Before you spend another hour configuring n8n nodes, pause for a moment.
We know what it feels like to have the perfect workflow in mind — and then hit the setup wall.
Dragging nodes.
Reading API docs.
Testing connections.
Wondering if you’re doing this the “right way.”
After watching dozens of developers build the same workflows from scratch, we noticed something.
The hard part isn’t knowing what to automate. It’s the manual translation from idea to working n8n workflow.
That’s why we built Autom8n.
✨ From description to deployment in minutes
Tell us what you want to automate.
Get a complete n8n workflow — nodes configured, connections set, ready to deploy.
No more setup hell. No more node-by-node building.
Before you open another API doc or drag another node...
Intro
Today’s ideas share a common thread: they’re built for moments when people can’t afford to hesitate.
Whether it’s a host facing an extortion threat at 2am, a guest who doesn’t know the local emergency number, a Dungeon Master mid-session with players staring expectantly, or someone staring at their DoorDash receipt wondering where all their money went—these are situations where the right information, delivered instantly, changes everything.
We found these problems in Airbnb host forums filled with panicked posts, DM communities debating “is this question too basic to ask,” and countless Reddit threads about the hidden costs of “convenient” food delivery. The pattern is clear: people need decision support at the exact moment they’re least equipped to research. Pick one. Build it in a weekend.
Ship something that helps someone when they need it most.
Want a quick snapshot of this week’s top ideas? Grab our one-page teaser and get all 5 concepts at a glance
Table of Contents
1. Guest Emergency Contact Card
Auto-generate location-specific emergency instruction cards guests can access instantly
Target Customer
Short-term rental hosts who manage multiple properties and worry about guests not knowing what to do during emergencies
The Problem
Desirable Outcome
Every guest has instant access to property-specific emergency instructions without needing to contact the host
Problem Description
Guests panic during emergencies because they don’t know local protocols
Guests don’t know the property address when calling 911 from an unfamiliar location
Emergency services, nearest hospital, and poison control numbers vary by location
Hosts get panicked calls at 3am for emergencies guests could handle with the right information
Printing and updating emergency info sheets for every property is tedious and outdated
Language barriers make emergency communication even harder for international guests
Business Opportunity
Guest Emergency Contact Card
Enter property address → get a scannable QR code that displays emergency contacts, exact address, nearest hospital, utility shutoffs, and host contact in guest’s language
Idea Breakdown
Project Type
Web App
Core Feature
Generate a mobile-optimized emergency info page with QR code that guests scan on arrival, showing location-specific emergency resources and property details
Main User Scenario
Host enters property address and their contact info
System auto-fetches nearest hospital, police, fire department using Google Maps API
Host adds property-specific details (water shutoff location, circuit breaker, gate code)
System generates QR code and printable card
Host prints card and places near entrance
Guest scans QR code on arrival and bookmarks emergency page
During emergency, guest opens bookmarked page to see exact address, local emergency numbers, and property details
Quick Start Steps
Build Core UI with AI
tools: Bolt.new (rapid prototype generation), React 18 + Vite, Tailwind CSS, react-qr-code (QR generation)
skills: Prompt engineering, React component editing
key decisions/validations: Working form that collects address and generates QR code in 3 hours using Bolt.new prompts; Host can input address and see generated QR code that links to emergency page
Add Location Data Enrichment
tools: Google Maps Platform API (Places + Geocoding), Vercel Serverless Functions, SWR (data fetching)
skills: REST API integration, Async data handling
key decisions/validations: Auto-populate nearest hospital and emergency services from address input (free tier: 28,000 requests/month); Entering an address automatically shows nearest hospital and police station within 2 seconds
Deploy Static + Serverless
tools: Vercel (hosting + serverless), No database needed (stateless generation), LocalStorage (for host’s property list)
skills: Environment variables, Vercel deployment
key decisions/validations: Zero-cost hosting with LocalStorage persistence (no backend needed saves 4+ hours vs Pocketbase setup); Host can generate cards for 5 properties, QR codes work offline after first scan; cards_generated >= 20; qr_scans >= 10
3 Reasons to Consider This Idea
Solves the 3am panic call problem — Guests can handle most emergencies themselves when they have the right information immediately accessible
Works offline after first load — Emergency page caches locally so guests can access it even without internet during power outages
Zero ongoing costs — Completely stateless - each QR code links to URL with encoded data, no database needed
Is This Idea For You?
