I collected 25 Boolean search tricks on LinkedIn. Most people don't know about these Here are the ones you should master: 𝟭. 𝗨𝘀𝗲 𝗔𝗡𝗗 𝘁𝗼 𝗙𝗶𝗻𝗱 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 Search "AI AND marketing" to show both skills. 𝟮. 𝗨𝘀𝗲 𝗢𝗥 𝘁𝗼 𝗘𝘅𝗽𝗮𝗻𝗱 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 "Designer OR developer" casts a wider net. 𝟯. 𝗨𝘀𝗲 𝗡𝗢𝗧 𝘁𝗼 𝗘𝘅𝗰𝗹𝘂𝗱𝗲 "Consultant NOT agency" filters noise. 𝟰. 𝗨𝘀𝗲 𝗤𝘂𝗼𝘁𝗲𝘀 𝗳𝗼𝗿 𝗘𝘅𝗮𝗰𝘁 𝗣𝗵𝗿𝗮𝘀𝗲𝘀 "Content strategist" shows exact matches only. 𝟱. 𝗣𝗮𝗿𝗲𝗻𝘁𝗵𝗲𝘀𝗲𝘀 𝗳𝗼𝗿 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗦𝗲𝗮𝗿𝗰𝗵𝗲𝘀 "(CEO OR founder) AND AI" groups logic correctly. 𝟲. 𝗦𝗲𝗮𝗿𝗰𝗵 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗧𝗶𝘁𝗹𝗲 𝗢𝗻𝗹𝘆 Use title:CEO to avoid past titles. 𝟳. 𝗙𝗶𝗻𝗱 𝗣𝗲𝗼𝗽𝗹𝗲 𝗯𝘆 𝗣𝗮𝘀𝘁 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 "past:Microsoft" helps you find alumni fast. 𝟴. 𝗖𝗼𝗺𝗯𝗶𝗻𝗲 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 + 𝗣𝗮𝘀𝘁 "company:Google OR past:Meta" expands reach. 𝟵. 𝗧𝗮𝗿𝗴𝗲𝘁 𝗦𝗲𝗻𝗶𝗼𝗿𝗶𝘁𝘆 "title:(director OR VP)" finds leaders instantly. 𝟭𝟬. 𝗘𝘅𝗰𝗹𝘂𝗱𝗲 𝗖𝗲𝗿𝘁𝗮𝗶𝗻 𝗧𝗶𝘁𝗹𝗲𝘀 "marketer NOT (intern OR junior)" removes noise. 𝟭𝟭. 𝗦𝗲𝗮𝗿𝗰𝗵 𝗯𝘆 𝗖𝗶𝘁𝘆 𝗼𝗿 𝗥𝗲𝗴𝗶𝗼𝗻 "location:London" filters to one region. 𝟭𝟮. 𝗙𝗶𝗻𝗱 𝗥𝗲𝗺𝗼𝘁𝗲 𝗧𝗮𝗹𝗲𝗻𝘁 "remote OR distributed" inside profile keywords. 𝟭𝟯. 𝗧𝗮𝗿𝗴𝗲𝘁 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗖𝗶𝘁𝗶𝗲𝘀 "location:(NYC OR SF OR LA)" finds multi-city talent. 𝟭𝟰. 𝗖𝗼𝗺𝗯𝗶𝗻𝗲 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻 + 𝗧𝗶𝘁𝗹𝗲 "title:engineer AND location:Berlin" tightens focus. 𝟭𝟱. 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 Search "5+ years" or "senior" to avoid beginners. 𝟭𝟲. 𝗧𝗮𝗿𝗴𝗲𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗣𝗲𝗼𝗽𝗹𝗲 "AWS certified" finds credential holders. 𝟭𝟳. 𝗙𝗶𝗻𝗱 𝗠𝘂𝗹𝘁𝗶𝗹𝗶𝗻𝗴𝘂𝗮𝗹 𝗣𝗿𝗼𝗳𝘀 "Fluent in Spanish OR French" filters globally. 𝟭𝟴. 𝗦𝗲𝗮𝗿𝗰𝗵 𝗧𝗼𝗼𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 "Salesforce AND HubSpot" finds platform pros. 𝟭𝟵. 𝗨𝘀𝗲 𝗔𝘀𝘁𝗲𝗿𝗶𝘀𝗸𝘀 "market*" finds marketing, marketer, markets. 𝟮𝟬. 𝗙𝗶𝗻𝗱 𝗣𝗘𝗢𝗽𝗹𝗲 𝗢𝗽𝗲𝗻 𝘁𝗼 𝗥𝗼𝗹𝗲𝘀 "hiring OR # opentowork" surfaces active seekers. 𝟮𝟭. 𝗙𝗶𝗻𝗱 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗖𝗿𝗲𝗮𝘁𝗼𝗿𝘀 "newsletter OR podcast OR YouTube" finds creators. 𝟮𝟮. 𝗙𝗶𝗻𝗱 𝗔𝗹𝘂𝗺𝗻𝗶 "school:(Harvard OR Stanford OR MIT)" groups alumni. 𝟮𝟯. 𝗦𝗲𝗮𝗿𝗰𝗵 𝗕𝘆 𝗦𝗸𝗶𝗹𝗹 𝗖𝗼𝗺𝗯𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀 "Python AND 'machine learning'" finds ML engineers. 𝟮𝟰. 𝗙𝗶𝗻𝗱 𝗥𝗲𝗰𝗲𝗻𝘁 𝗝𝗼𝗯 𝗖𝗵𝗮𝗻𝗴𝗲𝘀 "new position OR I'm happy to announce" finds movers. 𝟮𝟱. 𝗦𝗲𝗮𝗿𝗰𝗵 𝗝𝗼𝗯 𝗦𝗲𝗲𝗸𝗲𝗿𝘀 "# opentowork OR seeking" shows active candidates.

University admissions. 1,200 transcripts annually. Manual entry consuming 900 hours. Built n8n workflow. Zero manual transcription. Perfect accuracy. THE ADMISSIONS PROBLEM: Every incoming transcript requiring manual processing. Coordinator downloads PDF from email attachment. Opens admissions system. Types student details into database. Enters institution information manually. Transcribes all courses individually - course codes, course names, credit hours, letter grades, semester completed. 15-30 courses per transcript average. Each course typed manually. Manual GPA verification against transcript calculation. Academic honors notation if present. Verification status determination based on transcript type. 45 minutes per transcript. 1,200 transcripts annually. 900 hours consumed. Quality audit revealed 14.8% error rate. Course entry typos. GPA calculation mistakes. Overlooked academic honors. Inconsistent verification flagging across coordinators. THE n8n AUTOMATION: 7-node workflow with 3-branch verification routing: Node 1 - Gmail Trigger: Monitors transcript emails Node 2 - Get Email: Downloads attachment Node 3 - Prepare Binary: Formats document Node 4 - Extract Data: Pulls student info, courses, grades, GPA, honors Node 5 - Analyze Transcript: Calculates metrics, categorizes performance Node 6 - Log Database: Updates tracking Node 7-9 - Verification Routing: Routes to verification check OR unverified path EXTRACTION: Student - name, ID, DOB, email Institution - name, address, registrar Degree - program, major, minor, dates Courses - code, name, credits, grade, semester, year (all courses) Academic - credits attempted/earned, GPA, honors Metadata - type (official/unofficial), date, signature ANALYSIS: Total courses count Completion rate percentage GPA categorization (Exceptional/Excellent/Good/Fair) Academic standing (Dean's List/Good Standing/Probation) Grade distribution summary Verification evaluation (official + student ID) VERIFICATION LOGIC: