MagnetIQ: AI-Powered Lead Magnet Generator & Quiz Optimizer

Problem and target customer

Why this exists

Customer problem

Creators and marketing teams manually stitch together quiz copywriting, result segmentation, and lead magnet design across disconnected tools, delaying lead capture campaigns by days.

Who pays

Indie creators and small marketing teams running lead-gen quizzes who need segmented lead magnets but lack a copywriter or designer.

Business model

Monthly subscription with a paid workspace tier for higher generation volume and published quiz pages.

Editorial note

MagnetIQ compresses the lead-magnet creation pipeline into a single prompt. A creator enters a topic, and the system generates a quiz with segmented results and matching downloadable checklists—ready to publish and capture emails.

The MVP keeps scope tight: one topic input, one generation pass, inline editing, a published quiz page, and a leads dashboard. A/B testing, CRM sync, and custom branding are deferred until beta usage confirms willingness to pay.

Choose your next step

What do you need next?

Evaluate the operating tradeoffs quickly, or inspect how to build the MVP.

Evaluate this ideaSee the cost and deployment preview

Compare the three operating paths at the default workload before opening the full calculator.

See cost preview Build this ideaInspect the build blueprint

Review MVP scope, workflow, states, data rules, architecture, and acceptance criteria.

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Evaluation preview

What would it take to run?

Directional infrastructure estimates for the current 1,500 relationship records assumption. Open the full calculator when you are ready to change it.

Open full cost and deployment

ManagedSelected

$31-$74/ month

Managed app hosting, database, backups, and basic observability for the crm workflow.

Lowest operating effort

Lean self-hosted

$14-$37/ month

One small VPS running the app, database, media volume, and backup job.

Lowest baseline cost

More control

$51-$134/ month

Separate app, data, storage, and worker capacity for cleaner operations.

Most separation and control

Build blueprint

Build the first paid use case

Product goal

Who it serves and what it must change

Target user: Indie creators and small marketing teams who run lead-gen quizzes
Problem: Creating a quiz with segmented results and matching lead magnets requires manual copywriting and design across multiple tools
Measurable outcome: A creator enters one topic prompt and publishes a quiz with 3 result segments and downloadable lead magnets within 10 minutes

MVP scope

What ships now and what waits

Included

Topic prompt input with AI quiz generation
Inline editor for questions, segments, and lead magnet content
Published quiz page with email gate
Per-segment PDF lead magnet download
Leads dashboard with segment grouping and CSV export

Excluded

A/B testing of quiz variants
CRM or marketing automation integrations
Custom branding and white-label domains
Advanced funnel analytics

UX and user flow

Screens, actions, and states

TopicInput

Creator enters topic and triggers generation

Type topic promptClick generateView animated progress

QuizEditor

Review and edit generated questions and segment copy

Edit question textReorder questionsEdit segment descriptions

LeadMagnetPreview

View and edit downloadable lead magnet per segment

Preview PDF contentEdit checklist itemsRegenerate content

PublishedQuiz

Public-facing quiz page for respondents

Answer questionsEnter email to unlock resultDownload lead magnet

LeadsDashboard

View captured leads grouped by segment

Filter by segmentExport CSVView lead count per segment

Primary flow

TopicInput → QuizEditor → LeadMagnetPreview → PublishedQuiz → LeadsDashboard

Loading, empty, and error states

draft — quiz generated but not yet edited
ready — quiz edited and lead magnets confirmed
published — quiz page live and capturing leads
archived — quiz unpublished and no longer capturing

Core entity outline

Entities and business rules

Quiz

Top-level record for a generated quiz campaign

Fields: id, topic, status, published_url, created_at
Relations: has many Questions, has many ResultSegments

Question

Individual quiz question with answer options

Fields: id, quiz_id, text, options, order
Relations: belongs to Quiz

ResultSegment

A scored outcome with description and linked lead magnet

Fields: id, quiz_id, title, description, lead_magnet_id
Relations: belongs to Quiz, has one LeadMagnetDoc, has many Leads

