Package pull
23.9M/30d
Across 9 of 13 tracked companies
Category read
AI-Buzz tracks 13 AI Search companies. Current signals are clearest in package pull, public code usage, and hiring demand. Current leaders include Tavily, Exa, and Typesense. The current snapshot covers 23.9M package downloads per month and 1.9K public importing repos.
Companies
13
Core companies in scope
Package pull
23.9M/30d
9 companies with registry activity
Public code
1.9K
5 companies with imports detected
Hiring
2/30d
2 companies with hiring mentions
Funding
$2.4B
10 companies with disclosed rounds
Lead signals
package pull, public code usage, and hiring demand are the clearest aggregate signals across AI Search right now.
Package pull
23.9M/30d
9 of 13 companies show registry usage; Tavily currently leads.
Public code
1.9K
5 companies show public imports; Meilisearch leads.
Hiring demand
2/30d
2 companies appear in tracked HN hiring posts; Tavily leads.
Reading
package pull and public code are the clearest category-wide signals right now.
Package pull
23.9M/30d
Across 9 of 13 tracked companies
Public code
1.9K
5 companies with imports detected
Hiring demand
2/30d
Across 2 companies in tracked hiring posts
Dependents
1.2K
Across 9 companies with downstream packages
Signal routes
Use the category summary to identify where the signal mix is strongest, then open the company pages behind it.
DAI leader
Tavily
DAI 60
Tavily currently leads the overall signal read in AI Search.
Public code leader
Meilisearch
DAI 54
Meilisearch has the widest public import footprint.
Funding leader
Perplexity
DAI 39
Perplexity has the deepest disclosed funding history in this group.
Research brief
Browse Research Briefs for AI Search
Use the latest published brief for the market claim, then open the company pages that reinforce or challenge it.
Open research →Company routes
These cards surface the strongest signal mixes, then link straight into the company pages with the underlying detail.
8.8M/30d package pull, 3 public repos, and 1/30d hiring mentions.
DAI
60
Package pull
8.8M/30d
Public code
3
Hiring
1/30d
8.3M/30d package pull, 154 dependents, and $22M funding.
DAI
57
Package pull
8.3M/30d
Dependents
154
Funding
$22M
2.5M/30d package pull, 400 public repos, and 212 dependents.
DAI
56
Package pull
2.5M/30d
Public code
400
Dependents
212
2.0M/30d package pull, 1.1K public repos, and 246 dependents.
DAI
54
Package pull
2.0M/30d
Public code
1.1K
Dependents
246
562.8K/30d package pull, 434 public repos, and 32 dependents.
DAI
44
Package pull
562.8K/30d
Public code
434
Dependents
32
1.7M/30d package pull, 1/30d hiring mentions, and 151 dependents.
DAI
39
Package pull
1.7M/30d
Hiring
1/30d
Dependents
151
2.8K/30d package pull, 3 public repos, and 1 dependents.
DAI
19
Package pull
2.8K/30d
Public code
3
Dependents
1
1.5K/30d package pull and 2 dependents.
DAI
17
Package pull
1.5K/30d
Dependents
2
26.6K/30d package pull, 2 dependents, and 6/30d HN mentions.
DAI
14
Package pull
26.6K/30d
Dependents
2
HN
6/30d
$765M funding and 22/30d HN mentions.
DAI
8
Funding
$765M
HN
22/30d
Trend lines
Total tracked HN mentions across companies in this category over time.
HN Mentions grew from 69 to 538 (+679.7%) over the last 30 days.
Source: Algolia HN Search API | Methodology | CC-BY-NC 4.0
| Date | hn mentions |
|---|---|
| Jan 31, 2026 | 69 |
| Mar 2, 2026 | 7 |
| Apr 1, 2026 | 595 |
| Apr 6, 2026 | 538 |
Cumulative disclosed funding raised by companies in this category over time.
Total Funding reached $2.8B over the last 30 days.
Source: Public records | Methodology | CC-BY-NC 4.0
| Date | funding |
|---|---|
| Jan 31, 2026 | $0 |
| Mar 2, 2026 | $1.3B |
| Apr 1, 2026 | $2.8B |
| Apr 6, 2026 | $2.8B |
Comparison table
Sort by the signal that matters most for this category: combined DAI, package pull, public code adoption, hiring demand, or funding depth.
| Company | DAI Score ▼ | Downloads (30d) | Public Code | Hiring | Funding |
|---|---|---|---|---|---|
| Tavily AI search API for developers. Real-time web search with citations. | 60 | 8.8M | 3 | 1 | - |
| Exa AI search engine for developers. Semantic search across the web. | 57 | 8.3M | - | - | $22M |
| Typesense Open-source search engine with vector search and AI features | 56 | 2.5M | 400 | - | $13M |
| Meilisearch Open-source search engine with typo tolerance and AI-powered ranking | 54 | 2.0M | 1.1K | - | $22M |
| Vespa Open-source serving engine for search, recommendation, and AI | 44 | 562.8K | 434 | - | $31M |
| Perplexity AI-powered search engine. Answer engine that cites sources. | 39 | 1.7M | - | 1 | $1.5B |
| Jina AI AI search and RAG platform. Neural search for semantic understanding. | 19 | 2.8K | 3 | - | $36M |
| Vectara Retrieval augmented generation platform for enterprise search and AI assistants. | 17 | 1.5K | - | - | - |
| Brave Search Privacy-first search engine with AI features. Independent index. | 14 | 26.6K | - | - | - |
| Glean Enterprise AI search. Finds information across company tools and documents. | 8 | - | - | - | $765M |
| You.com AI search engine with citations. Conversational search interface. | - | - | - | - | $45M |
| Phind AI search engine optimized for developer questions and code | - | - | - | - | $22M |
| Kagi Ad-free search engine with AI summarization features | - | - | - | - | $670K |
FAQ
The current DAI leaders in AI Search include Tavily (DAI 60), Exa (DAI 57), and Typesense (DAI 56). Use the company pages to inspect the package pull, public code, hiring, and funding signals behind those rankings.
Across 13 tracked companies, current public signals show 23.9M package downloads per month, 1.2K known dependents, 1.9K public importing repos, and 2 recent hiring mentions. Coverage is uneven by company, so the detail pages show which signals are actually present for each one.
AI Search AI companies disclose $2.4B in combined funding across 10 tracked companies with known rounds.
The current snapshot tracks 438 Hacker News mentions across 11 companies in AI Search. Discussion is supportive context rather than the lead signal.
Start with the strongest signal routes: Tavily leads package pull, Meilisearch leads public code usage, and Tavily leads hiring visibility. Then compare those companies against the full table to see whether the category is concentrated or broad.
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