Analyzes blockchain-projects on credibility, transparency, and seriousness

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Shake hands and two climbers in the background that help each other.
Shake hands for trust and credibility

Find Credible Blockchain Projects with Ease

As the Web3 landscape evolves, new blockchain projects emerge rapidly, and regulations continue to tighten.

For investors, this means an increasing challenge:

Distinguishing promising ventures from risky or untrustworthy ones.

Without a structured evaluation process, navigating this space can be time-consuming and overwhelming.

That’s where web3analyzer makes a difference.

By leveraging automation, it streamlines the process of blockchain project credibility assessments and ensures you get fast, accurate, and unbiased insights.

How Does web3analyzer Work?

Instead of spending hours manually researching projects, web3analyzer does the heavy lifting for you. It evaluates key credibility factors, including:

Team Transparency – Are the founders and developers publicly identified?
Regulatory Compliance – Does the project adhere to relevant legal frameworks?
Partnerships & Collaborations – Are there credible connections with known organizations?

By analyzing these essential elements, web3analyzer provides clear, structured, and data-driven insights, allowing you to make informed decisions confidently.

Why Choose web3analyzer?

In today’s Web3 environment, credibility and compliance are more critical than ever.

Regulatory bodies are increasing scrutiny, and investors need tools they can trust.

With web3analyzer, you benefit from:

Time-Saving Automation – No need to manually analyze websites and white papers.
Objective & Transparent Scoring – No speculation, only data-backed insights
Investor-Focused Approach – Designed specifically to help make smarter decisions.

Make Confident Decisions

The blockchain space is full of opportunities—but also risks.

With so many projects launching every day, it’s easy to get lost in marketing hype or misleading claims.

Rather than guessing, why not use a structured, automated approach?

With web3analyzer, you can:

Save countless hours by letting automation handle research
Get structured, fact-based credibility reports in minutes
Reduce risk and focus on high-potential projects

Try web3analyzer today and take the guesswork out of Web3 investments!

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Who is?

Daniel Müller sitting at his desk

Daniel Müller

Started 2016 with Bitcoin, invested in several projects during ICO-hype 2017 and bought the first NFTs in 2019.

I am a certified Blockchain-Professional from Blockchain-Akademie Germany and a Certified Crypto Finance Expert certified by Hochschule für Wirtschaft Zurich.

Author of the book: Web3 The decentralized revolution.

Certificate CCFE Certified Crypto Finance Expert


Frequently asked Questions / FAQ

How do I have to interpret the reports?

The reports are expressing the findings on the website and the white paper. They show the found information. They don’t verify the provided data! The reports show how accurate the project is providing the information. Use the reports to separate the good from the bad projects. After you separated them, you must start with a more profound analysis of the good ones.

Why is my report still not visible?

All analyzes-requests are running in sequences. One analysis at the time. When the previous analysis is done, the next will start. If it takes longer than expected, your request is probably in the queue and waiting to be processed.

It can also be that the system runs in an error and stopped. In this case, your request will be forwarded as soon the error is solved.

Can I trust the reports?

Yes, but… the automation reaches an accuracy of 80 to 90%. It can only analyze the data found in the white paper and on the website. There is no possibility to check if the data is correct. E.g., the automation cannot check if the imprint data is real or fake. We only check the presence. In a later version, it might be possible to check some data and verify them.

Are there more updates in the pipeline?

Yes, there are additional checks in the pipeline. The next will be an analysis of the X/ Twitter account if there is one. We also work on the possibility to make research on imprint information, to verify the company’s existence. Other analysis, like smart-contract security and token information, are on the list.