... movies in a row, with a badge for solving 7+ And yes, I learned a few things the hard way. Things I got wrong 1. People didn't realize events were multi-round. 34% of event visitors bounced after round 1 because they thought they'd finished the game. I added an intro explaining the full event + a progress card between rounds. Completion is already improving. 2. Paid acquisition brought traffic, but not retention. Google Ads: 1,560 clicks ... ... /click for ~$200. Instagram ads brought another ~3,000 visitors according to referrer data. But 88% bounced

... often in a hurry. They need to order bandages, digital thermometers, or diagnostic kits quickly, and they do not want to wait for heavy scripts to load. The slow load times were hurting their conversion rates, and their bounce rate was climbing past sixty percent. After checking their server logs, I realized the problem wasn't just their hosting. It was the massive pile of database queries, dynamic plugins, and unoptimized assets loading on every page view. I suggested ... ... thrilled. They tried loading the new store on their personal phone and could not believe how fast it popped up. Within forty-eight hours of launching, we noticed a positive trend in our Google analytics logs: our overall bounce

... added around that one path? Comment from Alexander Eliot(@alexander_eliot): No revenue-loss story to match this since we're pre-revenue, but the same shape hit our deliverability instead of our billing: an AI-run outreach batch bounced 17 of 36 sends (47%) to real business inboxes, then the AI-authored "fix" just guessed a different address prefix at the same domains and bounced

... down immediately on aggressive paid distribution or spend those first weeks refining onboarding based on launch feedback. From analyzing recent SaaS releases, a recurring pattern shows up: startups often see high top-of-funnel traffic during launch week, but bounce rates spike on cold channels (like LinkedIn or Meta Ads) because abstract AI features are hard to demonstrate visually in under 15 seconds. On the other hand, focusing purely on product tweaks without an active acquisition engine quickly kills launch ...

... their rope, that's where you lose them. This release pulls it inside a "Redeem a code" row opens Apple's native sheet over the app (RevenueCat's presentCodeRedemptionSheet underneath), and on success the entitlement just flips. No bounce out, no coming-back-and-wondering. What I keep turning over: how much redemption friction is Apple's rails vs

... inside the inbox. We're relaunching on Product Hunt soon with a lot of new features, and before we do, I wanted to open the floor. We've spent the last year deep in email infrastructure SPF, DKIM, DMARC, bounce handling, deliverability tuning, bulk sending, cold outreach sequences, white-label hosting, IMAP/SMTP, the works. If you have questions about any of it, ask below. Happy to go as deep as needed. Cold email deliverability and domain health AWS SES vs

... more than any UI polish did. So yeah, I d say naming the problem is the actual unlock. The demo just has to not get in the way of it. Comment from Viraj Parab(@viraj_parab): StartupHQ to organize competitor research, validate ideas, and keep my roadmap focused. It removed a lot of the "what should I do next?" moments. Now the challenge is exactly what you mentioned: getting distribution right. Comment from Mincheol kim(@mincheol_kim): @anna_ludwinowski ... ... Kozlo(@wvitalik): I look for the problem/need first. However, note that some products are solving the problem of a bad existing UX and user interface (think about the goal "to manage virtual private servers" and solutions via the terminal VS

... 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

... 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

... have dashboards. Lots of them. Google Search Console. Google Analytics. Your CRM. Your email platform. Your ad manager. They show you numbers. Rank positions. Traffic volume. Bounce rate. Session duration. Conversion rate. Backlink count. Domain authority. You spend hours looking at them. You compare numbers that will never match. You try to find the signal in the noise. Then what? Most of the time, nothing. You close the tab. You move on. You do not know what to do next ... ... does not tell you what to fix first. It does not tell you which opportunity to chase. We realized this when we looked at our own dashboards. We had 267 keywords tracked. 78 pages audited. 25 competitors

... with the same thing: "AI-powered self-compassion." It checked all the boxes. AI was the hot keyword. Investors loved it. It felt modern. But our conversion rates were mediocre. People would land on the page, skim, and bounce. When we finally sat down and asked churned users why they left, the answer surprised us. It wasn't that the AI wasn't good enough. It was that they never really understood what the app would do for them ... ... about how it works. They care about how it makes them feel. Glad the distinction resonated with you. Comment from Mona Truong(@monatruong_murror): @edikan_peters   Love the fintech example that really nails it. "Real-time transaction monitoring" vs

... Audits in this thread for the next 30 mins. Drop your URL and I ll tell you: If your headline is a "Ghost" or a "Hook" . Where your biggest Trust Leak is located. The #1 fix to stop the bounce. Let's fix your conversion: https://roastmylanding.vercel.app/ Comment from Janet (@janetbuilds): Launching Ligara on Product Hunt this Wednesday ligara.bio a modern creator platform for managing your entire digital presence. Would love your take on where our biggest trust leak ... ... before launch. Currently sitting at 70% bounce

... kept bouncing off calorie tracking apps because logging food still felt weirdly bureaucratic. So I built MetricSync, an AI nutrition tracker focused on making logging faster without feeling sloppy. What I cared about most: - better accuracy than CalAI in normal daily use - more features once you are actually tracking consistently - lower price than CalAI - a simple 3 day free trial so people can test it before paying Would genuinely love feedback from anyone here who has tried AI calorie trackers ... ... more accurate for me than CalAI, it is cheaper, it has more features once you get past the first log, and there is a 3 day free trial so people can test it before committing. If anyone here has bounced

