Big Idea

The argument in one line.

Converting existing spreadsheets into interactive mini web apps using Claude and Lovable takes under an hour with no coding and produces a more premium, unsaturated product than selling spreadsheets themselves.

Who This Is For

Read if. Skip if.

READ IF YOU ARE…

You have a working Google Sheet or Excel file solving a real problem in your business and want to package it as a sellable digital product without learning to code.
A solopreneur or small business owner with 0-2 years of digital product experience who wants to validate a product idea quickly and start selling within days, not months.
You're already selling spreadsheets or digital tools and want to upgrade your offering to something more interactive and premium-priced without hiring a developer.

SKIP IF…

You need to build something with complex backend functionality, user authentication, payment processing, or data persistence — this covers only front-end interactive tools.
You're looking for a complete business system or go-to-market strategy — this is purely the product-building mechanics, not how to market or sell the final app.
Your spreadsheet solves a problem that's already saturated with polished web apps — the opportunity here assumes minimal existing competition in your specific niche.

TL;DR

The full version, fast.

Spreadsheets sell, but the market is saturated and racing to the bottom � the unsaturated opportunity is converting that same proven demand into interactive mini web apps that people will pay $17-$97 for because they buy transformation, not rows and columns. The method uses two tools in sequence: Claude Chat as the brain for planning and Lovable as the builder, since Lovable handles authentication, database, and deployment automatically. Upload your spreadsheet to Claude, request a product brief, then ask what decisions need locking before any code is written. Build in Lovable in seven layered prompts rather than one giant request: foundation, onboarding, core feature, dashboard, export, settings, polish. Batch bug fixes into one prompt with explicit scope limits.

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Chapters

Where the time goes.

00:00 – 01:52

01 · Cold open — spreadsheets are obsolete

Pattern interrupt against the current AI-spreadsheet trend. Introduces the upgrade: mini web apps. Shows the Symptom & Wellness Tracker demo. Ends with NO CODE NEEDED / NO DEVELOPER title card.

01:52 – 04:39

02 · The opportunity — why spreadsheets sell and why web apps sell more

Luna introduces herself with the Times Square billboard credential. Validates demand with Profitree Etsy data (6-figure spreadsheet sellers). Pivots to the core thesis: stop selling information, sell transformation.

04:39 – 06:48

03 · The two-tool stack: Claude Chat + Lovable

Recommends Claude Chat for thinking, Lovable for building. Warns against jumping straight to Claude Code (token burn, messy debugging). Shows Lovable's interface and auto-deployment capability.

06:48 – 09:07

04 · Step 1 — product brief prompt

Upload spreadsheet to Claude Chat. Use the product brief prompt: analyze as a product system, not just data. Claude returns complete brief with user journey, MVP scope, tech stack. Do this before opening Lovable.

09:07 – 10:23

05 · Step 2 — pre-build decision questions

Ask Claude: what decisions do I need to make before any code is written? Answer the 8 questions in 90 seconds. Locks in architecture before touching Lovable.

10:23 – 13:05

06 · Step 3 — build in 7 layers inside Lovable

7-prompt layered build: foundation, onboarding, core feature, dashboard, report/export, settings, final polish. Each prompt shown on screen. Demo shows finished Symptom Tracker with wellness charts, trigger frequency graphs.

13:05 – 14:45

07 · Testing and bug batching

Complete user journey test found 3 bugs. Batch all fixes into one prompt ending with 'Fix only what I listed. Do not modify anything else.' Fixed in 2 minutes.

14:45 – 15:59

08 · CTA — your Google Drive is a gold mine

Reframes existing trackers, checklists, and Excel sheets as raw material for a $27–$97 product. CTA: comment 'free' for the full free course.

Atomic Insights

Lines worth screenshotting.

The spreadsheet-to-mini-web-app conversion is the most underrated opportunity in digital products in 2026 — high proven demand, near-zero competition in the interactive format.
A spreadsheet solves a real problem but feels like homework; a web app that solves the same problem and visualizes the result immediately feels worth paying premium for.
Spreadsheets on Etsy pull six-figure revenue proving the demand is real — but the race to the bottom on price means the spreadsheet format is the wrong container.
Claude Chat handles the planning and architecture thinking; Lovable handles the actual build — using the right tool for each phase prevents burning tokens on the wrong step.
Jumping straight into Claude Code for a mini web app when you are a beginner can turn a one-hour project into a two-day debugging session.
Lovable automatically handles authentication, database, and deployment as a byproduct of building — there is no separate hosting or upload step.
When a product is done in Lovable it publishes to a real URL with a real login — the deliverable is already live before any sales page is written.
You are not selling a spreadsheet — you are selling the transformation, the speed, and the elimination of friction that the web app provides over the raw data grid.
Any spreadsheet built to solve a real problem already has logic, a workflow, and a user who needs it — the conversion work is packaging, not ideation.
A mini web app priced between $17 and $47 competes in a market that is almost entirely empty while the $2 spreadsheet market is saturated beyond recovery.
Claude's intelligence is best used for planning what to build; its tokens are burned fastest when used to also do the building — separating the two roles saves money.
The Profitree tool scrapes real Etsy sales data to validate demand before building — using market data to select the spreadsheet to convert eliminates guesswork entirely.

