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Where the money flows · what the market says
backend · postgres   ·   11.001 listings
Time
Sources
Active dictionary
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Hard term filter — click any term in panels to add
D1Salesforce×D1BigQuery×D1Looker×D1MS Dynamics×D1Tableau×D1Postgres×
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48 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 6(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
4333%
above baseline
Reg. pressure (D5 mentions)
5
across all listings in window
Top mover · D1
DATEV
∞ (z=0.0)
Recurring clusters
2
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

013452021-052022-082023-112025-022026-05
PostgresSalesforceTableauBigQueryHubSpot

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
DATEV200.0
Postgres24099.0
SAP100.0
MS Dynamics300.0
Tableau6099.0
Salesforce12099.0
Snowflake200.0
BigQuery4099.0
HubSpot300.0
Looker100.0
Metabase100.0
Excel100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
PostgresAPI81.78×
Postgresintegrieren61.50×
Postgrespipeline41.14×
pipelineAPI43.05×
automatisierenintegrieren36.00×
PostgresDSGVO31.20×
DATEVPostgres22.00×
BigQuerySnowflake212.00×
SalesforceREST22.67×
SalesforceSOAP24.00×
RESTSOAP216.00×
HubSpotSalesforce22.67×
integrierenAPI21.33×
Postgresautomatisieren21.33×
Postgresexportieren21.33×
exportierenDSGVO26.40×
APIDSGVO22.13×
DATEVintegrieren13.00×
MS DynamicsSAP116.00×
SAPintegrieren16.00×

05Recurring clusters · near-duplicate listings

indicates productizable workflows · click row for records

ExemplarSourcesMembersMedian gap
LawnStarter: Director of Conversion Rate OptimizationWeWorkRemotely20d
Show HN: I extract recipes from TikTok, Instagram, and the messy webHacker20d
SignalStack · 5 yrs · 5 sources · self-running weekly · postgres backend