✅ Comfortable with React and API integration ✅ Can set up Google Maps API key (free tier sufficient) ✅ Willing to ship a focused tool without user accounts
Closing Considerations
This isn’t a dispatch service—it’s a prevention tool that reduces unnecessary host contact by empowering guests. Existing solutions like Safely focus on insurance and incident reporting after the fact; this prevents escalation. Natural expansion includes multi-language support, property-specific photos of shutoff locations, and integration with smart locks to auto-send the card link.
Core Promise: Your guests will never call you at 3am asking for the address or nearest hospital again
2. Response Script Generator
Get the exact words to shut down extortion attempts without escalating
Target Customer
Airbnb hosts who are currently being threatened by a guest and don’t know how to respond without making it worse
The Problem
Desirable Outcome
Respond to extortion attempts with legally sound, platform-approved language that documents the threat without giving in or provoking the guest
Problem Description
Dangerous Response Escalation
You know responding emotionally or agreeing to demands hurts your case, but you’re panicking
Generic ‘professional response’ advice doesn’t address the specific threat you received
You waste hours drafting, deleting, and re-drafting responses while the guest waits
One wrong phrase could be used against you in platform arbitration
Business Opportunity
Response Script Generator
Paste the guest’s threatening message → receive 3 pre-written response options (firm boundary, de-escalation, platform escalation) with explanation of why each works
Idea Breakdown
Project Type
Web App
Core Feature
Analyze guest’s threatening message using GPT-4 and generate three contextual response scripts: one that sets firm boundaries, one that attempts de-escalation, and one that escalates to platform support—each with tactical explanation
Main User Scenario
Host pastes guest’s threatening message into text field
Host selects context (guest already checked out, still in property, pre-arrival)
AI analyzes threat type and generates 3 distinct response strategies
Each response includes copy-paste message text plus 2-3 sentence explanation of tactical goal
Host selects best fit, copies response, and sends via Airbnb messaging
Tool shows ‘What to do next’ steps based on chosen response type
Quick Start Steps
AI Response Engine
tools: Cursor (AI pair programming for rapid iteration), SvelteKit (fast, minimal client-side JS), OpenAI GPT-4 API (budget: $8 for 100 response generations), Tailwind CSS + DaisyUI (pre-built form components)
skills: OpenAI API, Prompt engineering with few-shot examples, Form handling
key decisions/validations: Working text input → 3 response scripts output in 5 hours (Cursor accelerates boilerplate); Paste sample extortion message and receive 3 distinct, contextual response options with tactical explanations
Response Template Library
tools: JSON file with 15-20 response templates, GPT-4 for template customization to specific threat, Markdown rendering for formatted output
skills: Template interpolation, Conditional logic
key decisions/validations: Ensure responses feel personalized, not robotic, by blending templates with AI customization; Generated responses reference specific details from the pasted threat (dates, amounts, claims)
Deploy & Validate
tools: Vercel (deployment), Plausible Analytics (privacy-friendly, no cookies), No database (stateless for MVP)
skills: Serverless functions, Analytics integration
key decisions/validations: Public tool with zero monthly cost and privacy compliance (no user data storage initially); 10 hosts generate responses; 7 report feeling ‘more confident’ in follow-up survey; responses_generated >= 10; confidence_rating >= 7
3 Reasons to Consider This Idea
Solves the immediate panic moment — Hosts in crisis need words NOW—this delivers in 10 seconds, not hours of research
Teaches while solving — Each response includes tactical explanation, so hosts learn extortion response strategy
Differentiated from generic ‘host tools’ — Existing host management tools (Hospitable, Guesty) don’t address threat response; this is hyper-specialized
Is This Idea For You?
✅ Comfortable with conversational AI and GPT-4 prompt tuning ✅ Can build a single-page web form with API integration in a weekend ✅ Interested in psychology of de-escalation and conflict resolution ✅ Willing to research Airbnb’s official stance on extortion for response framing
Closing Considerations
This is a decision helper, not legal advice—responses are tactical communication scripts. No existing tool provides instant, threat-specific response language for hosts. GPT-4’s contextual understanding makes this feasible without complex NLP. Natural expansion: save response history, track which response types correlate with positive outcomes.
