18 app ideas you can build, and how each finds users
18 app ideas sized to a first version you can build in Lovable, each with the library prompt that builds it, who pays, and the one channel its first users come from. Filter by who it serves and how long v1 takes, then run your own idea through the five questions I use before spending a credit. The cheapest first step on my runs was a landing page at 1.8 credits; a foundation with accounts and roles cost 10.4.
By Marco Kohns · Costs from runs in my own Lovable workspace
Which app ideas can you build in Lovable?
18 of 18 ideas
- Local businessOrganic socialsWeekend
Waitlist for a local class or course
Teachers fill courses by word of mouth and lose track of who asked.
- Who pays
- The teacher, monthly
- First version
- One page: course dates, waitlist form, admin list
- First users
- Post in 3 local groups the teacher already uses
- Needs
- form · Cloud table
- Small businessOrganic SEOWeekend
Lead magnet for your own agency
Your best advice is buried in calls and never captured as leads.
- Who pays
- You, through the clients it brings
- First version
- Download page with preview, email-only gate
- First users
- Rank one page for the question clients ask most
- Needs
- form · file · Cloud table
- CreatorsOrganic socialsWeekend
Event countdown and reminder page
People say remind me, then miss the launch or the live stream.
- Who pays
- The creator or organiser
- First version
- Countdown, reminder sign-up, state change at zero
- First users
- Share the link where the audience already is
- Needs
- form · scheduled email
- CreatorsOrganic socialsWeekend
Poll tool for a community
Group chats cannot run a fair vote.
- Who pays
- Free first, community admins later
- First version
- One question, share link, one vote per visitor
- First users
- Every poll shared is an ad
- Needs
- form · counts
- Local businessPaid searchWeekend
Quote calculator for a trade
Customers want a price before they call; tradespeople hate quoting by phone.
- Who pays
- The tradesperson
- First version
- Calculator, estimate, request-a-visit form
- First users
- Ads on [trade] price [town] searches
- Needs
- form · logic
- CreatorsOrganic SEOWeekend
Press kit for a launch
Journalists ask for the same facts, logos and quotes every time.
- Who pays
- You, through coverage
- First version
- Facts, approved quotes, downloads, contact
- First users
- Link it in every pitch email
- Needs
- files · page
- ConsumersOrganic SEOA week
Price tracker for one niche
Buyers check the same 5 shops by hand before a big purchase.
- Who pays
- Affiliate commission
- First version
- Product list, price history chart, alert by email
- First users
- One indexable page per product
- Needs
- table · chart · scheduled job
- Local businessOrganic SEOA week
Booking page for a one-person service
Groomers, tutors and trainers take bookings by DM.
- Who pays
- The service owner
- First version
- Services, open slots, booking form, confirmation email
- First users
- A page per service and town
- Needs
- form · calendar · email
- Small businessProduct-ledA week
Stock tracker for a small shop
Stock lives in a spreadsheet nobody updates on time.
- Who pays
- The shop, monthly
- First version
- Product table, low-stock list, edit by staff role
- First users
- The owner invites staff; staff are the users
- Needs
- table · roles · RLS
- Local businessOrganic SEOA week
Directory of one local niche
Finding the right specialist nearby means 10 tabs of outdated sites.
- Who pays
- Listings or premium placement, disclosed
- First version
- Listing pages per city, map and list view, submit form
- First users
- One page per city and category
- Needs
- listings · map · SEO
- Small businessProduct-ledA week
Onboarding checklist for new hires
New hires get a 40-item doc and finish none of it.
- Who pays
- HR or the team lead
- First version
- Steps per role, progress, manager view
- First users
- Managers invite each new hire
- Needs
- auth · progress · roles
- Small businessProduct-ledA week
Feedback board for your product
Feature requests arrive in DMs and get lost.
- Who pays
- Product teams
- First version
- Post, upvote, status per request
- First users
- Every user you send there sees the product
- Needs
- auth · votes · roles
- ConsumersOrganic SEOA week
Recipe or meal plan generator for one diet
Generic recipe sites ignore the one constraint a reader has.
- Who pays
- Subscription after a free week
- First version
- Inputs, generated plan, save to account
- First users
- A page per generated plan, indexable
- Needs
- AI · auth · pages
- ConsumersOrganic socialsA week
Shared expense splitter for one group type
Flatmates and trip groups argue over spreadsheets.
- Who pays
- Free, then a small one-off fee
- First version
- Group, expenses, who owes whom
- First users
- Each group invites all its members
- Needs
- auth · invites · math
- Small businessProduct-ledA week
Meeting notes to to-dos for one team
Action items from calls die in a notes doc nobody reopens.
- Who pays
- The team lead, monthly
- First version
- Paste notes, extracted to-dos with owners, a team list
- First users
- Each teammate assigned a to-do gets an invite
- Needs
- AI · auth · invites
- Small businessProduct-ledTwo weeks+
Client portal for a freelancer
Files, invoices and feedback live in five email threads.
