WebRTCRare
Used by 8 of 3.440 companies (0.2%)
scaleupVerified
ubiMaster
- Location
- München· Bayern
- Industry
- edtech / tutoring-SaaS
- Founded
- 2017
- Employees
- 51-200
- Total funding
- €7.0 Mio
Tech-Stack
Tech stack in context
Each entry is benchmarked against all 3.440 companies in the dataset. Rare items first — those are the more interesting choices.
RareUncommonCommonMainstream
AWS]Rare
Used by 33 of 3.440 companies (1.0%)
[TypeScriptRare
Used by 40 of 3.440 companies (1.2%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
Node.jsUncommon
Used by 346 of 3.440 companies (10.1%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
In context
Raw numbers say little — here's how ubiMaster compares to its industry and city.
Funding position
Top 58%
More funding than 42% of all companies with reported funding.
Industry median: €7.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- cargonerds5 shared techsHamburglogistics-SaaS / freight-digitalization[TypeScriptReactNode.jsPostgreSQL
- Reonic5 shared techsAugsburgcleantech / saas / solar-planning[TypeScriptNode.jsReactPostgreSQL
- Valoon5 shared techsDortmundconstruction-tech / project-management-SaaS[TypeScriptNode.jsReactPostgreSQL
- Airfocus4 shared techsHamburgSaaS / Product Management / Enterprise[TypeScriptReactNode.jsPostgreSQL
- atmo GmbH4 shared techsBerlinclimatetech / carbon-finance / agri-finance / saas[TypeScriptReactNode.jsPostgreSQL
- Become.1 GmbH4 shared techsHeidelberghr-tech / saas / talent-development[TypeScriptNext.jsNode.jsPostgreSQL
Same location
Local tech ecosystem
- Celonis SEMünchenProcess MiningPythonReactKubernetesJava
- FlixBus / Flix SEMünchenMobility TechJavaPythonReactAWS
- LiliumMünchenaviation / eVTOL / cleantechC++PythonROSMatlab/Simulink
- IONITYMünchencleantechGoKotlinKubernetesOCPP
- Personio SEMünchenHR TechTypeScriptReactJavaKubernetes
- Scalable CapitalMünchenFinTech / WealthTechJavaKotlinReactAWS
Consulting on this stack
Working with a similar stack?
We help companies like this build data-driven platforms — from AI research to production deploy.
Reuse & citation
How to cite this dataset
TechPuls is published under CC BY 4.0 — free to use, including commercially, as long as the source is credited. Here is a ready-made line for that.
Citation
Techlogia (2026). TechPuls Germany — Dataset of the German tech landscape. 3,440 companies in 245 cities. Licensed under CC BY 4.0. Available at https://techlogia.de/en/techpuls
BibTeX
@misc{techpuls,
author = {Techlogia},
title = {TechPuls Germany — Dataset of the German tech landscape},
year = {2026},
howpublished = {Online-Datensatz},
note = {CC BY 4.0},
url = {https://techlogia.de/en/techpuls}
}- Data as of
- Machine-readable access
- The same data is available as JSON via the open API — no key, no registration: /api/techpuls/cities
- Licence terms:
- CC BY 4.0