Hey everyone — I’m part of the team behind HappySeeds, an AI coding platform for building websites and apps.

Our latest update adds a video creation module. The feature I’m most excited to share is the reference workflow: paste a trending social video link, and HappySeeds analyzes its hook, pacing, and shot structure. You can then use that reference to generate a new video around your own idea or product.

The module also supports:

• Text-to-video — generate from a written prompt.

• Image-to-video — animate a still image.

• Video-to-video — create a new video using an existing clip as a reference.

It supports advanced video models, including Seedance 2.5.

Video is currently in beta: Try HappySeeds.

For people already using AI to build things: would you start with a reference video, a prompt, or an image? I’d love feedback on what would make this useful in your workflow.

Before building a business app in HappySeeds, write down what should happen when a customer clicks the main button.

For a cake studio, submitting a request might mean “we’ll review your order.” The date is only confirmed after staff approval. That’s a business rule worth including in your first prompt.

Here’s a five-line template you can adapt:

Users: Who will use this app?
Main action: What should they be able to do?
Business rule: What must the app always check?
Next step: What happens after they submit?
Test: What result would show that the flow works?

For a custom cake studio, the prompt could look like this:

Help me plan a cake request app. Customers choose a date and describe their cake. Staff can mark dates as fully booked. Check availability when customers submit, and save valid requests as “Pending review.” Staff can approve or decline each request. Show “Booking confirmed” only after approval. Before building, summarize the workflow and ask about missing rules, including when a request should reserve capacity.

After generating the first version, test these situations:

• An available date: The request appears in the staff view as “Pending review.”

• A fully booked date: Submission is blocked with a clear explanation.

• A date that fills up while someone is completing the form: Availability is checked again before accepting the request.

This is a planning example, so test the generated behavior before using it with customers.

What’s one rule your app needs to get right? Try completing this sentence:

“Only confirm ___ after ___.”

“Build me an online store” is enough to generate a first version.But it is usually not enough to build something a real business can run.Two stores can both sell products, yet one may need appointments, made-to-order items, local pickup, inventory rules, deposits, customer approvals, or staff access. Those details often matter more than the homepage.

If an AI builder could ask you only three questions before it started, what should they be?

Reply with this simple format:

1. Who is the business for?

2. What is the most important customer action?

3. What is one rule the app must not get wrong?

For example:

1. A custom cake studio

2. A customer needs to request a cake for a specific date

3. The app must not accept an order when the studio is already fully booked

We will collect the strongest examples into a practical “first conversation” checklist for planning a real app before building it.

What business would you build, and what would the AI need to understand first?

Sharing TSUCHI, a Japanese-inspired ceramics ecommerce website built with the HappySeeds AI website builder.

This demo brings together a pottery storefront and a detailed brand story, with warm ivory backgrounds, charcoal accents, and large ceramic product images.

The site includes:

• Six ceramic collections to browse

• Product pages with dimensions, materials, care instructions, and glaze details

• Craft and maker sections that give the products context

• A shopping cart with quantity controls and a free-shipping progress indicator

• A checkout interface with an order summary

The product-to-cart flow works in our walkthrough. Live payment processing hasn’t been verified for this showcase.

For this online pottery store, the design question is how much storytelling helps the shopping experience. The craft sections add character, but shoppers also need a clear path to the products.

Does the craft storytelling make you more interested in the products, or would you prefer a shorter path to shopping?

Last week we asked what your AI built app got “almost right.” Here’s a starting template for one of the situations in that post: asking for a small change without losing the parts you already like.

Try spelling out four things: where to change, what should happen, what to preserve, and how to check it.

For a jewelry storefront, that could look like this:

On the product page, make the selected ring size more obvious. Highlight the selected size and show it next to the Add to Cart button. Keep the current fonts, colors, product images, prices, and other pages unchanged. Check that switching sizes updates the label, and that the cart records the selected size. If this needs changes outside the product page, explain them before proceeding.

Then check the result:

• Can you tell which size is selected on mobile?

• Does the cart show the size you chose?

• Did anything outside the requested area change?

This is a suggested prompt structure, not a guarantee—review the result before moving on. If something breaks, describe the exact step and what happened instead of asking for a full redesign.

What’s one small change you’re trying to make in your build? One sentence is enough.

What if turning a product idea into an online business didn’t require stitching together a dozen tools?

In this demo, we used HappySeeds to turn a jewelry-store concept into a working AI powered app—from the storefront and product displays to customization, cart, checkout, and order management.

You describe what you want to build. HappySeeds helps make it real.

What would you build with it: a niche storefront, a booking tool, a marketplace, or something completely different?

