We automatically structure your chaotic architecture decisions, daily standups, and research into an interactive graph. No manual linking required.
Auth implementation overhead is too high. Switching for faster TTM.
Need to schedule the phase-out of the old microservice.
Your engineering decisions shouldn't die in Slack. OmniSync uses advanced embeddings to instantly connect related thoughts across your entire organization without you lifting a finger.
Type a messy, unstructured paragraph into the command palette. Our extraction engine strips away the noise, categorizes the intent, and generates a clean, actionable summary in milliseconds.
const context = {
classification: "Architecture Decision",
summary: "Migrate to Clerk Auth",
confidenceScore: 0.98,
relevantTags: ["security", "infrastructure"]
};
OmniSync turns chaotic team notes into a mathematically precise spatial graph. Built on AWS Aurora and the Vercel AI SDK, it’s the intelligence layer your team has been waiting for.deeply buried relationships between old bug reports and new feature requests.
Watch your technical documentation build itself. As your database grows, nodes dynamically cluster, helping your team visualize complex systems and trace the lineage of your product's architecture.
From indie hackers to enterprise architecture boards.
"The pgvector integration is insane. We dumped 1,000 old Slack threads into the canvas and it instantly found architectural contradictions we didn't know existed."
"As a solo developer, OmniSync acts as my second brain. I just type my messy thoughts and it organizes them mathematically."
"The Groq LLaMA-3 extraction is the real deal. No more manual tagging, folder management, or losing context in Notion."
"We use it for tracking API decisions. The ability to see exactly *why* a decision was made six months ago, visually linked to the current stack, is a lifesaver."
"I used to hate documenting. Now I just write a stream-of-consciousness paragraph into the command palette and let the vector engine map it."
"Visualizing cosine similarity on an infinite spatial canvas makes exploring complex research papers actually fun."
Join thousands of developers mapping their ideas spatially.
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