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.