CleanRent

Execute Stack

Technical blueprints and execution plans to accelerate development.

Building Plan — Step-by-Step Execution

Direct and indirect competitors, their positioning, and gaps you can exploit.

Step 1

Prototype the App (No-Code / AI Assisted)

€0–10/month

AI tools generate ~70% of front-end effortlessly. Connect Supabase auth and simple device schema. Build booking form and availability calendar.

Tools:

Lovable, v0.dev, Cursor

APIs:

Supabase (auth, DB), Stripe (payments & deposits)

Step 2

Build the Backend Logic

€25–60/month

Add rental logic, deposits, return deadlines, notifications. ID verification reduces risk and allows deposit-free rentals.

Tools:

Supabase (RLS, cron jobs, storage), Serverless Functions

APIs:

Clerk / Persona for ID verification

Step 3

Real-World Inventory Setup

€0–10/month

No office required. A simple home shelf or garage space is enough. Store, clean, rotate devices.

Tools:

3–5 premium vacuums, Charging station

Step 4

Delivery + Pick-up System

€25–60/month

Start manually (hackable), gradually automate. Add pickup/delivery windows.

Tools:

Manual initially

APIs:

Mapbox for zones, Wolt Drive (optional)

Step 5

Notification & Communication Layer

€25–60/month

Automate reminders, late-return warnings, cleaning tasks.

Tools:

Twilio or Sendbird

APIs:

Supabase Edge cron jobs

Step 6

“Public MVP” Launch Stack

€25–60/month

Launch with waitlist, simple booking, and one or two devices. Validate demand before scale.

Tools:

Typedream / Framer landing page, Figma AI

APIs:

Lemon Squeezy or Stripe

Step 7

Scaling Workflow

€25–60/month

Track device utilization, turnaround, and revenue. Gradually build admin panel if usage grows.

Tools:

Airtable / Notion dashboard

APIs:

Supabase logs + Metabase

Hackable Score — 8

Can be built by a solo indie hacker using AI tools in 3–7 days
Requires minimal backend (Supabase covers 80% of primitives)
Zero office required; home storage or single locker works
Hardware cost is the only non-zero capital need
Operations can be manual in early stages to avoid infrastructure cost

Low complexity — high leverage AI tooling reduces build time drastically.