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Goosy

Turn your raw code into reliable, production-ready code | Goosy

kolkata, India

Goosy
A.I
Pre-seed
Revenue: $100K or Less
Profile Image Om Porwal
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https://www.goosy.ai/
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Summary

Goosy is an AI-powered production-readiness platform that takes code from raw/prototype to production-grade. It analyzes, debugs, refactors, optimizes, and reviews codebases ,helping developers ship faster, reduce bugs, and improve production reliability

Notable Achievements

  • 5K+ developers, 3.8K+ WAU and 203K+ sessions within the first 64 days of the beta.
  • 165M+ tokens processed during the beta period.
  • 40–50 user interviews conducted to validate product-market needs and identify what to build and improve.
  • 4.5K+ waitlist signups for the stable version.
  • 4 active pilots across Mumbai, India and the UK.
  • 7+ enterprise/startup prospects lined up for pilots, including IT companies and funded startups.
  • 1K concurrent user activities successfully stress-tested, demonstrating early infrastructure scalability.
  • Product has evolved from a beta based on user feedback into a stable production-focused platform. The deck independently records 5K+ developers, 203K+ sessions and 165M+ tokens during the beta.

    • The Business

    .Goosy sits at the production-readiness layer of the developer workflow—the stage after AI-generated code, where developers currently spend significant time debugging, maintaining and refactoring.

    • Core product: Codebase scanning, debugging, refactoring, code review, security, complexity analysis and developer intelligence.
    • Core insight: Engineers spend approximately 70–80% of their time maintaining, debugging and refactoring, rather than writing new code. 
    • Business model: PLG-led B2C → Team → Enterprise, supported by partnerships with IT companies, Big 3/Big 4 and their enterprise clientele. 
    • Enterprise focus: Series A+ companies and large enterprises, including Fortune 2000 / India 500.
    • Monetization: Pro, Pro Max, Team and custom enterprise pricing based on seats, usage and infrastructure.

    The Market

    .Goosy is targeting the global developer productivity and AI-assisted software engineering market.

    • 47M developers globally = TAM.
    • 36.5M professional developers = SAM.
    • 20M developers earning $60K+ annually = SOM.
    • Immediate opportunity of approximately 1M early-adopter developers willing to pay out-of-pocket.
    • At $20/month, the immediate market represents approximately $4.8B annual revenue potential. 
    • The broader market is being accelerated by AI-driven code generation, while production readiness, debugging and maintenance remain major bottlenecks. 

    Objective/Future (Use of funds)

    Use of Funds
    Objective:
    Materialise the existing pilot, enterprise and startup pipeline into paying customers and build the foundation for scalable revenue.

    Investment deployment:
    40% — Product & Enterprise Readiness: Continue product development, reliability, security, integrations and enterprise-grade capabilities.
    25% — GTM & Growth: Convert the existing 4 active pilots, 3 enterprise prospects and 5+ warm startup opportunities into paying customers and expand developer adoption.
    15% — Business Development & Operations: Dedicated resources to accelerate enterprise sales, partnerships, customer success and execution.
    15% — AI & Infrastructure: Scale compute, AI infrastructure and platform capacity as usage grows.
    5% — Admin & Misc.: Essential corporate, legal and administrative requirements.

    Expected outcome:
    The objective is to move from validated product-market demand to revenue, targeting $500K ARR within the 16-month runway, alongside 80K+ developers and 5 enterprise POCs. The company already has significant validation, including 5K+ developers, 203K+ sessions, 165M+ tokens processed and 4.5K+ stable-version waitlist signups. Heva AI - Deck

    Bottom line:
    The funding is primarily growth capital to execute on an existing pipeline, strengthen the product for enterprise adoption, and build predictable recurring revenue,not to discover whether the product has demand. The allocates the $1M raise across these five areas and targets $500K ARR within 12 months.

    The Team

    MD Fazal Mustafa - Founder & CEO

    Serial founder and builder with experience scaling Collegeshala to 32K students and Lecturenotes to 2.5M+ students across 300+ campuses. Previously raised capital and built multiple AI/technology products. Brings strong developer distribution through 25+ communities, 300+ campuses and strategic partners.

    Soumic Sarkar - Tech Lead

    3+ years building and scaling SaaS & AI systems, with experience taking products from 0 → production across LocalDesign, SupaEval and Doptor. Previously Tech Lead at X-ACK and AI-Linc.

    Abhinava Bisas - Founding Engineer

    2+ years building scalable, production-grade AI systems, with expertise across model development, deployment pipelines and backend systems. Previously Co-founder of KronusLabs.

    Growth Roadmap

    Near-term: Prove the core product with early customers and tighten the offering from real usage. Mid-term: Convert early traction into a repeatable sales motion and expand into adjacent customer segments. Long-term: Goosy becomes the default solution in its category, with a broader product line and durable customer relationships.

    Uploaded Documents

    PDF

    Heva AI - Deck.pdf

    PDF

    HEVA IOI REDACT.pdf

    $ 1,000,000
    10%
    $ 500,000
    5%
    Make an Offer
    Analyse

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