... 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 Dim Neocleous(@dimneo ... ... 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 Ghost Kitty(@ghost-kitty-9822291): Comment Deleted Comment from Adana Marukhyan ... ... Where I ve landed: brand foundation is a front-loaded cost, not an ongoing one. A few focused hours defining the mark, palette, and type system once, then months of not having to think about it again versus

... 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 ... ... signal is polluted with generated text, the whole point of launching kind of falls apart. Comment from Guillermo Escobar(@guillermoescobar): got flagged yesterday, so here's one point to add. English isn't my first language so, sometimes I tend

... 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

... start by building something one or two real clients actually need, then expand from there. The difference between having one or two customers and having zero is huge. Comment from Marco Mezzavilla(@marcomezzavilla): Great question. I know I tend to launch too early. Usually it s because I m excited about the idea, but that often means launching when the website is just good enough, the use cases are still limited, and I should probably be focusing on something else ... ... goal: if you want raw eyeballs go Tue-Thu, but for a badge/ranking with a modest following a weekend can punch above its weight. Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the invitation vs

... 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

... 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

... shared view without forcing everyone into code. It also allows result annotations and side-by-side comparison between versions. The important rule is that the workbook is the source of truth. The harness reads it directly. Generated wrapper files tend to drift and become another thing to maintain. ### Why Headed Remote Browsers Matter The most important architectural decision was browser runtime. Headless browsers are useful. They are fast, cheap, and easy to run in CI. But they are not always ... ... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs

... 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 ... ... works. Comment from Gal Dayan(@galdayan): @monatruong_murror  that opt-in rate over time is the metric I'd watch too - it's basically a leading indicator for the fatigue before it shows up in journaling quality. 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 ... ... think "salesy" isn't really about word choice it's about whether you're answering something someone asked, or interrupting something they weren't asking about. Curious if others have found the line shifts once you have actual users vs

... 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 ... ... Retrofitting after the first incident means unwinding agents already in production and users already trained to expect speed exactly as Elias put it, architecture beats retrofit. The bar moved; most mental models just haven't caught up yet. Reading-vs

... 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 to overscope by 2-3 files. let it tell you what. let cursor figure out where. Comment from Nolan Vu(@nolan_vu): That md-as-handoff idea is genuinely smart. I tried something similar but was passing instructions inline and 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

... 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

... what?" not a discount. Your 59 annual is solid if you can anchor it against the cost of a distraction habit (lost productivity, screen time apps that charge more). What's the one thing your plugin does that free alternatives like iOS Screen Time genuinely cannot? Comment from Riya Pariyar(@riya_pariyar): the freemium + monthly + annual structure makes sense as a starting point. one thing i'd think carefully about is lifetime deals early on. they feel good for initial ... ... fits your long-term business model, not because people ask for it. Good luck with the beta! Excited to see how it goes. Comment from Danny Christensen(@danny_christensen): @busmark_w_nika Both actually. When i look at competitors

... Zaitzow(@dzaitzow): @anna_ludwinowski I guess if I really think about it - it helps solve the 1 to many problem for lead capture - making every lead get something really unique at the end of the intake survey / quiz funnel VS being bucketed in a segment that MAY apply to them and their specific circumstance. Here is the product and we're live today if anyone feels like poking around! @stacywycof83995 @oshylabs @thenameisarian @virko_kask if you feel like checking ... ... User. If this catches just ONE wasted sprint or one churn signal, that's a $50-150+/mo problem, not a $24 one. Food for thought. Comment from Anna Ludwinowski(@anna_ludwinowski): @alexeyglukharev  Love the hammer vs