
Lovable Experts in Berlin
, matched in minutes from over 15,000 CVs with the power of AIHire experts who turn product ideas into working web applications, connect Lovable projects to Supabase and APIs, and refine production-ready interfaces with React and Tailwind CSS. FRATCH matches you quickly with vetted, available freelancers whose skills fit your project.
Meet FRATCH Experts in Berlin, who have recently used Lovable
Vaios K.
Last position:
Product Manager & Strategic Advisor at Freelance, Lovable, Dreamarium
- Advise early-stage startups on product vision, roadmapping, and GTM strategy, combining PMP and Stanford PM training with hands-on technical execution.
- Lovable: built and led a 200+ member community program for AI-native founders, bridging real-time founder feedback into product roadmap decisions.
- Lead customer discovery and OKR design engagements, scoping AI integration opportunities across client products.
Myrto P.
Last position:
UX Lead, Strategist for Property Management Systems at Destination Solutions
- Leading UX for a Property Management System, an all-in-one solution for vacation rental agencies and tourism regions, covering marketing and rental of holiday apartments and houses
- UX audits, conception, and implementation of UX strategy with a focus on regulatory, security, and user-centered requirements
- Advising C-level stakeholders on UX strategy and design best practices
- Planning and conducting research with agencies and property owners
- Design system strategy and definition of UX architecture
Avigail E.
Last position:
Legal Department Intern at GCH Hotel Group
- Reviewed contracts and legal documents, identified risks, and translated complex questions into clear recommendations for non-lawyers.
- Managed debt collection and supported in-house legal advice as well as court appointments.
Majid M.
Last position:
Senior Technical Product Manager - Platform & Automation at U.S. Legal Tech Platform
- Owned product delivery for document automation and workflow platform used across multiple legal jurisdictions
- Led integration across 6+ systems using API-based data exchange and structured data mapping
- Partnered with engineering on data models, document generation workflows, and system orchestration
- Evaluated LLM-assisted document automation opportunities to reduce manual drafting
- Built functional prototypes to validate workflow and product concepts
- ~2x increase in case processing throughput
- Enabled multi-state rollout of platform capabilities
- Reduced manual document generation and operational bottlenecks by 80%
Aleksandra M.
Last position:
Senior Product Designer at Boldare SA
AI • Enterprise SaaS • Product Strategy • Product Discovery
Led product design for enterprise SaaS, AI-powered and customer-facing products.
- Defined product strategy from discovery to delivery
- Designed complex workflows, design systems and scalable UX
- Led UX research, product discovery and stakeholder workshops
Erik W.
Last position:
AI Workflow and Process Automation at Self-employed
- Process analysis and target concept: interviews with responsible stakeholders and users, system and handover model, bottleneck analysis and acceptance criteria.
- Clearly defined automation modules, built with AI support using Python/FastAPI, TypeScript/Next.js, SQL/PostgreSQL, Supabase, REST APIs and Webhooks; specification, acceptance criteria and acceptance testing handled by me.
- Document and decision workflows from intake, research and extraction through to decision documents, CRM updates or controlled system actions.
- Quality assurance and handover with test cases, logging, exception paths, operational documentation and knowledge transfer.
Jonathan S.
Last position:
AI-Powered Product & Business Development at Self-Employed
- Developed websites, CRMs, and micro-SaaS using Lovable, Claude Code/ VS Studio (Vercel, Next.js, React, Supabase)
- Developed an analytics service to unlock automation gains
Niharika G.
Last position:
Staff Product Lead - Pricing & Insight at University of Illinois Urbana-Champaign
Ludvig G.
Last position:
Founder at Insightl.ai Lernplattform
- Attempted founding of a platform for career development and personal coaching
- Top 3 placement in the Berlin-Brandenburg business plan competition
- Conducted independent market analysis and user research
- Built a comprehensive knowledge graph for roles, skills, and experiences
- Data transformation and setting up data pipelines on Azure
Janina P.
Last position:
AI and Automation at A-Leecon GmbH
- Introduction to AI and Automation
