Hiring profile

AI-native builder with CTO-level impact

I am Lenny Daume. My profile connects Cognitive Informatics, AI fluency, product sense, hands-on engineering, and operational delivery. That matters in contexts where product, technology, team, and operations have to work together: from 0→1 platforms to remotely scaling 100+ developers.

Software craft is not late-career positioning for me. The origin is concrete: early childhood exposure through a first-generation Chaos Computer Club member who later became something close to a mentor around the C64, BASIC, text adventures, and early PCs. Then came computer science at Laborschule, first websites and a webshop in 1998/1999, and Java at Westfalenkolleg. That is why I still think about product, code, and operations as one system.

What this page is for

If you are assessing me for a role or collaboration, this page should quickly show where I become productive early, which patterns I bring, and which contexts are a strong fit.

Proof

CTO-level impact under scaling pressure

Shaped technical direction, team structure, and delivery systems for a scaling organization, including remotely scaling 100+ developers without adding another coordination layer.

Proof

AI foundation, not tool hype

Cognitive Informatics, machine learning, multi-agent systems, robotics, agent skills, and LLM workflows as a reliable working foundation.

Proof

Hands-on through operations

Product, architecture, code, monorepos, queue orchestration, observability, IaC, and operational platform work stay connected in one profile.

Proof

Context density, not job hopping

Repeated exposure to 0→1, rebuild, and scaling contexts. Useful when new environments need to be understood and made productive quickly.

Technical origin

First the working stance, then the professional proof.

This section intentionally does not retell the job history. It shows why I learned early to understand, build, and operate systems myself. The professional proof follows in the career context, timeline, and skills sections.

Early CCC influence

Technology entered my life as something you understand and build yourself, not as something you passively consume. That was shaped by a first-generation Chaos Computer Club member who later became something close to a mentor for computers, systems, and programming.

1992: BASIC and text adventures on a C64

With C64 BASIC, text adventures, and early PCs, early fascination turned into practical software work. That is where the thread of logic, system understanding, and building things myself begins.

Early 90s: Laborschule, DOS, Windows 3.11

Because of the university connection, computer science was available unusually early. That is where DOS, Windows 3.11, and the first more systematic programming exercises came in.

1998/1999 to 2002: web, webshop, Java

By the late 90s I was already building websites and running a webshop. In 2002, Java at Westfalenkolleg added a more formal software foundation. The builder thread has stayed intact ever since.

Hiring context

Many contexts, one clear line

If you are reviewing my CV, you will see several intense product and engineering contexts. The pattern is not title movement. It is system exposure: 0→1 work, rebuilds, scaling, advisory, and hands-on delivery.

For full-time hiring, that matters because I do not just fill a role. I can quickly understand how product logic, technical reality, team structure, and operations interact. That reduces ramp-up and increases the chance of durable impact over years.

For fractional or transformation work, the same range matters because unclear systems rarely have a single-point problem. I bring patterns that have worked in real teams without forcing every new context into an old template.

Experience

Experience that proves range

The timeline is not meant as a prestige list. It is proof of AI grounding, delivery maturity, leadership effectiveness, and hands-on range.

since 07/2025

Chief Technology Officer (Hands-on)

Livable Places GmbH

Full-time

Hands-on CTO work in an AI-native proptech startup: monorepo with Nuxt, Hono, Bun, BullMQ flows, and Redis locking, bare-metal platform with IaC and observability, plus product and architecture steering for geo/census services and an office-risk product line.

09/2023 - 06/2025

Chief Technology Officer

WPS MANAGEMENT GMBH // wescale

Full-time

As CTO, sharpened team structure, delivery systems, and technical direction for a scaling organization, including remotely scaling 100+ developers without adding another coordination layer.

06/2023 - 12/2023

Freelance Fullstack Developer & Consultant

LGE Energy Berlin GmbH // Zenstrom

Freelance

Combined consulting and implementation for a tailored website and portal solution instead of splitting concept and build into separate worlds.

Responsibility arc

QYRAGY GmbH

Full-time responsibility, new phase, and follow-up support in one context.

2 cases 07/2020 - 11/2023 Full-time Freelance

Cases in this context

05/2023 - 11/2023 Fractional CTO Advisory for Smartjobr 07/2020 - 04/2023 CTO & Chief Product Owner for AI Matching Platform

Responsibility arc

Mondosano GmbH

Full-time responsibility, new phase, and follow-up support in one context.