Core Promise: Get three expert-crafted response options to any extortion threat in 10 seconds, so you never send a message you’ll regret under pressure
3. Campaign Situation Solver
Get instant ruling recommendations for tricky DnD situations at the table
Target Customer
Dungeon Masters who need quick rulings during live sessions but don’t have time to research mid-game
The Problem
Desirable Outcome
Get a quick ruling suggestion in 15 seconds when a player does something unexpected, so you can keep the game moving
Problem Description
Making DnD rulings on-the-fly during sessions
Players do something unexpected and you don’t know the RAW (Rules As Written) answer
Pausing to search Reddit or rulebooks kills table momentum
You make a ruling, then later discover you got it wrong
You want to be consistent with how the community handles similar situations
Business Opportunity
Campaign Situation Solver
Mobile-first decision helper that suggests rulings for common DnD situations based on community consensus, optimized for at-the-table use
Idea Breakdown
Project Type
Web App
Core Feature
Select situation type from categorized list (combat, spellcasting, social, etc.) and get instant ruling suggestion with RAW reference + common homebrew alternatives
Main User Scenario
DM taps ‘Quick Ruling’ during session
Selects category (e.g., ‘Combat Maneuvers’, ‘Spell Interactions’)
Picks specific scenario from common situations list (e.g., ‘Grappling while concentrating’)
Sees 3-line ruling: RAW answer, common homebrew variant, DM tip
Optionally saves decision to maintain consistency in future sessions
Quick Start Steps
Build Ruling Database
tools: Airtable or Google Sheets, Manual curation from r/DMAcademy FAQ
skills: Content curation, Categorization
key decisions/validations: Create structured dataset of 100 common rulings organized by category with RAW + homebrew options; Database covers top 20 DM questions from past 6 months of Reddit posts
Build Mobile-First UI
tools: Lovable (UI generation optimized for mobile), Next.js 14 App Router, Tailwind CSS, Shadcn/ui (mobile-optimized components)
skills: Mobile UX patterns, Progressive Web App basics
key decisions/validations: Mobile-first interface with large touch targets, offline support via PWA, works in 3 taps from home screen; Can find and read a ruling in under 15 seconds on mobile during playtest
Add Session Consistency Tracker
tools: LocalStorage API (no backend needed), IndexedDB (for offline persistence)
skills: Browser storage APIs, Client-side state management
key decisions/validations: Save DM’s past rulings locally so they can stay consistent (choosing no backend saves 6+ hours vs. Supabase setup); DM can revisit their past 10 rulings from previous sessions stored locally
Deploy as PWA
tools: Vercel, PWA configuration (manifest.json, service worker), Workbox (offline caching)
skills: PWA deployment, Service worker basics
key decisions/validations: Installable web app that works offline at the game table with no internet; 5 DMs use it during actual sessions; site works offline after first visit; at_table_usage >= 5; offline_functionality == 1
3 Reasons to Consider This Idea
Solves the time-pressure problem, not the research problem — Existing tools assume you have time to read—this is designed for 15-second lookups during active play
Works offline (critical for basement game rooms) — PWA approach means no internet needed once installed, unlike Reddit or wikis
Natural monetization: session planning tools — Free rulings attract DMs; upsell to session prep features or campaign management later
Is This Idea For You?
✅ Understand DnD well enough to curate quality rulings ✅ Comfortable building mobile-first interfaces ✅ Willing to manually compile initial dataset (no scraping needed) ✅ Can design for speed over comprehensiveness
Closing Considerations
This is NOT a comprehensive rules reference—it’s a quick decision helper for the top 100 situations. MVP uses static content in localStorage; no backend means zero hosting costs and faster build time. Differentiation from D&D Beyond: Beyond is a full rulebook; this is a decision flowchart optimized for speed. Similar tools like 5e.tools are desktop-focused encyclopedias; this is mobile-first for at-table urgency.
