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
D1Excel×D1Postgres×D1BigQuery×D1Salesforce×D1Lexoffice×D1sevdesk×
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125 of 11.001 listings match. Time = 5y, src = 14/14, lang = all, dict = D1, terms = 6(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
3796%
above baseline
Reg. pressure (D5 mentions)
11
across all listings in window
Top mover · D1
DATEV
∞ (z=99.0)
Recurring clusters
1
near-duplicate templates

01All 20 terms · Tools

17/20 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
ExcelsevdeskPostgresSalesforceLexoffice

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
DATEV4099.0
sevdesk37099.0
SAP100.0
Excel42099.0
Power BI300.0
Postgres24099.0
HubSpot4099.0
Jira100.0
Confluence100.0
Salesforce12099.0
Snowflake200.0
BigQuery4099.0
Lexoffice9099.0
Tableau100.0
Looker100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
sevdeskAPI131.63×
Excelreporten82.38×
PostgresAPI81.54×
Postgresintegrieren62.60×
ExcelPflege42.98×
Excelintegrieren40.99×
Postgrespipeline42.60×
pipelineAPI42.31×
integrierenAPI41.54×
ExcelPower BI32.98×
automatisierenintegrieren36.25×
PostgresDSGVO33.12×
LexofficeAPI31.54×
DATEVexportieren212.50×
sevdeskexportieren21.35×
Excelanalysieren21.98×
Power BIanalysieren227.78×
Excelautomatisieren21.19×
analysierenautomatisieren216.67×
DATEVPostgres22.60×

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