How can you build so fast and keep prices so low?

My AI superagent does the heavy lifting — scaffolding, boilerplate, data models and first-pass logic — while I direct, review and ship the final product. You pay for a specialist's direction, not weeks of manual labour.

What can you build with Base44?

Marketing sites, full production web and mobile apps, internal tools, configurators, and AI agents. Anything the Base44 platform supports.

How long does a project take?

A marketing site typically ships in days. A full app in one to two weeks. AI agents usually within a week. Timelines depend on scope and your feedback cadence.

Where are you based, and do you work with clients worldwide?

I'm UK-based and work with clients globally, fully remote. All collaboration is async-friendly and handled over email and chat — your location is never a barrier.

How do payments work?

A 50% deposit secures your build slot, with the balance on delivery. Fixed prices mean no surprise invoices.

All builds

Trade / Tooling

RepairIQ

FIG.02

A salvage vehicle bid calculator for trade buyers — repair-cost modelling, auction fee handling, profit estimation and risk scoring before you bid.

// Tech used

Backend Functions
Server-side calculation engine for repair-cost modelling, fee aggregation and profit projection — keeps proprietary logic off the client.
Entities
Vehicle listing records, auction house fee schedules and historical sale data modelled as related JSON schemas.
Integrations
InvokeLLM for parsing listing descriptions into structured damage estimates; SendEmail for bid-alert notifications.
Custom UI
Brutalist dashboard with risk-score gauges, profit breakdowns and side-by-side listing comparisons.

// Outcome

Deployed in 10 days. Trade buyers now evaluate a salvage listing in under 2 minutes with a clear profit estimate and risk score, cutting bad-bid losses significantly.

// Modules

RISK SCORINGPROFIT CALCTRADE TOOL

// Build challenges

01
Modelling repair costs from limited auction listing data — photos, category codes and vehicle details — into a reliable estimate before bid time.
02
Handling complex auction fee structures (buyer's premium, gate fees, transport) that vary by auction house and vehicle category.
03
Producing a risk score that combines repair uncertainty, market resale value and fee exposure into a single go/no-go signal for the buyer.

// Case study

Trade buyers were pricing salvage vehicles from instinct. Repair costs were estimated by eye, auction fees were buried in PDFs that varied by house and vehicle category, and two similar listings could be worth very different money after the real costs landed. A single bad bid could take the margin off a good lot.

RepairIQ turns each listing into a modelled deal. Listing text is parsed into structured damage estimates, repair costs are built up line by line, and buyer's premium, gate fees and transport are aggregated server-side against stored fee schedules and historical sale data. The buyer gets one profit figure and one risk score that combines repair uncertainty, resale value and fee exposure — plus side-by-side comparison of listings and bid alerts by email.

Ten days to deliver. A salvage listing now goes from raw auction data to a go/no-go decision in under two minutes, with the fee exposure visible before bidding, and buyers report a clear fall in loss-making bids.

Read the full case study

// Start a build

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Trade / Tooling from £699. Fixed price, ships in 1–2 weeks.

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