SignalStack
Where the money flows · what the market says
backend · postgres   ·   21.217 listings
Time
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Active dictionary
Language
Hard term filter — click any term in panels to add
D1Metabase×D1BigQuery×D1BigQuery×D1BigQuery×D1Lexoffice×D1Excel×D1Postgres×
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85 of 21.217 listings match. Time = 5y, src = 10/10, lang = all, dict = D1, terms = 7(ANY). last watermark · 2026-05-08
Demand index · last 4 wk vs window mean
4282%
above baseline
Reg. pressure (D5 mentions)
10
across all listings in window
Top mover · D1
SAP
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

16/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

081523302021-052022-082023-112025-022026-05
ExcelPostgresLexofficeDATEVSAP

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
SAP4099.0
Excel48099.0
Postgres25099.0
DATEV5099.0
Power BI300.0
Jira200.0
Confluence100.0
HubSpot200.0
Snowflake200.0
BigQuery4099.0
sevdesk200.0
Lexoffice9099.0
Tableau100.0
Looker100.0
Metabase200.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
Excelreporten101.61×
ExcelPflege61.77×
PostgresAPI51.70×
ExcelSAP41.77×
Excelanalysieren41.42×
Postgresintegrieren41.70×
Excelintegrieren40.89×
Postgrespipeline42.27×
pipelineAPI45.67×
DATEVExcel31.06×
ExcelPower BI31.77×
Postgresexportieren32.55×
PostgresDSGVO32.55×
LexofficeAPI32.83×
analysierenreporten23.09×
Excelautomatisieren20.89×
Power BIanalysieren211.33×
analysierenautomatisieren28.50×
DATEVPostgres21.36×
ExcelJira21.77×

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