{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-linkedin","slug":"linkedin","name":"LinkedIn","type":"product","url":"https://www.linkedin.com/company/wordware/","page_url":"https://unfragile.ai/linkedin","categories":["productivity"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"inactive","verified":false},"capabilities":[{"id":"awesome-linkedin__cap_0","uri":"capability://memory.knowledge.professional.network.profile.management.and.visibility.optimization","name":"professional network profile management and visibility optimization","description":"LinkedIn enables users to create, maintain, and optimize professional profiles that serve as persistent digital identities within a global professional network. The platform uses algorithmic ranking of profile completeness (headline, summary, experience, skills, endorsements) to surface profiles in search results and recruiter queries, with real-time indexing of profile updates across the network graph. Profile visibility is controlled through privacy settings that determine who can view contact information, activity, and connection lists.","intents":["I need to build a professional online presence that recruiters and hiring managers can discover","I want to control what information is visible to different audience segments (recruiters vs. peers vs. public)","I need to understand how complete my profile is and what sections are missing to improve discoverability"],"best_for":["Job seekers and career changers building visibility with recruiters","Professionals establishing thought leadership and industry credibility","Hiring managers and recruiters searching for candidates with specific skills"],"limitations":["Profile ranking algorithm is opaque — no direct control over search result positioning beyond completeness signals","Real-time indexing has variable latency (typically 24-48 hours for full propagation across network)","Privacy controls are binary per section — no granular field-level visibility rules"],"requires":["LinkedIn account with verified email","Basic profile information (name, headline, location)","Active internet connection for real-time updates"],"input_types":["text (profile headline, summary, experience descriptions)","image (profile photo, banner image)","structured data (job titles, dates, companies, skills)"],"output_types":["searchable profile record in LinkedIn's index","profile visibility metrics (profile views, search appearances)","structured profile data (JSON/API format for third-party integrations)"],"categories":["memory-knowledge","professional-identity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_1","uri":"capability://search.retrieval.recruiter.targeted.candidate.search.and.filtering.with.skill.based.matching","name":"recruiter-targeted candidate search and filtering with skill-based matching","description":"LinkedIn provides recruiters with a search interface that indexes candidate profiles across multiple dimensions (skills, experience, location, education, industry) and returns ranked results using a relevance algorithm that weights keyword matches, profile completeness, and network proximity. The search supports boolean operators, saved searches, and filter combinations (e.g., 'Python + Machine Learning + San Francisco + 5+ years experience'). Behind the scenes, LinkedIn maintains inverted indices on skills, job titles, and companies to enable sub-second query response times across billions of profile attributes.","intents":["I need to find candidates with specific technical skills and experience levels for a role I'm hiring for","I want to save and reuse search criteria across multiple hiring cycles without rebuilding filters each time","I need to identify passive candidates who aren't actively job hunting but match our requirements"],"best_for":["Recruiting teams and talent acquisition professionals managing high-volume hiring","Hiring managers conducting targeted searches for specialized roles (engineering, data science, product)","Staffing agencies and executive search firms building candidate pipelines"],"limitations":["Search results are limited to profiles with sufficient completeness — candidates with minimal profile data may not appear","Boolean search operators have limited nesting depth and don't support all logical combinations","Relevance ranking is not customizable — recruiters cannot weight certain criteria (e.g., prioritize recent experience over total years)"],"requires":["LinkedIn Recruiter or LinkedIn Recruiter Lite subscription","Recruiter account with hiring team permissions","Target job titles, skills, or company names to search"],"input_types":["text (skill names, job titles, company names, keywords)","structured filters (location, years of experience, education, industry)","boolean operators (AND, OR, NOT)"],"output_types":["ranked list of candidate profiles with match scores","candidate contact information and profile summaries","saved search configurations (reusable search templates)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_10","uri":"capability://text.generation.language.influencer.and.thought.leadership.content.amplification.with.follower.engagement","name":"influencer and thought leadership content amplification with follower engagement","description":"LinkedIn enables users to build follower bases by publishing articles and posts that are distributed through the feed algorithm based on engagement signals. Influencers and thought leaders with large follower bases receive algorithmic amplification — their content is shown to more users in the feed, and LinkedIn promotes their content through notifications and recommendations. The platform provides analytics on content performance (impressions, engagement rate, follower growth) and enables creators to understand what content resonates with their audience. Influencer content is indexed and ranked in LinkedIn's feed algorithm