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
D1Jira×D1Postgres×D1Snowflake×D1Lexware×D1Metabase×D1Power BI×
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87 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 6(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
4184%
above baseline
Reg. pressure (D5 mentions)
3
across all listings in window
Top mover · D1
Excel
∞ (z=99.0)
Recurring clusters
2
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

05914182021-052022-082023-112025-022026-05
LexwarePostgresSnowflakeJiraPower BI

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Excel4099.0
Power BI9099.0
Jira11099.0
Postgres24099.0
DATEV300.0
Lexware26099.0
Confluence300.0
Snowflake19099.0
BigQuery200.0
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
PostgresAPI81.81×
Postgresintegrieren61.81×
LexwareAPI61.25×
Postgrespipeline43.63×
pipelineAPI45.44×
integrierenAPI41.81×
ExcelPower BI37.25×
Power BIanalysieren37.25×
ConfluenceJira37.91×
JiraPflege37.91×
Lexwareintegrieren30.84×
PostgresDSGVO33.63×
Excelanalysieren210.88×
Jiraintegrieren21.32×
Power BIautomatisieren23.87×
analysierenautomatisieren28.70×
DATEVPostgres22.42×
ConfluencePflege219.33×
automatisierenSchnittstelle217.40×
JiraPower BI21.76×

05Recurring clusters · near-duplicate listings

indicates productizable workflows · click row for records

ExemplarSourcesMembersMedian gap
Lead Data Engineer (Snowflake)NoFluffJobs170d
Show HN: I extract recipes from TikTok, Instagram, and the messy webHacker20d
SignalStack · 5 yrs · 5 sources · self-running weekly · postgres backend