AWS]Rare
Used by 33 of 3.440 companies (1.0%)
startupVerified
LillianCare
- Location
- Heidelberg· Baden-Württemberg
- Industry
- healthtech / hybrid-primary-care
- Founded
- 2023
- Employees
- 11-50
- Total funding
- €5.0 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
[TypeScriptRare
Used by 40 of 3.440 companies (1.2%)
React NativeRare
Used by 84 of 3.440 companies (2.4%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
Node.jsUncommon
Used by 346 of 3.440 companies (10.1%)
In context
Raw numbers say little — here's how LillianCare compares to its industry and city.
Funding position
Top 65%
More funding than 35% of all companies with reported funding.
Industry median: €5.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Become.1 GmbH4 shared techsHeidelberghr-tech / saas / talent-development[TypeScriptNext.jsNode.jsPostgreSQL
- cargonerds4 shared techsHamburglogistics-SaaS / freight-digitalization[TypeScriptReactNode.jsPostgreSQL
- Reonic4 shared techsAugsburgcleantech / saas / solar-planning[TypeScriptNode.jsReactPostgreSQL
- ubiMaster4 shared techsMünchenedtech / tutoring-SaaS[TypeScriptReactNode.jsPostgreSQL
- Valoon4 shared techsDortmundconstruction-tech / project-management-SaaS[TypeScriptNode.jsReactPostgreSQL
- Airfocus3 shared techsHamburgSaaS / Product Management / Enterprise[TypeScriptReactNode.jsPostgreSQL
Same location
Local tech ecosystem
- Asklepios BiopharmaceuticalHeidelbergbiotech / gene-therapy / aav-vector[AAV-Vektor-EngineeringBioreaktor-Prozess-AutomatisierungGMP-Manufacturing-SystemeBioinformatik (Python
- Novaliq GmbHHeidelbergBioTech / OphthalmologieEyeSol®-Technologie (semifluorierte Alkane)Drug Deliveryklinische Studien
- EnapterHeidelbergcleantech/hydrogenPythonCC++Embedded
- UnzerHeidelbergfintech/paymentsJavaKubernetesReactPayment APIs
- GetsafeHeidelbergInsurTech / Digital Insurance / App-basedSwiftKotlinTypeScriptNode.js
- Exciva GmbHHeidelbergbiopharma / neuropsychiatrie / small-molecules[proprietäre NMDA-Rezeptor-Modulatorenmedizinische ChemieADMET-Modellingcomputergestütztes Drug-Design
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