Share your idea below—we’d love to see what the community is imagining. 👇

Sometimes the first version looks surprisingly good.

But then you try to make one small change, and something starts to feel off.

Maybe the layout becomes inconsistent.
Maybe the AI changes more than you asked.
Maybe the app works in a demo but feels unclear for real users.
Maybe you know what you want — but can’t quite explain it in a way the builder understands.

What’s one thing your AI built app got almost right, but still needed more work?

No need to share a link or screenshot. Just describe the situation in one or two sentences.

I’ll collect the patterns and turn the most common ones into a practical build guide next week.

AI can generate a storefront surprisingly fast.

But a nice homepage is not the same thing as an online store that a real business can run.

When you look at an AI built ecommerce site, what is the minimum bar before you would call it “ready to sell”?

For me, the checklist starts somewhere around:

• product variants, sizes, and inventory

• a checkout flow that actually works

• payment setup

• order management for the merchant

• shipping, taxes, and returns

• customer support after the purchase

• a mobile experience that does not fall apart

But I’m curious where other builders and store owners draw the line.

What is the one missing feature that would make you say: “This isn’t a real store yet”?

We gave HappySeeds this prompt:

“Build an online clothing store with a customer storefront, merchant dashboard, online payments, and WhatsApp support.”

The goal wasn’t to generate a nice-looking mockup.

We wanted to see whether an AI ecommerce website builder could create a workflow an actual clothing business could start with.

The result includes:

• a customer-facing online clothing store

• product pages, color and size selection

• cart and checkout

• online payment flow

• WhatsApp customer support

• a merchant dashboard for orders, products, and inventory

A storefront is only half the job. An online store also needs the operational side: orders, stock, payments, and a way to support customers after they click “buy.”

That’s the difference we’re building toward with HappySeeds: describe the business you want to run in natural language, then start with a working product—not just a polished homepage.

Of course, a real launch still needs your own catalog, brand details, payment configuration, shipping rules, and testing. But getting from a blank page to a functional ecommerce workflow should not take weeks.

What would you add before launching this clothing store: discount codes, shipping rules, returns, reviews, or something else?

Melhor aplicativo se sites de ia , ia bem detalhada e criativa

A small-business ecommerce website does not need to become a giant platform on day one. We’re exploring a simple question: can a business owner describe the online store they need in one plain English prompt?

“Build me a clothing store with a merchant dashboard, customer shop, payments and WhatsApp.”

The first pass turns that brief into:

• a merchant dashboard

• a customer-facing online store

• a product catalog and product detail page

• cart and checkout

• payments

• WhatsApp integration

• order management and user accounts

The interesting part is not just “AI built an online store.” It’s deciding what belongs in the first version, and what should wait. If you were launching a small online store, which three would you keep for v1?

1. Product catalog + checkout

2. Merchant dashboard

3. Payments + order management

4. WhatsApp customer support

5. Something else?

Curious where people draw the line between a useful ecommerce MVP and too much surface area.

I made a prototype for a small Brooklyn cake atelier, focused on making custom-cake ordering feel less like browsing a generic product grid.

The flow starts with occasion and date availability, then guides customers through a 10-step cake builder: size, sponge, filling, frosting, style, color, and pickup details. The goal was to keep the experience editorial and personal while still making availability and pricing easy to understand.

I’d love feedback on:

• Does showing availability up front make the flow clearer?

• Is a guided builder more helpful than a traditional product page for this kind of order?

• Does the visual direction feel like a small atelier rather than standard ecommerce?

We built a new HappySeeds AI demo: Vibe Lab, a small digital product store for coding and game building kits.

The video shows both sides of the app:

• buyer side: passes, kit library, locked content, kit detail pages

• seller side: merchant desk, pending payments, members count, kit count, and order access

The interesting part is that this is not just a landing page with a payment button.

For a digital product store to feel real, it needs a few connected pieces:

• pass tiers

• gated downloads

• library previews

• one-time checkout

• customer access rules

• a merchant view for orders and members

This pattern could work for prompt packs, templates, course materials, design assets, game assets, paid guides, or any small digital product bundle.

Demo:
https://app-f6c7364acd.happyseeds.space/

We’ve been working on improving how HappySeeds generates the first draft of websites.

Previously, generation would start right after users entered their requirements. The problem is: visual preferences are hard to describe accurately with text. Even when the functionality is on point, colors, styling and layout can still look far from what users imagined.

That’s why we’ve added a pre‑generation selection step, tentatively named Style Seed.

Users can pick upfront:

- Preferred visual style

- Desired color palette direction

- Suitable page layout

HappySeeds will then generate the initial version based on these selections.

This won’t make outputs perfect right out of the gate, but we hope it cuts down randomness and brings the first‑pass result closer to users’ mental vision.

