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Alper Tayfurleft a comment
This is exactly the shift I’ve been thinking about. Google results and AI answers often don’t tell the same brand story anymore. For me, the biggest insight is that AI visibility is becoming more about reputation distribution than just website optimization. Your own site matters, but third-party mentions, Reddit discussions, comparison pages, and niche blogs seem to shape the answer much more...
Everyone said "GEO" was a fad. We spent a year building for it anyway.
Masab GaditJoin the discussion
Alper Tayfurleft a comment
I think the key difference is whether technology replaces thinking or supports thinking. AI can be an amazing tutor when it helps you understand, question, build, and explore. But when people use it to skip the thinking process, the learning becomes shallow very quickly. The same applies to social media: the problem is not only the tool, but the habit it creates around attention. For me, the...
Alper Tayfurleft a comment
My criteria have definitely changed. I trust polished branding less than before, because almost every product can look premium now. What helps me most is clarity: who exactly is this for, what problem does it solve better than alternatives, and what does it not try to do? After that, I look for real user proof, product depth, and whether the founder understands the problem deeply. Crowded...
How do you make the right choice when every niche seems crowded?
Ivan AnisimovJoin the discussion
Alper Tayfurleft a comment
I’m seeing the same thing. Local MCP is great for builders, but remote MCP feels much more natural for SaaS users. The real challenge is not the protocol itself, but auth, permissions, and persistent state. If that experience becomes smooth, remote MCP will likely win for most agentic workflows.
The reality of building on MCP: Is the friction worth it?
Nick KramerJoin the discussion
Alper Tayfurleft a comment
This is painfully accurate. In many early-stage teams, the problem is not that the first version is “bad,” it is that nobody defines where the temporary code ends and the real foundation begins. For me, the biggest red flag is when there are no automated tests and no clear ownership of database performance. Indexes, basic monitoring, and simple regression tests are not overengineering — they...
The cost of technical debt: a longitudinal study of 100 startups.
Imed RadhouaniJoin the discussion
Alper Tayfurleft a comment
Great move. Product Hunt has so much valuable context hidden inside launches, comments, and maker discussions, so being able to ask directly feels much more natural than searching manually. Would love to see filters like “launched this week,” “most discussed,” or “best for solo founders” inside the AI results. This could become a really strong discovery layer for the whole PH community 🚀
🗣️ Find the right product, just ask
Aaron O'LearyJoin the discussion
Alper Tayfurleft a comment
For me, it’s important replies to users. AI can help me think faster, but I still want the final words to be mine when trust is on the line.
What's something you're embarrassed to admit you still do manually even though AI could do it?
Imed RadhouaniJoin the discussion
Alper Tayfurleft a comment
I’d probably agree with you. Learning marketing as a programmer feels more natural because a lot of it is pattern recognition, messaging, and experimentation. Programming asks for a different kind of precision, so the learning curve feels steeper even if AI makes you faster.
Alper Tayfurleft a comment
Honestly, deciding what not to design. There are usually multiple valid directions, but picking the one that stays clear for users without creating long-term complexity is the hard part.
What’s the hardest part of designing for your current product?
Ivan AnisimovJoin the discussion
Alper Tayfurleft a comment
Honestly, “just one more integration.” It rarely stays just one, and the long-term maintenance cost is usually way bigger than it looks on day one.
What’s a feature users asked for that you ended up regretting?
Farrukh ButtJoin the discussion
Alper Tayfurleft a comment
Strong thesis. AI that prepares people for real conversations feels far more durable than AI that tries to replace them.
Why we built AI that prepares you for hard conversations instead of replacing them
Mona TruongJoin the discussion
Alper Tayfurleft a comment
Honestly, way too many 😅 And the real cost is never just the call itself. Microsoft’s 2025 work data showed people getting interrupted by meetings, chats, or emails every 2 minutes during core hours, which explains why one scattered call can wreck a whole afternoon. So yeah, tools like this make a lot of sense — if the call is already happening, at least squeeze more value out of it afterward.
How many calls do you do per day?
Amrani YasserJoin the discussion
Alper Tayfurleft a comment
Oof, painful but very relatable 😅 Apple’s review rules are pretty strict here — if premium digital features are unlocked in-app, they generally want that value to flow through In-App Purchase, not side-door referral rewards. Their guidelines around premium features and subscriptions make that pretty clear. A safer path is usually: reward with something non-premium / cosmetic use Apple’s own...
Had to kill my favorite feature to survive Apple Review 🍎✂️ (Referral System)
Orhan KilicJoin the discussion
Alper Tayfurleft a comment
I think it counts as building software, just not the same kind of building 👀 If someone can go from idea to working product and people use it, that’s real. But I also get your point — there’s a big difference between shipping something with AI help and deeply understanding what’s happening underneath. To me, the real split is less “honest vs dishonest” and more: can you maintain it? can you...
Alper Tayfurleft a comment
This is very real. Microsoft’s 2025 data says people are interrupted by a meeting, email, or ping about every 2 minutes, and half of meetings happen right in peak focus hours. Your founder’s setup actually makes sense: stack meetings into one block protect a real no-meeting focus window require an agenda before a call turn anything async into notes instead of a meeting Personally, the biggest...
Alper Tayfurleft a comment
I’m using it mostly for speed in the messy middle — early exploration, copy variations, quick UI directions, and summarizing research. That part is genuinely useful. But I’ve noticed the same thing you mentioned: the outputs get “solid” fast, and also a bit same-y fast. That’s why taste matters more now, not less. NN/g has been saying something similar — AI is improving fast, but human...
How are you using AI in your design workflow today?
Ivan AnisimovJoin the discussion
Alper Tayfurleft a comment
This is a really honest breakdown, and the “ChatGPT is the real competitor” point feels very real. I also think you’re right that the moat is the workflow, not the raw AI output. That’s basically the same lesson a lot of AI SaaS founders are learning right now: if the value stops at “generate one thing,” users compare you to a prompt. If the value is “this moves me to the next step,” it starts...
What I learned launching my solo SaaS on PH last week
Halil Berkay ŞahinJoin the discussion
Alper Tayfurleft a comment
Love this. Developer tools do especially well on PH when makers start connecting a bit before launch instead of showing up the same day and hoping for magic. PH itself basically says getting familiar with the community ahead of time matters a lot. Also makes sense coming from ApyHub since you’re already deep in the API/dev tools world. Really generous offer — early support is way more valuable...
I want to support dev tool launches for free (obviously)
Nikolas DimitroulakisJoin the discussion
Alper Tayfurleft a comment
For me it was probably Sentry. Super unsexy answer, but once you’ve been paged by a silent bug at 2am, good error monitoring feels like magic. It’s still one of the most battle-tested options for error + performance monitoring today. If we’re talking analytics, PostHog is up there too — especially now that it bundles product analytics, session replay, feature flags, and more in one place. The...
What's one tool you wish you had discovered earlier as a maker?
Wasil AbdalJoin the discussion
Alper Tayfurleft a comment
Thanks Arda, Because half the web dev world defaults to it 😅 React apps and Next.js dev servers commonly start on port 3000 by default, so it becomes the unofficial collision zone on every machine. Your fix is actually super practical — this is one of those tiny annoyances every dev hits way too often. The “see all active local servers and kill instantly” part feels way nicer than the usual...
Why is port 3000 always in use?
Arda Can KırkoçJoin the discussion