Core Promise: Make consistent DnD rulings in 15 seconds without killing table momentum
4. Office Meal Cost Calculator
See exactly how much your current lunch habits cost per year vs. meal delivery subscriptions
Target Customer
HR managers and individual office workers evaluating whether a meal delivery subscription is financially worth it
The Problem
Desirable Outcome
Know definitively whether meal delivery saves or costs you money compared to your current eating pattern
Problem Description
Unclear ROI on Meal Subscriptions
Meal subscriptions feel expensive ($10-15/meal) but you can’t quantify current spending
You oscillate between DoorDash ($18/meal + fees), skipping meals, and gas station snacks
Can’t convince your employer to subsidize meals without concrete cost-benefit data
Guilt about food spending prevents you from investing in healthier options
Business Opportunity
Office Meal Cost Calculator
Input your current meal behavior (takeout frequency, avg costs, skipped meals) and compare annual spending + health impact against structured meal delivery plans
Idea Breakdown
Project Type
Web App
Core Feature
Calculate total annual cost of current eating habits including hidden costs (productivity loss from skipped meals, DoorDash fees) vs. meal subscription ROI
Main User Scenario
User selects their current pattern (e.g., ‘3 DoorDash orders/week, 2 skipped meals, 3 gas station snacks’)
User inputs average costs per category ($18 takeout, $6 snacks, etc.)
User enters hourly rate or salary to calculate productivity loss from energy crashes
System calculates annual cost including fees, tips, lost productivity
System shows 3 meal subscription tiers with breakeven analysis
User sees side-by-side comparison: ‘Current pattern: $4,200/yr + 40 low-energy afternoons’ vs. ‘Meal subscription: $3,600/yr + consistent energy’
Quick Start Steps
Build Calculator UI
tools: v0.dev (component generation), React 18, Tailwind CSS, Recharts (cost breakdown visualization), Lucide icons
skills: Component composition, Form state management
key decisions/validations: Interactive calculator with real-time cost updates as user adjusts inputs; User can drag sliders and see annual cost recalculate instantly
Add Cost Logic & Comparisons
tools: JavaScript calculation functions, Static JSON data (meal subscription pricing from 5 real providers), Local storage (persist user inputs)
skills: Business logic, Data modeling
key decisions/validations: Accurate cost modeling including hidden fees (DoorDash service fees, delivery tips, productivity loss multiplier); Calculator matches real-world scenarios—test with 3 user personas from Reddit thread
Add Affiliate Integration (Optional)
tools: Affiliate links to meal delivery services, UTM parameters for tracking, Simple analytics (Plausible or Vercel Analytics)
skills: Link parameter handling, Event tracking
key decisions/validations: Monetize through referrals when users click ‘Sign up for this plan’; Track click-through rate to affiliate links
Deploy Static Site
tools: Vercel (static hosting), No backend needed (100% client-side), Custom domain (optional)
skills: Static site deployment, SEO basics
key decisions/validations: Public calculator accessible on mobile + desktop with zero hosting cost; 50 users complete calculations; 10 click through to meal delivery affiliate links; completed_calculations >= 50; affiliate_clicks >= 10
3 Reasons to Consider This Idea
Decision helper, not a marketplace — You’re not competing with meal delivery companies—you’re helping users make informed decisions, then monetizing through affiliate referrals
Zero operational complexity — Pure static site, no database, no user accounts, no backend—just a smart calculator that works instantly
Built-in virality for HR teams — HR managers can use this to justify meal benefits to executives; natural B2B expansion path
Is This Idea For You?
✅ You’re comfortable with cost modeling and spreadsheet-style logic ✅ You can ship a polished static site quickly ✅ You’re interested in affiliate marketing or lead generation ✅ You want to validate demand before building a full platform
Closing Considerations
This is a decision-making tool, not a meal service—you’re quantifying a problem that people feel but can’t measure. Existing meal delivery sites show pricing but never compare against current behavior costs. Once you prove people use this calculator, you can build integrations (import DoorDash history via API, Slack bot for team calculations). Could pivot to B2B: white-label this for meal delivery companies to use as a sales tool.
