SignalStack
Where the money flows · what the market says
backend · postgres   ·   21.199 listings
Time
Sources
Active dictionary
Language
Hard term filter — click any term in panels to add
D1BigQuery×D1Lexoffice×D1BigQuery×D1BigQuery×D1Postgres×D1BigQuery×D1BigQuery×D1Metabase×
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39 of 21.199 listings match. Time = 5y, src = 10/10, lang = all, dict = D1, terms = 8(ANY). last watermark · 2026-05-07
Demand index · last 4 wk vs window mean
3333%
above baseline
Reg. pressure (D5 mentions)
4
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

024572021-052022-082023-112025-022026-05
PostgresLexofficeBigQueryDATEVExcel

03Top movers · current half vs prev half

largest |Δ%| · z-score (Poisson)

TermNowPrevΔ %z
Postgres25099.0
DATEV200.0
Snowflake200.0
BigQuery4099.0
sevdesk200.0
Lexoffice9099.0
Tableau100.0
Looker100.0
Metabase200.0
Excel200.0
Jira100.0
Lexware200.0
HubSpot100.0

04Co-occurrence · top 20 pairs

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

Term ATerm BCountLift
PostgresAPI50.98×
Postgresintegrieren41.25×
Postgrespipeline41.25×
pipelineAPI43.90×
Postgresexportieren31.17×
PostgresDSGVO31.17×
LexofficeAPI31.63×
DATEVPostgres21.56×
BigQuerySnowflake29.75×
Lexofficesevdesk24.33×
ExcelPostgres21.56×
Postgresautomatisieren21.56×
automatisierenintegrieren27.80×
exportierenDSGVO24.88×
LexofficeLexware24.33×
DATEVintegrieren13.90×
SnowflakeETL119.50×
BigQueryETL19.75×
BigQueryreporten19.75×
SnowflakeTableau119.50×

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