... Looking at our user cohort data, about 5% of our users use the product daily and generate almost all of our word-of-mouth referrals. Meanwhile, the majority sign in once or twice a month, do a quick task, and leave. When deciding what to build next, we re torn between adding advanced capabilities for our power users or simplifying the experience to convert casual visitors into daily active users. How do you prioritize product updates when your power users ...

... first cohort, we encouraged early testers to send short async audio notes or screen clips whenever they hit a smooth or confusing moment. Hearing their tone and seeing their screen made it incredibly easy to fix small details fast while creating a very warm, personal relationship between founders and users. what personalized communication formats have given you the highest quality insights from early adopters? Comment from Federico Cesarini(@fed3c3sa): Voice is underrated for this. People say in 30 seconds what ...

... waitlist. Public launch is planned for May 2027, so I'm not launching here yet. I want feedback first. Demo of the prototype: https://founderless.io/media/fou... Waitlist: https://founderless.io/?src=prod... (refer 3 friends and you get into the first cohort) Two questions I'd love answers to: 1. Would you ever turn on autonomous mode? What would it have to show you first? 2. Does the landing page explain it clearly, or does it sound too good to be true ...

... beautiful. Signups, activation, weekly actives, retention curves, the whole thing. And I've started to suspect it's telling me a story I want to hear. I chose the definitions. I chose the date range. I chose which cohorts to compare. Every one of those choices was defensible on its own, and together they might add up to a portrait of a business that doesn't exist. The uncomfortable question is whether I'd be able to tell ...

... good moment to celebrate the journey! There were weeks over the last two years when I spent more time with him than with my own wife We went from two strangers in an Antler cohort to running a profitable, bootstrapped company. Pivoted a couple of times (gets less painful as you go), built an enterprise B2B feedback repository platform @Dolphin AI that got product 5 of the day, a B2C/Prosumer AI tool @Pretty Prompt that got product ...

... shows their shared context and divergent execution. Inside a tool call, you can inspect which passages were selected to enter an agent s context. Alongside it, entropy and surprisal move as the model generates tokens. Individual agents in a cohort can be stopped while the others continue. That s the programming surface we ve been building around: application code can fork, extend and prune the model s working memory, not transcript but tensors. Lloyal dev-tools make that live execution ...

... launch day was incredible hundreds of signups, high engagement, and lots of positive feedback. We thought we had cracked the market. 30 days later, the cohort retention graph took a sharp nose-dive. The surge of early adopters brought curious visitors rather than long-term users, and as the initial hype wore off, the steady stream of daily active users dried up. For makers who have launched on platforms like Product Hunt: how do you transition from top of funnel ...

... care about: coaching does not automatically count as mastery. After getting help, the learner must later demonstrate improvement independently. The core platform is built and entering open beta. Our live Kickstarter is funding and recruiting the founding learner cohort. I m keeping the main Product Hunt launch for when open beta is accessible. I m especially looking to reach college students. For founders who have built learning tools, how would you narrow that first cohort

... offered 35% off annual plans to lock in upfront cash. However, cohort analysis showed that forced annual commitments led to low feature adoption and massive non-renewals at month 12. Monthly plans actually gave us higher LTV and better engagement. Did pushing annual plans improve your cash flow or damage long-term retention ...

... Waiting for long-term cohort stability before raising prices sounds logical on paper, but it often delays revenue validation when your initial pricing is clearly too low. There s always a risk that early low churn is just an artifact of undercharging rather than genuine product stickiness. For those who tested pricing changes early on what specific sign convinced you to stop waiting for clean data and make the change ...

... retention stats before changing my plans, but honestly i think i'm just nervous to charge more . Every time i look at the numbers i find another excuse to push it back. Did you guys wait for full cohort data before increasing rates or did you just change the pricing page and deal with whatever happened ...

... been putting off a price increase because I keep telling myself I need more data first. "I should wait until I know my churn rate." "I should wait until I have a cohort that's been on the product for six months." But the waiting has now lasted longer than I'd like to admit. I'm worried I'm using "need more data" as a cover for just being scared to ask for more money. For those ...