LeadMagnetDoc

Downloadable checklist-style PDF content for a segment

Fields: id, segment_id, title, content, download_url
Relations: belongs to ResultSegment

Lead

Captured respondent email with segment assignment

Fields: id, quiz_id, email, segment_id, captured_at
Relations: belongs to Quiz, belongs to ResultSegment

Business rules

A quiz cannot be published until at least 3 questions and 2 result segments exist
Each result segment must have a linked lead magnet document before publishing
Email capture is required before a respondent sees their result and download link
A quiz in archived status stops accepting new leads and returns a 410 on its published URL

Architecture and data flow

Components, integrations, and controls

Lovable frontend

Renders topic input, editor, published quiz page, and leads dashboard

Make orchestration

Calls OpenAI on topic submit, writes generation results to Postgres, triggers email on lead capture

Railway Postgres

Stores all quiz, segment, lead magnet, and lead records with relational constraints

Cloudflare R2

Stores and serves generated PDF lead magnets for download

Integrations

OpenAI API for quiz question and lead magnet content generation
Transactional email service for lead capture confirmation
Cloudflare R2 for PDF lead magnet storage

Data flow

Creator submits topic → Make calls OpenAI → generated quiz written to Postgres → Lovable renders editor
Creator publishes quiz → status set to published → public URL active
Respondent completes quiz → email captured → lead stored in Postgres → email triggered → R2 download link returned

Failure handling

If OpenAI generation fails, show retry button on TopicInput without partial writes
If R2 upload fails, lead magnet status stays draft and publish is blocked
If email send fails on lead capture, lead is still stored and flagged for retry

Security

Published quiz page is public; editor and dashboard require authenticated creator session
Lead emails stored encrypted at rest in Postgres
R2 download URLs are time-limited signed links

Rate limits

OpenAI calls capped at 1 generation per creator per 30 seconds
Published quiz page accepts max 100 lead submissions per minute to protect downstream email

Deliverables and acceptance

Definition of done for the MVP

Deliverables

Lovable app with topic input, editor, published quiz page, and leads dashboard
Make scenario for LLM generation and email notification
Railway Postgres schema with all five entities and constraints
R2 bucket with signed URL delivery for PDF lead magnets

Acceptance criteria

Entering a topic prompt produces a quiz with at least 5 questions and 3 result segments within 60 seconds
Creator can edit question text and segment descriptions inline and save changes to Postgres
Publishing a quiz produces a shareable URL that renders the quiz and gates result behind email capture
Each result segment has a downloadable PDF lead magnet served from R2 via signed URL
Leads dashboard shows captured emails grouped by segment with a working CSV export

Recommended stack

Enough technology for the first version

Frontend

Lovable

Rapid dark-mode-first UI for the quiz editor, published quiz page, and leads dashboard.

Database

Railway Postgres

Durable storage for quizzes, questions, segments, lead magnets, and leads with relational integrity.

Automation glue

Make

Orchestrates LLM generation webhook and triggers transactional email on lead capture without custom backend code.

LLM

OpenAI API

Generates quiz questions, result segment copy, and lead magnet content from the topic prompt.

Object storage

Cloudflare R2

Stores generated PDF lead magnets for download without egress fees.

Why this is sufficient

Lovable handles the editor and public quiz page UI; Railway Postgres holds the relational quiz-to-lead data; Make bridges the LLM generation call and email notification without a custom backend; OpenAI produces the copy; R2 serves downloadable PDFs.

Not required for the MVP

Custom backend API frameworkSeparate auth provider beyond Lovable's built-inDedicated analytics platformEmail marketing automation suite

Next stepTurn the blueprint into an execution plan

Copy the build prompt, model the operating cost, and choose where to deploy.

Build and ship

Execution

Build, price, and deploy the MVP

Once the blueprint is clear, use the prompt, cost model, and deployment options to start building.

Build prompt

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Open the prompt pack whenever you are ready to take this blueprint into your builder.

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Cost calculator

Model the MVP operating cost

A technical run-cost estimate for the first production version. Team, acquisition, payment fees, and business COGS are excluded.