using engagement signals (likes, comments, shares) and creator authority (follower count, engagement rate).","intents":["I want to build a following and establish myself as a thought leader in my industry","I need to understand what content resonates with my audience and optimize my posting strategy","I want to amplify my content reach and build influence within my professional network"],"best_for":["Professionals building personal brands and thought leadership","Content creators and writers seeking audience growth","Executives and leaders establishing industry visibility"],"limitations":["Algorithm favors engagement-bait content (controversial posts, polarizing takes) over substantive content","Follower growth is slow for new creators — requires consistent posting and engagement to build initial audience","Content reach is limited to LinkedIn's network — no syndication to other platforms or external distribution"],"requires":["LinkedIn account with profile","Consistent content publishing (articles, posts, updates)","Engagement with audience (responding to comments, engaging with other content)"],"input_types":["text content (articles, posts, updates)","rich media (images, videos, documents)","engagement signals (likes, comments, shares from audience)"],"output_types":["published content in LinkedIn feed","follower growth metrics","content performance analytics (impressions, engagement rate, click-through rate)","audience insights (follower demographics, engagement patterns)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_2","uri":"capability://planning.reasoning.content.feed.curation.and.algorithmic.ranking.with.engagement.signals","name":"content feed curation and algorithmic ranking with engagement signals","description":"LinkedIn's feed algorithm ranks content (posts, articles, job updates, company news) for each user based on a multi-factor model incorporating engagement history (likes, comments, shares on similar content), network proximity (connections vs. second-degree contacts), content recency, and creator authority. The algorithm uses collaborative filtering to identify content patterns similar to what the user has engaged with previously, combined with graph-based ranking that boosts content from highly-connected users. Feed ranking is personalized per user and updated in near-real-time as new content is published and engagement signals accumulate.","intents":["I want to see relevant professional content and industry updates from my network without manually searching","I need to understand what content resonates with my audience so I can optimize my posting strategy","I want to discover new connections and opportunities based on content I engage with"],"best_for":["Professionals seeking curated industry news and thought leadership content","Content creators and thought leaders optimizing for reach and engagement","Recruiters and business development professionals discovering opportunities through content interactions"],"limitations":["Algorithm is opaque — users cannot directly control ranking factors or see why specific content appears","Feed ranking favors engagement-bait content (controversial posts, polarizing takes) over substantive content","Algorithmic ranking creates filter bubbles — users primarily see content aligned with past engagement patterns"],"requires":["LinkedIn account with active network (minimum 10-20 connections for meaningful feed)","Regular engagement history (likes, comments, shares) to train personalization model","Active internet connection for real-time feed updates"],"input_types":["user engagement signals (likes, comments, shares, dwell time on posts)","network graph (connections, second-degree contacts, followed creators)","content metadata (post text, hashtags, creator profile, publication time)"],"output_types":["ranked feed of posts and articles personalized per user","engagement metrics (likes, comments, shares, impressions per post)","content recommendations based on engagement patterns"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_3","uri":"capability://tool.use.integration.direct.messaging.and.conversation.threading.with.read.receipts.and.typing.indicators","name":"direct messaging and conversation threading with read receipts and typing indicators","description":"LinkedIn's messaging system enables one-to-one and group conversations with persistent message history, read receipts (showing when messages are read), typing indicators (showing when someone is composing), and message search across conversation threads. Messages are stored in a distributed database indexed by conversation ID and timestamp, enabling quick retrieval of message history and search across all conversations. The system supports rich text formatting, file attachments, and link previews, with real-time synchronization across multiple devices (web, mobile, desktop app).","intents":["I need to communicate directly with recruiters, hiring managers, or potential collaborators without sharing personal contact information","I want to maintain a searchable history of professional conversations for reference and follow-up","I need to know when my message has been read so I can follow up appropriately"],"best_for":["Job seekers communicating with recruiters and hiring managers","Professionals building relationships and discussing opportunities","Sales and business development professionals managing client conversations"],"limitations":["Message search is limited to conversation threads — no full-text search across all messages","Typing indicators and read receipts can be disabled per user, reducing real-time feedback","Group messaging is limited to 100 participants and lacks advanced features (pinned messages, message reactions)"],"requires":["LinkedIn account with connection to message recipient (or premium InMail for non-connections)","Active internet connection for real-time