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Where the money flows · what the market says
backend · postgres   ·   21.217 listings
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44 of 21.217 listings match. Time = 5y, src = 10/10, lang = all, dict = D1, terms = 4(ANY). last watermark · 2026-05-07
Demand index · last 4 wk vs window mean
4432%
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

7/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

03710132021-052022-082023-112025-022026-05
PostgresJiraConfluenceExcelDATEV

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres25099.0
Jira20099.0
Confluence6099.0
DATEV200.0
Excel300.0
Power BI200.0
HubSpot100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
ConfluenceJira62.20×
PostgresAPI51.47×
Jiraanalysieren41.76×
JiraPflege42.20×
Jiraintegrieren41.10×
Postgresintegrieren40.88×
Postgrespipeline41.76×
pipelineAPI47.33×
ConfluencePflege35.50×
automatisierenintegrieren34.13×
Postgresexportieren31.76×
PostgresDSGVO31.76×
Confluenceanalysieren22.93×
Jiraautomatisieren21.10×
JiraREST22.20×
Confluenceautomatisieren23.67×
analysierenautomatisieren24.40×
analysierenintegrieren22.20×
DATEVPostgres21.76×
ExcelJira21.47×

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