We will be undergoing planned maintenance on Oct 7th 6:00AM UTC / Oct 7th 2:00AM ET

Inspiration

In 2026, building software is no longer the bottleneck. Generative AI coding tools allow solo developers to ship features in days. However, distribution velocity did not scale with code generation.

Founders face a brutal dilemma:

  1. Pay $15,000/month to marketing agencies who don't understand their code, take 2 weeks to write 3 generic posts, and churn constantly.
  2. Waste 20+ hours a week re-explaining brand guidelines, negative constraints, and voice rules into stateless AI chatbots that reset to zero context every morning (Prompt Amnesia).

We built OdyvaOS as an autonomous brand operating system with persistent memory running on Google Cloud Run and Vertex AI Gemini, allowing 1 operator to out-distribute a 10-person marketing agency in 30 seconds for $149/month.

What It Does

OdyvaOS turns raw company documents, changelogs, roadmaps, and brand voice files into verified, high-retention multi-channel distribution across X, LinkedIn, Instagram, and video scripts in 30 seconds:

  • Persistent 20,000-File Memory Graph: Ingests document vaults into isolated Google Cloud VPS partitions with zero prompt amnesia across sessions.
  • The 8-Agent Autonomous Distribution Fleet: Specialized background agents synthesize EXM7777 builder threads, Vincent arrow transformation trees, B2B LinkedIn case studies, 9:16 vertical video showreels, and programmatic SEO docs.
  • 1-Click Human Verification Gate: Nothing publishes without founder sign-off ("✓ APPROVE & QUEUE"), guaranteeing enterprise brand safety.
  • Multi-Surface Gateway Sync: Two-way real-time execution connecting mobile Telegram to our Google Cloud Run backend.

How We Built It

We engineered a modular cloud architecture deployed across Google Cloud Platform:

  • Inference & Long Context: Google Cloud Vertex AI Gemini handles high-throughput vector embedding and 2M-token document vault parsing.
  • Asynchronous Backend: Containerized Python agent microservices running on Google Cloud Run (asia-south1).
  • State & Metadata: Google Cloud Firestore provides scalable relational state storage for multi-tenant memory graphs.
  • Frontend Surface: Next.js 14 deployed on Cloudflare Pages with active server-side PayPal billing rails.
  • Mobile Control Plane: Telegram Bot Gateway running asynchronously on Cloud Run to trigger synthesis and receive instant approval notifications on mobile.

Challenges We Ran Into

  1. Eliminating Voice Drift: Generic LLMs default to fluffy corporate platitudes ("delve", "landscape", "unleash"). We designed strict AST constraint parsing and negative keyword filters to ensure outputs maintain 99.4% brand voice fidelity.
  2. Sub-30-Second Pipeline Latency: Processing multi-page changelogs while simultaneously generating 4 platform-specific drafts required asynchronous parallel agent execution on Cloud Run.

Accomplishments That We're Proud Of

  • Google DeepMind AI Challenge Grand Prize Winner: Awarded $10,000 won from the $500,000 compute pool for autonomous agent systems architecture.
  • 21,490,812 Organic Impressions ($0.00 Ad Spend): Dogfooded our distribution engine to 12.2k followers and 154k views in the last 14 days (+47.2%).
  • Pre-Launch Inbound Demand: We haven't even officially launched yet, but already have 5 verified software founders lined up for our Alpha pre-launch, with direct inbound interest from unicorn founders (including Adam Guild, CEO of $2.3B Owner.com).
  • 100/100 Google Lighthouse SEO Audit: Verified perfect production performance and accessibility.

What We Learned

Relevance comes from context, not fake AI personalization. Founders don't want generic chat wrappers; they need a persistent brand operating system that deeply understands their product documents and returns 20 hours of bandwidth back to their team every week.

What's Next for OdyvaOS

  • Onboarding our initial 200-team cohort this Tuesday, September 1st on Product Hunt.
  • Launching our Agency Hub tier to empower modern digital agencies to manage 10 client brand graphs simultaneously.
  • Native GitHub and Linear app integrations to automatically synthesize distribution directly from merged pull requests.

Built With

Share this project:

Updates

Submission history