u/Secure_Intention_285

Would you trust an AI website generated from Google reviews?

Honestly I could actually see this being useful. A lot of local businesses already have all their best content sitting in Google reviews/photos anyway, but their actual website is either outdated  or super generic.

Feels like the value here is less “AI builds a perfect website” and more “AI helps turn existing reviews/content into a decent first draft.” 

That honestly seems way more realistic for small business owners because most of them probably aren’t gonna spend weeks writing copy, organizing testimonials, designing pages, etc.

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u/Secure_Intention_285 — 17 hours ago

Would you trust an AI website generated from Google reviews?

Honestly I could actually see this being useful. A lot of local businesses already have all their best content sitting in Google reviews/photos anyway, but their actual website is either outdated  or super generic.

Feels like the value here is less “AI builds a perfect website” and more “AI helps turn existing reviews/content into a decent first draft.” 

That honestly seems way more realistic for small business owners because most of them probably aren’t gonna spend weeks writing copy, organizing testimonials, designing pages, etc.

reddit.com
u/Secure_Intention_285 — 17 hours ago

I think Google Maps is quietly becoming the new homepage for local businesses

Lately I’ve realized I almost never visit local business websites anymore. If I’m looking for a café, restaurant, barber shop, etc., I usually just stay on Google Maps the whole time: photos/reviews/busy hours/menu/Q&A/directions, etc.

And honestly by that point I’ve already decided whether I’m going or not. It kind of feels like Google Maps has become the actual homepage for a lot of small businesses now. A lot of their real websites are outdated anyway, while their Google profile is surprisingly active and updated.

Makes me wonder if local business websites in the future will mostly just exist to “capture” traffic that already came from Maps/search instead of being the main thing people browse first. 

Curious if other people do this too or if it’s just me.

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How do you decide what should stay free and what should become paid?

I’ve been thinking about this a lot lately, especially with AI products where usage costs can scale pretty quickly.

On one hand, giving users enough value for free helps build trust and adoption. On the other hand, at some point you have to draw a line between:

  • core/free experience
  • premium features
  • high-cost usage
  • personalized support

I’m curious how other founders and builders think about this balance.

What’s your framework for deciding what belongs in the free tier?

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u/Secure_Intention_285 — 5 days ago

Over the past year, my workflow has changed a lot.

I almost never start from a completely blank file anymore. Most of the time I’m: starting from a template, reusing old snippets, or letting AI suggest a structure and then building from there.

From that point on, it’s kind of just… vibing my way through the rest of the build.

It’s definitely faster — no question.
But sometimes I miss that “blank screen energy,” where every line felt more intentional and handcrafted.

Curious how others are approaching this now:

  • Do you still like building things from scratch?
  • Or has remixing + iterating quickly become your default?
  • Do you feel like this shift is making coding more creative, or just less deliberate?

Would love to hear how your process has evolved!

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u/Secure_Intention_285 — 7 days ago

I’ve been thinking about pricing models for AI products and wanted to get some perspectives.

Traditionally, most SaaS products follow a subscription model (monthly/annual). But with AI tools — especially compute-heavy ones — this model feels increasingly misaligned with actual cost.

I’m starting to see more products experimenting with usage-based pricing, hybrid models (base subscription + usage), or even fully pay-as-you-go.

From a builder perspective, this isn’t just a pricing change — it affects: product architecture (tracking usage, cost control), UX (how transparent pricing is to users), growth & conversion (friction vs flexibility)

So I’m curious: Are you sticking with traditional SaaS pricing, or moving toward usage-based? Have you tested hybrid models? Does usage-based pricing help or hurt conversion in your experience? As a user, do you prefer predictability (subscription) or flexibility (pay per use)?

Feels like this shift is especially relevant for anyone building AI or infra-heavy tools.

Would love to hear what others are seeing in practice.

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u/Secure_Intention_285 — 8 days ago

It feels like AI is lowering the barrier so much that even people without strong coding backgrounds can finally build things they’ve been thinking about for years.

Personally, I’m not a strong developer — I only have some basic coding knowledge — and without AI tools (and honestly ChatGPT), I probably wouldn’t have been able to even get a project off the ground.

So I’m curious:

-What was the first project you built using AI / vibe coding?

-What tools did you use?

-What was the hardest part?

-Did it actually go anywhere (users, revenue, etc.)?

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u/Secure_Intention_285 — 9 days ago

We’ve all seen it. You’re vibing, the code is flowing, and then the AI looks you dead in the digital eye and suggests something so absurdly wrong that it almost feels like a prank.

The most annoying part is when the AI saves you 10 minutes at the start, only to steal 3 hours of your life fixing its hallucinations later that night.

My personal nightmare: I once had Claude insist that a specific library had a built-in exportToExcel function. I spent an hour debugging my environment before realizing the AI had literally invented the documentation for it. It even referenced fake GitHub issues to explain why it wasn’t working💀

What’s your “I can’t believe it just did that” moment?

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u/Secure_Intention_285 — 10 days ago

Hey everyone, I’m currently not from a super technical background (Business Economics major with a marketing/operations background) but building more with AI tools, like claude and copilot, and my goal is to become a product manager after college graduation. 

I’m wary of the "spoon-feeding" trap where the AI just gives the answer and I lose the chance to build my own intuition.

