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Swago.ai - An on-chain AI Reputation Layer #193

@bhawna-107

Description

@bhawna-107

Swago is a DeAI-powered reputation layer that transforms fragmented student/working professionals achievements into a verifiable on-chain reputation score. By aggregating coding activity, hackathons, certifications, and academic results, and evaluating them with AI, Swago creates a decentralized talent passport that unlocks jobs, grants, and startup funding.

We are building the world’s first AI + blockchain reputation ecosystem for students, enabling fair recognition, automated hiring, and entrepreneurship at scale.

Funding Request - $100K

Problem

  • Achievements across platforms like GitHub, LeetCode, hackathons, and certifications are fragmented and unverifiable.
  • Recruiters and protocols can’t trust resumes → blocked from jobs, grants, and funding.
  • Students lack meaningful peer networks and pathways to turn skills into opportunities.

Solution: The Swago Way

Flex It → Showcase Skills
Students connect GitHub, LeetCode, hackathons, and certifications. AI aggregates every activity into a single, verifiable profile. No more hidden work or fragmented achievements.

Rep It → Build On-Chain Reputation
By participating in hackathons, events, coding challenges, and leadership roles, students continuously boost their on-chain reputation. Swago’s DeAI engine evaluates consistency, quality, and impact of contributions, storing the score immutably on blockchain for recruiters and protocols.

Get Ahead → Unlock Opportunities
This reputation score becomes a talent passport that unlocks jobs, internships, grants, startup funding, and peer recognition. Students also find teams, form startups, and grow in Swago’s ecosystem.

Go-to-Market Plan

The global student and professional upskilling market is massive, with 3.16B+ learners worldwide (2.3B working professionals + 1B+ students). By 2030, the EdTech & Web3 talent market is projected to exceed $500B, driven by AI adoption, blockchain adoption, and the demand for verified skills.

Swago seeks to capture this market by becoming the first DeAI-powered student reputation protocol, reducing inefficiencies in hiring, funding, and peer learning, while empowering students with verifiable, on-chain achievements.

Our customer acquisition strategy focuses on three core archetypes, aligned with our platform features:

Product Archetype What They Want How We Get Them
Swago Hubs The Ambitious Student Build verifiable profiles, join hackathons, unlock jobs/grants - College Ambassadors
- Hackathon Partnerships
- Social Media Campaigns
Swago Recruit The Talent Seeker (Companies & Protocols) Access AI-matched, verified student profiles - Hiring Partnerships
- B2B Sales
- Web3 Job Portals
Swago Launch The Student Founder Crowdfunding, startup support, and milestone-driven guidance - Cohort Programs
- Incubator/Accelerator Tie-ups
- Token Incentives

Swago.ai AI Skill Graph

Every student/working professional activity is mapped into Swago’s 5 Core Pillars (S–W–A–G–O) and AI creates a dynamic skill graph that evolves as students learn and fragmented data becomes a holistic AI profile.

Pillar Weightage Meaning / Focus Example Platforms & Sources
S – Smart Tech 15% Skill & Credential Verification (coding skills, technical problem-solving) GitHub (repos, PRs), LeetCode (solves, contests), Codeforces, CodeChef, HackerRank
W – Willpower 15% Consistency (streaks, continuous effort, discipline) GitHub, LeetCode (streaks, activity calendar), Codeforces/CodeChef (regular participation)
A – Ambition / Entrepreneurship 40% Leadership, Initiative, Hackathons & Startup Milestones Devfolio, Devpost, HackerEarth (hackathon participation & wins), LinkedIn (leadership roles, projects), Startup incubators/accelerators
G – Growth / Confidence 15% Certifications, Community Engagement & Peer Participation Coursera, Credly (Certifications), Luma (events/workshops), LinkedIn (courses, endorsements)
O – Optimization 15% Academics, Internships & Real-World Experience LinkedIn (internships, GPA, projects), College Degrees, Internship Experience

Value Capture for the Secret Network Ecosystem

Swago is building a DeAI-powered reputation layer for students, directly aligned with the Secret Network’s vision of privacy, trust, and decentralization. By combining AI scoring with on-chain verification, Swago ensures that student reputations are secure, private, and universally verifiable.

  • Enhancing Data Trust & Privacy:
    Swago leverages Secret Network’s privacy-preserving smart contracts to store and validate sensitive student data (certifications, credentials, internships) in a secure manner. This creates a trusted framework for reputation management that cannot be manipulated.

  • Driving Adoption of Secret Network in Education & Talent:
    By onboarding millions of students and professionals into Web3 through Swago’s on-chain reputation scores, Secret Network becomes the backbone for credential verification and trust, expanding its utility beyond DeFi into the EduTech + Talent + AI economy.

  • Fostering Ecosystem Growth:
    Swago opens new use cases for Secret Network, including AI-driven recruitment, skill verification, and crowdfunding for student startups. This diversifies the Secret Network ecosystem beyond finance, attracting educational institutions, startups, and enterprises.

  • Token Utility & Network Effects:
    Swago Tokens integrate seamlessly with Secret Network, powering governance, staking, and access to opportunities. As adoption scales across students and recruiters, transaction volume and on-chain activity drive value back to the Secret ecosystem.

  • Active Community Engagement:
    Through College Hubs and Ambassador programs, Swago builds strong community nodes that educate students about Secret Network, creating the next generation of builders, contributors, and advocates within the ecosystem.