messaging","Recipient must have messaging enabled in privacy settings"],"input_types":["text (message body)","rich formatting (bold, italic, links)","file attachments (documents, images)","link previews (auto-generated from URLs)"],"output_types":["message record in conversation thread","read receipt (timestamp when message was read)","typing indicator (real-time notification of composition)","conversation history (searchable message archive)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_4","uri":"capability://automation.workflow.job.posting.and.applicant.tracking.with.candidate.pipeline.management","name":"job posting and applicant tracking with candidate pipeline management","description":"LinkedIn enables employers to post job openings that are distributed to relevant candidates based on their profile data (skills, experience, location, job preferences). The platform provides an applicant tracking system (ATS) that collects applications, allows hiring teams to screen and rank candidates, and tracks candidates through pipeline stages (applied, reviewed, interviewed, offered, hired). Job postings are indexed and ranked in LinkedIn's job search results using relevance signals (job title match, candidate location, experience level), and LinkedIn's algorithm suggests relevant candidates to apply based on profile matching.","intents":["I need to post a job opening and reach qualified candidates without managing external job boards","I want to track applicants through our hiring pipeline and collaborate with hiring team members on candidate evaluation","I need to understand which job postings are attracting the most qualified candidates and optimize our job descriptions"],"best_for":["Small to mid-size companies building hiring processes without dedicated ATS","Hiring managers and recruiters managing single or multiple open roles","Companies wanting integrated job posting and candidate discovery in one platform"],"limitations":["ATS features are basic compared to dedicated platforms (Greenhouse, Lever) — limited custom fields, workflows, and integrations","Job posting distribution is limited to LinkedIn's network — doesn't syndicate to external job boards","Candidate matching algorithm is opaque — no control over which candidates are suggested to apply"],"requires":["LinkedIn Company Page with admin access","LinkedIn Recruiter or LinkedIn Jobs subscription","Job posting with title, description, location, and required qualifications"],"input_types":["job posting details (title, description, requirements, location, salary range)","candidate applications (resume, cover letter, profile data)","hiring team feedback (ratings, notes, stage transitions)"],"output_types":["published job posting in LinkedIn job search","applicant list with candidate profiles and application data","pipeline view showing candidates by stage (applied, reviewed, interviewed, etc.)","job posting analytics (views, applications, applicant quality metrics)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_5","uri":"capability://memory.knowledge.learning.and.course.recommendation.with.skill.based.content.discovery","name":"learning and course recommendation with skill-based content discovery","description":"LinkedIn Learning (integrated with LinkedIn's main platform) recommends courses and educational content based on user profile data (current skills, job title, industry), engagement history (courses completed, topics viewed), and career goals. The recommendation engine uses collaborative filtering to identify courses similar to what users with similar profiles have completed, combined with content-based filtering that matches course topics to user skills and career trajectory. Courses are indexed by skill tags, difficulty level, and industry relevance, enabling skill-based discovery and personalized learning paths.","intents":["I want to discover courses that will help me develop skills relevant to my current role or career transition","I need personalized learning recommendations based on my profile and career goals","I want to track my skill development and see how courses I complete align with industry demand"],"best_for":["Professionals seeking continuous learning and skill development","Career changers identifying skill gaps for target roles","Managers and HR teams recommending learning paths to employees"],"limitations":["Course library is limited compared to platforms like Coursera or Udemy — fewer niche topics and specialized courses","Recommendations are based on aggregate user behavior — may not account for individual learning preferences or learning styles","Skill-based recommendations require profile completeness — users with minimal skill data receive generic recommendations"],"requires":["LinkedIn account with profile data (job title, skills, industry)","LinkedIn Learning subscription (included with LinkedIn Premium)","Engagement history (courses viewed or completed) for personalized recommendations"],"input_types":["user profile data (job title, skills, industry, experience level)","engagement history (courses completed, topics viewed, time spent)","career goals (target job titles, desired skills)"],"output_types":["personalized course recommendations","learning paths (sequences of courses for skill development)","course completion certificates and skill badges","skill endorsements based on course completion"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_6","uri":"capability://automation.workflow.company.page.management.and.employee.advocacy.with.content.distribution","name":"company page management and employee advocacy with content distribution","description":"LinkedIn enables companies to create and manage company pages that serve as a hub for company information, job postings, company news, and employee content. Company pages support content posting (articles, updates, videos) that are distributed to followers and appear