SignalStack
Where the money flows · what the market says
backend · postgres   ·   21.217 listings
Time
Sources
Active dictionary
Language
Hard term filter — click any term in panels to add
D1Lexware×D1BigQuery×D1BigQuery×D1BigQuery×D1Postgres×D1Power BI×D1BigQuery×D1BigQuery×
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71 of 21.217 listings match. Time = 5y, src = 10/10, lang = all, dict = D1, terms = 8(ANY). last watermark · 2026-05-08
Demand index · last 4 wk vs window mean
3479%
above baseline
Reg. pressure (D5 mentions)
4
across all listings in window
Top mover · D1
Power BI
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

15/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

024572021-052022-082023-112025-022026-05
LexwarePostgresPower BIExcelBigQuery

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Power BI16099.0
Postgres25099.0
Excel5099.0
DATEV300.0
Lexware26099.0
Jira300.0
Confluence100.0
Snowflake300.0
BigQuery4099.0
Tableau100.0
Looker100.0
Metabase100.0
Lexoffice200.0
sevdesk100.0
HubSpot100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
LexwareAPI61.37×
PostgresAPI51.18×
Postgresintegrieren41.42×
Postgrespipeline42.27×
pipelineAPI44.73×
ExcelPower BI32.66×
Power BIanalysieren33.33×
Postgresexportieren31.70×
Lexwareintegrieren31.02×
PostgresDSGVO32.13×
Excelanalysieren27.10×
Power BIautomatisieren22.22×
analysierenautomatisieren28.88×
DATEVPostgres21.89×
ExcelJira29.47×
JiraPower BI22.96×
Power BIreporten22.96×
BigQuerySnowflake211.83×
Lexwareimportieren22.73×
ExcelPostgres21.14×

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