Company research
As of May 18, 2026
Hacker News mentions decreased 62.5% over the last 30 days. Hacker News is discussion volume, not adoption.
Category
Transcription
6 company pages · updated May 29, 2026
Transcription: 8.2M/30d downloads and 146 public importing repos across 6 company pages.
- Companies
- 6
- Downloads
- 8.2M/30d
- Code usage
- 146
- Funding
- $333M
Company research
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Recent company research in Transcription.
Overview
What stands out now
AssemblyAI: Hacker News mentions decreased 62.5% over the last 30 days. Deepgram is another strong current data point in the category.
Trend charts start at May 22, 2026 when historical category data is available.
Trends
Historical category data
View:
Hacker News discussion
Historical Hacker News discussion recorded for this category over time.
30-day trend↑ +1.4%
HN Mentions grew from 72 to 73 (+1.4%) over the last 30 days.
Source: Algolia HN Search API | Methodology | CC-BY-NC 4.0
View data table
| Date | hn mentions |
|---|---|
| Feb 16, 2026 | 72 |
| Mar 18, 2026 | 77 |
| Apr 17, 2026 | 64 |
| May 17, 2026 | 67 |
| May 22, 2026 | 73 |
Disclosed funding
Cumulative disclosed funding raised by companies in this category over time.
30-day trend
Total Funding remained stable at $333M over the last 30 days.
Source: Public records | Methodology | CC-BY-NC 4.0
View data table
| Date | funding |
|---|---|
| Feb 16, 2026 | $333M |
| Mar 18, 2026 | $333M |
| Apr 17, 2026 | $333M |
| May 17, 2026 | $333M |
| May 22, 2026 | $333M |
Company pages
Company pages in Transcription
Company pages with current public data in this category. The full table shows each metric.
#1
Deepgram: 5.0M/30d downloads; 134 importing repositories.
#2
AssemblyAI
#2 of 6 in Transcription
Speech AI platform. Transcription, summarization, and audio analysis.
AssemblyAI: 3.1M/30d downloads; 12 importing repositories.
Gladia: 29.0K/30d downloads.
Fireflies.ai: $19M disclosed funding.
Otter.ai: $63M disclosed funding.
Rev: $37M disclosed funding.
Category data
Company data
Default sort shows category position inside Transcription. The availability row shows how many company pages currently have each metric. Unavailable means no public data is shown for that company metric.
Metric availability
Company pages with data shown
- Position
- 3 / 6
- Adoption score
- 3 / 6
- Downloads
- 3 / 6
- Code usage
- 3 / 6
- Hiring
- 6 / 6
- Funding
- 6 / 6
| Deepgram Speech-to-text API. Fast and accurate transcription for developers. | #1 | 56 | 5.0M | 134 | 0 | $86M |
| AssemblyAI Speech AI platform. Transcription, summarization, and audio analysis. | #2 | 53 | 3.1M | 12 | 0 | $108M |
| Gladia Enterprise speech-to-text API with speaker diarization | #3 | 28 | 29.0K | 0 | 0 | $20M |
| Fireflies.ai AI meeting assistant that transcribes and summarizes calls. | Unavailable | Unavailable | Unavailable | Unavailable | 0 | $19M |
| Otter.ai AI meeting assistant for real-time transcription and summaries | Unavailable | Unavailable | Unavailable | Unavailable | 0 | $63M |
| Rev AI-powered transcription, captioning, and subtitling services | Unavailable | Unavailable | Unavailable | Unavailable | 0 | $37M |
Rows link to company pages. Methodology explains downloads, public code usage, hiring, and funding.
Questions
Common questions
Which Transcription AI companies have current public data?
Current company pages in Transcription include Deepgram (#1 of 6 in Transcription), AssemblyAI (#2 of 6 in Transcription), and Gladia (#3 of 6 in Transcription). Company pages include downloads, code usage, hiring, and funding data.
How much public adoption shows up in Transcription?
Across 6 company pages, current public data shows 8.2M package downloads per month, 374 known dependents, and 146 public importing repos. Data availability varies by company, so detail pages show what is present for each one.
How much funding have Transcription AI companies raised?
Transcription AI companies disclose $333M in combined funding across 6 companies with known rounds.
How much developer discussion shows up for Transcription?
The current data includes 73 Hacker News mentions across 3 companies in Transcription. Discussion is context, not the lead metric.
Where do I start with Transcription?
Notable data points: Deepgram shows the most downloads and Deepgram shows the most code usage. The full table shows whether the category is concentrated or broad.
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