Takeaway

Sell the upgrade, not the original.

$6 Stack playbook

The spreadsheet already has proven demand — all Luna is doing is upgrading the delivery vehicle from a grid to a product, and charging 10x more for the same underlying logic.

Use the Product Brief Prompt before touching any builder: upload your asset, ask Claude to analyze it as a product system.
Ask 'what decisions do I need to make before code starts?' and answer in 90 seconds — this alone prevents the most common rebuild loops.
Build in 7 sequential prompts in Lovable (foundation first, polish last) — never one giant prompt.
Batch all bug fixes into one prompt ending with 'Fix only what I listed. Do not modify anything else.' This is the line most people skip.
The $6 Stack version of this: self-host the Lovable output — you own the product, not a Lovable URL.
The market for mini web apps converted from spreadsheets is still unsaturated in 2026 — this is the same window the $6 Stack pitch is for.

Glossary

Terms worth knowing.

AI artifact: A small, interactive piece of software generated with AI tools — often a focused single-purpose app with buttons, forms, or dashboards — rather than a static document or spreadsheet.
Mini web app: A lightweight, browser-based application built around one focused use case, typically including interactive elements like forms, filters, charts, and a dashboard instead of rows and columns.
Claude Chat: The conversational chat interface for Anthropic's Claude model, used here for brainstorming, planning, and producing a product brief before any building begins.
Claude Code: Anthropic's command-line coding agent that writes and edits real code in a project. Powerful for development but consumes tokens quickly and can be hard for beginners to debug.
Lovable: A no-code AI builder that turns natural-language prompts into working web apps. It automatically handles authentication, the database, and deployment so the finished app ships with a live URL.
Tokens: The units of text an AI model processes. Each prompt and response consumes tokens, and heavier coding tools burn through paid token quotas faster than lightweight chat tools.
Vibe coding: Building software by describing what you want in natural language to an AI tool rather than writing code yourself, letting the AI handle the implementation details.
Profitree: A market-research tool that scrapes Etsy for real sales data, letting sellers see what digital products are actually moving and how much revenue listings generate.
Etsy: An online marketplace popular for digital products like spreadsheet templates, planners, and trackers, often used as a benchmark for proven demand in this niche.
MVP: Minimum viable product — the smallest version of a product that still delivers the core value to a user, used to ship and learn quickly before adding extras.
Product brief: A short document that defines what an app does, who it's for, the user journey, and what to include or leave out, used to align the build before any code is written.
App shell: The basic structural skeleton of an app — navigation, layout, and core pages — built before any features are added so later work has a stable foundation.
Authentication: The login system that verifies who a user is, typically with an email and password, so each person sees only their own data inside the app.
Onboarding: The initial setup flow a new user goes through when they first sign up, collecting the information the app needs before they can start using its core features.
Dashboard: A single screen that summarizes a user's key data with charts, progress indicators, and headline numbers so they can see status at a glance.
CSV: Comma-separated values — a plain-text file format for tabular data that can be opened in spreadsheets, commonly used as an export option from web apps.
User journey: The step-by-step path a person takes through an app, from signing up to completing the main task, used as a checklist for testing that everything works end to end.

Resources Mentioned

Things they pointed at.

04:39toolLovable ↗

02:43toolClaude (Anthropic) ↗

02:48toolProfitree

Quotables

Lines you could clip.

03:51

“You're not selling information anymore. You're selling a transformation. You're selling speed. You're selling the results without the friction.”

Clean 3-part escalation, no setup needed, works as a standalone clip→ TikTok hook↗ Tweet quote

10:00

“Every time an app breaks... it's always because they made an assumption instead of making a decision.”

Punchy insight, relatable failure mode, applies broadly beyond apps→ IG reel cold open↗ Tweet quote

08:31

“Ideas are cheap, and clarity is what sells.”

Six words, zero fluff, quotable standalone→ newsletter pull-quote↗ Tweet quote

04:39

“The gap between I have a spreadsheet and I have a live sellable product is now just forty five minutes.”

