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Where the money flows · what the market says
backend · postgres   ·   21.217 listings
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51 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
2422%
above baseline
Reg. pressure (D5 mentions)
3
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

8/20 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
LexwarePostgresDATEVExcelLexoffice

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres25099.0
DATEV300.0
Lexware26099.0
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
LexwareAPI61.07×
PostgresAPI50.93×
Postgresintegrieren41.17×
Postgrespipeline42.04×
pipelineAPI44.64×
Postgresexportieren31.53×
Lexwareintegrieren30.84×
PostgresDSGVO32.04×
DATEVPostgres21.36×
Lexwareimportieren21.96×
ExcelPostgres22.04×
Postgresautomatisieren22.04×
automatisierenintegrieren27.29×
LexofficeLexware21.96×
DATEVintegrieren12.43×
ExcelJira125.50×
JiraPostgres12.04×
PostgresSchnittstelle12.04×
automatisierenSchnittstelle125.50×
integrierenSchnittstelle17.29×

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