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businessentity · one source so far

mistral

for research engineers, partnership managers

Steadyhackernews
Signal score
0
as of 4d ago
Live items
1
Trajectory
↓ Cooling
7-day est. ~0

Why this scored 0

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−15.6 / 30

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

Composite-4.2 → clamped to 0

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

Outlook

low confidence · estimate, not a guarantee

7-day

~0

range 0–12

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
061

projected trajectory (estimate, not a guarantee)

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
    32

    Timestral: Mistral's time-series foundation models

    Mistral released time-series foundation models for building forecasting applications. · for ml engineers, data scientists

    hackernewsSteady 3 · timestralai7d ago
  2. 2
    26

    @ai-sdk/mistral — The **[Mistral provider](https://ai-sdk.dev/providers/ai-sdk-providers/mistral)** for the [AI SDK](https://ai-sdk.dev/docs

    New ai provider · for ai devs

    npmSteady 2 · mistralai−6 saturated101d ago
  3. 3
    24

    Timestral: Mistral's time-series foundation models

    Mistral releases time-series foundation models for forecasting applications. · for data scientists, ml engineers

    lobstersCooling 2 · same storyai7d ago
  4. 4
    16

    CEO of Mistral: AI is software. It can be controlled

    Mistral frames AI as controllable software, influencing product strategy. · for AI product managers, founders

    hackernewsSteadyai29d ago
  5. 5
    16

    Mistral Patent for “Code implemented tool calls”

    Patent for code tool · for dev founders

    hackernewsSteadybusiness77d ago
  6. 6
    16

    CERN and Mistral sign a statement of intent to establish a strategic partnership

    CERN and Mistral announced a strategic AI partnership for joint research. · for research engineers, partnership managers

    hackernewsSteadybusiness6d ago
  7. 7
    16

    Mistral X Mozilla: Private, Multilingual AI Browsing

    Private multilingual AI browsing could change how web assistants are built and used. · for web devs, AI product teams

    hackernewsSteadyai40d ago
  8. 8
    15

    Mistral raises €3B

    Mistral secured a €3 billion round, expanding its AI model development capacity. · for AI founders

    hackernewsSteadybusiness48d ago
  9. 9
    13

    Shieldstral Introduces Policy-Adaptive Multimodal Safety Classification in a 3B Model

    New safety classification model · for ai researchers

    devtoSteady 2 · mistralai82d ago
  10. 10
    9

    Mistral's Shieldstral: 3B open-weights model for multimodal moderation

    New multimodal moderation model · for ai founders

    hackernewsSteady 2 · shieldstralai82d ago
  11. 11
    8

    Mistral's Robostral Navigate: a state of the art robotics navigation model

    hackernewsSteady109d ago