gemma
for ai founders
Steady0
signal score
1
live items
→ Steady
7-day est. ~0
Why this scored 0
every term, weightedEngagement per hour, normalized against the fastest item on its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities are talking about the same entity
Decays to zero over 14 days
Subtracted once something is big and old — we rank what's next, not what's peaked
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology
Outlook
high confidence · estimate, not a guarantee7-day
~0
range 0–0
14-day
~0
range 0–0
30-day
~0
range 0–0
Signal history
7-day window (free)— — 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.
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tpu-management: a Claude Code skill for running Gemma 4 on Cloud TPUs
Run Gemma 4 on Cloud TPUs — for ai devs
devtoaiSteady🔗 6 · claude6d ago - 218
TPU Deployments with Gemma 31B, v6e-8, and Antigravity CLI
TPU deployments with Gemma — for ai engineers
devtoaiCooling🔗 2 · gemma12d ago - 313
Gemma 4 E2B on a Single TPU v6e Chip: A Serving Deep Dive
Gemma 4 E2B on TPU v6e — for ai researchers
devtoaiSteady🔗 3 · gemma6d ago - 413
Self-Hosted Gemma 4 on TPU v6e: Deployment & SRE with Antigravity
Gemma deployment on TPU — for ai devs
devtoaiSteady🔗 2 · gemma2d ago - 510
Smash Stories: The Bug That Whispered for Two Weeks Before I Heard It
whispering bug found — for ai engineers
devtoaiSteady🔗 2 · gemma7d ago - 610
Porting a 128-expert MoE (Gemma-4 26B-A4B) to AWS Inferentia2 — where every rank weighted the wrong experts
Porting gemma to aws — for ai engineers
devtoaiSteady🔗 2 · gemma10d ago - 710
Master Local Fine-Tuning with "gemma-trainer"
devtoSteady20d ago - 810
Five Gemma-4 models, one accelerator: what porting E2B 31B to AWS Inferentia2 taught me
Porting gemma to aws — for ai engineers
devtoaiSteady🔗 2 · gemma10d ago - 99
Running Gemma 4 26B at 5 tokens/sec on a 13-year-old Xeon with no GPU
Old hardware use — for hardware enthusiasts
hackernewshardwareSteady🔗 2 · gemma12d ago - 109
Show HN: Cactus Hybrid: We taught Gemma 4 to know when it's wrong
AI model learns self-correction — for ai researchers
hackernewsaiSteady🔗 2 · gemma4d ago - 118
Ask me anything (RAG)
AI Q&A — for ai founders
devtoaiSteady9h ago - 120
yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2-GGUF (text-generation)
Text generation model — for ai founders
huggingfaceaiSteady🔗 2 · gemma−19 saturated13d ago - 130
google/gemma-4-31B-it (image-text-to-text)
Image-text-to-text model — for ai researchers
huggingfaceaiSteady−21 saturated8d ago