Shaga: Gameplay-Action Pairs, The Data Powering Google's Genie3

What Happened

Shaga is introducing "Gameplay-Action Pairs" (GAPs), a novel data asset class composed of synchronized gameplay frames and the corresponding player inputs.

Shaga’s platform is designed as a vertically integrated solution, combining compute, storage, and bandwidth from a single peer's machine to deliver a low-latency gaming experience. Shaga believes this architecture is fundamentally superior to using fragmented DePIN solutions, where routing between different networks for storage, compute, and streaming would introduce unplayable levels of lag.

Shaga's invite-only phase, which launched in March 2025, has served as a period for validating its infrastructure and demonstrating early network effects. The most significant milestone from this period is the accumulation of over 259,400 video game streaming hours.

In August 2025, average daily streaming hours were 728.2, with 88.5% of hours coming from nodes and 11.5% of streaming hours coming from clients. Also, in August, average daily gaming sessions were 136.4, a 33.4% MoM increase, resulting in 21,700 cumulative sessions since launch. All supported games with live lobbies can be found here.

The SHAG was set to launch on August 20, but the team postponed due to interest from exchanges that will partner with Shaga at launch. However, token information has been released, and the SHAG token is set to become the economic engine of the Shaga network. Its design connects three distinct functions that align incentives across gamers, node operators, and AI researchers:

The network further strengthens token value through its Solana-native structure. At launch, Shaga will conduct a token sale via Metaplex Genesis. 25% of the SOL raised will be staked with Marinade, and staking yields will be used for continuous SHAG buybacks. This mechanism aims to create a constant base level of demand for the token using SOL reserves.

Market Context

The Shaga network has captured over 259,400 hours of video game streaming data, a dataset with a potential market valuation of approximately $26 million.

Shaga is a decentralized physical infrastructure (DePIN) network built on Solana that turns idle gaming PCs into a distributed cloud gaming platform from users providing their computing power. The project's thesis begins with a significant market inefficiency: an estimated 59.5 million high-specification gaming PCs sit dormant for up to 80% of the day, representing billions of unutilized GPU-hours daily. Shaga aims to capture this wasted resource by enabling PC owners to monetize their hardware by streaming video games to users who lack the resources, allowing them to play on weaker devices. Shaga is solving the high costs and scalability issues that have plagued centralized cloud gaming services, and is led by industry experts Guido Pardini (CEO), Daeshawn Ballard (COO), and Aaron Sternberg (CRO).

Data Value: The Gameplay-Action Pair (GAP) data generated during these sessions has a wide range of potential valuations. Internal estimates place a conservative floor at $1 per hour, while market intelligence indicates that data brokers are quoting rates between $50 and $100 per hour for this type of authentic, high-quality training data.

This contrast between the low cost of data generation and its high market value, along with the potential of future SHAG token incentives, creates a powerful incentive structure for network participation. When compared to incumbent centralized services like Xbox Cloud, which costs users around $20 per month, the Shaga model is positioned to be up to 26 times cheaper per player, even before accounting for data revenue. This economic advantage is a key driver of the network's growth trajectory and sets the stage for its strategic evolution.

AI Data Mining: Gameplay sessions generate GAP data, a scarce resource for training generative gaming AI. Players can earn SHAG by contributing this data as they stream games via Shaga. This data has substantial market value and could subsidize or eliminate gaming costs.

Why It Matters

According to Shaga’s data, its initial invite-only phase has attracted a waitlist of over 962,000 users and delivered 259,400 gaming hours, suggesting significant early demand for its community-owned gaming infrastructure. Shaga has raised $5 million and is backed by Anatoly Yakovenko (Founder of Solana), Stephen Akridge (Cofounder of Solana), Amir Haleem (Founder of Helium), Yuan Gao (Founder of Gradient), and others.

Details

Key Insights

Shaga’s technical strategy leverages GAPs for a dual purpose: training advanced Neural Game Codecs (NGCs) to enhance its core cloud gaming product while also monetizing the data itself.

The SHAG token will become the economic engine for the Shaga network. SHAG’s design aligns inventives across gamers, node operators, and AI researchers.

Primer

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Invite-Only Phase: Metrics & Growth

The Shaga network's unit economics for PC owners reveal a compelling reason to join, particularly when factoring in the value of its generated data.

Operating Cost: The primary operating expense for a network participant providing their gaming PC as a compute node is electricity. A standard 500W rig costs approximately $0.065 per hour to run at an average US electricity cost of $0.13 per kilowatt-hour.

SHAG Token

Cloud Gaming: SHAG is used to pay for video game streaming sessions. The peer-to-peer model allows lower-cost, low-latency access compared to centralized platforms like Xbox Cloud.

AI Compute Training: Shaga nodes can redirect idle compute from GPUs to AI model training through shared infrastructure like Nous Research. Nous and Shaga share the same networking library, which would make this possible. Node operators earn SHAG for contributing compute, extending token rewards beyond user gameplay.

SHAG issuance follows a similar model to Bitcoin’s Proof-of-Work (PoW) dynamics. Node operators effectively convert electricity into tokens, with emissions calibrated to reflect real-world costs down to the kilowatt-hour. This thermodynamic approach filters participation to committed operators while discouraging farming. Conservative emission schedules are intended to preserve long-term value and avoid the dilution cycles seen in other DePIN projects.