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dataentity · one source so far

iceberg

for data engineers

Steadydevto
Signal score
6
as of 23d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 6

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.3 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−5.4 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite5.9

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    49

    One Iceberg MCP Server, Seven Catalogs: What It Takes to Reach Each One

    Shows how to build an MCP server with seven catalogs using Python for data pipelines. · for data engineers, backend developers

    devtoHeating 2 · pythondata31d ago
  2. 2
    35

    One Iceberg MCP Server, Seven Catalogs: What It Takes to Reach Each One

    Shows how to build an MCP server with seven catalogs using Python for data pipelines. · for data engineers, backend developers

    devtoSteady 2 · pythondata31d ago
  3. 3
    35

    Two Iceberg Clients, One Protocol: Where the Time Goes

    Benchmarks compare Rust and Python Iceberg clients, revealing performance differences for data pipelines. · for data engineers

    devtoSteady 2 · rustdata26d ago
  4. 4
    33

    What One Rust Client Can Reach Across Seven Iceberg Catalogs

    A Rust client can access multiple Iceberg catalogs, simplifying lakehouse data access. · for data engineers, backend developers

    devtoSteady 2 · rustdata26d ago
  5. 5
    31

    Two Iceberg Clients, One Protocol: Where the Time Goes

    Benchmarks compare Rust and Python Iceberg clients, revealing performance differences for data pipelines. · for data engineers

    devtoSteady 2 · rustdata26d ago
  6. 6
    30

    What One Rust Client Can Reach Across Seven Iceberg Catalogs

    A Rust client can access multiple Iceberg catalogs, simplifying lakehouse data access. · for data engineers, backend developers

    devtoSteady 2 · rustdata26d ago
  7. 7
    22

    Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't

    Compares four Iceberg tools and three agent frameworks for lakehouse data pipelines. · for data engineers, lakehouse architects

    devtoEmergingdata35d ago
  8. 8
    22

    Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't

    Compares four Iceberg tools and three agent frameworks for data lakehouse integration. · for data engineers

    devtoSteadydata35d ago
  9. 9
    20

    AWS Has Two Iceberg REST Catalogs: What Each One Actually Serves

    AWS launches two Iceberg REST catalogs, expanding lakehouse integration options. · for cloud architects

    devtoSteadydata47d ago
  10. 10
    18

    Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't

    Compares four Iceberg tools and three agent frameworks for data lakehouse integration. · for data engineers

    devtoSteadydata35d ago
  11. 11
    18

    Seven Iceberg REST Catalogs: What They Declare, and What They Serve

    Google Cloud adds Iceberg REST catalogs, affecting lakehouse data pipelines. · for data engineers

    devtoSteadydata47d ago