- The Automation Project
- Make.com Foundations
- Automation Basics: Data Management
- Document Workflows, Troubleshoot, and Automate Reports
- Digression: Data as the Foundation of AI Systems
- Implementing AI Solutions in Practice
- Digression: Large Language Models (LLMs)
Zdenka D.
Last position:
Founder and AI Automation Strategist, UX/Product Designer at Pflege mit KI
- Designed AI-powered workflows that transform complex tasks into intuitive, scalable solutions
- Combined UX strategy, technical implementation, and systems thinking to simplify processes and empower users
- Conducted user research and usability testing to develop a practical, accessible AI guide for family caregivers
- Performed data and competitive analysis to inform content and feature development
- Created wireframes, mockups, interactive prototypes, MVP, design systems, and styleguides
- Executed UX and accessibility audits to reduce manual effort and streamline processes
- Scaled content production across multiple formats through UX writing and automation
- Managed projects and design operations, mentoring team members
- Technologies and methods: ChatGPT, Claude, OpenAI API, Make, n8n, ElevenLabs, HeyGen, TTS, HITL design, prompt engineering, Figma, Flutterflow, Miro, Notion, design thinking, workflow mapping, business process mapping
Fikret A.
Last position:
Senior Product Manager at Enocta
- Executing the roadmap for LMS/LXP platform with 550+ enterprise clients and 4+ million users
- Led the 0-to-1 development of a conversational AI role-play product with the AI team
- Led GTM for the AI Roleplay, creating a new ARR stream, acquiring 15+ enterprise customers in Q1
- Led the development & GTM of a conversational AI Mentor product
- Serving on the strategic leadership team, contributing to long-term product and business strategy
Negin M.
Last position:
Product Manager at Thieme
- Led a full platform redesign, including UX/UI, architecture, and content systems, consolidating a previously fragmented system where users were redirected across multiple sites into a single cohesive platform.
- Improved user engagement and content access efficiency, achieving 90%+ positive feedback in usability testing and increasing accessibility compliance from ~50–60% to ~85% (WCAG).
- Delivered MVP and incremental feature releases, reducing time-to-value by ~25%.
- Centralized content through a unified CMS, reducing manual updates by ~40%, saving ~80 hours/month for editorial teams.
- Conducted user research, usability testing, and analytics review to validate redesign improvements, driving early feature adoption among test users (~15–20%).
- Established Agile/Scrum workflows, enabling predictable sprint planning and improved cross-functional delivery, setting a baseline for future velocity.
Amogha S.
Last position:
Senior Product Manager - OS, platform, IAM at Aleph Alpha GmbH
- Leading the product lifecycle for sovereign AI platform and operating system teams for enterprise & government clients and internal stakeholders (infra, solution delivery, support, revenue)
- Built and scaled the platform from a 200-user beta to a full rollout of 70K+ members at the Bundesagentur für Arbeit (BA), secured with ISO 42001 and EU AI Act compliance
- Architected the shift to a multi-tenant shared inference, increasing GPU cluster utilization from 20% to 85% and reducing infrastructure cost-to-serve by 40% for SaaS clients
- Shipped model quantization, allowing clients to run advanced LLMs on legacy hardware (A100s GPUs) instead of the H100s, saving upwards of 70% cost per enquiry
- Abstracted complex Helm configurations into a dynamic model manager, reducing the time to install or swap models by ~80%
- Killed an expensive move to build own dashboard service, pivoting to an API-first data strategy that clients can consume directly and saving €100Ks in opex and capex
- Built a safety-first agent marketplace and control plane lighthouse project for a Tier-1 bank, allowing internal teams to deploy autonomous agents within strict regulatory guardrails
Ann-Katrin B.
Last position:
Digital Product Lead at Impacc
- B2B Platform & Team Building: building a digital platform and an international remote development team
- KPI System & Digitalization Impact: introducing data-driven metrics and responsible for automated real-time reporting
- Product & Process Workshops: enabling portfolio companies in digital product development and performance reporting
Discover over 15,000 top freelancers
Statistics of experts using Lovable
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 13 years)

