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×D1Jira×D1Jira×D1Jira×D1Postgres×D1Excel×D1Lexoffice×D1Tableau×
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90 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 8(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
4478%
above baseline
Reg. pressure (D5 mentions)
9
across all listings in window
Top mover · D1
Excel
∞ (z=99.0)
Recurring clusters
2
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

071420272021-052022-082023-112025-022026-05
ExcelPostgresJiraLexofficeTableau

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Excel42099.0
Power BI4099.0
SAP100.0
DATEV300.0
Postgres24099.0
Jira11099.0
Tableau6099.0
Confluence300.0
HubSpot200.0
sevdesk200.0
Lexoffice9099.0
Snowflake100.0
BigQuery100.0
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
Excelreporten81.56×
PostgresAPI82.14×
Postgresintegrieren61.88×
ExcelPflege41.43×
Excelintegrieren40.71×
Postgrespipeline42.14×
pipelineAPI43.67×
integrierenAPI42.14×
ExcelPower BI31.61×
Power BIanalysieren316.88×
JiraPflege34.09×
ConfluenceJira38.18×
automatisierenSchnittstelle313.50×
PostgresDSGVO33.75×
LexofficeAPI32.14×
Excelanalysieren21.07×
Excelautomatisieren20.86×
analysierenautomatisieren29.00×
DATEVPostgres22.50×
Jiraintegrieren21.36×

05Recurring clusters · near-duplicate listings

indicates productizable workflows · click row for records

ExemplarSourcesMembersMedian gap
LawnStarter: Director of Conversion Rate OptimizationWeWorkRemotely20d
Show HN: I extract recipes from TikTok, Instagram, and the messy webHacker20d
SignalStack · 5 yrs · 5 sources · self-running weekly · postgres backend