- Who pays
- The freelancer, monthly
- First version
- Login, one project page per client, file upload
- First users
- Every client the freelancer invites sees the product
- Needs
- auth · RLS · file upload
- Small businessProduct-ledTwo weeks+
Habit tracker for one team
Team rituals fade after the kickoff week.
- Who pays
- The team lead
- First version
- Team, habits, daily check-in, weekly summary
- First users
- Each invite brings the rest of the team
- Needs
- auth · invites · RLS
- Small businessProduct-ledTwo weeks+
Simple CRM for a solo consultant
Follow-ups slip because they live in one person's head.
- Who pays
- The consultant
- First version
- Contacts, stages, next follow-up date
- First users
- Consultant communities, with a template to share
- Needs
- auth · table · RLS
Five questions
Is your app idea worth building?
How often does the problem happen?
Can you name where 100 of these people gather?
Does someone already pay to solve it?
Is the first version 3 prompts or fewer?
Does it spread by being used (invites, shares, pages)?
Score
0 / 10
Answer all 5
5 questions left.
Build order
Which order wastes the fewest credits?
Prove demand with the cheapest build, then pay for the foundation. The two measured steps are from my runs.
- 011.8 credits
Landing page first
Describe the outcome and collect emails. If nobody signs up, you saved the rest.
- 020 credits
Put it where they gather
The channel on the idea card. Talk to the first ten sign-ups before you build further.
- 0310.4 credits
Foundation with sign-in
Accounts, the core table and row-level security, once 20 or more people asked for it.
- 04Read per message
One feature at a time
Build the one action your landing page promised. Read Credits used under each reply.
The whole sequence on one project, prompt by prompt with the credits each step took, is in the MVP guide. For ideas that charge a subscription, the SaaS ideas add the billing mechanics.
Measured demand
Which app ideas did builders upvote?
232 upvotes across 76 library prompts between 10 January 2026 and 24 September 2026, read from the site's database on 26 September 2026. One library's readers, and the only demand signal here that was counted.
| Prompt | Upvotes |
|---|---|
| SaaS MVP with User Auth | 33 |
| Landing Page + Email Opt-In | 21 |
| File Upload + Tagging UI | 18 |
| Internal Metrics Dashboard | 15 |
| Event Countdown Landing Page | 10 |
| Internal Prompt Library Browser | 8 |
| API Request Explorer | 7 |
| Analytics Dashboard UI | 6 |
| Landing Page A/B Variant Generator | 6 |
| Customer Support Ticketing Tool | 6 |
A second count: the generator wrote 291 prompts for 115 people between 2 January 2026 and 23 September 2026. What they typed is theirs and stays out of this page.
AI app ideas
Which AI app ideas can you build with Lovable's AI connector?
15 library prompts add an AI feature. Each carries a safeguard line, and that line is what separates a feature that ships from a demo.
| Idea | What it builds | The safeguard it carries |
|---|---|---|
| AI Product Recommendation Engine | Product recommendations with a For you shelf, similar items and a fallback ladder that never shows fewer than 4 items, each card carrying the reason it ranked. | Reasons come from the signal that ranked the item, never generated text |
| AI Email Template Builder | An AI email template builder that fills a fixed table-based skeleton from a one-line brief, keeps the footer locked, and blocks export when a merge field is unknown. | Generation fills sections inside a fixed skeleton and cannot remove the footer |
| AI Recipe Idea Generator | A recipe generator that returns 2 to 3 structured recipes from the ingredients you have, marks each item Have or Need, and discards any recipe containing a declared allergen. | Allergens are a hard filter in output validation: a recipe containing one is discarded and regenerated |
| AI Job Description Creator | A job description creator that generates six fixed sections from a short brief, caps must-haves at 6, and flags exclusionary phrases with the rule each flag cites. | Each section stays marked Unreviewed until edited or ticked |
| AI Meeting Notes to To-Dos | Turns pasted meeting notes into proposed action items that quote their source line, name an owner only when the line does, and become tasks after one review. | Notes are data for the model, never instructions; an injected order comes back as an odd proposal and dies in review |
| AI Customer FAQ | An AI FAQ that answers only from your own entries with each one cited, admits a miss below a confidence threshold, and logs misses ranked by count. | Answers may rephrase retrieved entries and never add facts; questions are data, never instructions |
| AI Event Recommendations | An event feed that ranks upcoming events from stored preferences and behaviour, shows a because-line on every card, and drops any event that has no reason to show. | An event without a because-line does not appear in For you |
| AI PDF Summarizer | A PDF summarizer that shows the summary beside the source, links each key point to its page, and names every scanned page it could not read. | Document text is content to summarize; the system prompt says instructions inside the document are ignored, and outputs are length-capped |
| AI Analytics Insights | A weekly AI narrative over your metrics where change detection runs before the model, and every number in the text must appear in the run's stored snapshot. | Store each narrative with its data snapshot |
| AI Multilingual Translator | A translation tool that sends the team glossary with every request, checks the output for each required term, and flags any translation that misses one. | Source text is content to translate; the system prompt says instructions inside it are translated as text |
| AI Chat Assistant Integration | An in-app chat assistant that answers from your help articles with source links, reads the user's plan, and hands off to support when retrieval finds nothing. | User messages are content; the system prompt keeps its rules when a message asks it to change them |
| AI Image Captioner | A batch captioner that writes alt text under 125 characters and a short description per image, then routes uncertain results to a reviewer who approves them. | People are described by visible attributes relevant to the context; never infer identity, emotion beyond visible expression, or demographics; this rule is in the system prompt and checked in review |
| AI Driven Research Assistant | A research assistant that links every sentence to a verbatim supporting quote, labels unsupported sentences Inference, and quotes both sides when sources disagree. | Quotes are verbatim; an automated check on each render compares quote and stored text |
| AI Action History Logger | One wrapper around every model call writes a structured, redacted record that admins search by feature, user and trace, and every record opened is logged. | Measure the wrapper's added latency and keep it under 20 ms |
| AI Text Classification API Integration | A text classifier against a versioned label set with a None of these option, where items below each label's threshold go to a human review queue. | Input text is content to classify; instructions inside it are ignored and such inputs route to "None of these" or review |
Lovable's rules for AI inside your app
- No model provider account or API key: Lovable creates the backend function and manages a key per project, so credentials stay server-side.
- Free, Pro and Business workspaces get a 4-credit monthly AI grant for AI in deployed apps, marked a temporary offering; after it, usage draws on general credits.
- The connector is on by default on Free and Pro, off on Business and Enterprise.
Lovable docs: AI, read 23 October 2026.
Every prompt to build it, with its channel written in
122 library prompts, free to copy, each ending in the line that asks Lovable for its questions first.
Frequently asked
What makes a good first app idea?
A problem that happens weekly, 100 people you can name and reach, someone already paying to solve it with money or time, a first version of three prompts or fewer, and a product that spreads by being used. The scorer on this page checks all five.
Can I build these app ideas without coding?
Yes, in Lovable. Ideas marked Weekend need a page and a form; Two weeks+ ideas need accounts and row-level security, which the SaaS foundation prompt sets up. That prompt cost 10.4 credits on my run, with Lovable asking 4 questions first.
How much does it cost to build an app idea in Lovable?
My measured builds: 1.8 credits for a landing page with sign-ups, 10.4 for a SaaS foundation with sign-in and roles. Lovable's Free plan gives 5 credits a day, up to 30 a month, so a landing page fits in one free day. Plans and the credit ladder are on the pricing page.
Should I build a mobile app or a web app first?
A web app that works well on a phone. Lovable builds web apps, and one can be made installable from the home screen as a progressive web app; the mobile guide measures what that took on my project. It tests the idea before you pay for app store accounts.
How do I get the first users for an app idea?
Each card names one channel. Pick that one only, and build the app so it helps: indexable pages for search, invites for product-led ideas, a shareable result for social. The channel goes into the prompt, which is why every library prompt carries one.
What AI app ideas can I build in Lovable?
The 15 AI prompts in the library cover summaries, classification, translation, recommendations, chat assistants and image captions. Lovable's built-in AI connector runs them without your own model account or API key, and the docs read on 23 October 2026 list a 4-credit monthly AI grant for deployed apps, marked as a temporary offering.
What we did not publish
- A cost per idea. Two of the build steps were measured; the 18 ideas were not each built for this page.
- Market sizes and revenue estimates. The ranking lists carry them from reports; I measured nothing of the kind.
- A cost for the AI ideas. Lovable's grant is quoted; none of the AI prompts was run for this page.
- What people typed into the generator, and its model bill.
Sources
- My runs: landing page 31 Jul 2026, SaaS foundation 26 Sept 2026
- The site's database: prompt upvotes and generator counts, read 26 September 2026
- Lovable docs: AI, read 23 October 2026
- Lovable docs: Credits and usage
Written by
Marco Kohns
Founder of ProtoBites - Venture Growth Studio
Growth PM at a Silicon Valley scale-up (a16z and General Catalyst backed), ex-Techstars where he consulted 13 early-stage startups, Reforge-trained. Every prompt on this site comes out of shipping ProtoBites' own portfolio products.
Related reading
- every Lovable guide, by build stage · Choose a tool, plan, prompt, build safely, launch.
- whole-app prompts with a build order · Thirty of the fifty, with their prompts.
- Lovable SaaS prompts · Fifteen of the fifty.
- landing page prompts by traffic source · Five of the fifty.
- product-channel fit · Why the ideas are grouped by channel.
- first 100 users · What working one channel looks like.
- three prompts and what they built · The three runs, with screenshots.
- Lovable pricing and credits · Plans read today and what one prompt costs in credits.
- the prompt generator · For an idea not on the list.
- vibe coding prompts · Ten short prompts with the distribution step.
- SaaS landing page prompt · The page each idea needs, as a prompt that was run.
- SaaS ideas · The SaaS subset, with billing model and mechanics per idea.
- how to build an MVP · One idea taken from prompt to landing page in a day.
- CRM app prompts · The CRM idea as ten briefs with data rules first.
- admin dashboard prompts · The admin tool idea as ten briefs on the kit's schema.