[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  DSV [@dsvfund](/creator/twitter/dsvfund) on x XXX followers Created: 2025-07-21 15:11:18 UTC Trust in digital media is breaking down. BitMind is building the infrastructure to fix it - and we’re backing them with a $100K OTC investment into Subnet XX. @BitMindAI is developing a decentralized AI system that detects deepfakes - synthetic images, video, and audio created by AI. With deepfake scams already costing over $XXX million in Q1 alone, this is no longer a niche threat. It’s an infrastructure-level problem - and BitMind is treating it like one. Their system uses a decentralized network of validators and miners to flag manipulated content in real-time. Accuracy already exceeds XX% in the wild - a material jump above traditional solutions - and their monthly active user base has passed XXXXXX. What stood out most to us is their commercial focus. They’re not just building clever tech - they’re going to market. A consumer mobile app launches this month with a subscription model baked in. Public tools like browser extensions and @BitMindBot on X are already live. But their core route to market is B2B2C. Tooling businesses like banks with the relevant tools to detect fakes for their own consumers. Revenue is within reach. When @MarkCreaser and @SiamKidd interviewed BitMind co-founder @kenjonmiyachi on Revenue Search a couple of weeks ago, it quickly became clear: Ken and his team aren’t just tackling a hard technical problem - they’re building critical infrastructure for the AI era. They’ve also begun exploring partnerships across social media, news, and KYC/financial fraud services. A native mobile app, content segmentation tools, and audio/video detection layers are all scheduled to ship in Q3. They’ve built a strong feedback loop: contributors are rewarded for improving model performance, and the detection system keeps evolving as more data flows through the network. From our point of view, BitMind ticks every box: • Clear real-world use case • Strong team with a clear monetisation path • Native fit for Bittensor’s distributed architecture As Siam put it: “In five years, we won’t scroll past a single piece of content without some kind of authenticity layer baked in. BitMind is solving the digital trust problem before most people even realise it exists - and they’ve got a direct path to revenue while they do it.” This is exactly the kind of subnet we aim to back: commercially-minded teams moving fast and solving real problems. If you’re building something like that on Bittensor - let’s talk. XXXXX engagements  **Related Topics** [coins ai](/topic/coins-ai) [decentralized](/topic/decentralized) [investment](/topic/investment) [$100k](/topic/$100k) [Post Link](https://x.com/dsvfund/status/1947313443083546684)
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DSV @dsvfund on x XXX followers
Created: 2025-07-21 15:11:18 UTC
Trust in digital media is breaking down. BitMind is building the infrastructure to fix it - and we’re backing them with a $100K OTC investment into Subnet XX.
@BitMindAI is developing a decentralized AI system that detects deepfakes - synthetic images, video, and audio created by AI. With deepfake scams already costing over $XXX million in Q1 alone, this is no longer a niche threat. It’s an infrastructure-level problem - and BitMind is treating it like one.
Their system uses a decentralized network of validators and miners to flag manipulated content in real-time. Accuracy already exceeds XX% in the wild - a material jump above traditional solutions - and their monthly active user base has passed XXXXXX.
What stood out most to us is their commercial focus. They’re not just building clever tech - they’re going to market.
A consumer mobile app launches this month with a subscription model baked in. Public tools like browser extensions and @BitMindBot on X are already live. But their core route to market is B2B2C. Tooling businesses like banks with the relevant tools to detect fakes for their own consumers. Revenue is within reach.
When @MarkCreaser and @SiamKidd interviewed BitMind co-founder @kenjonmiyachi on Revenue Search a couple of weeks ago, it quickly became clear: Ken and his team aren’t just tackling a hard technical problem - they’re building critical infrastructure for the AI era.
They’ve also begun exploring partnerships across social media, news, and KYC/financial fraud services. A native mobile app, content segmentation tools, and audio/video detection layers are all scheduled to ship in Q3.
They’ve built a strong feedback loop: contributors are rewarded for improving model performance, and the detection system keeps evolving as more data flows through the network.
From our point of view, BitMind ticks every box: • Clear real-world use case • Strong team with a clear monetisation path • Native fit for Bittensor’s distributed architecture
As Siam put it: “In five years, we won’t scroll past a single piece of content without some kind of authenticity layer baked in. BitMind is solving the digital trust problem before most people even realise it exists - and they’ve got a direct path to revenue while they do it.”
This is exactly the kind of subnet we aim to back: commercially-minded teams moving fast and solving real problems.
If you’re building something like that on Bittensor - let’s talk.
XXXXX engagements
Related Topics coins ai decentralized investment $100k