ML-basiertes Skill-MatchingRare
Used by 1 of 3.440 companies (0.0%)
startupVerified
Become.1 GmbH
- Location
- Heidelberg· Baden-Württemberg
- Industry
- hr-tech / saas / talent-development
- Founded
- 2019
- Employees
- 11-50
- Total funding
- €3.7 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
OKR-Rare
Used by 1 of 3.440 companies (0.0%)
Feedback-AnalyticsRare
Used by 1 of 3.440 companies (0.0%)
AWS]Rare
Used by 33 of 3.440 companies (1.0%)
[TypeScriptRare
Used by 40 of 3.440 companies (1.2%)
Next.jsRare
Used by 44 of 3.440 companies (1.3%)
PostgreSQLRare
Used by 152 of 3.440 companies (4.4%)
Node.jsUncommon
Used by 346 of 3.440 companies (10.1%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Become.1 GmbH compares to its industry and city.
Funding position
Top 72%
More funding than 28% of all companies with reported funding.
Industry median: €3.7 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- cargonerds4 shared techsHamburglogistics-SaaS / freight-digitalization[TypeScriptReactNode.jsPostgreSQL
- Claro4 shared techsBerlinfintechTypeScriptNext.jsNode.jsPython
- LillianCare4 shared techsHeidelberghealthtech / hybrid-primary-care[TypeScriptReact NativeNode.jsPostgreSQL
- Openlaw UG (haftungsbeschränkt) — Marke: beglaubigt.de4 shared techsMünchenlegaltech / notarservices / saas / ai[TypeScriptReactNode.jsPython
- Reonic4 shared techsAugsburgcleantech / saas / solar-planning[TypeScriptNode.jsReactPostgreSQL
- Rolique4 shared techsBerlinhrtech/aiTypeScriptNext.jsNode.jsPython
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