We are a yet to be a company of established freelancers (Delhi based) in the space of AI Automations - we want to reach out to different clients through marketing channels like instagram, facebook and LinkedIn. We are searching for reliable entry level video editors who could turn raw videos into lead magnets, are open to learn and looking to grow long term with us. As established freelancers, we'll also teach you how to grow your own freelancing business even with limited skills. If that sounds something you want to persue, please email me at darshtayal8@gmail.com

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:

How to do API rate limiting in n8n.please share your experiences.

Hi guys...i´m getting crazy. I have a client who asked about some chat automations. The "normal" ones: whatsapp, telegram...but then I crossed to WeChat. Wtf. That app has an API, but it is too difficult to read and understand. Has anyone ever made an automation to wechat? Thanks

Experience with either ⚡Frontend: - Next.js (typescript) (React.js is ok) - Tailwind Or ⚡Backend: - Puppeteer (Javascript library)