ollama
for ml engineers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
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)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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claudish-to-english — Claude Code plugin that rewrites each assistant message into plain language on screen only. Local ollama by default; a
Plugin rewrites Claude output to plain language locally using Ollama. · for AI engineers
githubSteady 5 · claudeai20d ago - 235
How to Use Claude Code for Free in 2026: OpenRouter Free Models, Ollama & Free GPU Credits
Free Claude Code via OpenRouter, Ollama, and GPU credits lowers entry barriers for AI projects. · for ai developers
devtoSteady 5 · claudeai10d ago - 325
The Complete Guide to Local LLM Inference Tools in July 2026: llama.cpp, Ollama, vLLM, SGLang, and Beyond
Local LLM tools compared · for ai devs, researchers
devtoEmergingai53d ago - 422
How I built a provider-agnostic AI architecture that automatically switches between Groq, OpenRouter, Ollama, and Gemini.
Ai architecture · for ai devs
devtoCoolingai57d ago - 519
I Built a Personal AI That Actually Knows My Projects (RAG + Ollama, Zero Cloud)
Shows how to self-host a RAG AI assistant with Ollama for personal project knowledge. · for AI engineers
devtoSteadyai20d ago - 610
Simple Benchmark Review: Ollama on Jetson Nano
Benchmark review · for hardware engineers
devtoSteadyhardware61d ago - 710
Post-Mortem: Building a Local MCP Server for Codebase Memory using Ollama and ChromaDB
Mcp server building · for ai engineers
devtoSteadyai56d ago - 810
Deploying Large Language Models (LLMs) with Ollama
Deploy large models · for ai devs
devtoSteadyai48d ago - 99
I got tired of not knowing what my AI agents were doing, so I built a tiny observability tool
Ai observability tool · for ai devs
devtoSteadyai56d ago - 108
Jetson Nano: Ollama & Optimal Quantization
devtoSteady67d ago - 118
My Local AI Stack, Mid-2026: What Survived and What I Dropped
AI stack updated · for ai devs, webdevs
devtoSteadyai42d ago - 127
Function Calling With a Local LLM to Drive Foundry: Fuzz, Read, Repeat
Local LLM for testing · for ai devs, solidity devs
devtoSteadyai39d ago - 137
I Built a Local RAG Assistant with Ollama, ChromaDB and LangChain. Here's What I Learned
Local RAG assistant built · for ai founders, dev teams
devtoSteadyai47d ago - 146
Ollama: All Aboard Open Models
Open models available · for ai founders
hackernewsSteadyai53d ago - 150
XHToken/Spark-X2.5-4B-GGUF (text-generation)
Introduces Spark 2.5B GGUF model compatible with llama.cpp, Ollama, and LM-Studio. · for ml engineers
huggingfaceSteadyai−14 saturated20h ago