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Where the money flows · what the market says
backend · postgres   ·   21.217 listings
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72 of 21.217 listings match. Time = 5y, src = 10/10, lang = all, dict = D1, terms = 4(ANY). last watermark · 2026-05-08
Demand index · last 4 wk vs window mean
4514%
above baseline
Reg. pressure (D5 mentions)
9
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

13/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

081523302021-052022-082023-112025-022026-05
ExcelPostgresDATEVSAPPower BI

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres25099.0
SAP4099.0
Excel48099.0
DATEV5099.0
Power BI300.0
Jira200.0
Confluence100.0
HubSpot200.0
Tableau100.0
Snowflake100.0
BigQuery100.0
Looker100.0
Metabase100.0

04Co-occurrence · top 20 pairs

Lift = P(A,B)/(P(A)·P(B)) · click to filter on both

Term ATerm BCountLift
Excelreporten101.50×
ExcelPflege61.50×
PostgresAPI52.06×
ExcelSAP41.50×
Excelanalysieren41.20×
Postgresintegrieren41.65×
Excelintegrieren40.86×
Postgrespipeline42.30×
pipelineAPI48.23×
DATEVExcel30.90×
ExcelPower BI31.50×
Postgresexportieren32.88×
PostgresDSGVO32.88×
analysierenreporten22.88×
Power BIanalysieren29.60×
DATEVPostgres21.15×
Excelautomatisieren20.75×
analysierenautomatisieren27.20×
ExcelSchnittstelle21.00×
automatisierenSchnittstelle212.00×

05Recurring clusters · near-duplicate listings

indicates productizable workflows · click row for records

ExemplarSourcesMembersMedian gap
Show HN: I extract recipes from TikTok, Instagram, and the messy webHacker20d
SignalStack · 5 yrs · 5 sources · self-running weekly · postgres backend