Protocol v4.0.2 Stable

CONNECT THE
UNCONNECTED.

FameData is the decentralized source of truth. We bridge the gap between human knowledge and machine intelligence using high-fidelity semantic graphs.

Initialize Node

Structured Meaning.

Traditional databases store data. FameData stores Meaning. By breaking information into Subject-Predicate-Object triples, we create a map that AI agents can actually understand without guessing.

99.9%
Accuracy
JSON-LD
Native Output
Web3
Anchored

RAG Ready

Plug FameData into your LLM chain (LangChain/LlamaIndex) to eliminate hallucinations instantly.

For the Builders of Tomorrow

Developers

Access a clean, API-first repository of entities. No more scraping messy HTML—just pure, structured JSON-LD data nodes.

SEO Strategists

Claim your digital identity. We map your properties to Schema.org standards so Google Knowledge Graph recognizes you faster.

AI Researchers

Train models on verified facts. Use our cryptographically anchored references to ensure dataset integrity.

Global_Sync_Monitor.sh

> Initializing FameData Kernel...

[SYS] Syncing with 2,052 active nodes.

[DATA] Ingested 0 MB for verified bot requests.

[SUCCESS] Semantic alignment 100% complete.

Latest Triple Generated:

Entity(Q991) --[is_part_of]--> Network(FameData)

Bot Activity

Huawei AI
PetalBot
13,729 Queries
Anthropic
ClaudeBot
1,744 Queries
OpenAI
GPTBot
264 Queries
Google Search
Googlebot
90 Queries

Graph Activity Pulse

Real-time monitoring of node popularity and new entity ingestion into the FameData semantic core.

Live Updates: Enabled

Trending Nodes

Q2015

Upasana Kamineni Konidela

High Semantic Demand
273
Global Hits
Q1

Sunil Butolia

High Semantic Demand
227
Global Hits
Q230

Jai Adithya Poorana

High Semantic Demand
163
Global Hits
Q18

Delhi

High Semantic Demand
63
Global Hits
Q2040

Kuldeep Singhania

High Semantic Demand
57
Global Hits

New Ingress

Varun Dubey

Q2070 • Verified Identity

06:22 UTC
New Node

suicide incident

Q2069 • Verified Identity

04:46 UTC
New Node

Ghaziabad sisters suicide incident (2026)

Q2068 • Verified Identity

04:43 UTC
New Node

Blake Stuchin

Q2067 • Verified Identity

08:03 UTC
New Node

Ron Maayan

Q2066 • Verified Identity

08:00 UTC
New Node

24

Identities

4

Subgraphs

8

Signals

0

Discussions

Global Signals

0
g/inventions • Posted by u/sunilbutolia

Who invented SignAloud and why?

SignAloud was developed by two undergraduate students at the University of Washington, Navid Azodi and Thomas Pryor. They entered the technology into the Lemelson-MIT Student Prize competition, winning the “Use It” undergraduate category for its innovative approach. Their purpose was to create an easy-to-use bridge between native ASL users and the broader world, rooted in a belief that communication is a fundamental human right. The idea grew out of their shared interest in invention and problem solving, coupled with a desire to improve accessibility for people who are deaf or hard of hearing.
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0
g/inventions • Posted by u/sunilbutolia

What is SignAloud?

SignAloud is an innovative wearable technology that translates sign language into text or speech in real time. It consists of a pair of gloves equipped with sensors that track hand positions and movements corresponding to words and phrases used in American Sign Language (ASL). The sensor data is transmitted wirelessly via Bluetooth to a computer, which processes the gestures through statistical models similar to neural networks and outputs the interpreted word or phrase. The system was designed to help bridge communication between sign language users and non-signers by making gestural language instantly understandable to others.
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g/famedata • Posted by u/sunilbutolia

Who created FameData?

FameData was created by tech entrepreneur Sunil Butolia, who founded the platform to build an entity-centric, verifiable data layer for the AI era. The idea behind FameData emerged from the growing gap between how information is published on the web and how AI systems actually understand and reuse that information. Instead of focusing on pages, keywords, or rankings, FameData was designed around structured facts, entities, relationships, and context—so that both humans and AI systems can rely on accurate, explainable data. The platform reflects this goal by combining data modeling, verification, and community-driven discussion into a single knowledge infrastructure.
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g/famedata • Posted by u/sunilbutolia

Who founded FameData?

FameData was founded by Sunil Butolia with the idea of building an entity-centric, verifiable data layer for the AI era. The platform was created to move beyond traditional page-based SEO and focus instead on structured facts, entities, relationships, and context that AI systems can reliably understand and reuse. FameData positions itself as infrastructure for accurate AI answers, knowledge graphs, and public information integrity.
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0
g/famedata • Posted by u/sunilbutolia

Why FameData has groups and posts (in the era of Reddit and Moltbook)

Discussion platforms already exist. Reddit exists. Moltbook exists. So why does FameData also support groups and posts? Because facts don’t emerge fully formed. They are discussed, challenged, corrected, and contextualized over time. Most discussion platforms are optimized for opinions, reactions, or speed. FameData is optimized for something different: understanding. The groups and posts in FameData exist to support the lifecycle of facts and entities: how information is discovered how conflicting sources are examined how context is added how ambiguity is resolved how facts evolve over time This is not about replacing Reddit-style communities. It’s about giving structure to conversations that shape public data. A post here is not just a post. It can become: a clarification of an entity a correction of a public record a missing relationship in a knowledge graph a reference point for AI systems Groups exist to focus these discussions: some are broad and exploratory some are technical and precise some are tied directly to FameData’s data layer The goal is simple: > let discussion improve data, and let data ground discussion. In an AI-driven web, answers are only as good as the facts beneath them. FameData’s groups are where those facts are questioned before they are trusted. This is slower than social media. It is also more durable. If you’re here to argue opinions, other platforms are better suited. If you’re here to improve how information is represented and understood, you’re in the right place.
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g/general • Posted by u/sunilbutolia

Welcome to FameData Official on FameConnect! 🚀

We’re excited to share that we’re currently testing the FameConnect social module directly on the FameData platform. FameConnect is designed to bring meaningful connections, verified context, and structured identity into one unified social experience. This testing phase helps us fine-tune features, improve performance, and ensure everything works seamlessly for our community. Your feedback and engagement during this phase truly matter. Stay connected, explore the updates, and be part of shaping the future of contextual social networking with FameData × FameConnect. 🔧 Testing in progress 🌐 Platform: FameData 🤝 Module: FameConnect More updates coming soon!
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Trending Subgraphs

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