React (abgeleitet)Rare
Used by 2 of 3.440 companies (0.1%)
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
LLMRare
Used by 57 of 3.440 companies (1.7%)
AIUncommon
Used by 465 of 3.440 companies (13.5%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Sparkli compares to its industry and city.
Industry peers
13
13 companies in the same industry
3 of those in Berlin
Similar companies
Similar companies
Same industry
Competitors and peers
Similar stack
At least 2 shared technologies
- amaiko3 shared techsViechtachaiPythonAIMLNLP
- Forgent AI3 shared techsBerlingovtech / aiAIMLLLMPython
- Invertix AI GmbH3 shared techsMünchencleantech / aiPythonAIMLLLM
- MAIA3 shared techsLeipzigenterprise-software / aiAINLPPythonCloud
- Tutel (ArchiTech AI)3 shared techsMarschachtedtech / aiAIMLNLPLLM
- Unlock AI3 shared techsKölnai / saasPythonLLMAIML
Same location
Local tech ecosystem
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