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×D1Lexware×D1BigQuery×D1Power BI×D1Postgres×D1Postgres×D1Postgres×
Match mode
Title search
101 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
3861%
above baseline
Reg. pressure (D5 mentions)
10
across all listings in window
Top mover · D1
DATEV
∞ (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

061218242021-052022-082023-112025-022026-05
ExcelLexwarePostgresPower BIDATEV

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
DATEV4099.0
Postgres24099.0
Excel42099.0
SAP100.0
Power BI9099.0
HubSpot200.0
Jira200.0
Confluence100.0
Lexware26099.0
Snowflake200.0
BigQuery4099.0
Tableau100.0
Looker100.0
Metabase100.0
Lexoffice200.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
Excelreporten81.75×
PostgresAPI81.98×
Postgresintegrieren61.94×
LexwareAPI61.37×
ExcelPflege42.40×
Excelintegrieren40.74×
Postgrespipeline42.40×
pipelineAPI43.39×
integrierenAPI41.83×
ExcelPower BI30.80×
Power BIanalysieren38.42×
integrierenreporten32.12×
Lexwareintegrieren30.90×
PostgresDSGVO33.16×
DATEVPostgres22.10×
Excelautomatisieren20.96×
Excelanalysieren21.20×
Power BIautomatisieren24.49×
analysierenautomatisieren210.10×
ExcelHubSpot22.40×

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