2 cases 01/2018 - 11/2020 Full-time Freelance

Cases in this context

07/2020 - 11/2020 Freelance Engineering Support at Mondosano 01/2018 - 06/2020 Hands-on CTO for Health SaaS

09/2016 - 01/2018

Big data under real load

SISTRIX GmbH

Full-time

Handled even larger data volumes than before, with a focus on pipelines, scaling, and what it takes to keep systems calm under real load.

04/2016 - 08/2016

Java Team Lead & Project Manager

USU AG | Business Solutions

Full-time

Modernization inside an existing system with team and project responsibility. A real-world test of how technical change becomes viable inside established organizations.

Responsibility arc

SEOlytics GmbH

Multiple phases in one context: expanded role, shifted responsibility, sustained impact.

3 cases 09/2013 - 03/2016 Full-time

Cases in this context

05/2015 - 03/2016 Head of Development at SEOlytics 11/2014 - 05/2015 Scrum Master & Backend Delivery at SEOlytics 11/2013 - 10/2014 SEO Backend Development with Big Data

05/2013 - 10/2013

Java EE development for a real estate portal

Immonet GmbH // Axel Springer AG

Full-time

Product and engineering work in a larger portal context with Java EE, agile development, and Scrum. Useful precisely because of the contrast to later startup and transformation work.

Responsibility arc

dtms GmbH

One system context with multiple responsibility areas instead of isolated CV lines.

8 cases 03/2012 - 04/2013 Full-time

Cases in this context

02/2012 - 04/2013 Enterprise Java MDM Component 12/2012 iOS Backend Reengineering 07/2012 - 11/2012 Mobile Device Management System 06/2012 SMS-Email Integration System 06/2012 SMS Processing Cluster Architecture 05/2012 SMS Processing Reengineering with 17x Throughput 04/2012 RESTful iOS Backend Development 03/2012 Enterprise Java Configuration UI

10/2010 - 02/2012

Learning infrastructure the hard way

Computacenter

Freelance

As a freelancer, I helped plan, build, and operate Telefonica Germany's data center. That was where it became obvious that software without operational reality is only half the job.

2009

Early iPhone product work

Self-employed

Published a multi-touch game in the early App Store era. An early sign that I tend to work with new platforms instead of just watching them.

2008

First enterprise project

Synaxon AG

Co-developed a portal for correcting product descriptions in a university partnership. This was where learning turned into real team, product, and system work.

2008

Agile engineering starts to make sense

A master's course on process models showed me early that delivery is not a side effect of good engineering. It is a system you can design.

2002

Java on the second educational path

At Westfalenkolleg, I learned Java and moved my software foundation onto a much more systematic footing.

1998 - 1999

First websites and a webshop of my own

Self-employed

By the late 90s, I was already building websites and running a webshop. Not as a school exercise, but as an early sign that product, technology, and operations only make sense to me as one system.

1992

BASIC, text adventures, first programs of my own

On a C64, I wrote my first BASIC programs and text adventures. That early path was supported by a first-generation Chaos Computer Club member who became something close to a mentor for computers, systems, and programming.

