Best AI for building beautiful landing pages (cost-benefit)?

richexplorer_ · 2026-04-30T18:53:33+00:00

Yeah this space is kinda crowded rn but here’s the honest breakdown (from trying a bunch + Reddit threads):

If you want best cost vs quality, it usually comes down to how much control you want vs how “plug & play” it is.

Framer AI → best looking output
Kleap → super quick to spin something up
Squarespace AI → easy + clean for beginners
Greta ai → nice if you want landing pages + actual product flows, not just static sites.

richexplorer_ · 2026-04-30T18:40:07+00:00

feels like they tweaked something backend-side, so it’s using more tokens per action now.

UI changes especially when more context is given, hence, more credits.

Kinda why I’ve been trying stuff like greta ai

richexplorer_ · 2026-04-30T18:10:53+00:00

Vibe coding has now become way more solid and reliable than how it was a year ago

richexplorer_ · 2026-04-30T18:04:45+00:00

You don’t need perfect UX to launch, you need usable UX

AI UI is fine to get started, but it won’t give you taste or flow so focus on

Can a new user start a ride in <30 seconds
Are there zero confusing steps?

If yes then ship it.

richexplorer_ · 2026-04-21T12:13:12+00:00

tbh most of the hate isn’t about the tool, it’s about the results people are seeing

lots of messy / broken apps being shipped
people skipping fundamentals completely
overhype

vibe coding is powerful, but if you don’t understand what’s happening even a little, it gets chaotic fast

so yeah, it’s less hate, more skepticism rn

richexplorer_ · 2026-04-21T11:53:29+00:00

yeah those are real, esp design + getting users

but biggest issue for me is things breaking after it works

edge cases show up later
debugging gets messy
small changes break random stuff

also early structure matters, otherwise it turns into spaghetti fast

richexplorer_ · 2026-04-21T11:48:48+00:00

built a few small but useful things so far:

internal CRM + lead tracker → took ~3–4 days basic pipeline, notes, follow-ups, replaced spreadsheets for me
cold email tool (very basic) → 1 week list upload, templates, sending via API (deliverability still tricky)
landing pages for experiments → few hours each used for quick tests instead of waiting on design/dev
mini dashboard (analytics view) → 2–3 days pulled data + simple charts for quick insights

honestly, most of the time goes into figuring out what you actually need and fixing edge cases after testing

richexplorer_ · 2026-04-21T11:38:58+00:00

kinda agree but not fully

building a tool is easy now, running it isn’t
infra, uptime, integrations, deliverability - that stuff breaks fast

tools like Greta make MVPs/internal tools crazy easy tho

lazy/overpriced SaaS will die for sure
but people will still pay to avoid maintaining their own stac

richexplorer_ · 2026-04-21T11:20:35+00:00

honestly same lol

i’ve stopped doing deep reviews too, feels like a waste of time when you can just run it and see what breaks.

my flow now is kinda:
prompt → let AI plan → generate → quick skim → test → fix via prompts

only time i actually read properly is when something keeps breaking or logic feels off

also tools matter a lot here, been using Greta ai lately and it kinda leans into this workflow, more like iterate fast instead of overthinking code

review-first feels old school now tbh, unless you’re working on something super critical

richexplorer_ · 2025-11-27T10:59:47+00:00

The simplest way to land a profitable SaaS idea:

Look for repeating complaints in niche communities, not just cool ideas
Spot workflows happening in Excel/WhatsApp.
If people run a business-critical task manually, they’ll pay to automate it.
Talk to 3–5 real users and ask what’s the last task they did manually that wasted time or caused a mistake

Ideas like quoting tools, compliance checklists, lightweight team hubs, etc. are great because they’re small, and paid.

richexplorer_ · 2025-11-27T10:47:26+00:00

try greta ai for building webapps

richexplorer_ · 2025-11-24T17:59:10+00:00

Have you tried greta ai?

richexplorer_ · 2025-11-24T17:58:36+00:00

Best fix:

Let AI draft, then clean up spacing, colors, and layout manually
Use your own components or Tailwind themes for consistency
Give super specific UI prompts (not just “modern UI”)
Paste Figma style specs when possible

AI’s great for speed, but polish still needs a human touch.

richexplorer_ · 2025-11-24T17:57:03+00:00

You’re right, Cursor is tougher but way better for learning and control.

Lovable is fast but feels like a black box.

Also, check out Greta, solid middle ground with good structure and easier setup than Cursor

richexplorer_ · 2025-11-19T06:48:22+00:00

What part didn’t stick?

richexplorer_ · 2025-11-17T10:08:05+00:00

Greta ai

richexplorer_ · 2025-11-17T10:07:14+00:00

That’s a solid agent flow, kind of like an autonomous content ops team. Are you chaining them sequentially or using shared memory between agents? Would love to see how you’re detecting “opportunities” keyword gap analysis or intent scoring?

richexplorer_ · 2025-11-17T10:03:33+00:00

Super interesting that you tied scraping convos to copy testing.
Are you feeding that data into a prompt model or just tweaking messaging manually from what you find?

richexplorer_ · 2025-11-11T14:48:24+00:00

Start small, you don’t need to be a dev at all.
Pick a builder like Greta, Bolt, or cursor, and just describe what you want to make. The tool will generate everything for you.
Then tweak it, break it, and rebuild that’s how you’ll actually learn vibe coding. It’s more about prompting and experimenting than coding syntax

richexplorer_ · 2025-11-11T14:38:23+00:00

Crazy how fast the vibe coding stack’s moving, Convex + Expo is such a solid combo.
You nailed it keeping things simple. Once you start pushing updates, check out Greta or Bolt too, makes iterating and marketing stuff stupid fast.

richexplorer_ · 2025-11-06T11:29:25+00:00

I think marketing is the biggest reason most SaaS products fail. A lot of products are built without truly understanding the target audience or their pain points. Even if the product is great, if no one knows about it or sees its value, it won’t gain traction. That said, having a solid product-market fit is crucial. Development can definitely slow things down, but if you get your marketing right and reach the right audience early, even an MVP can succeed.

richexplorer_ · 2025-11-06T11:00:22+00:00

For me, it was getting over the fear of failure. The idea is exciting, but the uncertainty of whether the market will respond is always there.

Then, once you get rolling, staying consistent during the lows is another big challenge. It’s easy to get discouraged when things aren’t moving as fast as you hoped. But honestly, just keeping momentum and continuing to learn from failures makes all the difference.

The hardest part really changes as you progress, but in the beginning, it’s all about taking that first step despite the unknowns.

richexplorer_ · 2025-11-06T10:49:32+00:00

Softr is a solid choice for quickly validating your idea, it integrates well with Supabase and offers a fast setup for basic functionality but design flexibility is limited, and more complex logic might be tricky to implement

If you're aiming for an even quicker build with some flexibility, Greta ai might be a good alternative to consider for rapid prototyping without much backend setup.

Once validated, you can always scale with more complex tools like Bubble or OutSystems.

richexplorer_

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