SignalStack
Where the money flows · what the market says
backend · postgres   ·   11.001 listings
Time
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Hard term filter — click any term in panels to add
D1Confluence×D1Postgres×D1Lexware×D1Excel×D1Lexware×
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94 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 5(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
3872%
above baseline
Reg. pressure (D5 mentions)
9
across all listings in window
Top mover · D1
SAP
∞ (z=0.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

11/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

071420272021-052022-082023-112025-022026-05
ExcelLexwarePostgresDATEVConfluence

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
SAP100.0
Excel42099.0
DATEV5099.0
Confluence4099.0
Power BI300.0
Postgres24099.0
Jira300.0
Lexware26099.0
HubSpot200.0
Lexoffice200.0
sevdesk100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
Excelreporten81.79×
PostgresAPI81.96×
Postgresintegrieren61.96×
LexwareAPI61.36×
ExcelPflege41.49×
Excelintegrieren40.75×
Postgrespipeline42.61×
pipelineAPI43.92×
integrierenAPI41.96×
ConfluencePflege311.75×
ExcelPower BI32.24×
ConfluenceJira323.50×
automatisierenSchnittstelle314.10×
Lexwareintegrieren30.90×
PostgresDSGVO33.92×
Confluencereporten24.70×
reportenPflege23.13×
Excelanalysieren21.49×
Power BIanalysieren220.89×
DATEVPostgres21.57×

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