Specific number, tangible transformation, drives curiosity→ TikTok hook↗ Tweet quote

The Script

Word for word.

metaphorstory

00:00Alright. So you've probably seen these videos. Like, there's so many videos out there right now telling you that you can build Excel sheets with Quad.

00:06And look. Yes. This is actually super cool.

00:08I'm not going to sit there and pretend that it's not. But here's what nobody is telling you. That is already about to become completely obsolete because you can actually take it a step further, like way further.

00:18So instead of building a spreadsheet, you can actually build an AI artifact, like a mini web app, something that is way more interactive, more visual, more sellable than any Google Sheet you've ever seen. So we're talking about easy to visualize dashboards like app like behavior, the kind of tool that looks like a developer built it except you built it in under an hour with no code.

00:39And, specifically, a mini web app can actually include button, filters, forms, charts, and data visualization, simulation and calculators, guided workflows where the user knows exactly what to do next, and app like behavior with a real dashboard.

00:57So instead of dropping someone into a grid with rows and columns, you're actually designing an experience, and that's the difference.

01:05Because let's face it, Google Sheet and Excel are super intimidating for most people. You cannot tell me with a straight face that you actually enjoy opening spreadsheets. Like nobody does because it feels like homework.

01:16It almost feels like you're filling out a tax form, and most of us would rather avoid it. But a clean interactive web app that does the exact same thing and is easier to use, something that shows your data right away instead of having you having to dig for it, that people will pay a pretty penny for that.

01:34So here's what I did. I took a boring Google Sheet, the kind that looks super intimidating, something that's just like rows and columns doing basic math, and I actually turned it into a fully functional mini web app that I can actually sell from anywhere between $17 to $47.

01:52So no code needed, no developer, and no technical background required. And listen. The whole thing took me less than an hour using Clog and another byte coding tool that is completely underrated and that most people completely overlook.

02:05So if you've been sitting on a spreadsheet, a checklist, a tracker, or literally any kind of Excel sheet that you build to solve a real problem in your own business or maybe your boss's business, this video is going to completely change how you think about what you can actually sell. Because here's the truth. You're sitting on a gold mine right now, and you might not even realize it.

02:25So real quick, if you're new here, I'm Luna, and I've helped thousands of people build their first sellable digital product. I've been featured on Times Square's billboard for it, and I'm obsessed with finding opportunities before they even go mainstream. And right now, many web apps converted from spreadsheets.

02:40This is one of the most underrated opportunities in the digital product space. So let's get into it. So here's the thing about spreadsheets.

02:46They sell, and here's the data to back this up. So if you use a spike tool like Profitree, which actually scrapes Etsy for real sales data, you will see that spreadsheets are pulling in 6 figures in average.

02:59So you have budget trackers, meal planners, content calendars, cleaning schedules. So, yes, 6 figures from spreadsheets.

03:06So spreadsheets are high in demand because think about it. When somebody builds a spreadsheet, whether it's a budget tracker, a content calendar, a symptom log, a meal prep calculator, a habit tracker, they're solving a real problem that they or somebody else actually has.

03:22There's already logic built in, and there's already a workflow, and there's already a user who needs this. The problem is is that a spreadsheet, well, it feels like homework.

03:31Like, nobody wakes up on a Monday morning and thinks, oh, wait. I can't wait to open my Google Sheet. Like, nobody.

03:37And if you tell me with a straight face that you love Excel, uh, we can't be friends. But a clean interactive web app that does the exact same thing that visualizes your data faster, that has buttons and filters and a nice dashboard, people will pay premium for that.

03:52Because you're not selling information anymore. You're selling a transformation. You're selling speed.

03:58You're selling the results without the friction. And, also, let's face it.

04:02The problem as well now is that every spreadsheet under the sun has already been created. So if you try to sell a generic budget tracker on Etsy in 2026 or any other platform, you're gonna be competing with hundreds of other sellers who are selling the exact same thing for a dollar or even $2. So the race to the bottom is real.

04:24So what do you do? You do what almost nobody else is doing. You take that same concept, the same proven demand, and you turn it into a mini web app, something that's interactive, something that is branded, something that is sellable, and completely unsaturated.

04:38And with AI, the gap between I have a spreadsheet and I have a live sellable product is now just forty five minutes. So let me show you exactly how.

04:48My recommendation is that you use two tools for this, and I do this. Like, I use Claude and Lovable. Claude is the brain, and Lovable is the builder.

04:55Now a lot of you know that I love Claude. I talk about it consistently, but I wanna be really honest with you here because this matters.

05:03So if you jump straight into Cloud Code to build your app, your one hour project can easily turn into a two day headache, especially once you start adding things like a login system, a database, user accounts, the list goes on. Right? Cloud Code racks up also tokens really fast, and it also gets messy.

05:21And if you're a beginner, debugging is not fun on Cloud Code. But Lovable, this is a tool that I feel not a lot of people are talking about in our space.

05:30It's completely underrated in my opinion. So here's what Lovable does that changes everything. When you build in Lovable, it handles authentication, database, and your deployment automatically.

05:41So this is just a byproduct of just building the thing. And when your app is done, you can simply deploy it live, and it's gonna publish it to a real URL and a real login. Like, there's no extra step needed.

05:53So no need to upload files to the server. No need to figure out hosting. It's just done.

05:58So the workflow that I recommend that you use as a beginner is first you use Clot Chat, not Clot Code. And what you're gonna do is you're gonna use Clot Chat to think through what you're building. And then what I like to do is I use Lovable to actually build it.

06:12This way, what I'm doing is I'm using Cloud's intelligence to plan the app that I'm gonna build without burning through all my tokens.

06:20Because if I were to do the brainstorming on Cloud Code, then I would burn out all my tokens without even having started. Listen.

06:28Just to show you, I actually build the exact same tool both ways, and I want you to see the difference. So notice how the lovable version is just cleaner. The user experience is better.

06:38It feels more polished straight out of the box, and that actually matters when you're trying to sell something for $47. So Claude does the thinking for you and Lovable builds. That's a system that is beginner friendly.

06:50Now I'm not saying that you can't use Claude code. Absolutely. But this is just way easier, especially if you're a beginner.

06:57The first instinct is to open Cloud and type something like build me a health tracker app. And then they're confused when what comes back is either completely generic or totally unusable.

07:09So here's why that happens. When your prompt has no context, Cloud has to guess everything.

07:15So it has to guess what the app actually does, who is it for, what does the user experience is step by step, what gets stored, what gets calculated, what's the output. So Cloud has to fill in all those blanks on its own, and its guesses are not your business.

07:32So instead, here's a prompt that I like to use, and this one changed everything for me. So first, what I do is that I upload a spreadsheet that is similar to what I wanna sell, and I upload it directly into Clotshot, and then I write.

07:48I want to convert this uploaded spreadsheet into a simple mini web app. Your job is to analyze a spreadsheet as a product system, not just data.

07:58Review what the file does, how the data is connected, what the outcome is for the user, and translate it into a simplified mini app idea. Give me a complete product brief.

08:10So that one prompt by itself gives you everything. It comes back with what the app should do, what the user journey looks like, what the MVP needs to include, and what you can leave out for now.

08:22So think of it as like having a product manager inside your computer, one who actually goes through the spreadsheet. And here's why this step matters so much before you even open Lovable, because ideas are cheap, and clarity is what sells. And listen.

08:37I've watched people spend three hours on Lovable building something, and then they realize halfway that they don't even know what the main outcome of the app is supposed to be, and then they have to tear it down and start over. But when you do this product brief step first, you walk into the build knowing exactly what you're creating.

08:56You have a clear output. You know what the user is going to do, what they get, and why they would pay for it.

09:03And that is the difference between a product that sells and a product that just exists. Now here's a step that most tutorials completely skip, and it's the one that's gonna save you the most time. So once I have the product brief, I don't immediately jump into Lovable.

09:18I do one more thing. I ask Claude, what decisions do I need to make before any code gets written?

09:25And then it's gonna come back for me with a list of questions. Things like, can user edit their data after they submit it? Is this a single user app or a shared one?

09:35Does the app need to save data between session? What does the dashboard actually need to show? Does the user need to export anything?

09:42When I did this for this project, Claude gave me eight questions. So I answered all eight in about ninety seconds. So ninety seconds, that's it.

09:50But those ninety seconds locked in every decision that would have caused me to rebuild sections later. So every time an app breaks and someone says, like, I don't know why it's doing this, it's always because they made an assumption instead of making a decision.

10:07So they skipped the step. So good architecture is actually chosen before you actually start building.

10:13You don't try to figure it out while you're debugging, trying to wonder why the data isn't saving. Okay.

10:20So now we're inside Lovable, and this is where the magic happens. But, actually, I wanna show you how I actually do this because it's different from what most people do. So most people open Lovable, and they're gonna try to describe the entire app in one giant prompt.

10:35Everything at once. The login, the dashboard, the form, the calculation, the mobile layout, the color scheme, all in one go.

10:42And listen. The output is gonna look okay until a real user actually touches it and things start to break, especially when you have a very long prompt. So things might not connect the way you expect.

