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Fireworks AI

Fast and efficient generative AI inference platform

Founded by: Michael Feng, Ying Sheng, Shuang Li

DMI: 13#119 of 262HN 30d: 10
135 · 36 forks
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Limited data·Missing: npm downloads, npm dependentsAbout our data

Developer Adoption

Package downloads and ecosystem metrics, 30-day window

PyPI Downloads (30d)
7.4M +17%
fireworks-ai
Active Contributors (30d)
4
Unique committers, 30-day window

Active Contributors Trend

Insufficient data for trend chart

Need at least 2 data points (currently have 1)

PyPI Download Trend

3,503,5074,695,2635,887,0187,078,7748,270,529Dec 10Jan 7Jan 29Feb 12Feb 22Feb 26
90-day trend↑ +33.9%

pypi downloads grew from 5,561,974 to 7,446,063 (+33.9%) over the last 90 days.

Developer Community Metrics

Metrics computed from HN discussion, GitHub activity, and funding data.

HN Discussion Rank#24 in AI Infrastructure by HN mentions (out of 75 tracked)
HN vs Category5.0x category median (10 vs 2 median)
Funding Trajectory2 rounds in 2 months, ($25M → $52M)
Community Sentiment20% positive HN sentiment (10 comments) • Moderate confidence

Category Benchmark

75 AI Infrastructure companies
7.4M downloads/mo490% above median
0Median: 1.3M2.5M+

Funding Rounds

Series B$52M

2024

Investors:

Series A$25M

2024

Investors:

Cite This Data

According to AI-Buzz, Fireworks AI ranks #24 in AI Infrastructure for HN discussion share (out of 75 tracked with 0.6% of HN discussion), with 20% positive developer sentiment (10 HN comments analyzed), with 7,446,063 PyPI downloads in 30 days, with 4 active contributors in 30 days.

Source: https://www.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 →

About

Description

Fast and efficient generative AI inference platform

Estimated Company Size

250 - 500 employees

Details

Founded

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.

Open Source

135
Stars
36
Forks
ActiveJupyter Notebook
Last commit: 0 days ago
View on GitHub →

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Weekly AI Intelligence

Which AI companies are developers actually adopting? We track npm and PyPI downloads for 262+ companies. Get the biggest shifts weekly — before they show up in the news.