Mobile (iOSRare
Used by 24 of 3.440 companies (0.7%)
scaleupVerified
Flip
- Location
- Stuttgart· Baden-Württemberg
- Industry
- hrtech / employee-experience / saas
- Founded
- 2018
- Employees
- 51-200
- Total funding
- €96.0 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
Android)Rare
Used by 39 of 3.440 companies (1.1%)
AWSUncommon
Used by 252 of 3.440 companies (7.3%)
Node.jsUncommon
Used by 346 of 3.440 companies (10.1%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
ReactCommon
Used by 724 of 3.440 companies (21.0%)
In context
Raw numbers say little — here's how Flip compares to its industry and city.
Funding position
Top 13%
More funding than 87% of all companies with reported funding.
Industry median: €96.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Vamo5 shared techsKölncleantech / heat-pumps / b2cTypeScriptNode.jsIoTMobile (iOS
- Zava5 shared techsBerlinHealthTech / Telemedizin / Digital HealthTypeScriptReactNode.jsPython
- AMBOSS4 shared techsBerlinHealthtech / Saas / AiTypeScriptReactNode.jsPython
- Appinio4 shared techsHamburgMarket Research / SaaS / Data AnalyticsTypeScriptReactPythonML
- Baobab Insurance4 shared techsBerlinInsurTech / CybersecurityTypeScriptReactNode.jsAWS
- Bryter4 shared techsBerlinsaas/no-code/legaltechTypeScriptReactNode.jsPython
Same location
Local tech ecosystem
- Neura RoboticsStuttgartRobotics / AiC++PythonROSEmbedded
- Bosch Business InnovationsStuttgartdeeptechIoTCarbon CaptureMedical Remote MonitoringManufacturing Software
- InstagridStuttgartcleantechEmbedded SystemsPythonFirmwareIoT
- AnyDeskStuttgartsaas/itC++RustGoTypeScript
- Makersite GmbHStuttgartsaas / supply-chain / product-lifecycle / sustainability-analytics[PythonKotlinReactTypeScript
- MARKT-PILOT GmbHStuttgartsaas / industrialSaaSData AnalyticsMachine LearningCloud
Consulting on this stack
Working with a similar stack?
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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