... Product Hunt community I'm the maker of Leads Sentry an email verification tool we built after getting burned by high bounce rates that were killing our sender reputation. Most email verifiers do a simple syntax check and call it done. We weren't satisfied with that, so we built a 6-layer verification engine that checks: Syntax validation Domain & DNS lookup MX record check SMTP handshake Disposable/temporary email detection Role-based address flagging The result? 99.8% accuracy ... ... credit card required. What's your biggest email deliverability challenge? Drop it below Comment from Rian Robertson(@rianbrob): Solid breakdown on why most tools fall short...that 6-layer approach sounds robust! My biggest deliverability headache has been bounces

... also huge. Every friction point you remove from sign up matters more than you think. I had a "start free" CTA with zero commitment and it outperformed every other button on the site. The brutal ChatGPT is the real competitor, not other SaaS tools. Every other freelancer asked me "why wouldn't I just paste this into ChatGPT?" Technically they can. The real moat is the workflow, not the AI: brief to proposal to contract to invoice, all connected ... ... only at step two. This is my next six months of work. Pricing was the biggest leak. Most bounces

... makes pricing easier. Products from anonymous creators compete on price. Products from known practitioners with a track record compete on trust. That's a completely different conversation. Comment from Samir Asadov(@samir_asadov): For specialist/practitioner products this 'brand vs product' framing breaks down the product IS the brand statement. A financial model template built from real deal experience signals more credibility than a thousand brand posts ever could, because the buyer (a CFA with a deal on their desk) reads ... ... branding without promoting your product aggressively is a good idea as long as the product is good. Comment from Piyush Gajrani(@piyush_teq): @busmark_w_nika Most founders don t fail at brand vs

... reading Nika's thread here about free vs paid features. Really made me think. Link: https://www.producthunt.com/p/ge... ( shout-out to @busmark_w_nika ! ) She talks about giving generalized advice for free, but charging for specific, tailored help. That's a good framework. But most product owners figure this out after they build, not before. That's backwards. Your free tier should be designed before you write a single line of code. Because it's not just a marketing tool ... ... everything in the free tier. Now nobody upgrades. You have users but no revenue. Giving away too little. The free tier is useless. People sign up, see nothing, and leave. You never had a chance to convert them. Copying competitors

... input. So I made one where you just say what happened: a five-second voice note gets transcribed by Whisper, parsed by Claude into a structured entry (category, calories, macros, tags), and the dashboard shows calories consumed vs. burned in real time. Exercise calories are calculated server-side from your body weight and MET formulas, not AI guesswork. Once I had the voice-to-data pipeline working I started logging everything spending, mood, sleep, weight, even golf scores ... ... timeframe I'd planned, with no dramatic diet just say it now, see it later. Set your goal and know where you are at any given moment of the day. Would love feedback from anyone who's bounced

... rate of 2-3% per month. People change jobs, abandon inboxes, and providers shut down accounts. That "verified" list from 6 months ago? A good chunk of it is now dead weight dragging down your reputation. 2. Bounces hurt more than you think A bounce

... most important and challenging experiences you ll have as a founder is fundraising. I pitched VCs across London and San Francisco. Some spent 15 seconds on my deck. Some took the call just to diligence a competitor. One told me to ask for more money. Oh, and I found out your pitch is probably being recorded and run through AI. This is the high-impact version of all of those lessons to save you time, energy, and emotional damage. Please ... ... eyes light up. Notice when someone leans in. Pay attention to which anecdotes connect universally, and which ones don t. Sometimes VCs see patterns you don t. They ve seen hundreds or thousands of pitches. They might notice a competitor

... figure out why. By then it's far too late. Domain reputation is more fragile than you think Your sending domain has a reputation score with every major inbox provider. Gmail, Outlook and Apple Mail all track your bounce rate, complaint rate and engagement signals against your domain. Once that score drops it affects every email you send not just to the bad addresses. Recovering a damaged domain takes weeks of careful sending. Most Founders don't know this until ... ... time thing Email addresses decay at roughly 2% per month. A list that was clean when you collected it a year ago could have 20% invalid addresses now. Every invalid address you send to is a potential bounce

... 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

... found errors. Average cost: 28k." 120k impressions, 400+ new signups. Free resource: Post as a human. Share what you're learning in real time. People don't follow companies. They follow people. 5. Multi-Language: The Hidden Channel Most competitors track AI in English only. We built for 120+ languages from day one. Why: A German user asks in German. AI answers in German. If you're not in German content, you don't exist. One example: A US SaaS ... ... with perfect German translation had zero German AI mentions. A local competitor

... each error. Error Type Average Estimated Cost Pricing error (showing higher than actual) 47,000 Pricing error (showing lower than actual) 23,000 Missing critical feature 38,000 Wrong market positioning 52,000 Outdated company narrative 31,000 Competitor credited for your work 44,000 Total estimated losses across 50 founders: 1,204,000 Average per founder: 28,000 Per error average: 18,500 These are not hypotheticals. These are founders calculating actual lost deals, longer sales cycles, and confused ... ... tool, 1.2M ARR) "Perplexity claimed our free tier had a 1,000-row limit. It's 10,000. Has been for 8 months. We found 27 support tickets from users who hit 1,000 rows and bounced

... this from the POV of us (the builder) and that of the user. From a user POV, if they need a solution or an output that your product offers, and if they don't find a good and/or cheaper alternative, they will definitely tend to pay. This is what I noticed w.r.t user psychology. From a builder POV, we need to calculate the expenditure we have to run the product, and accordingly do the gating so as to keep ... ... paid tier. Out of curiosity do you usually prefer a free tier, or a short trial that unlocks the full product? Comment from Takahito Yoneda(@y_taka): Your general versus