Right now, my workflow is:

  • Attempt something myself
  • Ask AI to solve the same thing to see alternative approaches
  • Ask it for related topics to understand the "why"

Does anyone have a specific set of prompts (or a guide) they use to make sure AI helps you learn rather than just doing the work? It feels like it’s hard as hell to learn structure / system-level thinking because it requires more than just getting something to work.

So are there good ways to:

  • force AI to explain trade-offs between different approaches?
  • guide it to walk through debugging logic step by step?
  • or help generalize patterns instead of solving one-off problems?

Almost like working with a senior engineer, but through AI.

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u/Secure_Intention_285 — 11 days ago

I’m on the marketing side, and my mentor recently suggested I take a prompting course (like Google’s Prompting Essentials). At first it made sense — prompting clearly matters right now.
Outputs depend heavily on how you ask. Small phrasing changes can completely shift results.
But I keep coming back to this question: Is prompting actually a durable skill — or just a workaround for imperfect systems?

Right now, we’re essentially: translating intent into text, adapting to model quirks, learning patterns through trial-and-error. But if AI tools evolve toward:better memory; more structured interfaces; more controllable systems; Then the need to “prompt well” might fade — or at least change form. 

What made me question this more is that some tools are already trying to abstract prompting away. For example, I’ve been using autocoder.cc a bit, and it has automatic prompt optimization built in — it restructures or improves your prompt instead of relying on you to get it perfect. In that kind of setup, it makes me wonder whether getting really good at prompting is actually the highest-leverage thing to focus on.

From a marketing perspective, this feels especially unclear. So I’m trying to think about this correctly: Is prompting worth serious time investment right now? If yes, what actually transfers across tools? And how are people practicing it beyond trial-and-error? Curious how others are thinking about this.

u/Secure_Intention_285 — 13 days ago

I run a small clothing brand on Instagram, and for a long time I thought the hardest part was designing. It wasn’t. It was everything around it.

https://preview.redd.it/k1rf8g4zk9yg1.png?width=1900&format=png&auto=webp&s=3fb40cfd661ae31a54df79abd91b347c60fc4d20

Every time a post did well, the same cycle would start:

“Do you have this in S?”
“How long does shipping take?”
“Is this still available?”

I’d reply, then reply again, then the same questions the next day. And honestly, the problem wasn’t just repetition — it was that I couldn’t see anything.

I didn’t know:

  • how many people actually wanted a piece
  • which designs were converting
  • where people were dropping off

Everything just lived in DMs. No structure, no system — just memory.

One moment made it really obvious. Three people messaged me about the same jacket at the same time:

  • one ready to buy
  • one asking about sizing
  • one still deciding

By the time I got back to all of them, it was already sold out. And then I had to explain that… three times. That’s when it clicked — the issue wasn’t demand. It was that everything lived in conversations.

I didn’t want to build anything complicated. I’m not technical at all.

I just needed:

  • a place to show pieces clearly
  • a way for people to pick sizes and buy
  • fewer repetitive questions
  • some visibility into what’s actually happening

So I tried using autocoder to put something together.

What surprised me wasn’t really the site itself. It was that I didn’t have to think in terms of “frontend vs backend” at all — it just handled both. (Let me show you how this is done)

https://preview.redd.it/6r4tve4zk9yg1.png?width=2048&format=png&auto=webp&s=fe1ec5efb09535bb493376f4c69f649b2066894f

https://preview.redd.it/iyfbng4zk9yg1.png?width=2048&format=png&auto=webp&s=13df68bd0821741eb9affb1b31083d30533b8177

A clean, curated storefront that actually feels like a brand, not a template. More like a lookbook than a typical product grid.

https://preview.redd.it/84wbmg4zk9yg1.png?width=2048&format=png&auto=webp&s=3337235206dd869fd19b9e3b61a4d84f652a3f99

The brand philosophy is structured and visual, not just text. It gives the brand a point of view.

https://preview.redd.it/jmlhdg4zk9yg1.png?width=2048&format=png&auto=webp&s=c23901001a4eac3735e3114cc12d8c805e167352

All the repetitive questions finally live in one place.

https://preview.redd.it/q3brwd4zk9yg1.png?width=2048&format=png&auto=webp&s=82e064d0e217bc8d7ce9295a95e6240e7c5e9124

All the contact details are in one place now.

Now, the Admin Dashboard!!!

https://preview.redd.it/zotsex4zk9yg1.png?width=2048&format=png&auto=webp&s=073bb71ecc7a282c9901f4545a5816bee19445b3

Sales, orders, and metrics in one simple view.

https://preview.redd.it/uv3erb4zk9yg1.png?width=2048&format=png&auto=webp&s=869531fe2f039ecfef8f6fc4cdbacea9b02bdc63

The Product Management Page shows all my products in one place, so I always know what’s available and what needs attention.

https://preview.redd.it/z2nlyf4zk9yg1.png?width=2048&format=png&auto=webp&s=982f2e2cfcb1ad973dd6606048f343b42abdb7e9

Orders are organized, trackable, and easy to manage.

Now:

  • most of the repetitive questions are already answered
  • products, stock, and orders are all in one place
  • I can leave the tracking work all to one site and focus on designing

And I finally feel like I’m running something — not just constantly catching up.

Curious if anyone else here is building something similar / using autocoder.cc in this way?

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u/Secure_Intention_285 — 14 days ago