WebRTC]Rare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Streamlingo
- Location
- Karlsruhe· Baden-Württemberg
- Industry
- saas / ai (Live-Übersetzung Kirchen/Gottesdienste 55+ Sprachen)
- Founded
- 2023
- Employees
- 1-10
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
WhisperRare
Used by 3 of 3.440 companies (0.1%)
gRPCRare
Used by 6 of 3.440 companies (0.2%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
In context
Comparison data missing for this company — we'll add it on the next research run.
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- UniteLabs3 shared techsMünchenbiotech / saas (Research Operating System für Life Sciences)[PythonTypeScriptReactgRPC
- Alpha Sophia2 shared techsKölnhealthtech / data-platform / medical-intelligence[PythonTypeScriptReactPostgreSQL
- Autonomo Technologies2 shared techsHamburgai / saas / autonomous-agents[PythonTypeScriptLangChainLangGraph
- Briink2 shared techsBerlinsaas / esg / ai-for-sustainability[PythonNode.jsReactLLM-APIs
- Buynomics2 shared techsKölnsaas / ai / pricing / rgm[PythonAWSReactTypeScript]
- Circus Group2 shared techsHamburgai / robotics / food-service-automation[PythonROS 2C++TypeScript
Same location
Local tech ecosystem
- ILOS ProjectsKarlsruheRenewable Energy / Solar Project DevelopmentGISPythonPlant-Engineering-ToolsEnergy-Yield-Modelling
- Chrono24Karlsruhee-commerce / marketplace / luxury-watches[Java (Spring)KotlinTypeScriptReact
- DealfrontKarlsruhesaas / sales-intelligence / gtm / b2b-marketing[TypeScriptReactNode.jsPython
- DaedalusKarlsruhedeeptech / industrial-ai / precision-manufacturing[PythonPyTorchTensorFlowCAD
- Kipu QuantumKarlsruhedeeptech / quantum computing[PythonQiskitNumPyC++
- WorkwiseKarlsruhehr-tech / recruiting-platform / saas[Ruby on RailsPostgreSQLElasticSearchReact
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