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aientity · one source so far

qwen3.8-flashnext

for ML engineers, AI researchers

Steadyhuggingface
Signal score
0
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+12.4 / 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−22.8 / 30

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

Composite-10.4 → 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

medium confidence · estimate, not a guarantee

7-day

~0

range 0–17

14-day

~0

range 0–20

30-day

~0

range 0–27

Signal history

7-day window (free)
056

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
    29

    Show HN: Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s

    Demonstrates a 104 GB LLM can run on a 48 GB Mac at ~12 tok/s, lowering hardware barriers. · for ML engineers, devops

    hackernewsSteady 2 · qwen3.8-flashnextai40d ago
  2. 2
    28

    Qwen3.8-Flash-Next

    Qwen3.8-Flash-Next delivers faster inference for large language models. · for ml engineers, AI startups

    hackernewsSteady 2 · qwen3.8-flashnextai47d ago
  3. 3
    27

    Forget Claude Code. All you need is Qwen3.8-Flash-Next running locally for agentic coding

    Qwen3.8-Flash-Next runs locally for agentic coding, replacing Claude Code. · for ai developers, ml engineers

    devtoCooling 3 · qwen3.8-flashnextai6d ago
  4. 4
    11

    Qwen3.8-Flash-Next-Single-DGX-Spark — Qwen3.8-Flash-Next on ONE DGX Spark (TP=1)

    Runs Qwen 3.8 Flash model on a single DGX Spark, showing high-throughput inference capability. · for ml ops engineers, AI infrastructure teams

    githubSteady 2 · qwen3.8-flashnextai−14 saturated28d ago
  5. 5
    10

    Strata — Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API o

    Strata enables one-click deployment of Qwen3.8-Flash-Next on Windows/Linux consumer PCs. · for AI engineers, devops

    githubSteady 3 · openaiai−24 saturated14d ago
  6. 6
    0

    ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF (image-text-to-text)

    Introduces Qwen3.8-Flash-Next model in GGUF format for image-to-text generation. · for ml engineers, AI researchers

    huggingfaceSteadyai−14 saturated11d ago
  7. 7
    0

    Qwen/Qwen3.8-Flash-Next (image-text-to-text)

    Qwen 3.8-Flash-Next delivers fast image-to-text generation with flash attention. · for ML engineers, AI researchers

    huggingfaceSteadyai−23 saturated47d ago
  8. 8
    0

    unsloth/Qwen3.8-Flash-Next-GGUF (image-text-to-text)

    Unsloth released a GGUF build of Qwen3.8-Flash-Next for image-text-to-text, enabling efficient inference. · for ai developers

    huggingfaceSteadyai−18 saturated47d ago