© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Run LLMs locally. Open-source tool for running models on your machine.
Founded by: Jeffrey Morgan, Gabriel Walsh
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Ollama ranks #7 in Foundation Models for HN discussion share (out of 33 tracked with 5.4% of HN discussion), with 62% positive developer sentiment (200 HN comments analyzed), with 7 commits/week (declining), with 2,498,296 npm downloads in 30 days, with 7,667,859 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/ollama?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Run LLMs locally. Open-source tool for running models on your machine.
Estimated Company Size
11 - 50 employees
Website
ollama.aiFounded
2023
Description
Ollama makes it easy to run LLMs locally. Download and run models like Llama, Mistral, and more. Popular with developers.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Weekly commit activity indicates ongoing development momentum and team productivity.
Package download volume indicates real-world adoption and integration into production projects.
An open-source tool that simplifies running large language models (LLMs) locally on your computer, allowing users to download and interact with various models.
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Package downloads and ecosystem metrics — 30-day window
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