Company research
Data as of June 10, 2026
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Meilisearch
Open-source search engine with typo tolerance and AI-powered ranking
AI SearchFounded 2018#3 of 13 in AI Search
Updated June 10, 2026
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Company profile
What is Meilisearch?
Meilisearch develops an open-source, lightning-fast search engine designed for developers, featuring typo-tolerance and AI-powered ranking. It provides a highly relevant and customizable search experience, enabling applications to deliver instant and accurate results. Its focus on speed, relevance, and developer-friendliness positions it as a key player in the AI search ecosystem, offering an alternative to traditional search solutions.
History
Research history
7 research updates
History
Research history
Ai Search
Meilisearch: GitHub commits decreased 36.1% over the last 30 days
LatestAi Search
Meilisearch: GitHub commits decreased 39.1% over the last 30 days
2 metricsAi Search
Meilisearch: GitHub commits decreased 37.9% over the last 30 days
2 metricsAi Search
Meilisearch: GitHub commits decreased 35.3% over the last 30 days
2 metricsAi Search
Meilisearch: GitHub commits decreased 33.3% over the last 30 days
2 metricsAi Search
Meilisearch: GitHub commits decreased 42.9% over the last 30 days
2 metricsAi Search
Meilisearch: GitHub commits decreased 40.2% over the last 30 days
2 metricsLatest company data
Primary data point
Package downloads (30d)Metric: npm downloadsSource: npm registryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 36h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors.Methodology →Metric: PyPI downloadsSource: PyPI BigQueryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors; pypistats is fallback only.Methodology →
2.5M/30d
- npm
- 1.9M
- PyPI
- 622.8K
Tracked packages: npm meilisearch; PyPI meilisearch
▼ -2%npm + PyPI: Updated 2d ago
Other data points
Dependent projectsMetric: npm dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct and dev dependents.Methodology →Metric: PyPI dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct reverse dependencies from PyPI.Methodology →
257
- npm
- 206
- PyPI
- 51
Projects depending on tracked packages: npm meilisearch; PyPI meilisearch
npm + PyPI: Updated 1d ago
GitHub starsMetric: GitHub starsSource: GitHub GraphQL + GH ArchiveScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Stars are bookmarks, not usage.Methodology →
58.0K
Main repository stars
Updated 1d ago
Hacker NewsMetric: Hacker News mentionsSource: Hacker News Algolia APIScope: UTC activity dayUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Search relevance and historical availability come from Algolia's HN index.Methodology →
6/30d
Position #7 in category discussion
Updated 1d ago
Repository health
Maintenance data from the main open-source repository.
Key-person riskSource: GitHub public event dataUpdates: WeeklyCaveat: Minimum developers needed for half of recent code changes. Lower = higher concentration risk.Methodology →
2
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to Meilisearch.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
1.1K0%
About Meilisearch
Meilisearch develops an open-source, lightning-fast search engine designed for developers, featuring typo-tolerance and AI-powered ranking. It provides a highly relevant and customizable search experience, enabling applications to deliver instant and accurate results. Its focus on speed, relevance, and developer-friendliness positions it as a key player in the AI search ecosystem, offering an alternative to traditional search solutions.
FoundersClément Renault, Samuel Berthe
Funding
$22M · 3 roundsRaised $22M total. Category position #3 of 13 in AI Search.
Series A2023
$15MFelicis
Seed2021
$5MCRV
Seed2020
$2MLocalGlobe, Seedcamp
Investors
CRVFelicisLocalGlobeSeedcamp
Tracked packages (2)
1 npm, 1 PyPI
meilisearch
npmMain npm packagemeilisearch
Open-source search engine with typo tolerance and AI-powered ranking
meilisearch
PyPIMain PyPI packagemeilisearch
Open-source search engine with typo tolerance and AI-powered ranking