Full-time since 07/2025
Chief Technology Officer (Hands-on) (Livable Places GmbH)
Hands-on CTO work in an AI-native proptech startup: monorepo with Nuxt, Hono, Bun, BullMQ flows, and Redis locking, bare-metal platform with IaC and observability, plus product and architecture steering for geo/census services and an office-risk product line.
Full-time 09/2023 - 06/2025
Chief Technology Officer (WPS MANAGEMENT GMBH // wescale)
As CTO, sharpened team structure, delivery systems, and technical direction for a scaling organization, including remotely scaling 100+ developers without adding another coordination layer.
Freelance 06/2023 - 12/2023
Freelance Fullstack Developer & Consultant (LGE Energy Berlin GmbH // Zenstrom)
Combined consulting and implementation for a tailored website and portal solution instead of splitting concept and build into separate worlds.
Responsibility arc
QYRAGY GmbH
Full-time responsibility, new phase, and follow-up support in one context.
2 cases 07/2020 - 11/2023 Full-time Freelance
Cases in this context
05/2023 - 11/2023 Fractional CTO Advisory for Smartjobr Freelance 07/2020 - 04/2023 CTO & Chief Product Owner for AI Matching Platform Full-time
Responsibility arc
Mondosano GmbH
Full-time responsibility, new phase, and follow-up support in one context.
2 cases 01/2018 - 11/2020 Full-time Freelance
Cases in this context
07/2020 - 11/2020 Freelance Engineering Support at Mondosano Freelance 01/2018 - 06/2020 Hands-on CTO for Health SaaS Full-time
Full-time 09/2016 - 01/2018
Big data under real load (SISTRIX GmbH)
Handled even larger data volumes than before, with a focus on pipelines, scaling, and what it takes to keep systems calm under real load.
Full-time 04/2016 - 08/2016
Java Team Lead & Project Manager (USU AG | Business Solutions)
Modernization inside an existing system with team and project responsibility. A real-world test of how technical change becomes viable inside established organizations.
Responsibility arc
SEOlytics GmbH
Multiple phases in one context: expanded role, shifted responsibility, sustained impact.
3 cases 09/2013 - 03/2016 Full-time
Cases in this context
05/2015 - 03/2016 Head of Development at SEOlytics Full-time 11/2014 - 05/2015 Scrum Master & Backend Delivery at SEOlytics Full-time 11/2013 - 10/2014 SEO Backend Development with Big Data Full-time
Full-time 05/2013 - 10/2013
Java EE development for a real estate portal (Immonet GmbH // Axel Springer AG)
Product and engineering work in a larger portal context with Java EE, agile development, and Scrum. Useful precisely because of the contrast to later startup and transformation work.
Responsibility arc
dtms GmbH
One system context with multiple responsibility areas instead of isolated CV lines.
8 cases 03/2012 - 04/2013 Full-time
Cases in this context
02/2012 - 04/2013 Enterprise Java MDM Component Full-time 12/2012 iOS Backend Reengineering Full-time 07/2012 - 11/2012 Mobile Device Management System Full-time 06/2012 SMS-Email Integration System Full-time
4 more cases in the project overview
Freelance 10/2010 - 02/2012
Learning infrastructure the hard way (Computacenter)
As a freelancer, I helped plan, build, and operate Telefonica Germany's data center. That was where it became obvious that software without operational reality is only half the job.
Self-employed 2009
Early iPhone product work
Published a multi-touch game in the early App Store era. An early sign that I tend to work with new platforms instead of just watching them.
2008
First enterprise project (Synaxon AG)
Co-developed a portal for correcting product descriptions in a university partnership. This was where learning turned into real team, product, and system work.
2008
Agile engineering starts to make sense
A master's course on process models showed me early that delivery is not a side effect of good engineering. It is a system you can design.
2002
Java on the second educational path
At Westfalenkolleg, I learned Java and moved my software foundation onto a much more systematic footing.
Self-employed 1998 - 1999
First websites and a webshop of my own
By the late 90s, I was already building websites and running a webshop. Not as a school exercise, but as an early sign that product, technology, and operations only make sense to me as one system.
1992
BASIC, text adventures, first programs of my own
On a C64, I wrote my first BASIC programs and text adventures. That early path was supported by a first-generation Chaos Computer Club member who became something close to a mentor for computers, systems, and programming.

Interactive route

Optional to play, without breaking the reading flow.

The route is an optional format for people who want to explore the career path interactively. The hiring signal still stays readable in the timeline, context, and skills sections without requiring interaction.

A small game instead of a static timeline.

Career Circuit

Collect each career checkpoint in sequence. The route only begins once you launch the run.

WASD / arrow keys or drag inside the stage

Mission

Start the run through every stop.

Collect each career checkpoint in sequence. The route only begins once you launch the run.

19 checkpointsWASD / arrow keys or drag inside the stage

AI foundation

AI-native systems craft, not just tool usage.

University of Bielefeld · Cognitive Informatics

This was never just a theory track for me. Cognitive Informatics, machine learning, multi-agent systems, and robotics still form the foundation for AI-native systems work.

Today that becomes a clear working context: LLM workflows, agent skills, plugin development, multi-agent research, and ML methods like PCA, LAS, k-Means, Random Forest, and NLP are mapped to delivery, product logic, and decision quality.

Core lens

Thinking about cognition, learning, perception, decision logic, and technical systems together.

Practical relevance

Helps treat AI not as tool hype, but as a systems question with boundaries, context, and accountability.

Maturity before tool depth

AI, product, team, and delivery as one system

The technical deep dive follows after this. First comes the view of proven responsibility across product, engineering, leadership, and operations.

Proven responsibility

Product, team, and operations at a glance.

The signal is not years of code, but responsibility for product logic, technical direction, teams, delivery, operations, and the consequences of real decisions.

