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Artificial Intelligence Apps Constructed from 50 Million Hourly Posts by OpenServ and LunarCrush

Breaking news from London, United States, on August 13, 2025, via Chainwire:

Artificial Intelligence Applications Built from 50 Million Hours of Social Media Posts by OpenServ...
Artificial Intelligence Applications Built from 50 Million Hours of Social Media Posts by OpenServ and LunarCrush

Artificial Intelligence Apps Constructed from 50 Million Hourly Posts by OpenServ and LunarCrush

In a groundbreaking move, OpenServ, the leading platform for building AI apps and products, has partnered with LunarCrush, a leading web3 social analytics firm. This collaboration aims to integrate LunarCrush's real-time social media analytics, which track 30–50 million social posts per hour, with OpenServ's AI infrastructure platform for building generative UI apps on Telegram.

The partnership enables two live products: the DeFi News aApp and Dash.fun (currently in open beta).

Key Features of the Partnership and Products

Data Integration

LunarCrush supplies continuous social analytics like social dominance, Galaxy Score, trending assets, and top influencers, along with live market data.

DeFi News aApp

This Telegram mini app creates short (1-3 minute) AI-generated video briefings using LunarCrush insights. Users can select topics, timeframes, and data sources and receive personalized videos with animated overlays and on-screen statistics. It offers templates such as Bitcoin Daily Brief, Ethereum Weekly, Solana Ecosystem, and Hidden Altcoin Gems. Options include custom analysis, AI presenter choice, and scheduled daily delivery.

Dash.fun

An AI-powered dashboard and agent tooling platform also leveraging LunarCrush’s data feeds, currently in open beta, focused on enhanced trading workflows on Telegram.

AI-driven Credibility Filters

OpenServ operates multiple verification layers that analyze social data for anomalies, filter coordinated or bot-driven campaigns, and assess credibility based on historical patterns. This prevents manipulation by flagging suspicious sentiment spikes rather than amplifying them.

Market Impact

OpenServ CEO Tim Hafner views social analytics as becoming core market data comparable to price and volume. The partnership facilitates the use of real-time social context within everyday trader apps on platforms like Telegram, Discord, TikTok, and Reddit.

With this partnership, OpenServ’s AI Telegram apps can harness LunarCrush’s massive real-time social media data streams to generate actionable, credible, and easily accessible market intelligence in video briefing and dashboard formats, aiding traders and communities in understanding social sentiment and its impact on market dynamics.

Dash.fun launched in open beta on August 7, 2025, and can be accessed at dash.fun. Users can visit t.me/definews_aapp_bot to explore the DeFi News aApp.

This collaboration also opens up opportunities for developers worldwide to use OpenServ's generative UI to build and employ AI agents. Builder templates and documentation for OpenServ are rolling out publicly in stages.

Tim Hafner, CEO and co-founder of OpenServ, stated that the collaboration gives users a live social signal and a way to publish that insight as video in seconds. Joe Vezzani, chief executive of LunarCrush, mentioned that the partnership allows real-time social context for anyone building large language models and agents.

Agents built on OpenServ can interact with APIs, automate workflows, and operate across any framework. OpenServ moves agents from passive interfaces to active participants in decentralized ecosystems. The platform supports native integration with Telegram and offers a modular SDK.

In summary, this partnership brings together the power of LunarCrush's real-time social media data and OpenServ's AI infrastructure to deliver actionable, credible, and easily accessible market intelligence in video and dashboard formats. This partnership is set to revolutionize the way traders and communities understand social sentiment and its impact on market dynamics.

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