... expected initially. Then I realized that it would be a disaster for me if I ever launched my saas on these platform. I also came to know that there were people known as power users, and these people tend to exploit your application and its features. I also was confused whethe providing lifetime deals directly to the users of your saas would be good? But, the question here still arises - For how long can you sustain these users as your ... ... products so far. Both rejected. From what I can tell it was not about how good they were, they just were not what AppSumo wants to push right now. I'm releasing a social media automation tool and alternatives

... setup with over 10 agents. It used to work pretty well. Over the past month, the more autonomy I give to the agents the more complicated they make the solution thus getting trapped in a loop for hours. They tend to find bugs and add nice to have features that are not even nice to have when the effort is huge and the value is low. Am I the only one experiencing this strange behavior? Comment from Siarhei Hamanovich(@hamanovich ... ... Jason Robinson(@jason013): Would have to know your setup (tools, models, effort). I ve experienced something similar through a large multi-agent system. More autonomy isn t equivalent to better results, at some point they begin increasing the problem 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

... break top 5. Thursday needs 235. That's a 70-point gap just from picking a different day. Weekends aren't just easier, they're way less crowded Tuesday averages 30.4 launches a day. Saturday averages 10.7. Fewer competitors, lower bar, most of the effect comes from volume, not some algorithm quirk. If you can't launch on a weekend, Friday is your best bet 205 median points for top 5, the lowest of any weekday and noticeably easier than ... ... Thursday. Tuesday's hidden trap Tuesday has more total launches than Monday (1,064 vs

... speeding up exploration, but I think the real value comes from having someone make the intentional design decisions that give the product its own character and clarity. Ship fast and iterate is great advice, but I think that approach tends to work better for companies with a large, established customer base that can absorb imperfect launches (like Apple did with Apple Intelligence on the Iphone 16pro). @adana Comment from Igor Kovalchuk(@igorkovalchuk): AI is great at making things look "pretty ... ... value. Even bringing one in for a few key screens, user flows, or a design system can make the product feel much more polished and intentional. So for me, it s less about AI vs

... Product Hunt now flags comments that are AI-generated. Honestly, I think this is a good thing. I am attaching a screenshot below that shows how AI comments are marked. AI comments tend to be loud, generic, and overly polished. Having that distinction visible could make communities more transparent and encourage people to leave genuine feedback. It made me wonder today, what happens if platforms like LinkedIn, X and Reddit start following the same path. That would make social media ... ... very logical way to restrict at least part of it! Comment from Ryan Miller(@ryanwrites): @alieksia  I'm worried about false positives too. I would prefer to be able to report something as being AI vs

... Vice Versa, through my AI journey when my task gets more narrow and I am building out more complex systems, dashboards or even getting meticulous about UX details, the Cyborg arises. Making surgical directions also has its benefits, I tend to find my most creative ideas come out of this process. The pressure and narrow scope creates idea, this does have its downsides, I find myself going down unnecessary rabbit holes implementing designs and unnecessary functionalities purely for the woah ... ... clear catch fish = success/mission complete. As a real, daily user of AI at work, the goal is clear ideate, create, iterate (ideally not alot), implement and make impact = success/mission complete. Depending on the project, scope of the objective I tend

... postings kept asking for them. a lot of those are now either gone or a checkbox you can clear in an afternoon. the rule i think sits underneath it: a skill that was expensive because the tool was hard tends to expire. a skill that was expensive because the judgment was hard tends

... fixes it two turns. When it says Error: operation failed, the agent guesses. Then guesses again. Same model, same bug. The difference is how much the failure told it. The failures that end debugging loops instead of extending them tend to carry four things: a location down to the expression, expected-versus

... still alive and kicking! That said, I d love to know if there s a particular month that has consistently worked best for you when launching a product. Maybe hunters could give us some interesting insights, since they tend to be among the most active users. Personally, I ve always preferred launching in the second half of the year especially October, November, and December ... for these 2 reasons: More holidays = more opportunities for discounts People tend

... been experimenting with AI-assisted startup research, and I noticed a small problem with the way I was reading the output. AI tends to put these three things surprisingly close together: Facts Things that can actually be verified. Assumptions Things that might be reasonable, but haven't been proven yet. Questions Things where there simply isn't enough information to make a good decision. For example, imagine AI says: "Small agencies are likely to pay $299/month for this product." That ... ... really a fact. It's an assumption. And it should be treated differently from: "This competitor

... years by people who cared about how it feels to use. Dark, considered interfaces. Whitespace that isn't accidental. Content that is the product, not decoration bolted onto a spreadsheet. The short answer to "what's the best LinkedIn alternative in 2026" is this: builders aren't looking for another feed. They're looking for a professional network that was actually designed, not just maintained. That's the gap forg.to is built to close. Here's why the gap exists ... ... roughly two-thirds of all AI-generated content Pangram detected across every platform in the study, even though its posts made up only about a third of the total sample. It gets more specific. Pangram found that LinkedIn users tend

... problem I'm trying to solve: most small and growing businesses have no idea who their repeat customers are, no easy way to reach them again, and no simple way to understand what's actually driving sales. Existing solutions tend to require heavy POS replacements or enterprise-level data tools, which puts them out of reach for a lot of business owners. What I'm building includes digital receipts, automatic loyalty recognition, a simple customer dashboard, and plain-language ... ... made them succeed or fail? For those who've sold into small/mid-sized businesses, what's usually the biggest blocker to adoption price, integration effort, or something else? Is there a feature here that seems like a "nice to have" versus