AI-native systems craft

AI treated as a system capability: cognitive foundations, agent workflows, ML methods, and accountable delivery instead of tool hype.

6.9y context years 4 contexts

Cognitive science, ML, robotics
Agent skills, plugins, LLM workflows
PCA, LAS, k-Means, Random Forest, NLP

Product maturity

Product logic, prioritization, feedback loops, and 0→1 work treated together with architecture and delivery.

13.8y context years 10 contexts

CTO & Chief Product Owner
Product model through operations
PMF, impact, and learning loops

Leadership maturity

Leadership as system work: direction, ownership, team building, coaching, and decisions that make teams stronger.

15.5y context years 10 contexts

15 teams / 100+ developers
Hiring and team building
Coaching, review culture, ownership

Delivery and operational maturity

Delivery, quality, and operations as part of architecture: CI/CD, observability, SRE, and you-build-it-you-run-it.

18.4y context years 13 contexts

CI/CD, IaC, and quality gates
SRE, observability, operations
Legacy, rebuilds, platform work

Ways of working and engineering culture

Real delivery instead of framework signaling

Agile is not treated as a role, event, or cycle corset here. Practices are mapped to team ownership, short feedback loops, technical quality, and reliable product flow.

Ownership and flow

Teams get clear direction, visible work, small batches, and ownership for outcomes instead of ticket throughput.

Agile Coaching
Agile Development
Kanban
Lean Development
Delivery ownership
Scrum
Team Collaboration

Quality and operations

Delivery maturity means built-in quality, agile testing, CI/CD, reviews, and SRE are part of the system, not downstream control.

CI/CD
Code Review
Documentation
Agile testing
SRE
Test-Driven Development

Product learning and systems thinking

Strategic direction, learning iterations, and ownership create delivery, product evolution, and innovation, not rigid plan fulfillment.

Technical deep dive

Core technical competencies

The deep dive shows more than a toolbox. It shows the system areas that matter now: AI/LLM, backend and data services, cloud scale, SQL/NoSQL, messaging, CI/CD pipelines, frontend, and quality. The signal is the combination of current practice and long-running production responsibility.

Decision signals

Current in practice, rarely combined, durable over time

Relevant in 2026

Active, market-relevant technologies for modern product and platform work.

Platform Operations & Observability
13.9y in 9 contexts
Active
NoSQL / Search / Graph
11.5y in 8 contexts
Active
SQL / Relational Databases
16.2y in 12 contexts
Active
JavaScript
16.2y in 12 contexts
Active
Messaging & Event Streaming
7.5y in 5 contexts
Active
Cloud Scaling & Microservices
11.3y in 8 contexts
Active
Java
12.2y in 10 contexts
Active
CI/CD Pipelines
15.3y in 9 contexts
Active

Rare depth

Niche production experience that differentiates quickly in hiring contexts.

Platform Operations & Observability
13.9y in 9 contexts
Active
NoSQL / Search / Graph
11.5y in 8 contexts
Active
Messaging & Event Streaming
7.5y in 5 contexts
Active
ArangoDB
8.3y in 5 contexts
Active
Scala
6.8y in 3 contexts
Play Framework
6.8y in 3 contexts

Durable foundations

Languages and platforms that also receive framework-derived experience.

SQL / Relational Databases
16.2y in 12 contexts
Active
JavaScript
16.2y in 12 contexts
Active
Cloud Scaling & Microservices
11.3y in 8 contexts
Active
Java
12.2y in 10 contexts
Active
CI/CD Pipelines
15.3y in 9 contexts
Active
TypeScript
9.8y in 6 contexts
Active
Node.js
9.3y in 5 contexts
Active
Python
6.7y in 4 contexts
Active

Market-relevant core

AI-native services, cloud scale, data, and delivery systems

Backend & Data Services

Languages, frameworks, APIs, microservices, and data-adjacent services carry scalable product logic.

TypeScript Java Microservices Spring Boot

JavaScript

Durable foundations Relevant in 2026

Active now proven

Overall years: 16.2y
Contexts: 12

Java

Durable foundations Relevant in 2026

Active now proven

Overall years: 12.2y
Contexts: 10

TypeScript

Durable foundations Relevant in 2026

Active now proven

Overall years: 9.8y
Contexts: 6

Node.js

Durable foundations Relevant in 2026

Active now proven

Overall years: 9.3y
Contexts: 5

Python

Durable foundations Relevant in 2026

Active now proven

Overall years: 6.7y
Contexts: 4

Cloud & Platform Engineering

Cloud scale, microservices, platform operations, and observability show up as a system capability, not as a Docker-only proof point.

