Built with Lovable

Building with Lovable

Production platforms, internal systems and MVPs built with Lovable for companies, founders, institutions and research teams.

I use Lovable to design and ship software that runs in production: multi-tenant platforms, role-based dashboards, institutional sites with content management, and research systems connected to real data. Some of the projects below are live and in regular use; others were built as prototypes for workshops, hackathons or demos. Each one is labeled so the difference is clear.

How I use Lovable

Four areas where it fits into my work.

Production platforms

Multi-tenant systems with authentication, roles, dashboards and a real database.

Founders and leadership teams

Turning a defined strategy into working software that can be tested with real users.

Institutions and research

Bilingual platforms, internal tools and data systems for health, education and the public sector.

Training and enablement

Helping technical and non-technical teams build and ship with AI-native tools.

Selected projects

Each project is labeled by stage: in production, active MVP or prototype.

11 projects

YAIS Build

In production

Live and in regular use by an organization or team.

HackathonsAI MentorsMulti-tenant PlatformCommunity

The largest platform I have built with Lovable. It is a multi-tenant hackathon management platform with AI mentors, participant dashboards, admin dashboards, judges, deliverables, presentation management, feedback and certificate generation. It has already been tested in real hackathons with YAIS Lab and UTEPSA.

SheBuilds on Lovable Santa Cruz + Pata Segura

Prototype

Built for a demo, workshop or hackathon; not in active use.

CommunityWomen in TechLive DemoPet Adoption

Projects created for the SheBuilds on Lovable event I organized in Santa Cruz, Bolivia for International Women's Day. I built the event landing page and also built Pata Segura live as a demo pet adoption platform.

YAIS Lab

In production

Live and in regular use by an organization or team.

AI ResearchOrganizationBilingual PlatformCMS

The institutional platform for YAIS Lab, an AI research and education organization in Bolivia. Built with Lovable as a dynamic bilingual website with internal management tools for content, research updates, projects, blogs, papers and datasets.

BuzzBusters

Prototype

Built for a demo, workshop or hackathon; not in active use.

Public HealthResearchAISupabase

A public health research platform focused on Aedes aegypti mosquito prevention and epidemic risk. Built with Lovable as a bilingual project platform with internal panels for researchers and administrators, connected to external data infrastructure.

YAIS Video Dubbing

In production

Live and in regular use by an organization or team.

EducationChrome ExtensionAccessibilityAI

A production project connected to a published Chrome extension that helps Spanish-speaking learners access educational video content originally created in English. With Lovable I built the landing page, authentication flow, admin panel and management experience; the dubbing pipeline, testing, security and observability were developed with Claude Code.

Rumbo.bo / Aventuria

Prototype

Built for a demo, workshop or hackathon; not in active use.

TourismLive WorkshopBoliviaAI Agents

A tourism platform demo built live during a public Lovable workshop for the tourism sector in Bolivia. It shows how tourism businesses can build a landing page and MVP quickly, and how AI agents can help with customer support.

Pulso Venezuela

Prototype

Built for a demo, workshop or hackathon; not in active use.

Crisis ResponseHumanitarian TechVoiceAI Agents

A humanitarian response prototype created for a hackathon. It allows people to request help through text, voice notes, location sharing and images, while operators can review and prioritize cases through a dashboard.

YAIS Agents Workspace

In production

Live and in regular use by an organization or team.

AI AgentsRaspberry PiEdge AIResearch

An experimental dashboard for monitoring and controlling local AI agents running on a Raspberry Pi 4. Built with Lovable to visualize agents, tasks, memory, pipelines, configuration and system activity.

Maestro

Active MVP

Working MVP, still being refined before a wider rollout.

Startup MVPMarketplaceLocal Services

A startup MVP for connecting people with trusted local professionals such as electricians, plumbers and carpenters. Built with Lovable to validate the idea with a landing page, user flows and dashboards for clients and service providers.

PetStay

Prototype

Built for a demo, workshop or hackathon; not in active use.

Live Demo20-Minute MVPPet CareHackathon

A rapid mobile MVP prototype created during a hackathon workshop. I used it to show participants how to go from mobile wireframes to a working prototype in around 20 minutes with Lovable.

Mauricio Nuñez Personal Website

In production

Live and in regular use by an organization or team.

Personal BrandPortfolioEducation Hub

My personal website built with Lovable as the foundation for my professional brand, portfolio, future Lovable education hub, courses, workshops, tutorials and community resources.

Who I work with

My work spans founders, executives, product leads, research teams, institutions and companies of different sizes, as well as students, hackathon participants and teams without a technical background. The scope of each project changes, but the approach does not: clear architecture, real data and a version that can be put in front of users.

Context: building from Bolivia

  • I work from Santa Cruz, Bolivia, with clients and partners across Latin America.
  • I lead and grow YAIS Lab.
  • I collaborate with companies, universities, institutions and innovation spaces.
  • I have delivered production platforms, client systems, hackathons, workshops and startup validation with Lovable.
  • My focus is expanding what teams in the region can build and ship.

Why this approach matters

Delivery speed is only useful when the result holds up over time. Working this way shortens the distance between a decision and a product in front of real users, without setting aside architecture, security or the ability to scale.