SignalStack
Where the money flows · what the market says
backend · postgres   ·   9.785 listings
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28 of 9.785 listings match. Time = 5y, src = 5/5, lang = all, dict = D1, terms = 5(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
1393%
above baseline
Reg. pressure (D5 mentions)
3
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

8/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom

02Term trend · top 5

anomalies marked · z > 2.5

012232021-052022-082023-112025-022026-05
PostgresJiraDATEVHubSpotExcel

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres21099.0
Jira8099.0
DATEV200.0
Excel100.0
HubSpot200.0
Salesforce100.0
Snowflake100.0
Confluence100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
PostgresAPI91.09×
Postgrespipeline71.33×
Postgresintegrieren50.95×
pipelineAPI51.82×
Jiraintegrieren31.50×
PostgresDSGVO31.33×
JiraAPI30.95×
DATEVPostgres21.33×
Postgresexportieren21.33×
Postgrespainful21.33×
integrierenpainful24.00×
PostgresREST21.33×
pipelineREST24.00×
APIREST22.55×
HubSpotPostgres21.33×
HubSpotintegrieren24.00×
integrierenAPI20.73×
DATEVintegrieren12.00×
exportierenAPI11.27×
exportierenDSGVO14.67×

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