Cloud Scaling & Microservices Platform Operations IaC Observability

Platform Operations & Observability

Rare depth Relevant in 2026

Active now proven

Overall years: 13.9y
Contexts: 9

Cloud Scaling & Microservices

Durable foundations Relevant in 2026

Active now proven

Overall years: 11.3y
Contexts: 8

Prometheus

Relevant in 2026

Active now solid

Overall years: 2.8y
Contexts: 2

CI/CD & Delivery Pipelines

Jenkins, GitHub Actions, GitLab CI, and Woodpecker are bundled as delivery capability, not isolated tool fragments.

CI/CD Pipelines Jenkins GitHub Actions GitLab CI

CI/CD Pipelines

Durable foundations Relevant in 2026

Active now proven

Overall years: 15.3y
Contexts: 9

Databases & Storage

Persistence breadth across SQL, relational databases, NoSQL, search, graph, cache, and storage instead of isolated database logos.

SQL / Relational Databases NoSQL / Search / Graph PostGIS ArangoDB

NoSQL / Search / Graph

Rare depth Relevant in 2026

Active now proven

Overall years: 11.5y
Contexts: 8

SQL / Relational Databases

Durable foundations Relevant in 2026

Active now proven

Overall years: 16.2y
Contexts: 12

Messaging & Event Streaming

Queues, pub/sub, and event flows show durable asynchronous systems work.

BullMQ Redis Pub/Sub AWS SQS JMS

Messaging & Event Streaming

Rare depth Relevant in 2026

Active now proven

Overall years: 7.5y
Contexts: 5

Proven breadth

Additional technologies by system area

AI/LLM/ML

Natural Language Processing (NLP) k-Means Agent Skills Claude Code Claude Plugins

Natural Language Processing (NLP)
Active
6.8y in 3 contexts
k-Means
Active
4.4y in 2 contexts
Agent Skills
Active
1.0y in 1 context
Claude Code
Active
1.0y in 1 context
Claude Plugins
Active
1.0y in 1 context
Codex
Active
1.0y in 1 context
Cursor
Active
1.0y in 1 context
Feature Ablation
Active
1.0y in 1 context
LLM Workflows
Active
1.0y in 1 context
Location Absorption Score
Active
1.0y in 1 context
Machine Learning
Active
1.0y in 1 context
MCP
Active
1.0y in 1 context
Plugin Development
Active
1.0y in 1 context
Random Forest
Active
1.0y in 1 context
Target Residualization
Active
1.0y in 1 context