... exist as meaningful categories here six months ago. Now they do. Builders are skilling up to match. LLMs, RAG, LangChain, the OpenAI API, and prompt engineering are all showing up on profiles now. It's still a minority cohort, around 2.8% of users, but it's the fastest-forming one on the platform. Takeaway: If you're starting something today, "AI-native" isn't an edge anymore. It's the baseline everyone else is already at. There ... ... nice-to-have. Product Design is the number one skill, and Figma outranks Python. The modern solo builder is expected to make it look good, not just make it work. Second, TypeScript is nearly caught up with JavaScript (49 vs

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days of the tap. Apps ... ... distributed outside the App Store entirely - an alternative

... letter that makes them feel loved <3 In the world of AI and non-stop screens, who doesn't love getting an actual physical letter from a friend/fam member? Right now I'm running a small free cohort by hand (as I'm building it out) to make sure the letters feel personal and I know the right flow. Landing page + waitlist: https://withlovemonthly.com/ Would love feedback, especially from anyone who's tried to solve "staying in touch with ...

... Product Hunt community! We re putting together a private 14-day Founding Cohort for Zenor a personal AI tool engineered specifically to help high-responsibility leaders manage daily decision load and reduce context-switching. We find that AI tools focus on text generation or coding, but we re building around daily operational routines (specifically short morning and evening check-ins). What the cohort

... more session, one more entry, one more day in the app pure margin. That rule is why "north star metric" articles exist, why every dashboard puts DAU at the top, why nobody ever asked you what your heaviest cohort costs. It held for twenty years because the marginal cost of serving a software user really was approximately zero. It doesn't hold for what you're building now, and the numbers on that are getting hard to argue with. ICONIQ ... ... tail of people who use the thing constantly, and in the old world that tail was your proof of product-market fit and cost you nothing to serve. In the new world that tail is your COGS. Your best cohort

... only one using your own product daily, that's actually not nothing! It means YOU have the problem you're solving. The question is whether others share that same problem. What's been your experience with early user feedback vs. actual usage data? Comment from Abusaid islam said(@abusaid_islam_said): For me, it's definitely the mix of respondents and how feedback is collected. Developers and UX designers are great at spotting technical bugs and edge cases, but actual ... ... good. Second: people who trust reviews completely and rarely question them, since they're the ones who need Merzify most and will tell you honestly whether the result actually changes their mind or just gets ignored. Your developer versus

... determine what constitutes a significant app update, based on applicable law, and to consult your counsel. That's the sentence I'd sit with. A definition you write yourself now controls whether shipping a given release locks a cohort of your users out of their own data pending someone else's tap. For an AI product it's genuinely unclear where the line sits. Is swapping the underlying model a significant change to what the app does? Is broadening what ... ... could have. And I still don't have a clean answer on the verification-method question, because the honest version is that I don't yet know what I'd do differently with a government-ID-checked 16 versus

... lifecycle proof - clearer container ownership and image evidence The goal is simple: less assumed execution truth, more enforceable boundaries and evidence. I m now speaking with engineering teams that have complex repositories, growing coding-agent usage, or recurring local-versus-CI drift. For a small design-partner cohort

... product if you have been living with thyroid problems to understand your individual patterns. You can read more about it here: causis.co/founder-memo. Don t forget to join the waitlist at the end to be included in the first cohort ...

... better than the benchmarks you read about, and you reasonably conclude the product is landing. So you put money and time into the top of the funnel, because that's the part that's responding. Twelve months later the cohort you were so pleased with is 21% intact and you're wondering what changed. Nothing changed. You just finally got the second number. There's independent data pointing the same way with a sharper edge on it. Kyle Poyar, working ...

... been building Creatives Takeover for the last couple of months. Here's what got me started. I went through an accelerator myself, and beyond the fundraising connections, I walked away wondering what I'd actually gained. A cohort, a demo day, advice that sounded great in a room and fell apart back at my laptop. Nobody handed me a roadmap and even less the full journey. I also noticed plenty of tools are great at one step, validation here ... ... worth building? Who should I talk to? and what should I ask them? What's the smallest thing I should build next? How to identify the market needs and not get biased by my own opinions? No application, no cohort

... been building Creatives Takeover for the last couple of months. Here's what got me started. I went through an accelerator myself, and beyond the fundraising connections, I walked away wondering what I'd actually gained. A cohort, a demo day, advice that sounded great in a room and fell apart back at my laptop. Nobody handed me a roadmap and even less the full journey. I also noticed plenty of tools are great at one step, validation here ... ... worth building? Who should I talk to? and what should I ask them? What's the smallest thing I should build next? How to identify the market needs and not get biased by my own opinions? No application, no cohort

... want to build another stock-picking newsletter or trading product. I wanted something slower. More structured. A process that could be reviewed once a month and followed consistently. I m opening the final free reader cohort for Meridian Allocation before the paid product launches in September. Meridian is a rules-based macro allocation research product for serious self-directed investors who want a disciplined monthly process without following daily stock picks, market calls, or constant financial noise. Cohort