In summary: Swago strengthens Secret Network by introducing DeAI reputation scoring as a new trust primitive. It enhances privacy, drives adoption in education and hiring, expands ecosystem use cases, and creates strong community-led growth, positioning Secret Network as the foundation of the Web3 reputation economy.

On-Chain Revenue Streams:

  • Token Staking: Stake Tokens to access premium features (mentorship, cohorts, featured profiles).
  • Premium Services: Fees charged on every successful hiring, cohort enrollment, or crowdfunding deal.
  • Web3 Ads: Brands buy ad space with Swago Tokens; Ads target students by skills & interests.
  • Token Minting & Sales: Tokens sold via private/public sales or DEX listings to raise funds & provide liquidity.
  • AI-Driven Analytics: Employers pay for AI insights on user skills & reputation.
  • Token Rewards: Students earn tokens for learning, events, mentoring, or joining projects.
  • Events & Hackathons: Web3 protocols & companies sponsor hackathons, workshops, and events.

Product Tech Roadmap

Phase 1: Foundation (0–3 Months)

  • Data Infrastructure → Build APIs & scrapers for GitHub, LeetCode, Hackathons, Credly, LinkedIn.
  • Reputation Score (AI v1) → Train base AI model to calculate skill-weighted reputation.
  • Fraud Detection Layer → Early AI checks for fake certificates, spam, or profile manipulation.
  • On-Chain Anchoring → Push verified raw data + early scores on-chain for transparency.
  • Student Dashboard (Beta) → Students log in to view scores, badges, and their first on-chain reputation passport.

Phase 2: AI Features Rollout (3–6 Months)

  • Skill Gap Identifier AI → Personalized AI suggestions for upskilling & course recommendations.

  • AI-Driven Matchmaking →
    Recruiters post roles → Swago AI parses requirements.
    AI recommends best-fit candidates with verifiable skills.
    Students get fair, merit-based visibility.

  • Recruiter Dashboard (Beta) → Early version for recruiters to test AI-based hiring.

Phase 3: Decentralized AI Compute (6–9 Months)

  • Distributed Compute Nodes → Run reputation scoring on decentralized nodes for security & scalability.
  • On-Chain Verified Scores → AI-generated scores anchored immutably on-chain.
  • Independent Model Audits → Ensure fairness, transparency, and bias-free AI decision-making.

Phase 4: Ecosystem Launch (9–12 Months)

  • Swago Tokens Launch → Unlock premium AI features, staking, and governance.
  • Recruiter Expansion → Verified profiles + deep AI hiring insights.
  • NFT Reputation Passports → Portable proof of skills for students (badges & score NFTs).
  • Ecosystem Pilots → Partner with recruiters, investors & grant programs to validate AI-powered hiring & funding.

Milestone Plan

Milestone 1 – MVP Launch & AI Reputation Layer
Objectives

  • Launch MVP aggregating student activity from GitHub, LeetCode, Hackathons, Credly, LinkedIn.
  • Deploy AI Reputation Layer (v1) → evaluate skill depth, consistency, and impact.
  • Release Student Dashboard (Beta) with first on-chain reputation passports.

Timeline: 1 Oct 2025 – 31 Oct 2025
Cost: $15,000

Milestone 2 – User Onboarding, Hackathons & AI Agents
Objectives

  • Onboard 10,000+ students across 50+ universities via College Ambassador programs.
  • Run hackathons & events → fuel adoption, peer learning, and real-world data input.
  • Build AI Agentic System (v2) → refine reputation scoring for deeper, fairer insights.
  • Initiate recruiter partnerships for AI-driven skill matchmaking.

Timeline: 1 Nov 2025 – 28 Feb 2026
Cost: $25,000

Milestone 3 – Cohorts, Monetization & Predictive AI
Objectives

  • Launch Cohorts, entrepreneurship tracks & crowdfunding modules to monetize ecosystem.
  • Build Recruiter Dashboard (Beta) → verified student profiles + AI hiring insights.
  • Implement Predictive Career Analytics (AI) for personalized guidance & opportunity matching.

Timeline: 1 March 2026 – 31 April 2026
Cost: $35,000

Milestone 4 – Decentralized Compute & Ecosystem Expansion
Objectives

  • Run AI Reputation Scoring on distributed compute nodes.
  • Push AI-verified reputation scores on-chain for tamper-proof validation.
  • Conduct independent AI model audits for fairness and transparency.
  • Expand partnerships with recruiters, grant programs & early-stage investors.

Timeline: 1 May 2026 – 31 July 2026
Cost: $25,000

Total Ask: $100K

Team Details

Bhawna Batra (Tech Lead, 2+ yr web3 experience)
Vidul Gupta (Growth Lead, 2+ yr web3 experience)
Deepak Goyal (ICP India Hub Co-Founder (Crewsphere), 14+ yrs Edtech experience, 5+ Yrs web3 exp, IIT Delhi Alumni. Previously scaled his education venture, Edusquare, to a multi-million dollar exit and sold it to Unacademy .)

Contact & Links

Website: www.swago.ai
Pitch Deck Link : https://drive.google.com/file/d/1JHS5GPSvtV9jMmF5CEnf_2j8qVkTrgZa/view?usp=sharing
Email: partnerships@swago.ai, Deepak.goyal@alumni.iitd.ac.in

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