Resources
Written by the team behind tamo.ai in Vienna. Practical answers on sourcing candidates, the economics of recruitment agencies and hiring in the DACH market. No gated downloads, no invented statistics.
Guides
How hiring teams find and approach candidates who are not applying.
- How to find candidates for an open roleA direct answer to how a hiring team finds candidates for an open role, the four routes available and what each one costs in money and time.
- AI recruiting and AI sourcing in DACHWhat AI recruiting software actually automates today, what still needs a human, and what is specific to hiring in Germany, Austria and Switzerland.
- AI in recruitingTransparency page: what the AI does, what the Match Score means, and where the recruiter decides.
Comparisons
How the established routes to a hire work, and where each one still wins.
- Alternative to recruitment agenciesRecruitment agency versus in-house sourcing with tamo.ai: who does the work, how each is priced, who owns the candidate pipeline and when an agency is still the better choice.
- Alternative to headhuntersExecutive search and contingency headhunting compared with running the search yourself on tamo.ai, including where retained search remains irreplaceable.
- LinkedIn Recruiter alternativeA seat-based search database compared with an evaluated shortlist plus outreach from your own LinkedIn account.
By role
What changes when the role is commercial or technical.
- Recruiting salespeople in DACHHow to source and approach sales candidates in DACH, which signals separate strong sales profiles and how tamo.ai handles the role.
- Recruiting software engineers in DACHSourcing engineers in a market where most qualified people are passive: evidence to look for, outreach that gets answered, and how tamo.ai runs the role.
Free tools
Interactive calculators. No signup, nothing stored.