InfluenceOS
"Make Influencer Marketing Measurable."
Build a platform where brands can discover Instagram and YouTube creators, shortlist them, create campaigns, generate creator-wise tracking links, track performance, and get AI recommendations for the next campaign.
The Problem Statement
Brands still depend heavily on manual influencer marketing agencies. Discovery, shortlisting, pricing, tracking, and campaign reporting are scattered across spreadsheets, DMs, manual research, and guesswork. The goal is to build software that makes influencer marketing more searchable, measurable, and performance-driven.
What You Need To Build
Start with the core requirements, then layer advanced features and bonus innovations to stand out.
Must-Have
Minimum features required for a valid submission.
- Brand dashboard
- Creator database with minimum 100 creator records
- Instagram or YouTube creator profiles
- Search and filters by niche, followers/subscribers, language, location
- Creator comparison
- Campaign creation flow
- Creator-wise UTM/tracking link generator
- Dummy performance dashboard showing clicks, leads, sales, revenue, ROAS
- AI-generated campaign insight summary
Should-Have
Features that make the prototype stronger.
- Instagram + YouTube both supported
- 500+ creator records
- Creator Fit Score
- Brand Safety Score
- Fake Follower Risk indicator
- Campaign report page
- Creator shortlist export
Bonus
High-impact additions for standout teams.
- YouTube Data API integration
- Creator onboarding form
- AI price estimation
- Shopify/Razorpay-style webhook simulation
- Campaign report PDF export
- 1000+ creator records
- Brand and creator separate dashboards
Suggested User Flow
Discovery
Brand searches for 'Tech Reviewers in India'.
Shortlisting
Adds 3 creators to a 'Summer Launch' campaign.
Execution
Generates unique tracking links for each creator.
Reporting
Views real-time dashboard comparing which creator brought the most sales.
Expected Deliverables
- Working prototype
- GitHub repository
- README with setup instructions
- Demo video (max 3 minutes)
- Architecture diagram
- Dataset/API explanation
- Known limitations
Judging Criteria
Suggested Tech Stack
* These are suggestions only. You are free to use any modern stack you prefer.
Rules & Compliance
Students must not scrape private Instagram data, bypass login, collect private phone numbers, spam creators, or violate platform rules. Dummy/simulated data is allowed if clearly marked.
- Use original work
- Do not copy copyrighted assets
- Do not use unauthorized scraping
- Do not collect private data
- Mention all APIs/data sources
- Open-source allowed with credit
- AI tools allowed, but explain usage
InfluenceOS track FAQ
Direct answers about the challenge scope and expected prototype.
What is InfluenceOS?
InfluenceOS is an XE Labs Build Sprint 2026 challenge track for a creator discovery and campaign intelligence platform. The prototype should help a brand find Instagram or YouTube creators, compare profiles, create a campaign, generate creator-specific tracking links, and understand simulated performance through clear analytics and AI-assisted insights.
What should teams build in InfluenceOS?
Teams should build a working brand dashboard with a searchable creator dataset, useful filters, profile comparison, a campaign creation flow, unique tracking links, and a performance dashboard. The required prototype can use clearly labelled simulated data; judges care about product clarity, credible metrics, usable workflows, and responsible data practices.
Does InfluenceOS require private social-platform data?
No. Teams must not bypass logins, scrape private Instagram data, collect private contact details, or violate platform rules. Public, licensed, API-provided, or clearly simulated creator data is acceptable. Every submission should explain its data source, known limitations, and which metrics are real versus generated for demonstration.
Ready to build this track?
Strong submissions and finalists may be invited for paid internship interviews to continue production development under XE Labs.