Computing-focused link aggregation community
Lobsters (lobste.rs) earns a Brand Analyzer score of 69 out of 100, placing it in the Developing tier among Technology brands, Media & Entertainment brands. Among 9683 Technology brands analyzed, Lobsters ranks in the 50th percentile (category average 69, leader 97). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 88/100, Digital Presence 76/100, Visual Identity 89/100, Messaging Clarity 100/100, Trust Foundation 57/100, AI Discoverability 61/100, Brand Authority 38/100.
Lobsters (lobste.rs) is a computing-focused community centered around link aggregation and discussion. It is a social news website focused on computer engineering. The platform serves as a specialized community for technology professionals and enthusiasts to share and discuss computing-related links with high-quality discussion. It positions itself as a curated, computing-focused alternative to general link aggregation sites with emphasis on technical depth and community quality. Lobsters was founded in 2012 and falls under the categories of Technology and Media & Entertainment.
| Brand Name | Lobsters |
|---|---|
| Domain | lobste.rs |
| Industry | Technology, Media & Entertainment |
| Founded | 2012 |
| Main Competitors | Hacker News, Reddit (83/100), Slashdot (93/100), Digg (91/100) |
Moz Domain Authority 50/100 vs category average 29 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #49,629 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
Lobsters appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "A computing-focused community centered around link aggregation and discussion." (No meta description. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, X (Twitter), Instagram; no detected presence on LinkedIn, Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Lobsters scores 42/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Lobsters has a limited AI-visibility profile at 42/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (64/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #49,629 (Tranco) and a Moz Domain Authority of 50/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Lobsters offers a community platform for link aggregation and discussion focused on computing topics.
Sources: Lobsters official site
Lobsters (lobste.rs) is a computing-focused community centered around link aggregation and discussion. It is described as a social news website focused on computer engineering.
Sources: Lobsters official site
Lobsters operates as a specialized community platform for technology professionals and enthusiasts to share and discuss computing-related links with high-quality discussion.
Sources: Lobsters official site
Lobsters's main competitors include Hacker News, Reddit (83/100), Slashdot (93/100), Digg (91/100). These companies compete in the Technology space for similar customers, offering comparable products or services.
Sources: Lobsters official site
Lobsters and Slashdot are competitors in Technology. Brand Analyzer scores Lobsters at 69/100 and Slashdot at 93/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Lobsters official site
Lobsters is known as a curated, computing-focused alternative to general link aggregation sites with emphasis on technical depth and community quality.
Sources: Lobsters official site
Popular alternatives to Lobsters include Hacker News, Reddit (83/100), Slashdot (93/100), Digg (91/100). Each is an established option in the Technology space; the best fit depends on your specific needs, budget, and required features.
Sources: Lobsters official site
Lobsters is used by technology professionals, developers, and computing enthusiasts seeking quality technical discussions and curated content.
Sources: Lobsters official site
Lobsters has limited AI-search visibility, scoring 42/100 on Brand Analyzer's AI visibility composite (visibility 43, trust 22, recommendation 64). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Lobsters official site
Lobsters was founded in 2012. Lobsters operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Lobsters scores 64/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Lobsters official site
Lobsters can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Lobsters official site
Ranked closest to Lobsters: LMNTRIX (69/100), LiveXchange (69/100), Locofy.ai (69/100), Locusview (69/100).
A step up - brands to learn from: Zocket (71/100), Zircuit (71/100).
Category leader: Accenture (97/100).