Challenge
Finding promising Blockchain‑Projects is a time‑consuming task. The first step is to filter the projects for credibility, transparency and compliance, before you start evaluating the business model, revenue streams and other fundamentals. Those initial checks can easily take 1 – 3 hours, with an estimated failure rate of 70 – 90 percent. An automated filtering system with scores and recommendations lets you focus on promising projects and skip scams.
Workflow
Main parts of the automation
- Data extraction
- Website analysis
- White paper analysis
- Analysis merge & report generation
A trigger scenario starts the website crawler in Apify. I enter the project URL on my website (or via a form, Google Sheet, etc.) which then fires a webhook.
Available reports
- Project overview – company info, socials, category, score and recommendations
- Project conclusion – wrap‑up of findings with pro / con section
- Website report – all information discovered on the website
- White paper report – all information discovered in the white paper
- Project report – combined website + white‑paper findings
Processing time: ~10 minutes, including the first Apify call from the trigger scenario.
Analysis criteria (25 total)
Grouped into three pillars:
Transparency
Covers team information, the problem being solved, proposed solution, token‑economics and more.
Verification
Covers partnerships, media mentions and external audits to verify the project through third parties.
Compliance
Covers imprint, imprint completeness, regulatory aspects, etc.
Target audience
- Blockchain consultants
- Institutional investors
- Project launch pads
- Private investors
- Content creators on the topic
- Publications on the topic
Add‑ons
Separate scenarios can be triggered via HTTPS request, e.g. a Twitter channel analysis or deep‑search company verification.
Feedback
I hope you like the automation and I’m glad to hear your thoughts, critiques and improvement proposals.