... found is smaller triggers, catching the moment a decision starts forming instead of waiting for it to land, even if that means writing something half formed and cleaning it up later. Comment from Raffay Sajjad(@raffay_sajjad): The decision vs reasoning split matches something I do without ever having a name for it. Before I stop for the day I write one line per thing I changed and why, not what, git already has that part. What breaks ... ... touching it again, and if I can't explain a block out loud I don't build on top of it. Still haven't figured out how to catch that without needing the limit to force it. Comment from Alper

... generated" is the one that gets me. I'll re-explain the same constraint to an agent three times in a week because it lived in my head instead of somewhere it could be pointed to. Comment from Alper Tayfur(@alpertayfurr): The most manual part for me is preserving context between sessions. The code survives, but the reasoning usually doesn t: why a decision was made, which constraint mattered, what the agent already tried, and what should not be changed ... ... agent rewrites half the file or touches things that were already working fine. I've started forcing much smaller diffs and reviewing every change before accepting, but it still feels like babysitting. Also relate hard to what Alper

... business records. Then it becomes part of the product experience. The teams that make approval flows, audit trails, and data boundaries visible will probably earn trust much faster than the teams that only talk about autonomy. Comment from Alper Tayfur(@alpertayfurr): @syed_noor4 I d start thinking about governance as soon as the agent can change something, not only when it reaches production. Reading data is one thing, but sending a message, updating a record, or touching a customer workflow ... ... 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

... When we first launched Murror, the number one feature request was always the same: "Can I talk to the AI?" Users wanted a chatbot. Something they could vent to, ask for advice, get instant feedback from. Every competitor had one. Every investor asked why we didn't. So we built it. The first month looked incredible. Session times tripled. Users came back more often. The engagement charts were exactly what you'd want to show in a board meeting. Then ... ... life behavior changes) made a stronger case than any engagement chart. Thanks for sharing your experience it's reassuring to know this pattern shows up across such different domains. Comment from Mona Truong(@monatruong_murror): @alpertayfurr   Thank you, Alper

... Confirming before you send on an ambiguous route is the bit most tools skip, and it's exactly where the silent wrong-agent message slips through. Making the state loud beats hoping people infer it from history. Comment from Alper Tayfur(@alpertayfurr): Per-agent launch settings are a smart direction. Once people run different coding agents for different tasks, the workflow needs more than one generic launch command each agent needs the right context, flags, and recovery path to stay ... ... useful. Comment from Jazzen Chen(@jazzenchen): @alpertayfurr  Thanks Alper

... fully open source github.com/BlogBowl/BlogBowl . RankSpot became a dedicated AI SEO agent that plugs into your existing website and publishes optimized articles every single day. What RankSpot Does Every day, automatically: Finds keywords your customers actually search for Tracks competitors and targets what is already working for them Writes 1,500+ word research-backed articles Publishes directly to your WordPress, Webflow, Shopify, Framer, or Ghost Optimizes for AI search so ChatGPT and Claude recommend your business No agency. Just ... ... suis_yaroslav Let's gooo Comment from Daniil Poletaev(@danshipit): @ollyflow  Hopefully @Y Combinator will notice us Comment from Daniil Poletaev(@danshipit): @lakshminath_dondeti  Thank you! Comment from Lakshminath Reddy Dondeti(@lakshminath_dondeti): Congratulations! Comment from Alper

... reports in seconds. Stop digging through dashboards. Talk to your GA4, GSC, and Business Profile like you d talk to a marketer. Live on Product Hunt today: https://www.producthunt.com/prod... Comment from Malith Gamage(@malithmcrdev): @alpertayfurr  Thank you Alper Comment from Alper

... founder, product depth, or something else? Have your decision-making criteria changed in the last year? And do you think crowded markets make better products win or just better branding? Comment from Justin Lee(@justinlee020617): @alpertayfurr  Alper's point really hits home clarity beats polish now. I've noticed the same shift: the question I ask first is no longer 'does this look credible?' but 'do they actually understand my problem?' For me, the clearest signal ... ... tells me how much they care about the product, and then if I'm still interested I look at whether it actually does what I need. Most options fade out before I even get to step four. Comment from Alper

... space: are we building tools that make humans more capable, or tools that make humans more dependent? Would love to hear from other builders thinking about this tension. Comment from Tijo Gaucher(@tijogaucher): This framing really resonates "more capable vs more dependent" is the question I wish more AI builders were asking out loud. The temptation to optimize for session length is real because it's easy to measure, but you're right that it's the wrong target ... ... better in the real conversation? That feels like the hard part. Comment from Mona Truong(@monatruong_murror): @summerxia   This really resonates with how we think about it. The distinction we keep coming back to isn't capable vs

... building the most requested ones! Let s make OptiClear the ultimate Mac companion together. Comment from Hardik Gohil(@hardikgohil79): @orhan_kilic  I'm more than happy to contribute and provide some value to your product. Comment from Alper Tayfur(@alpertayfurr): Love this approach letting users vote is always a good signal. Based on what s already working in this space, most Mac cleaner tools that win tend to combine duplicate finder + uninstaller + performance insights in one flow ... ... because that s where things get messy without people realizing it. Local clutter is visible. Cloud clutter isn t. One thing I ve personally struggled with is not just finding duplicates, but understanding: what s actually safe to delete vs

... stuck, that's still entirely on you. Building something at Figr AI to tackle exactly this. Curious: are PMs who prototype regularly hitting the same walls? Or is there a bigger pain point I'm missing entirely? Comment from Alper Tayfur(@alpertayfurr): I ve noticed the same pattern. @moksh_garg Most of these tools are amazing at turning a clear spec into pixels fast. But they don t really help you find the spec. They don t question assumptions, model ... ... generation. It s product reasoning. If you re building around that layer, you re probably closer to the real bottleneck than most design tools right now. Comment from Moksh Garg(@moksh_garg): @alpertayfurr  Exactly, really well put Alper

... Hello Product Hunt Community, Alper is here. I m exploring how AI, automation, and natural language can work together to make tech feel more like a teammate not a task. I m especially curious about how we can build useful things without writing a single line of code and how automation can help us move faster in work and life. I ll be sharing thoughts on: New AI technologies worth following Natural language automation workflows No-code tricks that actually ...