in a while here is how to get started again" email that fired before the newsletter for inactive users. Cancellations on newsletter day dropped 22%, and reactivation among ... ... inactive users rose 9%. What email are you sending that is revealing

... moments where we wanted to say something to someone especially in college but stopped ourselves because "what if they know it's me?" So I built an app around that idea. sayitfreely.vercel.app/instagram You can start a conversation without revealing your identity. The other person gets curious about you, so they can continue the conversation and slowly get to know you. If you both vibe, feel comfortable, and actually want to know who s behind the messages, you can reveal

... Product Hunt is more of graveyard for launches than a hunting platform like i think the amount of launches that gets buried just because they didn't get a fair chance is scary and the 4 hrs no upvotes revealed to give everybody a chance lets be real no one will scroll down 20 times to find your product i am new to the platform to be hones can anybody explain this part ...

... great discussion recently about building a personal brand before the product is even ready vs building the product first and revealing

... retrospective board. Enough has changed since that it is worth a summary for anyone following the product. Planning poker. Estimation now lives in the same workspace as the retro: import a sprint from Jira or Linear, vote, reveal, and write the agreed estimate back to the tracker. Two deliberate limits an estimate can never be typed in by hand, it only comes from revealed

... Most workflow tools measure completion. I ve found that a recurring task deferred several times can be more revealing: it may point to an unclear handoff, unrealistic timing, or a dependency no one named. What is one recurring task whose repeated deferrals taught you something important about how your team actually works ...

... shows you your visibility, share of voice, and citation rates across each platform individually . This allows you to see exactly where you win and where you are invisible, with the granularity required to understand each platform's editorial identity. Competitor Intelligence: The platform automatically detects competitors

... Expose Your Competitors Best Ads In 10 Seconds (Without Spending $500 On Spy Tools) Stop guessing what works. AdSpy Pro reverse engineers winning ad angles from any competitor

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... 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

... were only concerned w/ my wellbeing I'd do the same, but when I have others I'm responsible for, and they themselves have mouths to feed, I think differently about the long term effects of my brand vs my company/product. Comment from Gabe Moronta(@mogabr): @kabirsalunkhe   @busmark_w_nika   @deangelo_hinkle   @henry_lindsey  Henry, I don't think you separate it, especially when you built it around your brand/identity. You just sort of outgrow ... ... harder. The people who did it right in our space had been posting about the problem - fragmented tools, notification overload, managing life through 10 different apps - long before they revealed

... 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 ... ... this most right now? For us it was solo builders who can't also become full-time marketers. Smaller users, faster feedback loops, and they tell you what's broken in hours not quarters. Your table comparing build time 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

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... 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

... 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

... Getting useful feedback is one of the challenging parts of building a product. You want to know if people will ...

... 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

... think that results were visible from the very beginning. This is something new to me. Comment from Nicolas Garcin(@nicolas_garcin): @jessicayoungq - ok good to know! Thanks very much 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