Showcase · Built with BESSER

Real apps, generated from a single model.

Every project here started as a model and was generated with BESSER — storefronts and CRMs, dashboards, AI agents, and research tools. Many shipped raw-generated, then grew from there.

9
applications
4
live demos
8
open-source

From model to shipped app.

Each was generated from a model with BESSER, then shipped or grew from there. Open the source on GitHub where it's public, or try the ones that are live.

E-commerce

DiscoStore

A full web storefront — album browsing, cart and checkout, order tracking, shipping, and customer feedback — generated from a single BESSER model.

Dashboard

Luxembourg AI Factory Dashboard

A collaborative AI-assessment dashboard for the Luxembourg AI Factory Sandbox, extending a generated full-stack scaffold with reusable comments and custom data visualizations.

Source v1 Raw generated v2 Enhanced
LLM benchmark

Luxembourgish Leaderboard

A collaborative dashboard that benchmarks large language models on Luxembourgish proficiency exams across CEFR levels and language skills.

Source v1 Raw generated v2 Enhanced
Open live demo
Education

SkillMatcher

A skill-matching platform that pairs learners with teachers, schedules sessions, and collects reviews — backend and frontend generated with BESSER.

AI agent

Ask Safely

A BESSER Agentic Framework agent that lets you query knowledge graphs safely, guarding against leaking sensitive data to large language models.

Research

Publication Repository

A web app for managing research publications, with BibTeX import, citation retrieval via OpenAlex, and publication analytics.

Events

ConferenceEventPlanner

A conference planner that manages sessions, speakers, rooms, schedules, and dashboard analytics — all from one domain model.

Machine learning

H-Index Predictor

An academic-impact forecaster that predicts a researcher’s H-index five years out, using a neural network trained on Semantic Scholar data.

Built something with BESSER?

Add it to the catalog — fork the repo, drop in your project, and open a pull request. We’d love to feature what you’ve made.