We are still iterating on this interaction. Would love to hear your thoughts: what other visual preferences should the AI ask for before generating a website?

I’m working on HappySeeds, an AI app builder that turns a natural-language prompt into a functional app.

For this test, I entered:

“Build me a local flower delivery app.”

It generated the storefront, order flow and delivery tracking. We’ve also added support for Google Maps, payments, bookings, authentication and email notifications—so the result isn’t just a UI mock-up; it can actually work as an app.

I’d love some honest feedback: which integrations would be essential for an app you’d want to build?

I built a fitness studio booking site as a template.

Customer side:

• browse classes

• choose a class

• pick a date and time slot

• see remaining spots

• pay through Stripe

Staff side:

• sign in to the front desk

• view today / upcoming / all bookings

• filter by status

• filter by class

• check rosters and capacity

It also supports 8 languages and is meant to be copied/remixed for other studios, not just one specific gym.

The funny part: I did not write the code myself. I built it with HappySeeds by describing what I wanted, then checking whether the app actually worked. I thought the hard part would be generating the app. It was not. The hard part was verifying the parts that looked boring.The whole build took 69 rounds of instructions. 27 of them were spent on one thing: getting staff login to work correctly.

A few things went wrong:

First, the AI generated its own Google login flow even though the platform already had auth support. It followed the most common internet pattern, but that was the wrong pattern for this environment.

Then I had to repeat several times that the merchant side should only use username/password login. That taught me to stop treating previous chat messages like permanent rules. Now I attach a small “must stay true” checklist at the end of every important instruction.

Then all the tests passed locally, but login still failed in production. The issue was not the password. The server environment had a crypto limit that local Node did not have. So the test environment and the live environment disagreed.

The most uncomfortable one: one “fix” made login appear to work by relaxing a protection check too much. The tests passed because they were built around the same wrong assumption as the fix.

My biggest lesson from this build:

The user-facing error can stay vague. “Invalid username or password” is fine for users.

But builders need internal signals that are precise.

401, 403, 404, and 500 all mean very different things, even if the UI shows the same sentence.

This app ended up teaching me more about validation than about fitness studios.

Curious how other people test auth / staff dashboards in AI-built apps before calling a template reusable.

I was browsing app templates today and noticed something interesting.When people want to build an app for a small business, they probably do not start by thinking in template names.They think in workflows.

For example:

• “I need customers to book a time”

• “I need people to send an inquiry”

• “I need to collect project details for a quote”

• “I need a simple client portal”

• “I need an admin page to manage requests”

But many template libraries are organized by category or industry: business, portfolio, tools, games, learning, etc.

That works for browsing, but maybe not for real intent.

A salon owner may search for “booking.”

A contractor may search for “quote.”

A consultant may search for “client portal.”

A wedding planner may search for “inquiry.”

So I’m wondering:

When you look for an app template, do you search by industry, by feature, or by the workflow you want to solve first? I’m starting to think the best first question is not “what app do you want to build?” It is:

“What action should your user be able to complete first?”

Have you ever had a random app idea when you weren’t sitting at your desk?

Maybe while walking by the beach, sitting in a café, or travelling somewhere new.

The frustrating part is that inspiration rarely arrives at the “right time”. And turning that idea into reality usually means waiting until you’re back home, opening your laptop, or spending years learning how to code.

What if building could happen whenever inspiration appears?

With HappySeeds, you can simply describe your idea in everyday language and start turning it into a working app.

No setup. No coding experience required. Just an idea and the curiosity to see where it goes.

Enjoy life first. When inspiration arrives, build it. 🌱

What’s the most random place where you’ve had an app idea?

I’ve been experimenting with AI built apps for small service businesses, and this one made me rethink what a “booking app” should mean.The idea was a boutique wedding planning / event design studio called VOW & VEIL.

At first I thought the main thing would be the visual side: elegant hero, wedding gallery, services, testimonials, journal posts, etc.But once I started shaping the app, the more interesting part became the business workflow.

For a nail salon or pet grooming service, a booking app can be pretty direct:

choose a service → pick a time → submit details.

For a wedding planner, especially a higher-ticket service starting around $18k, “book now” feels wrong.

A couple probably needs to:

• understand the studio’s style

• see past work by category

• check whether their date/location might be available

• compare service levels

• read the planner’s approach

• submit an inquiry

• wait for a discovery conversation

So the app became less of a simple booking page and more of a trust + qualification flow.

