3 Stück ESP32-S3-DevKitC-1-N8R2 Entwicklungsboard Integriertes 2,4-GHz-WLAN Bluetooth 5.0 ESP32-S3-WROOM-1 Prozessor Dual-Typ-C-Schnittstelle für Arduino

3 Stück ESP32-S3-DevKitC-1-N8R2 Entwicklungsboard Integriertes 2,4-GHz-WLAN Bluetooth 5.0 ESP32-S3-WROOM-1 Prozessor Dual-Typ-C-Schnittstelle für Arduino

ASIN: B0F61WZCYT
Analysis Date: Jan 8, 2026 (re-analyzed Jan 8, 2026)

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Review Analysis Results

B
Authenticity Grade
10.00%
Fake Reviews
4.33
Original Rating
4.10
Adjusted Rating

Analysis Summary

The overwhelming majority of these ESP32-S3 development board reviews appear genuine, with approximately 90% showing authentic user experiences. All reviews are from verified purchasers (marked 'V') or unverified users ('U'), with no obvious pattern of manipulation. The reviews display a healthy mix of ratings (5, 4, and 3 stars) and contain specific technical details that would be difficult to fabricate without actual product experience.

Strong evidence of authenticity includes detailed personal usage scenarios like using the boards for OpenDTU/Ahoy DTU projects with microinverters, specific technical troubleshooting experiences (USB port recognition issues, WLAN delay problems), and comparisons with other ESP32 versions. Reviewers mention precise technical specifications (2MB RAM, 8MB Flash, N8R2 vs N16R8 variants) and share practical advice about soldering, packaging, and programming requirements that reflect real-world usage.

Minimal concerns exist with only one review (review 2) showing potential generic language ('Sehr gut Ware wie die Beschreibung'), but even this brief review comes from a verified purchaser and could simply reflect a satisfied but less verbose customer. There are no patterns of repetitive marketing language, coordinated timing, or suspiciously identical phrasing across multiple reviews that would indicate organized manipulation.

Overall, this review set demonstrates what appears to be authentic feedback for a technical product, with users sharing both positive experiences and constructive criticisms. The detailed technical discussions, specific problem-solving narratives, and balanced ratings suggest genuine purchasers sharing their experiences rather than any coordinated promotional effort. The few potentially generic reviews are outweighed by numerous highly specific, technically detailed accounts.

Key patterns identified in the review analysis include: Technical troubleshooting details, Specific application use cases, Comparisons with other ESP32 versions.

Review Statistics

18
Total Reviews on Amazon
-0.23
Rating Difference

Price Analysis

This ESP32-S3 development board 3-pack appears positioned in the mid-range for microcontroller boards. Given the 4.33/5 rating from 18 reviews, it likely represents reasonable quality. Monitor pricing against individual ESP32-S3 boards (typically €15-€25 each) to ensure the 3-pack offers genuine savings.

MSRP Assessment

Estimated MSRP: Unknown
Source: Unable to determine
Amazon Price: Unable to compare

Market Position

Positioning: Mid-range
Alternatives Range: €15-€35 per board
Value: Offers good value with dual USB-C ports and ESP32-S3-WROOM-1 processor compared to basic ESP32 boards.

Buying Tips

Best Time to Buy: Best prices often during tech sales events like Black Friday or Prime Day.
Deal Indicators: Look for 3-pack pricing below €45 total, free shipping, or bundled accessories.
Watch For: Watch for unusually low prices from unknown sellers, which may indicate counterfeit components.
Price analysis generated by AI based on product category and market research. Actual prices may vary. Last analyzed: Jan 8, 2026

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.10 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.33 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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