10:54Like, the logic might feel off. So here's what I like to do instead. I like to build in layers.

10:59So prompt number one is gonna be the foundation, the database, the login, the app shelf, nothing else. Right?

11:05I'm not building features yet. I'm building the skeleton, the bones. Then prompt two is gonna be the onboarding.

11:11How does a user get set up? Right?

11:14What do they need to tell the app before they can start using it? Prompt number three is gonna be the core features. In this case, so it could be the daily tracking form.

11:23So this is the thing the users actually comes back to do every day, and this is the heart of the app. Then we have prompt number four, which is a dashboard.

11:32This is where users see their data summarized, the charts, the progress, the indicators, the key numbers at glance. And then we have prompt number five, which is the report generator slash the exporting feature.

11:44So can the user get their data out? Would it be a PDF, a CSV file, a summary, like something that they can take and use?

11:52And then prompt number six is settings, account preferences, profile, or any customization option.

11:59And then prompt number seven is the final polish. Right? The loading states, error messages, mobile fixes, like the tiny things that make it feel finished versus dysfunctional.

12:09So why does this matter? Because when you build in layers, each step has a solid foundation underneath it.

12:16And if something breaks, you know exactly which layer broke. You don't have to dig through a thousand lines of AI generated code trying to figure out what went wrong or trying to go back and trying to, like, revive code it.

12:29Right? You simply go back to the layer or the prompt that broke, and then you fix that layer. And then the total time across all these seven prompts, depending on how complex they are, it's gonna take anywhere between half an hour to forty five minutes.

12:44And when it's done, all you have to do is, like, click around, debug it, and just deploy it. So you're gonna get a real URL, a real database, real login, ready to share, ready to sell. So after I build, I always run one complete user journey from start to finish before I show it to anyone.

13:00So I recommend that you sign up as a new user, you go through the onboarding, you use the core feature, you check the dashboard, you open it on mobile, and you can test mobile as well.

13:11This is where you can find bugs. In my case, I found three bugs on this build. So a calculation showing the wrong value in one spot, I had a display issue on mobile where the button was overlapping text, and then I also had the report was pulling in the wrong date range.

13:27So it was nothing catastrophic, but things that a real user would actually notice. So here's what I didn't do.

13:33I didn't ask it to fix one thing separately. Separately. Like, I knew exactly where the error were based on how I prompted it, but what I did is that I told this specifically, okay.

13:44So this section needs to be fixed. Right? And I explained exactly what the fixes needed to be.

13:50Because with AI, you can easily fix something, and then it's gonna accidentally remove something else and break something else. Right?

13:59And it happens a lot. You fix a button, and then suddenly the dashboard stops loading, and it's not working.

14:05Right? So that's not ideal. Instead, what I recommend you do is that you batch all these bugs into one single prompt.

14:11You describe each issues clearly. You told it exactly what the expected behavior is, and then you add one critical line at the end. Fix only what I listed.

14:22Do not modify anything else. So that prompting itself is gonna help you fix the three bugs in about two minute.

14:30And then, essentially, what I recommend you do is that you batch your fixes. And trust me, this is gonna make all the difference. Alright.

14:36So here's what I want you to actually take away from this. You probably already have the raw material for a mini web app sitting somewhere in your Google Drive, and you just have no idea. It could be a tracker that you built for yourself.

14:48It could be a checklist that you sent to clients. It could be an Excel sheet formula that you put together to solve a problem in your own business or your own life. It could be something that you built for free for yourself and that you never thought could become a product.

15:01So that thing right there with the right prompt and the right order can become an AI artifact. Something that can become a $27 product, a $47 product, even a $97 product.

15:14And you can do that by tomorrow because the tools are here. The technology is getting better and better every single day. The market is still completely wide open, but most people haven't caught on to this yet.

15:25And the only thing standing between you and a sellable product is knowing what to prompt and in what order. Now if you want to go deeper on this, on how to find the right niche, how to price your app, how to actually sell it without a big audience, I put together a free course right here on YouTube that actually walks you through the entire system from a to z.

15:44So comment the word free down below, and I'll send it directly to you. And listen, do me a favor right now. Open your Google Drive, look at what's already in there, because I promise you, you're closer than you think.

15:56Alright, guys. I'll see you in the next one. Bye.

The Hook

The bait, then the rug-pull.

The spreadsheet-to-AI-artifact pivot is the argument Luna Vega opens with — and she makes it land. Before you've even settled in, she's already called out the wave of Claude+Excel tutorials as yesterday's news and reframed the entire opportunity: the race to the bottom on spreadsheets is real, but mini web apps built from the same proven demand are completely unsaturated.

Frameworks