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Where the money flows · what the market says
backend · postgres   ·   19.332 listings
Time
Sources
Active dictionary
Language
Hard term filter — click any term in panels to add
D1Lexware×D1BigQuery×D1Postgres×D1Lexware×D1BigQuery×D1BigQuery×D1BigQuery×D1Postgres×
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53 of 19.332 listings match. Time = 5y, src = 10/10, lang = all, dict = D1, terms = 8(ANY). last watermark · 2026-05-07
Demand index · last 4 wk vs window mean
2698%
above baseline
Reg. pressure (D5 mentions)
4
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

12/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

024572021-052022-082023-112025-022026-05
LexwarePostgresBigQueryDATEVLexoffice

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres23099.0
DATEV300.0
Lexware26099.0
Snowflake200.0
BigQuery4099.0
Tableau100.0
Looker100.0
Metabase100.0
Lexoffice200.0
sevdesk100.0
Excel100.0
HubSpot100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
LexwareAPI61.11×
PostgresAPI51.05×
Postgresintegrieren41.32×
Postgrespipeline41.84×
pipelineAPI43.85×
Postgresexportieren31.38×
Lexwareintegrieren30.87×
PostgresDSGVO31.73×
DATEVPostgres21.54×
Lexwareimportieren22.04×
BigQuerySnowflake213.25×
Postgresautomatisieren22.30×
automatisierenintegrieren27.57×
exportierenDSGVO25.30×
LexofficeLexware22.04×
DATEVintegrieren12.52×
SnowflakeETL126.50×
BigQueryETL113.25×
BigQueryreporten113.25×
SnowflakeTableau126.50×

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