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Where the money flows · what the market says
backend · postgres   ·   21.217 listings
Time
Sources
Active dictionary
Language
Hard term filter — click any term in panels to add
D1Postgres×D1BigQuery×D1BigQuery×D1Postgres×D1Lexware×D1Tableau×D1BigQuery×D1Postgres×
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60 of 21.217 listings match. Time = 5y, src = 10/10, lang = all, dict = D1, terms = 8(ANY). last watermark · 2026-05-08
Demand index · last 4 wk vs window mean
2925%
above baseline
Reg. pressure (D5 mentions)
4
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
2
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

024572021-052022-082023-112025-022026-05
LexwarePostgresTableauBigQueryDATEV

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres25099.0
Tableau6099.0
DATEV300.0
Lexware26099.0
Snowflake200.0
BigQuery4099.0
Looker100.0
Metabase100.0
Excel200.0
Jira100.0
Lexoffice200.0
sevdesk100.0
HubSpot100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
LexwareAPI61.26×
PostgresAPI51.09×
Postgresintegrieren41.37×
Postgrespipeline41.60×
pipelineAPI43.64×
Postgresexportieren31.44×
Lexwareintegrieren30.99×
PostgresDSGVO31.80×
DATEVPostgres21.60×
Lexwareimportieren22.31×
BigQuerySnowflake215.00×
ExcelPostgres22.40×
Postgresautomatisieren22.40×
automatisierenintegrieren28.57×
exportierenDSGVO26.00×
LexofficeLexware22.31×
DATEVintegrieren12.86×
SnowflakeETL130.00×
BigQueryETL115.00×
Tableaureporten15.00×

05Recurring clusters · near-duplicate listings

indicates productizable workflows · click row for records

ExemplarSourcesMembersMedian gap
LawnStarter: Director of Conversion Rate OptimizationWeWorkRemotely27d
Show HN: I extract recipes from TikTok, Instagram, and the messy webHacker20d
SignalStack · 5 yrs · 5 sources · self-running weekly · postgres backend