Adept leads in job demand with 1 mentions. Updated daily with live metrics.
Data sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, job boards. Methodology →
Adept: 412 GitHub stars, $415M funded vs
DeepSeek: 86.1K npm + PyPI downloads/mo, 102.3K GitHub stars, 148 dependents
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources. Methodology →
DeepSeek leads across 5 of 6 key metrics
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
HN Mentions (30d)
Momentum (0-100)
For production adoption: DeepSeek is depended on by 148 packages. DeepSeek has 86.1K package downloads per month.
For growth trajectory: DeepSeek has 102.3K GitHub stars versus 412 for Adept. DeepSeek received 11 Hacker News mentions in the last 30 days compared to 2 for Adept.
For longevity/risk: Adept has raised $415M in total disclosed funding. Adept's most recent round was Series B. Adept operates in AI Agents while DeepSeek focuses on Foundation Models.
DeepSeek leads on developer adoption with 86.1K monthly package downloads. Adept has 412 GitHub stars. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.
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| Metric | Updated Mar 21 | Updated Mar 21 |
|---|---|---|
| Website | adept.ai → | deepseek.com → |
| Description | AI agent company building general-purpose AI assistants. | AI research lab building open-source reasoning and code models |
| Data Confidence Source: AI-BuzzUpdates: DailyNote: Composite score (0-100) based on field completeness, metric freshness, and identifier coverage. Higher = more reliable data.Methodology → | Excellent (84%) No packages tracked | Excellent (91%) |
| Signal Coverage Source: AI-BuzzUpdates: DailyNote: Number of non-null adoption metrics tracked. Companies with more signals have more reliable composite scores.Methodology → | 2/7 metrics | 4/7 metrics |
| Total Disclosed Funding Source: Public records / manual researchUpdates: WeeklyMethodology → | $415M | - |
| Last Funding | Series B Mar 2023 | - |
| Developer Adoption | ||
| Momentum | 37Moderate | 48Moderate✓ |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | - | 86.1K |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | - | 0 |
| Total Downloads - npm + PyPI (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | Not tracked | 86.1K✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | 0✓ | 0 |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependentsMethodology → | - | 148 |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | - | 0 |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary categoryMethodology → | 6.3% of HN mentions | 2.9% of HN mentions |
| Status | Acquired | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: DailyMethodology → | 2 | 11✓ |
| HN Mentions Trend (30d) | ||
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by nameMethodology →Exclusive | 0 | 8✓ |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyMethodology →Exclusive | 1✓ | 1 |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicatorMethodology → | 412 | 102.3K✓ |
| Founded | 2022 | 2023 |
| Primary Category | ||
| Data Last Updated | ||
Data sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, job boards. Methodology →
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Which AI companies are developers actually adopting? We track npm and PyPI downloads for hundreds of companies. Get the biggest shifts delivered weekly.
Compare metric trends across companies over time
Comparing npm Downloads over 30 days: DeepSeek (86.1K).
Source: npm registry | Methodology | CC BY 4.0
| Date | Adept | DeepSeek |
|---|---|---|
| Mar 13 | - | 51.8K |
| Mar 20 | - | 0 |
| Mar 21 | - | 86.1K |