Backend & Data Services

Backend & Data Services Play Framework Scala Spring Boot Ios

131

Backend & Data Services
Active
8.2y in 4 contexts
Play Framework
6.8y in 3 contexts
Scala
6.8y in 3 contexts
Spring Boot
Active
5.8y in 3 contexts
Ios
5.2y in 4 contexts
jOOQ
4.3y in 2 contexts
Akka
3.8y in 2 contexts
Groovy
3.8y in 2 contexts
Android Sdk
3.4y in 1 context
Firebase
3.4y in 1 context
Akka Streams
2.9y in 1 context
Avi/mp4 Conversion
2.9y in 1 context
Email Integration
2.9y in 1 context
Error Handling
2.9y in 1 context
Mandrill
2.9y in 1 context
Neos Cms
2.9y in 1 context
Newsletter
2.9y in 1 context
Salesforce Integration
2.9y in 1 context
Update Systems
2.9y in 1 context
Video Processing
2.9y in 1 context
FastAPI
Active
2.8y in 2 contexts
Backend Development
2.4y in 1 context
Google Apis (adwords
2.4y in 1 context
Google Search Console
2.4y in 1 context
Microservices
2.4y in 1 context
REST APIs
2.4y in 1 context
Search Analytics
2.4y in 1 context
Spring Cloud
1.8y in 1 context
Spring Data
1.8y in 1 context
Objective-c
1.8y in 3 contexts
Hibernate
1.8y in 2 contexts
Jpa
1.8y in 2 contexts
Ackee
Active
1.6y in 2 contexts
Enterprise Java Development
1.6y in 2 contexts
Big Data Processing
1.4y in 1 context
Data Extraction
1.4y in 1 context
Hadoop
1.4y in 1 context
Nutch
1.4y in 1 context
RxJava
1.4y in 1 context
SAXON-HE
1.4y in 1 context
Search Result Parsing
1.4y in 1 context
Serp Feature Extraction
1.4y in 1 context
Serp Parser
1.4y in 1 context
Spark
1.4y in 1 context
Tika
1.4y in 1 context
Xpath
1.4y in 1 context
Apache Wicket
1.3y in 1 context
Apple Push Notifications
1.3y in 1 context
Binary Plist
1.3y in 1 context
Concurrent Processing
1.3y in 1 context
Enterprise Ios Development
1.3y in 1 context
Google Guice
1.3y in 1 context
Ios Integration
1.3y in 1 context
Jersey Jax-rs
1.3y in 1 context
Mobile Data Exchange
1.3y in 1 context
RESTful API Development
1.3y in 1 context
Servlets
1.3y in 1 context
Xcode
1.3y in 1 context
Boto3
Active
1.0y in 1 context
Bun
Active
1.0y in 1 context
Census Data
Active
1.0y in 1 context
Conversion Analytics
Active
1.0y in 1 context
Data Engineering
Active
1.0y in 1 context
Geojson
Active
1.0y in 1 context
H3
Active
1.0y in 1 context
Hono
Active
1.0y in 1 context
Jgrapht
Active
1.0y in 1 context
Jts
Active
1.0y in 1 context
Kotlin
Active
1.0y in 1 context
Maplibre
Active
1.0y in 1 context
Maptiler
Active
1.0y in 1 context
Metabase
Active
1.0y in 1 context
OpenAPI
Active
1.0y in 1 context
Openapi Generator
Active
1.0y in 1 context
Openpyxl
Active
1.0y in 1 context
Osm
Active
1.0y in 1 context
Pca
Active
1.0y in 1 context
Proj4j
Active
1.0y in 1 context
Pyproj
Active
1.0y in 1 context
Python-docx
Active
1.0y in 1 context
Riwis Api
Active
1.0y in 1 context
Scikit-learn
Active
1.0y in 1 context
Shapely
Active
1.0y in 1 context
Turf.js
Active
1.0y in 1 context
Utm Tracking
Active
1.0y in 1 context
Valhalla
Active
1.0y in 1 context
Zod
Active
1.0y in 1 context
Argon2
0.6y in 1 context
Axios
0.6y in 1 context
Lumenaza Api
0.6y in 1 context
Mjml
0.6y in 1 context
Nodemailer
0.6y in 1 context
Application Servers
0.5y in 1 context
EJB
0.5y in 1 context
Struts
0.5y in 1 context
Api Integration
0.4y in 1 context
Backend Services
0.4y in 1 context
Content Management
0.4y in 1 context
Google App Engine
0.4y in 1 context
In-app Purchase
0.4y in 1 context
Liferay
0.4y in 1 context
Mobile App Development
0.4y in 1 context
Push Notifications
0.4y in 1 context
Receipt Validation
0.4y in 1 context
Storekit
0.4y in 1 context
Transaction Flow Design
0.4y in 1 context
User Engagement
0.4y in 1 context
Data Quality Management
0.3y in 1 context
Development Environment
0.3y in 1 context
Jee
0.3y in 1 context
Jsf
0.3y in 1 context
8-bit Computing Platform
0.1y in 1 context
App Store
0.1y in 1 context
Assembly Language
0.1y in 1 context
Auth0
0.1y in 1 context
Authentication
0.1y in 1 context
Basic Programming Language
0.1y in 1 context
Commodore 64
0.1y in 1 context
Data Management
0.1y in 1 context
Distribution
0.1y in 1 context
Game Center
0.1y in 1 context
Game Framework
0.1y in 1 context
Game State Persistence
0.1y in 1 context
Mobile Application Publishing
0.1y in 1 context
Multi-touch
0.1y in 1 context
Multilingual Ui
0.1y in 1 context
Native Mobile Development
0.1y in 1 context
Online Highscore
0.1y in 1 context
Touch Collision Detection
0.1y in 1 context
Touch Interaction
0.1y in 1 context
User Management
0.1y in 1 context