in the feeds of employees and connections. The platform provides analytics on page engagement (followers, content reach, engagement rate) and enables employee advocacy features where employees can share company content to their personal networks, amplifying reach beyond the company's direct followers. Content from company pages is indexed and ranked in LinkedIn's feed algorithm based on engagement signals and follower network size.","intents":["I need to build a company brand presence on LinkedIn and communicate with potential employees and customers","I want to amplify company content by enabling employees to share it to their networks","I need to track how company content is performing and understand what resonates with our audience"],"best_for":["Marketing and employer branding teams building company presence","HR and recruiting teams using company pages to attract talent","Communications teams managing company news and thought leadership"],"limitations":["Company page reach is limited to LinkedIn's network — content doesn't syndicate to other platforms","Content distribution relies on follower count and engagement signals — new company pages with few followers have limited organic reach","Employee advocacy features require manual sharing — no automatic distribution or scheduling of employee shares"],"requires":["LinkedIn Company Page with admin access","Company profile information (industry, company size, location, description)","Content to post (text, images, videos, articles)"],"input_types":["company information (name, industry, size, location, description)","content (text posts, articles, videos, images)","employee profiles (for advocacy features)"],"output_types":["published company page with follower base","distributed content in follower feeds and employee networks","engagement metrics (followers, content reach, engagement rate, click-through rate)","employee advocacy metrics (shares, reach amplification)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_7","uri":"capability://search.retrieval.network.growth.and.connection.recommendations.with.mutual.connection.visibility","name":"network growth and connection recommendations with mutual connection visibility","description":"LinkedIn recommends new connections to users based on profile similarity (shared skills, industry, location), mutual connections (people you both know), and engagement patterns (people who viewed your profile or engaged with your content). The recommendation engine uses collaborative filtering to identify users with similar network patterns and graph-based algorithms to find high-value connections (people who could introduce you to opportunities). The platform displays mutual connections between two users, enabling relationship building through existing network bridges. Connection requests can include personalized messages, and users can see who has viewed their profile.","intents":["I want to grow my professional network with relevant connections in my industry","I need to identify people who could introduce me to opportunities or collaborators","I want to understand how I'm connected to someone before reaching out to them"],"best_for":["Professionals building their network and seeking career opportunities","Sales and business development professionals identifying prospects and warm introductions","Recruiters expanding their network to reach passive candidates"],"limitations":["Connection recommendations are based on aggregate patterns — may not account for specific relationship goals or industry niches","Mutual connection visibility is limited to direct connections — no visibility into second or third-degree paths","Profile view notifications can be disabled, reducing visibility into who is interested in your profile"],"requires":["LinkedIn account with profile data (skills, industry, location, experience)","Existing network (minimum 5-10 connections for meaningful recommendations)","Active engagement (profile views, content engagement) to train recommendation model"],"input_types":["user profile data (skills, industry, location, experience, education)","network graph (existing connections, mutual connections)","engagement signals (profile views, content engagement, connection request patterns)"],"output_types":["personalized connection recommendations","mutual connection information (people you both know)","profile view notifications (who viewed your profile)","connection request with personalized message"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_8","uri":"capability://data.processing.analysis.salary.and.compensation.data.aggregation.with.role.based.benchmarking","name":"salary and compensation data aggregation with role-based benchmarking","description":"LinkedIn Salary (integrated with LinkedIn's main platform) aggregates anonymized salary data from user profiles and provides salary ranges for specific job titles, locations, companies, and experience levels. The data is crowdsourced from LinkedIn users who voluntarily report their compensation, combined with third-party salary data sources. Salary ranges are calculated using statistical aggregation (median, percentiles) and filtered by relevant dimensions (company size, industry, location, years of experience). Users can search for salary data by job title and location, and the platform provides benchmarking data to help users understand market rates for their role.","intents":["I want to understand the market salary range for my role and location before negotiating compensation","I need to benchmark my current salary against industry standards to identify if I'm being underpaid","I want to research salary expectations for a target role or location before applying for jobs"],"best_for":["Job seekers and career changers researching compensation expectations","Professionals negotiating salary increases or job offers","HR and compensation teams benchmarking internal