Estimated monthly total$31-$74

$15-$37 per 750 relationship records

Relationship records updated / month1,500 relationship records

Selected pathEasiest

Pricing checkedAug 2, 2026

Cost breakdown

$31-$74 per month

Low and high values allow for usage variance and plan headroom.

Managed infrastructure

Managed app hosting, database, backups, and basic observability for the crm workflow.

50K relationship records included, then $8-$20 per 100K relationship records

$25-$65

Transactional email

Transactional email is implied by the source workflow or feature list.

3K relationship records included

LLM API (GPT-5.4 mini)

LLM API is implied by the source workflow or feature list.

1.5K relationship records x 2.5K input + 700 output tokens

$5.65-$9.42

Included

Application hosting
Relational database
Basic backups
source assets and publishable variants state
Transactional email
LLM API

Not included

Paid acquisition
Founder or team time
Tax or legal review
Custom enterprise procurement

Pricing basis

The estimate combines the selected infrastructure path, required operating modules, selected optional modules, and usage above included monthly allowances. Taxes and regional uplifts are excluded.

Managed app baseline Resend pricing OpenAI model pricing

Deployment options

Pick the operational tradeoff

Choose based on operating preference, not only the headline price.

EasiestRecommended

Railway

Fast Docker deployment for the app, database, worker, and preview workflow without managing a VPS.

$15-90/month before usage-heavy add-ons

Good fit

Fast setup
Low starting cost
Good preview workflow

Limitation

Usage billing needs active monitoring as traffic and jobs grow.

Open Railway

Cheapest

Vultr

Run the app, worker, and database on one small Vultr VPS with Docker Compose and explicit backups.

$8-60/month before managed add-ons

Good fit

Predictable baseline
Portable setup
Room for workers

Limitation

You own patching, backups, monitoring, and incident response.

Deploy on Vultr View the lean VPS guide

More control

DigitalOcean

Separate application, worker, data, storage, and backup responsibilities as the workload grows.

$10-120/month before managed add-ons

Good fit

Cloud VPS control
Global regions
Room for workers

Limitation

You own server setup, patching, backups, and operational monitoring.

Explore DigitalOcean View the separated cloud guide

Start building

Prototype, automate, then deploy

Recommended route

01Vibe-coding builderBuild quiz editor and public quiz page

Create the topic input screen with generation progress, the inline quiz/segment editor, the published quiz page with email gate, and the leads dashboard in Lovable with dark-mode-first styling and electric blue accents.

Open Lovable 02AutomationOrchestrate LLM generation and email notifications

Set up a Make scenario that receives the topic prompt, calls OpenAI to generate quiz questions and segment copy, writes results to Postgres, and triggers a transactional email when a lead is captured.

Open Make 03DeployDeploy Postgres and store quiz/lead data

Provision a Railway Postgres instance for quizzes, questions, result segments, lead magnet docs, published pages, and leads with proper foreign-key relationships.

Open Railway

MagnetIQ: AI-Powered Lead Magnet Generator & Quiz Optimizer

Is this worth validating?

Build this if

Avoid this if

Validate first

Why this exists

Customer problem

Who pays

Business model

What do you need next?

What would it take to run?

Build the first paid use case

Who it serves and what it must change

What ships now and what waits

Included

Excluded

Screens, actions, and states

Primary flow

Loading, empty, and error states

Entities and business rules

Business rules

Components, integrations, and controls

Integrations

Data flow

Failure handling

Security

Rate limits

Definition of done for the MVP

Deliverables

Acceptance criteria

Enough technology for the first version

Lovable

Railway Postgres

Make

OpenAI API

Cloudflare R2

Why this is sufficient

Not required for the MVP

Build, price, and deploy the MVP

Copy this into a builder

Your build prompt is ready

Model the MVP operating cost

Usage assumptions

$31-$74 per month

Included

Not included

Pricing basis

Pick the operational tradeoff

Railway

Good fit

Limitation

Vultr

Good fit

Limitation

DigitalOcean

Good fit

Limitation

Prototype, automate, then deploy

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