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Where the money flows · what the market says
backend · postgres   ·   21.217 listings
Time
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Hard term filter — click any term in panels to add
D1Metabase×D1BigQuery×D1BigQuery×D1BigQuery×D1Lexware×D1BigQuery×D1Tableau×D1Postgres×
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61 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
2984%
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
Metabase200.0
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
LexwareAPI61.28×
PostgresAPI51.11×
Postgresintegrieren41.39×
Postgrespipeline41.63×
pipelineAPI43.70×
Postgresexportieren31.46×
Lexwareintegrieren31.01×
PostgresDSGVO31.83×
DATEVPostgres21.63×
Lexwareimportieren22.35×
BigQuerySnowflake215.25×
ExcelPostgres22.44×
Postgresautomatisieren22.44×
automatisierenintegrieren28.71×
exportierenDSGVO26.10×
LexofficeLexware22.35×
DATEVintegrieren12.90×
SnowflakeETL130.50×
BigQueryETL115.25×
Tableaureporten15.08×

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