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×D1Salesforce×D1BigQuery×D1Power BI×
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59 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
4517%
above baseline
Reg. pressure (D5 mentions)
5
across all listings in window
Top mover · D1
Postgres
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

13/20 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
PostgresSalesforceJiraPower BIExcel

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres24099.0
Power BI9099.0
Excel4099.0
Jira11099.0
DATEV300.0
Confluence4099.0
Salesforce12099.0
Snowflake200.0
BigQuery4099.0
HubSpot300.0
Tableau100.0
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
PostgresAPI81.79×
Postgresintegrieren61.48×
Postgrespipeline41.64×
pipelineAPI43.58×
ExcelPower BI34.92×
Power BIanalysieren34.92×
ConfluencePflege311.06×
JiraPflege34.02×
ConfluenceJira34.02×
automatisierenintegrieren32.95×
integrierenAPI31.61×
PostgresDSGVO31.48×
Excelanalysieren27.38×
Power BIautomatisieren22.19×
analysierenautomatisieren24.92×
Jiraintegrieren21.07×
Confluencereporten24.92×
reportenPflege24.92×
DATEVPostgres21.64×
JiraPower BI21.19×

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