48 of 9.900 listings match.
Time = 5y,
src = 8/8,
lang = all,
dict = D1,
terms = 6(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
2302%
above baseline
Reg. pressure (D5 mentions)
3
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
LexwarePostgresJiraDATEVLexoffice
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| DATEV | 3 | 0 | ∞ | 0.0 |
| Postgres | 18 | 0 | ∞ | 99.0 |
| Jira | 5 | 0 | ∞ | 99.0 |
| Lexware | 25 | 0 | ∞ | 99.0 |
| Lexoffice | 2 | 0 | ∞ | 0.0 |
| sevdesk | 1 | 0 | ∞ | 0.0 |
| Excel | 1 | 0 | ∞ | 0.0 |
| HubSpot | 1 | 0 | ∞ | 0.0 |
| Confluence | 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 |
|---|---|---|---|
| Postgres | API | 6 | 1.23× |
| Lexware | API | 6 | 0.89× |
| Postgres | integrieren | 4 | 1.19× |
| Postgres | pipeline | 4 | 2.67× |
| pipeline | API | 4 | 3.69× |
| Lexware | integrieren | 3 | 0.64× |
| Postgres | exportieren | 3 | 2.00× |
| Postgres | DSGVO | 3 | 2.67× |
| DATEV | Postgres | 2 | 1.78× |
| Jira | integrieren | 2 | 2.13× |
| Lexware | importieren | 2 | 1.92× |
| integrieren | API | 2 | 0.82× |
| Postgres | automatisieren | 2 | 2.67× |
| automatisieren | integrieren | 2 | 5.33× |
| exportieren | API | 2 | 1.85× |
| Lexoffice | Lexware | 2 | 1.92× |
| DATEV | integrieren | 1 | 1.78× |
| Jira | API | 1 | 0.74× |
| Postgres | Schnittstelle | 1 | 2.67× |
| automatisieren | Schnittstelle | 1 | 24.00× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records
| Exemplar | Sources | Members | Median gap |
|---|---|---|---|
| Show HN: I extract recipes from TikTok, Instagram, and the messy web | Hacker | 2 | 0d |