BS Identity and Score for OpenTSDB

AI-powered evaluation using the Model Context Optimization BS Detection Framework, based solely on publicly available website content.

B
BS Level
Software, SaaS & Tech Products
33.2 Avg BS

Based on 1130 businesses audited.

BS Detector

Software, SaaS & Tech Products BS: OpenTSDB (opentsdb.net)

https://opentsdb.net 📍 Industry: Software, SaaS & Tech Products
9 BS / 100

This is a rare example of a 0% bullshit technical resource that has unfortunately succumbed to temporal decay. It provides exact technical specs for its stack without a single marketing adjective, making it a high-substance, low-noise artifact of its era.

Info Density Power-words vs. Substance ratio.
0
0% BS
Semantic Coherence Homepage promise vs. Sub-page reality.
0
0% BS
Trust & Proof Verifiable evidence vs. Trust Theatre.
2
10% BS
Commodity Fingerprint Detection of industry clichés/templates.
1
7% BS
Identity & Authority Expert verifiability & Schema depth.
6
40% BS

Implement Organization and SoftwareApplication schema to improve the technical footprint in modern search. Update the News section or homepage with a 2026 status report to indicate whether the project is in maintenance mode or active development. Include a link to a ‘Benchmarks’ page that provides raw data for the ‘millions of writes’ claim to move it from a technical assertion to a verified fact.

Info Density Power-words vs. Substance ratio.
0 Impact Weight: 30 / 100
0% BS

The information density is exceptionally high with a near-zero fluff-to-substance ratio. Headings like H3 Store and H3 Scale lead immediately into concrete technical specifications such as ‘millisecond precision’ and ‘Hadoop and HBase’ integration. There are no instances of power-word saturation; every claim is tied to a specific technical protocol or capability.

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Semantic Coherence Homepage promise vs. Sub-page reality.
0 Impact Weight: 20 / 100
0% BS

There is no detected semantic drift between the homepage and sub-pages. The homepage H1 ‘The Scalable Time Series Database’ is directly supported by the Documentation page which provides granular details on the HTTP API, Storage, and CLI Tools. The messaging remains strictly technical and consistent across the hierarchy.

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Trust & Proof Verifiable evidence vs. Trust Theatre.
2 Impact Weight: 20 / 100
10% BS

Trust theatre is absent as the site makes no attempt to use unverified logos or ‘trusted by’ banners. While the review_count and proof_links_count are 0, the site provides direct links to the source code on GitHub, which serves as the primary proof path for open-source software. No ‘G2 Leader’ or other badges are used to mask a lack of substance.

The proof density is high, favoring technical documentation over social proof. Out of the 1100 characters on the homepage, over 40% are dedicated to release dates and specific version numbers (2.3.2, 2.4.0, 2.4.1). The documentation index provides a exhaustive list of functional modules, representing a high level of verifiable product existence.

For a high volume editorial domain example, open the Search Engine Journal Semantic HTML audit. View the SEJ Semantic HTML Audit to see how template drift and structural noise impact AI chunking.

Commodity Fingerprint Detection of industry clichés/templates.
1 Impact Weight: 15 / 100
7% BS

The site avoids almost all industry clichés and value_prop_cliches. The use of ‘scalable’ is used in a technical context (adding nodes to HBase) rather than as a generic marketing buzzword. It does not use any template-style ‘Why Choose Us’ or ‘All-in-one’ messaging common in SaaS marketing.

Identity & Authority Expert verifiability & Schema depth.
6 Impact Weight: 15 / 100
40% BS

Authority gaps exist primarily due to the absence of modern structured data (schema_json is null) and the stale nature of the content. With a system date of 2026, the most recent news update from 2021-09-02 (2.4.1 release) suggests a project that is either mature and stable or effectively abandoned. No individual experts are named in Person schema to establish modern authorship.

The performance claims are bold (‘millions of writes per second’) but are grounded in the known capabilities of the underlying Hadoop/HBase stack. However, there is a minor disconnect as there are no direct links to reproducible benchmark reports or live status pages to verify these claims against the 2026 temporal anchor. The tone remains functional and academic rather than hyperbolic.

Software, SaaS & Tech Products BS: OpenTSDB (opentsdb.net)

BS: 9/ 100

The site is a perfect match for the Software & Tech Products category. The content is exclusively focused on the technical architecture, deployment, and operation of a distributed time series database.

Every retrieval error rooted in "wrong page surfaced" begins with one failure: unstable URL identity. Read the URL & Canonical Technical Guide to learn how consistent paths and canonical alignment preserve semantic cohesion.

“The score of 9 is driven almost entirely by the Identity and Authority pillar, specifically the missing schema data and the stale nature of the release evidence (older than 36 months). The first four pillars scored near zero due to the total absence of marketing fluff and the high degree of technical specificity.”

To understand and learn thinking like AI, visit our educational environment (OpenTSDB example) that uses the same data this audit was generated from, and try it yourself.
Verified Analysis Date: May 25, 2026 © 1EuroSEO Independent Evaluator — Non-Sponsored Result
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