Databases & Storage

Database Systems AWS S3 MySQL ArangoDB PostgreSQL

Database Systems
Active
16.2y in 12 contexts
AWS S3
Active
10.3y in 5 contexts
MySQL
8.5y in 5 contexts
ArangoDB
Active
8.3y in 5 contexts
PostgreSQL
Active
6.8y in 4 contexts
MongoDB
Active
5.3y in 4 contexts
AWS RDS
4.1y in 3 contexts
Big Data Storage
2.4y in 1 context
Cassandra
2.4y in 1 context
Neo4j
2.4y in 1 context
Elasticsearch
1.8y in 1 context
SQLite
Active
1.4y in 2 contexts
Data Storage
1.4y in 1 context
In-Memory BigData
1.3y in 1 context
In-Memory Data Grid
1.3y in 1 context
NoSQL
1.3y in 1 context
asyncpg
Active
1.0y in 1 context
better-sqlite3
Active
1.0y in 1 context
Flyway
Active
1.0y in 1 context
osm2pgsql
Active
1.0y in 1 context
PostGIS
Active
1.0y in 1 context
Redis
Active
1.0y in 1 context
Supabase
Active
1.0y in 1 context
Database Design
0.9y in 3 contexts
MariaDB
0.6y in 1 context
Data Persistence
0.5y in 1 context
PL/SQL
0.5y in 1 context
SQL
0.3y in 1 context

Messaging & Event Streaming

AWS SQS JMS High-Performance SMS Processing Message Filtering Message Processing

AWS SQS
3.4y in 1 context
JMS
2.4y in 1 context
High-Performance SMS Processing
1.3y in 1 context
Message Filtering
1.3y in 1 context
Message Processing
1.3y in 1 context
BullMQ
Active
1.0y in 1 context
Event-Driven Architecture
Active
1.0y in 1 context
Redis Pub/Sub
Active
1.0y in 1 context
AWS SNS
0.7y in 2 contexts

Cloud & Platform Engineering

Docker Monitoring AWS Lambda AWS CloudFront Logging

Docker
Active
10.0y in 6 contexts
Monitoring
6.9y in 3 contexts
AWS Lambda
3.5y in 2 contexts
AWS CloudFront
3.4y in 1 context
Logging
2.9y in 1 context
Ansible
Active
2.8y in 2 contexts
Grafana
Active
2.8y in 2 contexts
AWS EC2
2.4y in 1 context
AWS Glacier
2.4y in 1 context
Cloud Computing
2.4y in 1 context
Cloud Infrastructure
2.4y in 1 context
Svn
2.4y in 1 context
Azure
1.8y in 1 context
GCP
1.8y in 1 context
Kubernetes
1.8y in 1 context
Terraform
1.8y in 1 context
Tomcat
1.8y in 2 contexts
Traefik
Active
1.6y in 2 contexts
24/7 Support
1.4y in 1 context
Apache Mesos
1.4y in 1 context
Business-critical Issue Resolution
1.4y in 1 context
Container Orchestration
1.4y in 1 context
Data Center Infrastructure
1.4y in 1 context
Enterprise Operations
1.4y in 1 context
Fault Diagnosis
1.4y in 1 context
Infrastructure Optimization
1.4y in 1 context
Marathon
1.4y in 1 context
Network Architecture
1.4y in 1 context
PaaS Architecture
1.4y in 1 context
Real-time Monitoring
1.4y in 1 context
Server Hardware
1.4y in 1 context
Sla Management
1.4y in 1 context
Status Dashboard
1.4y in 1 context
Status Tracking
1.4y in 1 context
Cluster Architecture
1.3y in 1 context
Glassfish Server
1.3y in 1 context
Load Balancing
1.3y in 1 context
Performance Monitoring
1.3y in 1 context
Performance Optimization
1.3y in 1 context
Alertmanager
Active
1.0y in 1 context
Alloy
Active
1.0y in 1 context
Authentik
Active
1.0y in 1 context
Authentik Blueprints
Active
1.0y in 1 context
Docker Secrets
Active
1.0y in 1 context
Docker Swarm
Active
1.0y in 1 context
GitOps
Active
1.0y in 1 context
Hetzner
Active
1.0y in 1 context
Infrastructure as Code
Active
1.0y in 1 context
Loki
Active
1.0y in 1 context
Micrometer
Active
1.0y in 1 context
OpenTelemetry
Active
1.0y in 1 context
Platform Engineering
Active
1.0y in 1 context
Restic
Active
1.0y in 1 context
Sentry
Active
1.0y in 1 context
Tempo
Active
1.0y in 1 context
Wireguard
Active
1.0y in 1 context
Rational Unified Process
0.8y in 1 context
Service-oriented Architecture
0.8y in 1 context
V-Model XT Tailoring
0.8y in 1 context
Bugsnag
0.6y in 1 context
Jboss
0.5y in 1 context
Web Deployment
0.5y in 1 context
Containerization
0.4y in 1 context
DevOps
0.4y in 1 context
Offline-first Design
0.4y in 1 context
Plugin Architecture
0.4y in 1 context
Portal Development
0.4y in 1 context
Product Architecture
0.4y in 1 context
Real-time Communication
0.4y in 1 context
Apache Tomcat
0.3y in 1 context
Architecture Design
0.1y in 1 context
AWS API Gateway
0.1y in 1 context
AWS CloudWatch
0.1y in 1 context
AWS SAM
0.1y in 1 context
Flexible Data Structures
0.1y in 1 context
Scalability Planning
0.1y in 1 context