Position duration
1.9 years (Germany: 3.2 years)

Positions per freelancer
8

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Education

Certification focus areas
Product Development, Information Technology, Project Management
Bachelor's degree or higher
94% (Germany: 98%)
Master's degree or higher
76% (Germany: 62%)

Certifications per freelancer
3

Most common languages
English, German, French

Speak two or more languages
95% (Germany: 94%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin using Lovable
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Lovable experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (95%)
- Banking and Finance (53%)
- Education (47%)
- Professional Services (47%)
- Retail (47%)
- Automotive (32%)
- Tourism (32%)
- Advertising (26%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Lovable is
Lovable is an AI-powered software creation platform that turns natural-language instructions into working web applications. It generates interfaces, application logic and data connections, allowing teams to move from an idea to an interactive prototype without starting every component manually. Lovable is also known as Lovable.dev; its earlier product identity was GPT Engineer.
What teams build
Lovable is suited to internal tools, customer portals, marketplaces, dashboards and early-stage product prototypes. It can create a usable foundation quickly, then support iterative changes through conversational prompts and direct code work.
- Validate a product concept with a functional interface
- Create CRUD applications connected to Supabase
- Prototype workflows, forms and role-based views
- Prepare a web application for further engineering
Ecosystem and tooling
Strong Lovable work usually combines the platform with React, TypeScript, Tailwind CSS and Vite. Supabase is commonly used for authentication, PostgreSQL data and storage, while REST and GraphQL APIs connect external services. GitHub integration, environment configuration and deployment workflows matter when a prototype moves toward production.
When to bring in expertise
Companies bring in freelance specialists when a generated application needs reliable structure, secure data handling or a clear route to launch. Expertise is especially useful when prompts alone no longer resolve complex state, permissions, integrations or performance issues. In Berlin, local product teams may also value on-site workshops alongside remote delivery.
- Review generated code and remove fragile patterns
- Model database schemas, access policies and user roles
- Connect payments, CRM systems or business APIs
- Prepare testing, deployment and handover documentation
Skills that distinguish specialists
A strong professional understands both rapid AI-assisted creation and conventional software quality. They can translate a vague product brief into clear data models, reusable components and maintainable flows. They also test generated output, protect secrets, handle validation and explain technical trade-offs to non-technical stakeholders.
Choosing the right fit
Assess a specialist through a focused review of a Lovable project, not only through screenshots. Ask how they would handle authentication, database policies, API failures, accessibility and future changes. A good match can work independently, communicate clearly in English and, where needed, collaborate with German-speaking teams in Berlin while leaving behind a system others can maintain.
Frequently asked questions
Everything clients usually want to know about Lovable, in one place.
Lovable is used to create web applications from natural-language product descriptions. Companies use it for prototypes, internal tools, dashboards, customer portals and early product versions, often with Supabase for authentication and data.
Lovable shortens the path from an idea to a working interface by generating application code from prompts. Traditional development gives teams more direct control from the beginning, so a Lovable specialist is valuable when generated code needs stronger architecture, security, testing or long-term maintainability.
Lovable is closer to code-generating product development than to a purely visual builder. Bubble focuses on no-code application configuration, while Webflow is primarily aimed at visual websites; Lovable projects can offer more direct access to React and TypeScript code.
A strong Lovable professional often works with React, TypeScript, Tailwind CSS, Supabase, PostgreSQL and GitHub. API integration, authentication, accessibility, testing and deployment skills are equally important when an application must move beyond a demo.
A simple prototype may need focused support, while a customer-facing application requires deeper product and software expertise. An experienced Lovable specialist should be able to assess scope, identify platform limits and decide which parts need manual implementation or review.
Yes. Lovable work is well suited to remote collaboration through shared repositories, prompt histories, issue tracking and regular reviews. Berlin companies should agree on working hours, documentation standards and whether workshops or stakeholder sessions need to happen on site.
Ask for a clear explanation of how the specialist handles generated code, database permissions, secrets, testing and deployment. A capable Lovable freelancer can show a structured handover and explain why specific implementation choices are safe and maintainable.
Lovable can provide a strong starting point for a production application, but generated output still needs review and refinement. The specialist should verify security rules, error handling, accessibility, performance, monitoring and deployment before real users depend on the system.
The average hourly rate of freelancers in Berlin, Germany who have used Lovable in their recent projects is 90 €, which corresponds to a daily rate of about 718 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Lovable in their recent projects, 94% hold at least a Bachelor's degree and 76% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Lovable in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Berlin, Germany who have used Lovable in their recent projects are English (100%), German (89%), and French (32%).
The most common industries among freelancers in Berlin, Germany who have used Lovable in their recent projects are Information Technology (95%), Banking and Finance (53%), and Education (47%).
The most common business areas among freelancers in Berlin, Germany who have used Lovable in their recent projects are Information Technology (95%), Product Development (89%), and Project Management (74%).
Main locations of FRATCH Experts, who have recently used Lovable
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Request a free demo
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Munich