© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Speech-to-text API. Fast and accurate transcription for developers.
Founded by: Scott Stephenson, Noah Shutty
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Deepgram ranks #1 in Transcription for HN discussion share (out of 6 tracked with 87.5% of HN discussion), with 62% positive developer sentiment (21 HN comments analyzed), with 1,218,704 npm downloads in 30 days, with 1,501,224 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/deepgram?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
Speech-to-text API. Fast and accurate transcription for developers.
Estimated Company Size
51 - 100 employees
Website
deepgram.comFounded
2015
Description
Deepgram provides fast speech-to-text API. Lower latency than competitors. Used by thousands of 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.
Package download volume indicates real-world adoption and integration into production projects.
A comprehensive suite of speech-to-text services for developers, offering highly accurate and low-latency transcription.
Deepgram's flagship speech-to-text model, known for its exceptional accuracy, speed, and ability to handle diverse audio inputs.
A text-to-speech API that generates natural, human-like voices from text, enabling real-time audio experiences.
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Package downloads and ecosystem metrics — 30-day window
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