Leverは、フル機能の応募者追跡システム(ATS)と堅牢な候補者関係管理(CRM)機能を組み合わせたAI搭載の採用プラットフォームです。あらゆる規模のチームのために、ソーシングやスクリーニングから面接、関係構築に至るまで、採用プロセス全体を合理化します。そのAIコンパニオン群は、タスクの自動化、偏見の軽減、最適な候補者の迅速な特定を支援します。
製品概要
Lever 製品概要
Leverは、フル機能の応募者追跡システム(ATS)と堅牢な候補者関係管理(CRM)機能を組み合わせたAI搭載の採用プラットフォームです。あらゆる規模のチームのために、ソーシングやスクリーニングから面接、関係構築に至るまで、採用プロセス全体を合理化します。そのAIコンパニオン群は、タスクの自動化、偏見の軽減、最適な候補者の迅速な特定を支援します。
TopDev 製品概要
TopDevは、開発者のGitHubプロフィールを分析することで、企業がトップクラスの開発者を採用するのを支援するAI搭載の採用プラットフォームです。技術スキル、信頼性、一貫性を評価して深い洞察を提供し、採用プロセスを合理化し、人事チームやスタートアップの大幅な時間節約を実現します。
Detailed feature comparison
| Feature | Lever | TopDev |
|---|---|---|
| 主要カテゴリー | タレントマネジメント | コード分析 |
| 追加日 | 2025-08-17 | 2025-08-11 |
| 価格 | 有料 | フリーミアム |
| 公式サイト | www.lever.co | www.topdev.online |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 11.8M | 3.5K |
| 月間成長率 | -7.4% | 未確認 |
| お気に入り | 107 | 98 |
| Details | 詳細を見る | 詳細を見る |
Lever vs TopDev monthly traffic
Compare Lever and TopDev by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Lever vs TopDev monthly traffic comparison, Lever currently shows 11.8M visits and TopDev shows 3.5K; Lever has about 3,392 times the visible traffic of TopDev, an absolute difference of about 11.8M visits. This reflects visible reach, not feature quality or paid users.
Only Lever has complete third-party traffic details; TopDev uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Lever monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 12.9M 月間訪問数
- 2026/1: 13.8M 月間訪問数
- 2026/2: 12.9M 月間訪問数
- 2026/3: 13.5M 月間訪問数
- 2026/4: 12.7M 月間訪問数
- 2026/5: 11.8M 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 68.35% | 8M |
| 🇮🇳India | 16.91% | 2M |
| 🇨🇦Canada | 6.68% | 786.3K |
| 🇬🇧United Kingdom | 5.35% | 629.7K |
| 🇫🇷France | 2.71% | 319K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 58.95% | 6.9M |
| 参照元 | 36.32% | 4.3M |
| Eメール | 4.73% | 556.7K |
検索キーワード
TopDev monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Lever and TopDev
Lever Core features
TopDev Core features
Use cases
Lever Use cases
TopDev Use cases
Lever vs TopDev:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Lever vs TopDev comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Lever is primarily listed under “タレントマネジメント”, while TopDev is primarily listed under “コード分析”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Lever: タレントマネジメント; TopDev: コード分析); Pricing (Lever: Paid; TopDev: Freemium); Monthly visits (Lever: 11.8M; TopDev: 3.5K); Favorites (Lever: 107; TopDev: 98); Website (Lever: www.lever.co; TopDev: www.topdev.online). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Lever vs TopDev monthly traffic comparison, Lever currently shows 11.8M visits and TopDev shows 3.5K; Lever has about 3,392 times the visible traffic of TopDev, an absolute difference of about 11.8M visits. This reflects visible reach, not feature quality or paid users.
Only Lever has complete third-party traffic details; TopDev uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Lever and TopDev currently overlap in shared categories: 採用; shared tags: AI採用、採用、HRテック. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Lever's unique categories/tags are タレントマネジメント、ワークフロー自動化、採用管理システム、ATS、候補者管理、CRM、人事、採用; TopDev's are コード分析、タレントソーシング、候補者ソーシング、開発者採用、GitHub 分析、技術審査. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Lever has no verified rating, 0 comments, 107 favorites, and 97 likes;TopDev has no verified rating, 0 comments, 98 favorites, and 106 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Lever first
Put Lever on the priority trial list when the task aligns with “タレントマネジメント” and especially タレントマネジメント、ワークフロー自動化、採用管理システム、ATS、候補者管理、CRM. This follows recorded positioning and does not imply unlisted capabilities are absent.
Lever also currently records: pricing is paid, product type is website, 11.8M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate TopDev first
Put TopDev on the priority trial list when the task aligns with “コード分析” and especially コード分析、タレントソーシング、候補者ソーシング、開発者採用、GitHub 分析、技術審査. This follows recorded positioning and does not imply unlisted capabilities are absent.
TopDev also currently records: pricing is freemium, product type is website, 3.5K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Lever and TopDev, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




