Agent-Framework („Avis")Rare
Used by 1 of 3.440 companies (0.0%)
startupVerified
BirdsView
- Location
- Leipzig· Sachsen
- Industry
- ai / e-commerce-crm / saas
- Founded
- 2023
- Employees
- 1-10
- Total funding
- €2.5 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
Shopify-Rare
Used by 1 of 3.440 companies (0.0%)
WooCommerce-Rare
Used by 1 of 3.440 companies (0.0%)
Shopware-APIsRare
Used by 1 of 3.440 companies (0.0%)
[LLMsRare
Used by 3 of 3.440 companies (0.1%)
Cloud (AWS)]Rare
Used by 4 of 3.440 companies (0.1%)
Next.jsRare
Used by 44 of 3.440 companies (1.3%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
TypeScriptUncommon
Used by 451 of 3.440 companies (13.1%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how BirdsView compares to its industry and city.
Funding position
Top 80%
More funding than 20% of all companies with reported funding.
Industry median: €2.5 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Claro4 shared techsBerlinfintechTypeScriptNext.jsNode.jsPython
- JUPUS4 shared techsKölnLegaltech / Saas / AiTypeScriptNext.jsPythonLLM-Integration
- Rolique4 shared techsBerlinhrtech/aiTypeScriptNext.jsNode.jsPython
- Techlogia4 shared techsBerlinSoftware Development / AIReactNext.jsTypeScriptPython
- UMYNO Solutions GmbH4 shared techsFrankfurt am Mainfoodtech / ai / rnd-productivity / b2b-saas[LLMsAgents für R&D-AutomationPythonTypeScript
- AGVOLUTION GmbH3 shared techsGöttingenagtech / precision-farming / soil-sensorik / ai-fertilization[proprietäre CLIMAVI-Sensorik (BodenfeuchteTemperaturMikroklima über 3 Tiefen)LoRaWAN
Same location
Local tech ecosystem
- CargobeamerLeipziglogisticsLogistik-Software (proprietär)Patentierte Wagontechnologie
- Next Frontier AI (SPRIND)LeipzigaiKIDeep Learningneue Algorithmen
- Skeleton TechnologiesLeipzigenergy / deeptechCurved GrapheneSuperkondensatorenBatterietechnologie
- XeedQLeipzigdeeptech / quantum-computing / diamond-spin-qubitsPythonC++Quantum-Control-SystemsOptics
- LecturioLeipzigEdTech / Medical-Education / Adaptive LearningRuby on RailsPythonVue.jsLLM-Tutor
- the nu companyLeipzigfoodtechShopifyD2CE-CommerceSustainability Analytics
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