... Your killer app's biggest competitor is a new browser tab We're seeing a TON of new platforms and systems that offer incredible functionality, I'm not here to dismiss that in any way.. BUT (you could feel that 'but' coming, right?)... Injecting AI into the places that people are already working makes waaay more sense when possible. My main discipline is marketing - I've spent 20 years jumping between tools every other month, it's exhausting ... ... there's always a core group of tools that survive and it tends

... away from stripe, it's the same parent. the roadmap's gone pretty quiet there too. if the whole point is not having stripe as a single point of failure, polar or creem or paddle are the real alternatives. paddle is probably overkill until past ~$10k mrr, it's built for scale rather than launch. Comment from Matthias Str lman(@matthias_stralman): @busmark_w_nika  creem is a good fit for where you are, low fee, merchant of record ... ... depends on someone being able to send a friend an actual result, not a screenshot of a promise a small group of real people ready to show up in the first hour, because I've been checking, and every competitor

... median points needed to break the top 5 and top 10 on each day. Check the full report here: https://app.databox.com/shared/a... The short version: Saturday is the easiest day. Only 266 median points to crack top 5, vs 360 on Wednesday. That's a 35% harder climb on the worst day vs

... catch it right there it's gone for good. The other thing I've noticed is that the people who say the best stuff are the ones who'd never fill in a form. The happiest customers tend to be the quietest ones, which feels backwards but seems to hold. So I'm curious what everyone else is sitting on. What's the best thing a customer has said about your product, and what were you actually doing when ... ... time, which is the only signal that actually pays rent. Did you ever tell them what that message did for you? I find people have no idea their throwaway line was the highlight of your week, and saying so tends

... When we first built Murror, our AI would automatically surface emotional patterns after every journal entry. "You've mentioned feeling anxious about work 4 times this week." "Your mood tends to dip on Sunday evenings." Users loved it in demos. They called it "impressive" and "insightful." Our internal metrics looked great -- pattern detection accuracy was 87%. But something was off. People were journaling less over time, not more. After two weeks, entries got shorter. After a month, many users stopped ... ... indicator for fatigue is something we're now tracking weekly. It's a much earlier signal than journaling quality dropping, so it gives us time to adjust before users silently disengage. And thank you for that framing of "curiosity vs

... like selling myself either, so I don't. What I do is write comparison pages between the competing products and mine, and put everything into ranking those. The people who land on them are already interested in a competitor, or already using one and unhappy with it. They read what each product does and what it costs, and if mine comes out as the reasonable choice, the conversion happens sooner or later. If you don't have much ... ... Comprehension before demand. Get a handful of people to say back to you what SafeLimit does after five seconds on the listing, fix whatever they get wrong, and only then push traffic at it. Strategy built before that step tends

... read still lifts rankings and sends qualified traffic. Focus on earning editorial mentions on pages that already rank, get traffic, and actually influence both search results and AI-generated answers . Listicle placements on industry publications "best tools," "top X," "alternatives to Y" are the highest-leverage placements because they're structured, easy for AI engines to parse, and they tend

... demo. When an AI agent is answering questions, booking meetings, or completing a workflow in a test environment, the conversation is usually about capabilities. How fast is it? How accurate is it? Can it handle more tasks? The tone tends to change once the same agent is connected to customer accounts, internal systems, or business data. Suddenly people want to know who can access what, whether actions can be reviewed later, and how mistakes get handled when the outcome affects ... ... governance later you're rebuilding. So, my answer to "at what point": the moment the agent stops only reading and starts doing. That's usually earlier than the demo makes it feel. Curious how you're drawing the read-vs

... kept hitting context drift midway through. Writing the plan as a file first forces both tools (and honestly, yourself) to commit to the scope before execution starts. The overscoping trap is real too. Noticed the same thing. Claude tends to "while we're here" its way into files you didn't ask about. Letting it tell you what , then handing where to Cursor is a clean separation I'm gonna steal. Comment from Mustafa Arian(@thenameisarian): yes, last week. claude ... ... executes. the conversation goes from "should i refactor this" to "execute step 3 with these constraints." cut my refactor time roughly 40% on a 22-file migration. the trap: don't let claude code pick the files. it tends

... products simultaneously you compound learnings across products faster than doubling down on one The honest challenge: focus is a real advantage, spreading across 10 products early can kill all of them distribution for each product still requires attention quality tends to drop when you're running too many things at once So I'm curious: Do you think the multi-product portfolio model is a real strategy for indie founders in 2026-2027? Or does focus always ... ... that smaller products spread the risk and throw off extra income toward buying a house. Because none of the bets are existential, the math feels a lot more forgiving than going all-in on one thing On focus vs

... rest of their feedback as signal. The folks who actually get value will pay 7 without blinking. Skip the lifetime deal. Everyone here is right about support cost, but the real problem is who it attracts. Lifetime buyers tend to be the most demanding and were rarely going to be long-term revenue anyway. You swap a small bump now for years of maintenance owed to people who paid once. On "too expensive," that almost always means the value ... ... limited, people churn before getting it. If it's too generous, they never upgrade. We landed on 2 free generations because it's enough to see the output quality but not enough to actually run a campaign. For 7/month vs

... user___1702026e6f946759d1d798a): This is also one of the first things investors look for. A polished demo can attract attention, but if someone cannot quickly understand who has the problem, how painful it is, and why the current alternatives are inadequate, the conversation hits a dead end. Based on my own experience and a friend who works at 1752vc, the strongest pitches often make the problem feel inevitable before they spend much time explaining the product. Comment from Martin Tanner ... ... that's a very important distinction. That could also explain why you're attracting more men, who are looking for a real solution vs