One source, one UI
LinkedIn, XING, GitHub, Behance. Every network has its own search UI. You juggle filters and tabs.
Where your week stalls today
Manual cross-checking
Is this the same person? You copy names, compare URLs, check career steps. Several minutes per profile.
Boolean is powerful, but slow
AND, OR, NOT, parentheses. Works. Slow to write. Breaks on the first typo.
Knowledge lives in browser history
Last week you built the perfect search. Today: 'Where was that again?'
What Talentwunder does differently
01
30 networks, one query
One search, every source. From LinkedIn to GitHub to Stack Overflow. No more tab-hopping.
02
Boolean + AI in the same field
Type Boolean when you want control. Use AI when speed matters. Same result set.
03
Super Profile consolidation
When the same person shows up on four networks, you see them once. With every signal combined.
04
Searches that stick
Save queries, share them with the team, build on top of them. Sourcing knowledge doesn't travel with your tab history.
What you'll actually use day to day
AI search
Open it once. Your saved searches are already chips.
The moment you land on Search you see your last queries as chips, with the result count baked in. One click, you're inside. Or describe a new hire in plain language. Or drop into manual filters. Three paths, one field.
Boolean mode
Boolean without friction
Full Boolean syntax with live validation, auto-complete for skills and locations, Job-2-skill expansions. When you want control, you have it.
Super Profile
One person, every network
Consolidated skill list, career history, activity signals, change probability. You see the person, not their fragmented profiles.
