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×D1Confluence×D1Postgres×D1SAP×D1Power BI×
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169 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 7(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
5615%
above baseline
Reg. pressure (D5 mentions)
3
across all listings in window
Top mover · D1
SAP
∞ (z=99.0)
Recurring clusters
3
near-duplicate templates

01All 20 terms · Tools

9/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

0255074992021-052022-082023-112025-022026-05
SAPPostgresJiraPower BIExcel

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
SAP126099.0
Jira11099.0
Postgres24099.0
DATEV300.0
Power BI9099.0
Excel5099.0
MS Dynamics100.0
Confluence4099.0
HubSpot100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
PostgresAPI83.76×
Postgresintegrieren63.52×
SAPAPI50.45×
Postgrespipeline47.04×
pipelineAPI411.27×
SAPintegrieren30.34×
ConfluencePflege331.69×
ExcelPower BI311.27×
Power BIanalysieren39.39×
JiraPflege311.52×
ConfluenceJira311.52×
integrierenAPI32.82×
PostgresDSGVO37.04×
Jiraintegrieren22.56×
DATEVPostgres24.69×
Confluencereporten214.08×
reportenPflege214.08×
Power BIautomatisieren27.51×
Excelanalysieren211.27×
analysierenautomatisieren211.27×

05Recurring clusters · near-duplicate listings

indicates productizable workflows · click row for records

ExemplarSourcesMembersMedian gap
SAP MM ConsultantNoFluffJobs170d
Show HN: I extract recipes from TikTok, Instagram, and the messy webHacker20d
Deutschland – Dienstleistungen in Verbindung mit Software – Lizenzbeschaffung und Implementierung der SAP S/4HANA Public Cloud und SAP AribaTED20d
SignalStack · 5 yrs · 5 sources · self-running weekly · postgres backend