56 of 11.001 listings match.
Time = 5y,
src = 14/14,
lang = all,
dict = D1,
terms = 3(ANY). last watermark · 2026-05-07
Demand index · last 4 wk vs window mean
3946%
above baseline
Reg. pressure (D5 mentions)
0
across all listings in window
Top mover · D1
DATEV
∞ (z=0.0)
Recurring clusters
1
near-duplicate templates
01All 20 terms · Tools
9/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
sevdeskSnowflakeLexofficeBigQueryDATEV
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| DATEV | 1 | 0 | ∞ | 0.0 |
| sevdesk | 37 | 0 | ∞ | 99.0 |
| Snowflake | 19 | 0 | ∞ | 99.0 |
| BigQuery | 2 | 0 | ∞ | 0.0 |
| Lexoffice | 2 | 0 | ∞ | 0.0 |
| Tableau | 1 | 0 | ∞ | 0.0 |
| Looker | 1 | 0 | ∞ | 0.0 |
| Metabase | 1 | 0 | ∞ | 0.0 |
| Lexware | 1 | 0 | ∞ | 0.0 |
04Co-occurrence · top 20 pairs
Lift = P(A,B)/(P(A)·P(B)) · click to filter on both
| Term A | Term B | Count | Lift |
|---|---|---|---|
| sevdesk | API | 13 | 1.51× |
| sevdesk | exportieren | 2 | 1.51× |
| BigQuery | Snowflake | 2 | 2.95× |
| Lexoffice | sevdesk | 2 | 1.51× |
| sevdesk | automate | 2 | 1.51× |
| DATEV | sevdesk | 1 | 1.51× |
| DATEV | exportieren | 1 | 28.00× |
| Snowflake | ETL | 1 | 2.95× |
| BigQuery | ETL | 1 | 28.00× |
| Snowflake | Tableau | 1 | 2.95× |
| BigQuery | Tableau | 1 | 28.00× |
| Looker | Tableau | 1 | 56.00× |
| Metabase | Tableau | 1 | 56.00× |
| Looker | Snowflake | 1 | 2.95× |
| Metabase | Snowflake | 1 | 2.95× |
| BigQuery | Looker | 1 | 28.00× |
| BigQuery | Metabase | 1 | 28.00× |
| Looker | Metabase | 1 | 56.00× |
| Lexoffice | automate | 1 | 14.00× |
| sevdesk | integrieren | 1 | 1.51× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records
| Exemplar | Sources | Members | Median gap |
|---|---|---|---|
| Lead Data Engineer (Snowflake) | NoFluffJobs | 17 | 0d |