FinAPI-Rare
Used by 1 of 3.440 companies (0.0%)
scaleupVerified
Moneymeets
- Location
- Köln· Nordrhein-Westfalen
- Industry
- FinTech / Personal-Finance-Aggregator / Versicherungs-/Investment-Plattform
- Founded
- 2012
- Employees
- 11-50
- Total funding
- €10.0 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
HBCI-Bank-IntegrationRare
Used by 1 of 3.440 companies (0.0%)
BaFin-RegulatorikRare
Used by 1 of 3.440 companies (0.0%)
AngularRare
Used by 14 of 3.440 companies (0.4%)
JavaRare
Used by 115 of 3.440 companies (3.3%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
In context
Raw numbers say little — here's how Moneymeets compares to its industry and city.
Funding position
Top 51%
More funding than 49% of all companies with reported funding.
Industry median: €10.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Friendsurance3 shared techsBerlinInsurtechJavaTypeScriptReactAngular
- PERBILITY3 shared techsNürnbergSaas / Hr-TechJavaSpringAngularPostgreSQL
- ATOSS Software AG2 shared techsMünchenWorkforce ManagementJavaAngularCloudAI
- Comdirect / Commerzbank Digital2 shared techsFrankfurt am MainFinTech / BankingJavaReactAngularCloud
- Community4you2 shared techsChemnitzsaas / fleet-management / b2bJavaSpringPostgreSQL
- CompuGroup Medical SE2 shared techsKoblenzhealthtech / e-healthJava.NETAngularOracle
Same location
Local tech ecosystem
- DeepL SEKölnAI / NLPPythonPyTorchC++Rust
- 1NCEKölniot / connectivity / global-simGoPythonKubernetesAWS
- Sastrify GmbHKölnsaas / procurementReactNode.jsPythonCloud
- Spot My EnergyKölnEnergy / GreenTech / Strommarkt-OptimierungEnergy-Trading-APIsPythonCloudDynamic Pricing Algorithmen
- kyp.aiKölnai / process-intelligence / workforce-analytics[PythonC#AWSReact
- EternalKölnsustainability/carbonPythonCloudBlockchainCarbon Credits
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