salaries against market rates"],"limitations":["Salary data is based on voluntary user reporting — may be biased toward higher earners or specific industries","Data granularity is limited by sample size — niche roles or locations may have insufficient data for reliable ranges","Salary data is anonymized and aggregated — no visibility into individual company compensation practices"],"requires":["LinkedIn account","Job title, location, and company (optional) to search salary data","LinkedIn Salary feature availability (varies by region)"],"input_types":["job title (e.g., 'Software Engineer', 'Product Manager')","location (city, state, country)","company (optional, for company-specific salary data)","experience level (years of experience or seniority level)"],"output_types":["salary range (median, 25th percentile, 75th percentile)","salary distribution by experience level","company-specific salary data (if available)","salary trends over time (historical salary data)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-linkedin__cap_9","uri":"capability://memory.knowledge.skill.endorsement.and.verification.with.social.proof.signals","name":"skill endorsement and verification with social proof signals","description":"LinkedIn enables users to add skills to their profiles and receive endorsements from connections, creating a social proof signal that validates claimed skills. The endorsement system allows connections to endorse skills with a single click, and users can see which connections endorsed each skill. LinkedIn's algorithm ranks endorsed skills by frequency of endorsements and displays the most-endorsed skills prominently on user profiles. The platform also provides skill assessments (quizzes) that users can complete to earn verified skill badges, adding credibility to skill claims. Skill endorsements and assessments are indexed and used in recruiter searches and candidate matching algorithms.","intents":["I want to highlight my most relevant skills on my profile and get social proof that I have those skills","I need to verify my skills with assessments to stand out to recruiters","I want to see which of my skills are most valued by my network and industry"],"best_for":["Job seekers highlighting relevant skills to recruiters","Professionals building credibility in new skill areas","Career changers demonstrating skills for target roles"],"limitations":["Endorsements are not verified — anyone can endorse any skill, reducing credibility compared to verified assessments","Skill assessment coverage is limited — only 500+ skills have available assessments, and many niche skills lack assessments","Endorsement gaming is possible — users can exchange endorsements with connections, inflating skill credibility"],"requires":["LinkedIn account with profile","Skills added to profile (manually entered)","Connections to receive endorsements from","Optional: completion of skill assessments for verified badges"],"input_types":["skill names (e.g., 'Python', 'Project Management', 'Data Analysis')","skill assessments (quizzes testing skill knowledge)","endorsements from connections (one-click validation)"],"output_types":["skill list on profile with endorsement counts","verified skill badges (from completed assessments)","skill ranking (most-endorsed skills displayed first)","skill endorsement notifications (when connections endorse skills)"],"categories":["memory-knowledge","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":21,"verified":false,"data_access_risk":"high","permissions":["LinkedIn account with verified email","Basic profile information (name, headline, location)","Active internet connection for real-time updates","LinkedIn Recruiter or LinkedIn Recruiter Lite subscription","Recruiter account with hiring team permissions","Target job titles, skills, or company names to search","LinkedIn account with profile","Consistent content publishing (articles, posts, updates)","Engagement with audience (responding to comments, engaging with other content)","LinkedIn account with active network (minimum 10-20 connections for meaningful feed)"],"failure_modes":["Profile ranking algorithm is opaque — no direct control over search result positioning beyond completeness signals","Real-time indexing has variable latency (typically 24-48 hours for full propagation across network)","Privacy controls are binary per section — no granular field-level visibility rules","Search results are limited to profiles with sufficient completeness — candidates with minimal profile data may not appear","Boolean search operators have limited nesting depth and don't support all logical combinations","Relevance ranking is not customizable — recruiters cannot weight certain criteria (e.g., prioritize recent experience over total years)","Algorithm favors engagement-bait content (controversial posts, polarizing takes) over substantive content","Follower growth is slow for new creators — requires consistent posting and engagement to build initial audience","Content reach is limited to LinkedIn's network — no syndication to other platforms or external distribution","Algorithm is opaque — users cannot directly control ranking factors or see why specific content appears","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.25,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"inactive","updated_at":"2026-06-17T09:51:03.577Z","last_scraped_at":"2026-05-03T14:00:10.321Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=linkedin","compare_url":"https://unfragile.ai/compare?artifact=linkedin"}},"signature":"PePowTsQnStGYWjgKokyIdFLM3c5q2+7LBTohCQjXlM7r3uN5Pxfgpuzfcm1N/Gt+c/WYeggO/Z0Hmx5iwYoAg==","signedAt":"2026-06-20T23:40:35.013Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/linkedin","artifact":"https://unfragile.ai/linkedin","verify":"https://unfragile.ai/api/v1/verify?slug=linkedin","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}