IoT-APIsRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Entyre
- Location
- Köln· Nordrhein-Westfalen
- Industry
- mobility/cleantech
- Founded
- 2023
- Employees
- 11–50
- Total funding
- €5.2 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
DjangoRare
Used by 8 of 3.440 companies (0.2%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Entyre compares to its industry and city.
Funding position
Top 62%
More funding than 38% of all companies with reported funding.
Industry median: €5.2 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Bryter5 shared techsBerlinsaas/no-code/legaltechTypeScriptReactNode.jsPython
- Certivity5 shared techsMünchenregtechPythonFastAPILLMs (OpenAIAnthropic)
- finmid5 shared techsBerlinFinTech / Embedded Finance / B2B LendingTypeScriptReactNode.jsPython
- Kiko Climate5 shared techsBerlinclimatetechPythonFastAPITypeScriptReact
- Leapsome5 shared techsBerlinsaas / hrtechReactTypeScriptPythonAI
- Luminovo5 shared techsMünchenVertical SaaS / Electronics / Supply-Chain AI / EMS-SoftwarePythonTypeScriptReactPyTorch
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