graph.one ist ein KI-gestütztes persönliches CRM, das Ihnen hilft, Ihr berufliches Netzwerk zu kartieren, zu durchsuchen und zu nutzen. Es synchronisiert sich mit Ihrer E-Mail und Ihrem Kalender, um automatisch einen Beziehungs-Graphen zu erstellen, der es Ihnen ermöglicht, die richtigen Personen durch natürliche Sprachsuche zu finden und die wärmsten Vorstellungspfade aufzudecken.
Tapt ist eine Networking-Lösung der nächsten Generation, die traditionelle Visitenkarten aus Papier durch NFC-fähige digitale Visitenkarten ersetzt. Sie ermöglicht es Benutzern, sofort Kontaktinformationen zu teilen, Leads zu erfassen und Verbindungen über ein anpassbares digitales Profil zu verwalten. Tapt ist sowohl für Einzelpersonen als auch für Teams konzipiert, lässt sich in gängige CRMs integrieren und bietet robuste Analyse- und Sicherheitsfunktionen.
Produktübersicht
graph.one Produktübersicht
graph.one ist ein KI-gestütztes persönliches CRM, das Ihnen hilft, Ihr berufliches Netzwerk zu kartieren, zu durchsuchen und zu nutzen. Es synchronisiert sich mit Ihrer E-Mail und Ihrem Kalender, um automatisch einen Beziehungs-Graphen zu erstellen, der es Ihnen ermöglicht, die richtigen Personen durch natürliche Sprachsuche zu finden und die wärmsten Vorstellungspfade aufzudecken.
Tapt Produktübersicht
Tapt ist eine Networking-Lösung der nächsten Generation, die traditionelle Visitenkarten aus Papier durch NFC-fähige digitale Visitenkarten ersetzt. Sie ermöglicht es Benutzern, sofort Kontaktinformationen zu teilen, Leads zu erfassen und Verbindungen über ein anpassbares digitales Profil zu verwalten. Tapt ist sowohl für Einzelpersonen als auch für Teams konzipiert, lässt sich in gängige CRMs integrieren und bietet robuste Analyse- und Sicherheitsfunktionen.
Detailed feature comparison
| Feature | graph.one | Tapt |
|---|---|---|
| Hauptkategorie | Beziehungsmanagement | Branding |
| Hinzugefügt | 2025-08-02 | 2025-08-09 |
| Preismodell | Kostenlos | Kostenpflichtig |
| Offizielle Website | graph.one | tapt.io |
| Produkttyp | Website | Website |
| Performance data | ||
| Nutzerbewertung | Nicht verifiziert | Nicht verifiziert |
| Kommentare | 0 | 0 |
| Monatliche Besuche | 449 | 51.7K |
| Monatliches Wachstum | -54.7% | 43.5% |
| Favoriten | 99 | 97 |
| Details | Details ansehen | Details ansehen |
graph.one vs Tapt monthly traffic
Compare graph.one and Tapt by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the graph.one vs Tapt monthly traffic comparison, graph.one currently shows 449 visits and Tapt shows 51.7K; Tapt has about 115.2 times the visible traffic of graph.one, an absolute difference of about 51.3K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
graph.one monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 387 Monatliche Besuche
- 2026/1: 2.9K Monatliche Besuche
- 2026/2: 2K Monatliche Besuche
- 2026/3: 550 Monatliche Besuche
- 2026/4: 992 Monatliche Besuche
- 2026/5: 449 Monatliche Besuche
Top-Regionen
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 100% | 449 |
Suchbegriffe
Tapt monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 38K Monatliche Besuche
- 2026/1: 51.3K Monatliche Besuche
- 2026/2: 108.9K Monatliche Besuche
- 2026/3: 71.5K Monatliche Besuche
- 2026/4: 36K Monatliche Besuche
- 2026/5: 51.7K Monatliche Besuche
Top-Regionen
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 38.53% | 19.9K |
| 🇦🇺Australia | 34.86% | 18K |
| 🇬🇧United Kingdom | 11.73% | 6.1K |
| 🇮🇳India | 10.54% | 5.5K |
| 🇵🇭Philippines | 4.34% | 2.2K |
Traffic-Quellen
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 73.39% | 37.9K |
| Verweis | 17.24% | 8.9K |
| 9.37% | 4.8K |
Suchbegriffe
Usage comparison
Compare the core capabilities of graph.one and Tapt
graph.one Core features
Tapt Core features
Use cases
graph.one Use cases
Tapt Use cases
graph.one vs Tapt:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth graph.one vs Tapt comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. graph.one is primarily listed under “Beziehungsmanagement”, while Tapt is primarily listed under “Branding”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (graph.one: Beziehungsmanagement; Tapt: Branding); Pricing (graph.one: Free; Tapt: Paid); Monthly visits (graph.one: 449; Tapt: 51.7K); Monthly growth (graph.one: -54.7%; Tapt: 43.5%); Favorites (graph.one: 99; Tapt: 97). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the graph.one vs Tapt monthly traffic comparison, graph.one currently shows 449 visits and Tapt shows 51.7K; Tapt has about 115.2 times the visible traffic of graph.one, an absolute difference of about 51.3K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Tapt first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
graph.one and Tapt currently overlap in shared categories: Netzwerken und Lead-Generierung; shared tags: Kontaktverwaltung und Lead-Generierung. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
graph.one's unique categories/tags are Beziehungsmanagement, KI-Suche, CRM, Netzwerkanalyse, Professionelles Networking, Startup-Tools und Risikokapital; Tapt's are Branding, CRM-Integration, digitale Visitenkarte, Networking-Tool, NFC-Karte, Vertriebstool, Nachhaltiges Geschäft und virtuelle Visitenkarte. 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
graph.one has no verified rating, 0 comments, 99 favorites, and 104 likes;Tapt has no verified rating, 0 comments, 97 favorites, and 102 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate graph.one first
Put graph.one on the priority trial list when the task aligns with “Beziehungsmanagement” and especially Beziehungsmanagement, KI-Suche, CRM, Netzwerkanalyse, Professionelles Networking und Startup-Tools. This follows recorded positioning and does not imply unlisted capabilities are absent.
graph.one also currently records: pricing is free, product type is website, 449 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 Tapt first
Put Tapt on the priority trial list when the task aligns with “Branding” and especially Branding, CRM-Integration, digitale Visitenkarte, Networking-Tool, NFC-Karte und Vertriebstool. This follows recorded positioning and does not imply unlisted capabilities are absent.
Tapt also currently records: pricing is paid, product type is website, 51.7K 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.
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 graph.one and Tapt, 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.




