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×D1Confluence×D1Jira×D1Confluence×D1Postgres×D1sevdesk×D1Power BI×
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80 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
3575%
above baseline
Reg. pressure (D5 mentions)
3
across all listings in window
Top mover · D1
Power BI
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

10/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

023562021-052022-082023-112025-022026-05
sevdeskPostgresJiraPower BIDATEV

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Power BI9099.0
Jira11099.0
DATEV4099.0
sevdesk37099.0
Postgres24099.0
Excel4099.0
Confluence4099.0
Lexoffice200.0
Lexware100.0
HubSpot100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
sevdeskAPI131.22×
PostgresAPI81.16×
Postgresintegrieren62.00×
Postgrespipeline43.33×
pipelineAPI43.48×
integrierenAPI41.39×
ExcelPower BI36.67×
Power BIanalysieren36.67×
ConfluencePflege315.00×
JiraPflege35.45×
ConfluenceJira35.45×
PostgresDSGVO33.33×
Jiraintegrieren21.45×
Power BIautomatisieren23.56×
DATEVexportieren210.00×
sevdeskexportieren21.08×
Excelanalysieren210.00×
analysierenautomatisieren28.00×
DATEVPostgres21.67×
Confluencereporten28.00×

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