I build
Your business applications, your internal tools, your automations, with Lovable.
Lovable expert L5 Diamond

Ecommerce strategy & AI · Lovable expert level L5 Diamond · Cybersecurity NSE 3

Custom tools that solve your problems and increase your profitability. Built with verified agentic engineering, without depending on costly software that doesn't fit your business.
Working remotely across France, Belgium, Switzerland, Luxembourg, Quebec, North Africa and West Africa, in French, English and Arabic.
02 What I do
Sales tracking stuck in spreadsheets. Scattered marketplace operations. Reports rebuilt by hand before every meeting.
The need is rarely well defined at the start. That is exactly where I am useful.

Build and secure
Your business applications, your internal tools, your automations, with Lovable.
Lovable expert L5 Diamond
Because I built them, I know their weak points from the inside: access, roles, endpoints.
I test what an automatic scanner does not see, and I prioritize the fixes.
Certified Fortinet NSE 3
03 Security
An access flaw knows no borders. Broken Access Control has been the number 1 vulnerability in the OWASP ranking since 2021, and the weak point of no-code applications.
OWASP A01:2025 · Broken Access Control · world's number 1 flaw
Free · no sign up
Your report in 30 seconds: what a browser, a search engine and an attacker see without logging in.
On assignment · expert certified NSE 3
An expert genuinely tries to get in: cross account access, role bypass, endpoints. What an automatic scanner does not see.
OWASP method · Mozilla Observatory scoring · Expert certified Fortinet NSE 3
04 Built and used
Before building them for others, I build them for my own operations.
Per hour of creation
Packaging · volumetric penalty
6.1% of parcels penalized€3.28 extra cost2 parcels just above a threshold: €1.13 of potential gainTop departments
Real project · Cosmos Wave agency, Amazon Verified Partner
Problem
Generate shipping labels with a carrier accessible only via API.
The solution provided
Every label generated surfaces useful data: packaging, destinations, service areas and the team's working hours.
Lovable · Supabase
Read the case study
Real project · Cosmos Wave agency, Amazon Verified Partner
Problem
Decide quickly and accurately on a claim with photos: refund honest customers, filter out fraud attempts, and understand why the product arrived damaged.
The solution provided
Authenticates claim photos through forensic analysis, qualifies each customer statement, calculates a fraud score, drafts a reply that reveals nothing to fraudsters, and recommends packaging fixes.
Lovable · Supabase · Vision AI
Read the case studyReal project · Cosmos Wave agency, Amazon Verified Partner
Problem
Produce high-quality product visuals at volume for marketplaces, without graphic production becoming a growth bottleneck.
The solution provided
A graphic production studio built for scale: batch visual generation and product staging, automatic quality control, per-market adaptation and keyword analysis.
Lovable · Supabase
Read the case study3 products with negative margin
98 at risk
363 to improve · margin ≥ 15%
82 quick wins · within €0.50 of target
Real project · Cosmos Wave agency, Amazon Verified Partner
Problem
Know whether each marketplace sale actually makes money, once commissions, VAT and shipping costs are deducted.
The solution provided
Simulates net margin before setting a price, identifies the most profitable batches, flags products below the profitability threshold, and prepares shipping documents.
Lovable · Supabase · Edge Functions
Read the case study
Real project · Internal tool
Problem
Decide quickly, in store, whether a product is worth reselling.
The solution provided
Scans a barcode and returns a GO or NO-GO resale verdict based on Amazon data.
PWA · Lovable · Supabase
05 Examples
Each example shows the starting problem, the current workflow and the tool that replaces it.

01 · Sales
Opportunities, follow-ups and decisions are scattered across spreadsheets, inboxes and individual notes.
Before
Salespeople manually update their rows. The manager consolidates the data before each review and rebuilds the pipeline.
After
A single space to track accounts, contacts, opportunities, next actions and pipeline views based on the team's actual process.

02 · Customer service
Exchanges, files and approvals get lost between emails and tools with no shared view.
Before
The client asks for a status by email. The team searches for the information, resends documents and maintains several parallel trackers.
After
A secure portal to check progress, submit items, centralize documents and guide next actions.

03 · Marketing
Metrics are scattered, defined differently, and assembled by hand before each review.
Before
Each channel produces its own export. One person reconciles the data, fixes the formats, then rebuilds the expected views.
After
A dashboard centered on decisions: defined metrics, useful filters, annotations and views adapted to different roles.

04 · Construction
The owner finds out whether a site made or lost money a month after it ends. Hours come in on paper on Fridays, photos stay on phones, materials bought urgently aren't linked to anything, and extra work requested on site is never billed.
Before
Hours logged from memory, scattered photos, unassigned emergency purchases, quotes priced by guesswork.
After
A very simple mobile app for tradespeople, with all the intelligence on the office side.

05 · Construction
Technicians fill out paper reports, the office re-enters them at the end of the week, parts used are forgotten and invoices go out late. Without a client signature, some interventions are disputed.
Before
Paper reports, office re-entry, undeclared parts, untraceable equipment history.
After
A mobile service report designed to prepare invoicing and enrich equipment history.

06 · Construction
Every project depends on a file: missing documents, rejected paperwork, blocked payments. The team spends its time chasing clients and agencies.
Before
Documents received by email as they come in, tracked in a spreadsheet, manual follow-ups, rejection causes not analyzed.
After
A space where every document has a status, every file has a checklist, and every follow-up has a clear trigger.
06 Calculator
Three numbers are enough to estimate the annual cost of a manual task.
Estimated annual cost
Hourly cost not entered.
Estimated annual cost: to be calculated
07 Method

Step 01
Understand the workflow, the users and the friction.
Step 02
Choose the right scope, data and rules.
Step 03
Build a testable tool around the real work.
Step 04
Deploy, observe usage and evolve with method.
08 What I build
01
02
03
04
05
06
Do not start from a prompt. Start from the problem.
09 Offers
Learn
Master Lovable through real use cases.
For: consultants, freelancers, teams
Explore training →Build
Turn a business idea into a working product.
For: executives, business teams
Explore the Build Sprint →Scale
Structure, prioritize and deploy the right projects.
For: companies deploying Lovable at scale
Explore consulting →
10 Karim Mesloub
Before Lovable, there is the business. I run marketing and e-commerce for brands sold on marketplaces: it is this experience in the field that lets me scope a tool before building it.
11 Questions
No. A well-described problem, the current workflow and the people involved make a better starting point.
No. The choice depends on the data, the integrations, criticality, the expected security level and the degree of customization.
Yes, after reviewing the product, its architecture and its level of technical debt. The first goal is to understand before changing anything.
12 Contact
Every good tool starts with a well defined problem. Let's start there.
Working remotely across France, Belgium, Switzerland, Luxembourg, Quebec, North Africa and West Africa, in French, English and Arabic.