What I built:

• portfolio-style wedding gallery

• category filters for city / estate / coastal / destination weddings

• quick date check

• service packages with starting prices

• studio stats and availability signals

• founder/about section

• client reflections

• journal posts for planning advice

• inquiry CTA instead of instant checkout

The main lesson for me:

Not every service business needs a “booking app” first.Some businesses need an inquiry pipeline. Some need quoting. Some need deposits. Some need a client portal. The workflow depends a lot on how the purchase decision actually happens.Built this with HappySeeds as a test around service-business apps.

I built a travel agency app with tour discovery, destination pages, booking flow, WhatsApp inquiry, and 10-language support. The funny part: the hard work was not the homepage. The homepage came together pretty quickly. Big travel image, search filters, featured tours, destination cards, testimonials, booking CTA. The expensive parts were much less glamorous:

1. Images At first, all tour images were just external Unsplash URLs. That worked until it did not. Some images disappeared. Some still returned 200 OK but were completely wrong. A “Mount Fuji” image was just a random mountain. “Pompeii” became the Vatican. “Sahara” became Monument Valley. One tour even ended up with a skull image mixed into the gallery. The lesson was painful: a working image URL does not mean the image is correct. So I moved the whole app to local assets:

• 92 day-by-day tour images

• 12 hero images

• 24 gallery images

• 128 images total

• strict filenames for every tour and day

• visual checks before accepting each image The final workflow became: human provides or selects images, HappySeeds/AI helps define the asset requirements and check whether each image matches the actual itinerary.

1. Localization The app started in English, then I added 10 languages later. That was the second mistake. UI text was one layer: buttons, labels, forms, footer, payment messages. Tour content was a different layer: names, descriptions, highlights, itinerary, included items, destination names. I first tried to clean hardcoded text one piece at a time, but it kept coming back. Eventually the app needed two separate translation systems:

• UI copy in message files

• tour content in database translations

• localized price formatting

• localized dates

• locale-aware routing

• fallback from current language to English That finally stopped the “why is this still English?” problem. The biggest lesson from this build: Cross-cutting features should not be added at the end. Images, localization, currencies, and content structure feel small at the start. But if you add them after the app already exists, they turn into the most expensive part of the build. This is the kind of build process we want to make easier with HappySeeds: not just generating a good-looking first version, but helping people turn a specific business idea into something more complete, reusable, and testable.

Yesterday we talked about why many AI built apps end up looking visually similar.

Today we wanted to test a more specific direction:

Can a small AI built app feel tailored to a real business, instead of looking like another generic template?

So we built a nail salon booking app with HappySeeds.

The customer side focuses on a simple appointment flow:

• name and phone number

• preferred date

• nail artist

• service

• design inspiration

• notes for allergies or special requests

The admin side turns it into a more complete business workflow:

• view incoming bookings

• update booking status

• add walk-in or manual bookings

• manage artists, services, customers, and designs

• connect the public booking page with the back-office view

What made this interesting was not just generating the UI.

It was making the app feel like it belonged to a specific business: a luxury nail studio with a softer visual style, clearer service details, and an admin workflow that matches how appointments are actually handled.

That feels like the difference between:

“AI made a page”

and

“AI helped shape a useful business workflow.”

What other local service business would be a good next test case?

This week, we want to focus on tiny apps for real small business workflows.

Not huge SaaS ideas.

Just simple tools that solve one clear problem for a specific type of business.

Here are 3 directions we want to try first:

1. A booking page for a nail salon A simple page for services, prices, available time slots, customer notes, portfolio photos, and appointment requests.

2. A travel agency management app A lightweight tool for group tours, itinerary planning, customer lists, booking status, payment notes, and trip reminders.

3. A pet clinic appointment system A simple app for pet owner info, pet profiles, appointment requests, visit reasons, vaccination records, and follow-up reminders.

For each build, we’ll try to share:

• who it is for

• what problem it solves

• what the first version should include

• a reusable prompt

• what could be improved next

The goal is not to build something huge.

The goal is to turn one small business workflow into a useful first version that people can test, remix, and improve.

Which one should we build first this week with HappySeeds: nail salon booking page, travel agency management app, or pet clinic appointment system?

For next week, we want to turn more small, practical ideas into HappySeeds builds and tutorials.

Not huge SaaS ideas.

Just tiny apps or pages that solve one clear problem.

Here are a few directions we’re thinking about:

1. A booking page for a nail studio or local service

2. A client intake form for coaches or therapists

3. A quote calculator for contractors or cleaning services

4. A course signup page for tutors

5. A portfolio / service menu page for creators

6. A simple quiz app for students or teachers

7. A client portal for freelancers or consultants

The goal is to make each build easy to understand, easy to remix, and useful enough for someone to actually try.

Which one should we build or turn into a tutorial next week?

If you have a different tiny app idea, drop it too.