SignalStack
Where the money flows · what the market says
backend · postgres   ·   11.001 listings
Time
Sources
Active dictionary
Language
Hard term filter — click any term in panels to add
D1Excel×D1Postgres×D1BigQuery×D1Lexware×D1BigQuery×D1Lexoffice×D1Salesforce×
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114 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 7(ANY). last watermark · 2026-05-07
Demand index · last 4 wk vs window mean
3763%
above baseline
Reg. pressure (D5 mentions)
11
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

17/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

061218242021-052022-082023-112025-022026-05
ExcelLexwarePostgresSalesforceLexoffice

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres24099.0
SAP100.0
Excel42099.0
Power BI300.0
DATEV4099.0
Salesforce12099.0
Lexware26099.0
Jira100.0
Confluence100.0
HubSpot4099.0
Snowflake200.0
BigQuery4099.0
sevdesk300.0
Lexoffice9099.0
Tableau100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
Excelreporten82.17×
PostgresAPI82.00×
Postgresintegrieren62.04×
LexwareAPI61.38×
ExcelPflege42.71×
Excelintegrieren40.78×
Postgrespipeline42.38×
pipelineAPI43.00×
integrierenAPI41.71×
ExcelPower BI32.71×
automatisierenintegrieren34.89×
Lexwareintegrieren30.94×
PostgresDSGVO32.85×
LexofficeAPI32.00×
Excelanalysieren21.81×
Power BIanalysieren225.33×
Excelautomatisieren21.09×
analysierenautomatisieren215.20×
DATEVPostgres22.38×
ExcelSchnittstelle21.81×

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