Core Promise: You’ll know your exact annual meal spending in 2 minutes, including the hidden costs you’re ignoring
5. DM Question Complexity Scorer
Rate any D&D question’s difficulty before posting to find the right community
Target Customer
Dungeon Masters unsure if their question is ‘advanced enough’ for experienced DM forums or better suited for beginner spaces
The Problem
Desirable Outcome
Know whether your question belongs in r/DMAcademy (all levels) or a future advanced-only space before posting, avoiding downvotes and ‘this is basic’ comments
Problem Description
Post Misplacement and Community Friction
You write a question but aren’t sure if it’s ‘too basic’ for experienced DMs to care about
Posting in the wrong place leads to ‘use the search bar’ or ‘read the DMG’ dismissive responses
No objective way to gauge if your question requires 3+ years DM experience to answer meaningfully
Experienced DMs self-censor interesting questions fearing they’ll be labeled ‘basic’
Business Opportunity
DM Question Complexity Scorer
Paste your D&D question text, get a complexity score (1-10) with reasoning, plus recommended posting venues
Idea Breakdown
Project Type
Web App
Core Feature
Analyze question text using GPT-4 to score complexity based on rules knowledge depth, situation nuance, and experience required to answer
Main User Scenario
User writes their DM question in a textarea (or pastes from draft)
Clicks ‘Analyze Complexity’
System sends to GPT-4 with custom prompt: score 1-10 based on: basic rules vs edge cases, generic advice vs context-specific, beginner vs veteran DM perspective needed
Returns score with breakdown: ‘This requires understanding of action economy (intermediate) and homebrew balancing (advanced) = 7/10’
Shows recommended communities: ‘7/10 = Post in r/DMAcademy with [Advanced] flair or DM Discord #veteran-questions channel’
User can refine question and re-score
Quick Start Steps
Rapid UI Prototype
tools: Bolt.new (full-stack generation), React 18, Tailwind CSS, Textarea with character counter
skills: Prompt engineering for Bolt, Component tweaking
key decisions/validations: Working form that captures question text and displays mock score in 90 minutes; Can paste question, click button, see score UI appear (hardcoded for now)
Integrate OpenAI API
tools: Vercel AI SDK, OpenAI GPT-4 API (budget: $10 for 200 test queries), Vercel Edge Functions (serverless), No database needed (stateless)
skills: API key management, Prompt engineering, Edge function deployment
key decisions/validations: Send question to GPT-4 with scoring prompt, parse structured response (score + reasoning), display results. Choosing serverless over Pocketbase because no user data persistence needed = saves 3 hours setup time; 10 real D&D questions return scores between 1-10 with coherent explanations
Add Community Recommendations
tools: Static mapping object (score ranges → communities), Markdown rendering for output, Copy-to-clipboard button
skills: Conditional logic, String formatting
key decisions/validations: Map score to specific subreddits/Discord channels with reasoning (e.g., 1-3 = r/DnD beginners, 7-10 = Advanced DM forums); Score of 8 recommends ‘r/DMAcademy with [Advanced] flair’ and ‘DM Discord #theory-crafting’
Deploy & Validate
tools: Vercel (free tier handles 100 req/day easily), PostHog (free tier for basic analytics), Custom domain (optional, $12/year)
skills: Environment variable setup, Basic analytics integration
key decisions/validations: Public URL that works on mobile; track completion rate and score distribution; 20 DMs score their questions; 15 report ‘this helped me decide where to post’; questions_scored >= 20; found_helpful_feedback >= 15
3 Reasons to Consider This Idea
Solves pre-posting anxiety — Removes the guesswork and fear of posting in the wrong place, which currently keeps good questions from being asked
Data goldmine potential — After 1000 scored questions, you have a dataset showing what ‘advanced’ actually means to DMs—can inform future community guidelines or tools
Low operational cost — Stateless design means zero database costs; OpenAI API costs ~$0.02 per score at GPT-4 rates. 100 daily users = $60/month max
Is This Idea For You?
✅ Comfortable with API integration and serverless functions ✅ Willing to refine GPT-4 prompt through 20-30 test iterations ✅ Have OpenAI API access and $10-20 for validation testing ✅ Interested in AI-assisted decision tools over pure automation
Closing Considerations
This is a decision helper, not a content filter—different angle from blocking posts. Existing tools: None directly comparable. r/DMAcademy has post flairs but no pre-posting guidance. AI tools like ChatGPT can answer questions but don’t score complexity. Your differentiation: Purpose-built for D&D community norms with actionable posting guidance. Future expansion: Add ‘similar questions’ search, integrate with Reddit API to auto-suggest flair, or premium tier for personalized DM skill assessment.
Core Promise: You’ll know exactly where your D&D question belongs before posting, eliminating guesswork and community friction in under 30 seconds
That’s it for this week. Pick one idea. Build it this weekend. Ship something that helps someone at the exact moment they need it most.
Now go build!
See ya next week,
— Ale & Manuel
PS... If you’re enjoying ShipWithAI, please consider referring this edition to a friend.
And whenever you are ready, there are 2 ways I can help you:
1. AI Side-Project Clarity Scorecard (Discover what’s blocking you from shipping your first side-project)
2. NoIdea (Pick a ready-to-start idea created from real user problems)