# Qsafe (C9Lab) vs yBully

Qsafe (C9Lab) records 28,077 monthly visits with +242.1% month-over-month growth and Contact for Pricing pricing. yBully records 0 monthly visits with — growth and Free pricing.

| Metric | [Qsafe (C9Lab)](https://openaitools.app/tool/qsafe) | [yBully](https://openaitools.app/tool/ybully) |
| :--- | :--- | :--- |
| Website URL | https://www.c9lab.com | https://chromewebstore.google.com/detail/ybully/kkccgopbjoheebggcibgohiakeniobhb |
| Categories | AI Detector, AI Monitor, AI Content Detector, AI Social Media | AI Detector, AI Twitter, AI Text Classifier, AI Monitor |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 28,077 | 0 |
| MoM Growth Rate | +242.1% | — |
| Primary Market | Global | Global |
| Direct Visits | 10,829 | 0 |
| Review Score | 4.1 | 3.7 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Browser Extension |

## Qsafe (C9Lab)

Qsafe is one of the flagship products of C9Lab, a cybersecurity vendor focused on digital risk protection (DRP) and phishing simulation. Qsafe's job is external threat detection: it watches domains, mobile app stores, social media and dark web channels for signs that someone is impersonating your brand, then surfaces those threats with risk context instead of raw alerts. Typical findings include lookalike or typosquatted domains, phishing URLs, fake mobile apps, fraudulent listings and copycat social profiles.

Qsafe sits inside a wider C9Lab suite rather than standing alone. C9Pharos covers website security and uptime monitoring, C9Phish handles anti-phishing detection and employee phishing simulation training, and the free Business Risk Score (BRS) gives a quick external risk posture assessment. Together they cover brand protection, human risk, attack surface management and compliance reporting, and C9Lab offers an MSSP partner program so service providers can resell or white-label Qsafe and C9Phish from one multi-tenant console.

The platform is aimed at organisations rather than individuals: financial services, e-commerce, healthcare, technology, education and government are the highlighted verticals. Pricing is quote-based and requires contacting the vendor or booking a demo, which is typical for enterprise DRP tooling. Because detection, takedown and legal escalation are usually packaged together, buyers should ask about takedown SLAs and analyst involvement when evaluating it.

**Pricing & Plans:** Contact for pricing. C9Lab sells Qsafe through demos and quotes rather than published tiers, and offers an MSSP/white-label partner program for managed service providers.

- **Phishing and fake domain detection:** Monitors for phishing pages, lookalike and typosquatted domains, and other impersonation infrastructure aimed at your brand and customers.
- **Rogue app and social media monitoring:** Tracks app stores and social platforms for fake apps, impersonation profiles and fraudulent listings that abuse your identity.
- **Dark web monitoring:** Watches dark web channels for brand abuse, leaked credentials and mentions that signal upcoming fraud against your organisation.
- **Automated takedowns and incident response:** Provides takedown workflows for malicious content, backed by an analyst team for escalation and brand incident response.
- **Multi-tenant MSSP console:** Service providers can resell or white-label Qsafe alongside C9Phish from a single multi-tenant management console.

**Strengths:** Covers domains, apps, social media and dark web in one platform; Takedown workflows with analyst support, not just alerting; Part of a broader suite including website security and phishing simulation; Free Business Risk Score gives an instant external risk snapshot

**Limitations:** No published pricing, so evaluation requires a sales conversation; Enterprise-oriented: likely excessive and costly for small teams; Effectiveness depends heavily on takedown response times

[Profile (Markdown)](https://openaitools.app/tool/qsafe.md)

## yBully

yBully is a browser extension built to make Twitter/X a less hostile place. Once installed, it watches the tweets that load in your timeline, applies a machine-learning text classifier to each one, and marks anything that looks like cyberbullying. Flagged tweets are blurred or labelled so you can decide whether to view them, rather than being hit by them unexpectedly.

The extension also works on the posting side. Before you publish a tweet, yBully checks the draft against the same classifier and discourages or blocks you from sending content that reads as bullying. When the model gets it wrong you can report the tweet; those reports feed back into retraining, and a trust-score system lets reliable reporters contribute more directly to the dataset used for the next model update. The extension additionally keeps simple statistics about what it has caught for you.

The project remains a small, free, single-purpose tool. Its Chrome Web Store listing shows a modest user base, English-only interface, and no paid tier.