CI/CD & Delivery Pipelines

Jenkins Nexus Drone CI CircleCI Quay.io

Jenkins
5.5y in 3 contexts
Nexus
3.7y in 2 contexts
Drone CI
3.4y in 1 context
CircleCI
2.9y in 1 context
Quay.io
2.4y in 1 context
GitLab CI
1.8y in 1 context
SonarQube
1.8y in 1 context
Maven
1.3y in 1 context
GitHub Actions
Active
1.0y in 1 context
Woodpecker CI
0.6y in 1 context

Frontend

React Vue.js Css Html Next.js

React
Active
8.0y in 5 contexts
Vue.js
Active
5.8y in 3 contexts
Css
4.5y in 3 contexts
Html
4.5y in 3 contexts
Next.js
Active
4.4y in 2 contexts
Pwa
4.0y in 2 contexts
Json/xml
2.4y in 1 context
Web Technologies
1.6y in 2 contexts
Xml
1.6y in 2 contexts
HTML Parsing
1.4y in 1 context
Ajax
1.3y in 1 context
User Interface Development
1.3y in 1 context
Tailwind Css
Active
1.1y in 2 contexts
Nuxt
Active
1.0y in 1 context
Pdf.js
Active
1.0y in 1 context
Reka Ui
Active
1.0y in 1 context
Shadcn-nuxt
Active
1.0y in 1 context
Swr
Active
1.0y in 1 context
Tailwind CSS
Active
1.0y in 1 context
Astro
0.6y in 1 context
Auth Astro
0.6y in 1 context
Echarts
0.6y in 1 context
Progressive Web Apps
0.6y in 1 context
Svelte
0.6y in 1 context
Workbox
0.6y in 1 context
Web Services
0.4y in 1 context
Xml View Definitions
0.4y in 1 context
Cocos2d
0.1y in 1 context
Graphics And Animation
0.1y in 1 context
Json
0.1y in 1 context
User Interface Design
0.1y in 1 context

Agile Testing/Quality

Mockito Cypress Vitest Playwright Selenium

Mockito
4.3y in 3 contexts
Cypress
3.5y in 2 contexts
Vitest
Active
1.6y in 2 contexts
Playwright
Active
1.0y in 1 context
Selenium
0.5y in 1 context

Tooling

Jira Confluence Slack Git N8n

Jira
Active
13.8y in 8 contexts
Confluence
Active
12.0y in 6 contexts
Slack
Active
9.8y in 5 contexts
Git
6.8y in 3 contexts
N8n
Active
5.0y in 3 contexts
Testng
3.7y in 2 contexts
Zapier
3.4y in 1 context
Junit
2.9y in 2 contexts
Browser Check
2.9y in 1 context
Excel
2.4y in 1 context
Spock
2.4y in 1 context
Webmastertools)
2.4y in 1 context
Microsoft Teams
1.8y in 1 context
Eclipse
1.6y in 2 contexts
Cucumber
1.4y in 1 context
Checkstyle
1.3y in 1 context
Findbugs
1.3y in 1 context
Openoffice
1.3y in 1 context
Pmd
1.3y in 1 context
Twiki
1.3y in 1 context
Pnpm
Active
1.0y in 1 context
Testcontainers
Active
1.0y in 1 context
Turborepo
Active
1.0y in 1 context
Vite
Active
1.0y in 1 context
Wiki
0.8y in 2 contexts
Hubspot
0.6y in 1 context
Integration Tools
0.6y in 1 context
Latex
0.4y in 1 context
Wekan
0.4y in 1 context
Trac
0.3y in 1 context

Check fit

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