© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Fast and efficient generative AI inference platform
Founded by: Michael Feng, Ying Sheng, Shuang Li
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Fireworks AI with 20% positive developer sentiment (10 HN comments analyzed), with 7,122,342 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/fireworks-ai?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
Fast and efficient generative AI inference platform
Estimated Company Size
250 - 500 employees
Website
fireworks.aiFounded
2023
Description
Fireworks AI offers a high-performance platform for serving and fine-tuning open-source large language models (LLMs) and other generative AI models. They enable developers and enterprises to deploy and run these models with unparalleled speed and cost-efficiency, making advanced AI accessible and scalable.
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.
Package download volume indicates real-world adoption and integration into production projects.
A high-performance platform and API for serving and fine-tuning open-source large language models and other generative AI models.
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Package downloads and ecosystem metrics — 30-day window
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