**Pricing & Plans:** Free to install and use; no paid plan is offered on the Chrome Web Store listing.

- **Timeline-wide bullying detection:** Every tweet that loads on Twitter/X is run through a machine-learning classifier that flags cyberbullying content across all pages.
- **Blur and label harmful tweets:** Tweets judged to be bullying are blurred or covered with a label so you can skip them instead of reading them by accident.
- **Post-time protection:** Draft tweets are checked before publishing, and the extension restricts you from sending content classified as bullying.
- **Report-and-retrain feedback loop:** Incorrectly predicted tweets can be reported, and the reports are fed back to improve the model over time.
- **Trust score and personal stats:** Earn a trust score as your reported tweets are approved, then use it to contribute training data directly, and review statistics on what was detected.

**Strengths:** Completely free with no account, subscription or upsell; Works passively in the timeline, so no manual copy-pasting of tweets; Covers both reading (detection) and writing (posting restrictions); Community reporting loop gives users a way to correct the model

**Limitations:** English-only interface and narrow scope, focused solely on Twitter/X; Publishing-side checks can block posts you consider innocent; Small user base and an update history that is not very recent

[Profile (Markdown)](https://openaitools.app/tool/ybully.md)

## Frequently Asked Questions

### How do Qsafe (C9Lab) and yBully compare in monthly traffic?

Qsafe (C9Lab) has 28,077 monthly visits, while yBully has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Qsafe (C9Lab) has a month-over-month growth rate of +242.1%; yBully has —.

### How does pricing compare?

Qsafe (C9Lab): Contact for Pricing. Contact for pricing. C9Lab sells Qsafe through demos and quotes rather than published tiers, and offers an MSSP/white-label partner program for managed service providers. yBully: Free. Free to install and use; no paid plan is offered on the Chrome Web Store listing.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Aura](https://openaitools.app/tool/aura-com) | 2,646,116 | -20.7% | Free Trial, Paid | All-in-one protection for your identity, credit, family, and devices | [.md](https://openaitools.app/tool/aura-com.md) |
| 2 | [Isgen AI Detector](https://openaitools.app/tool/isgen-ai) | 901,917 | +5.8% | Freemium | Multilingual AI detector with sentence-level insight | [.md](https://openaitools.app/tool/isgen-ai.md) |
| 3 | [Detecting-AI.com](https://openaitools.app/tool/detecting-ai-com) | 505,146 | +493% | Freemium, Paid | AI detector that highlights evidence, not just a score | [.md](https://openaitools.app/tool/detecting-ai-com.md) |
| 4 | [Vectra AI](https://openaitools.app/tool/vectra) | 150,359 | -1.1% | Contact for Pricing | See your enterprise the way attackers do — observe, understand, signal, and respond at AI speed | [.md](https://openaitools.app/tool/vectra.md) |
| 5 | [CommentGuard](https://openaitools.app/tool/commentguard-io) | 79,817 | -4.6% | Free Trial, Paid | AI comment moderation for Facebook and Instagram that protects ad conversion | [.md](https://openaitools.app/tool/commentguard-io.md) |
| 6 | [Gamma.AI](https://openaitools.app/tool/gamma-ai) | 71,636 | -26.2% | Contact for Pricing | AI-powered cloud DLP and security awareness training for SaaS environments | [.md](https://openaitools.app/tool/gamma-ai.md) |
| 7 | [Rulta](https://openaitools.app/tool/rulta-com) | 45,363 | -19.2% | Paid | DMCA takedowns and content protection for creators | [.md](https://openaitools.app/tool/rulta-com.md) |
| 8 | [Erasa.ai](https://openaitools.app/tool/erasa-ai) | 39,270 | +15.8% | Free Trial, Paid | AI-powered content protection, leak detection and DMCA takedowns | [.md](https://openaitools.app/tool/erasa-ai.md) |
| 9 | [Devi AI](https://openaitools.app/tool/ddevi-com) | 35,389 | -31.4% | Free Trial, Paid | Monitor social keywords, spot buying intent, and reach out with AI | [.md](https://openaitools.app/tool/ddevi-com.md) |
| 10 | [ExamOnline](https://openaitools.app/tool/examonline) | 31,644 | +25.9% | Contact for Pricing | Secure online exam software with AI-powered remote proctoring for high-stakes assessments. | [.md](https://openaitools.app/tool/examonline.md) |

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Source: https://openaitools.app/compare/qsafe-vs-ybully

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