SignalStack
Where the money flows · what the market says
backend · postgres   ·   21.217 listings
Time
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Hard term filter — click any term in panels to add
D1BigQuery×D1Excel×D1Lexware×D1MS Dynamics×D1BigQuery×D1BigQuery×D1Postgres×
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111 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
4041%
above baseline
Reg. pressure (D5 mentions)
10
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

081523302021-052022-082023-112025-022026-05
ExcelLexwarePostgresMS DynamicsDATEV

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres25099.0
SAP5099.0
Excel48099.0
DATEV6099.0
MS Dynamics10099.0
Power BI300.0
Lexware26099.0
Jira200.0
Confluence100.0
HubSpot200.0
Snowflake200.0
BigQuery4099.0
Tableau100.0
Looker100.0
Metabase100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
Excelreporten102.10×
ExcelPflege61.98×
LexwareAPI61.97×
PostgresAPI51.71×
ExcelSAP41.85×
Excelanalysieren41.85×
Postgresintegrieren41.61×
Excelintegrieren40.84×
Postgrespipeline42.96×
pipelineAPI45.69×
DATEVExcel31.16×
ExcelPower BI32.31×
Postgresexportieren32.66×
Lexwareintegrieren31.16×
PostgresDSGVO33.33×
analysierenreporten24.04×
Power BIanalysieren214.80×
DATEVPostgres21.48×
Excelautomatisieren21.16×
analysierenautomatisieren211.10×

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