Streamr

In early 2025, extensive scaling tests were conducted on the new trackerless Streamr Network 1.0 to evaluate its performance and scalability. The tests involved deploying thousands of nodes across 17 global regions, utilizing data centers to simulate a live network environment. The experiments focused on validating the three-layer trackerless architecture, particularly the locality awareness in Layer 2, and measuring the network's performance under load. Key metrics analyzed included join times, routing delays, message propagation delays, and time to data, all crucial for the network's functionality. The experiment setup involved running tests with up to 2,000 nodes, coordinated by a centralized script that tracked progress and issued instructions. Initial latency measurements established a baseline, revealing a mean one-way delay of 75 ms between AWS regions. The results indicated that join times for nodes joining the Layer 0 Distributed Hash Table (DHT) were efficient, with most nodes able to start participating in higher layers shortly after establishing a single DHT connection. Routing delays and hops were also measured, showing that the mean hop count grew logarithmically with the number of nodes, while the average round-trip time (RTT) remained around 360 ms at 2,000 nodes, confirming the efficiency of Layer 0 routing. The tests further evaluated stream message propagation delays and time to data, with results indicating that the mean message propagation delay was lower for larger streams due to effective locality-aware clustering. The mean time to data consistently averaged around 1 second, significantly below the 2-second target. Overall, the new trackerless Streamr Network demonstrated stable performance, efficient routing, and low latency growth, confirming its capability to scale effectively while maintaining high data availability and performance standards. This success validates the architecture's design and its potential for future applications in decentralized data streaming.

The intersection of robotics and blockchain technology is fostering a new wave of innovative projects that are gaining traction among niche investors. These lesser-known robotics tokens, each with a market capitalization under $20 million, provide a unique perspective on the future of decentralized automation, AI-driven robotics, and machine-to-machine economies. As these projects emerge, they are setting the stage for a transformative shift in how we perceive and utilize technology in various sectors. One notable project is Streamr (DATA), an open-source platform that utilizes cryptography to create a decentralized, peer-to-peer data infrastructure. With a market cap of $18.65 million, Streamr aims to facilitate real-time data exchange through a scalable messaging network and a marketplace for trading data. Another promising project is U2U Network, which combines advanced directed acyclic graph (DAG) technology with Ethereum Virtual Machine (EVM) compatibility, enabling ultra-fast transactions and customizable sub-networks for developers. With a market cap of $10.52 million, U2U Network is positioned to enhance decentralized physical infrastructure networks (DePIN). Additionally, Swarm (BZZ) seeks to re-decentralize the internet by providing a self-sustaining infrastructure for a supply-chain economy of data. With a market cap of $7.09 million, Swarm is backed by a strong community. Mysterium (MYST) offers a borderless internet experience through its open-source ecosystem, allowing users to safeguard their online anonymity while participating in a peer-to-peer network. Lastly, Shieldeum (SDM) focuses on delivering secure computing power through AI-driven decentralized infrastructure, catering to the needs of crypto users and Web3 enterprises. These projects highlight the potential of blockchain technology in revolutionizing robotics and automation, paving the way for a more decentralized future.

In the evolving landscape of decentralized networks, scalability emerges as a vital attribute, particularly in peer-to-peer (P2P) systems. The Streamr Network has embraced this principle by transitioning from a traditional tracker model to a fully decentralized architecture. This shift, marked by the introduction of a three-layer structure, empowers every participant to act as a full node, thereby eliminating the bottlenecks associated with centralized servers. By leveraging a multi-layer Distributed Hash Table (DHT), Streamr enhances node independence and facilitates seamless scaling, allowing for efficient data stream coordination without the need for centralized trackers. The three layers of the Streamr Network each serve a unique purpose in ensuring efficient data delivery. Layer 0, the Global Kademlia DHT, functions as the backbone of the network, enabling nodes to connect and communicate with minimal hops. Layer 1 introduces a hybrid DHT tailored for stream coordination, optimizing peer discovery based on geographic proximity. Finally, Layer 2 establishes a mesh network for real-time data flow, ensuring that subscribers receive messages promptly. This layered approach not only reduces the resource burden on individual nodes but also supports the inclusion of thousands of nodes without significant connection overhead. Recent experiments have demonstrated the effectiveness of this trackerless architecture, showcasing low latency even as the network scales. With locality-based clustering, message propagation delays remained impressively low, averaging around 120 milliseconds in a 2,000-node network. This performance underscores the potential of Streamr's innovative design to maintain efficiency and responsiveness in decentralized environments. Future updates will delve deeper into the scalability tests and the architecture's overall performance, reinforcing Streamr's commitment to advancing decentralized data streaming solutions.

In the second quarter of 2025, Streamr made significant strides with the launch of StreamrTV, a decentralized broadcasting application that showcases the potential of real-time data transport. This transition marks a pivotal shift from infrastructure development to practical applications, aiming to foster user adoption and product-led growth. The launch received positive feedback from content creators, highlighting features such as one-click streaming, ultra-low latency broadcasting, and live end-to-end encryption. Streamr's commitment to transparency and collaboration is evident as they have adopted a public building approach, inviting community feedback to refine their offerings and align with their decentralized ethos. Financially, Streamr faced challenges due to a tough macro environment, prompting necessary salary reductions across various teams to maintain operational efficiency. The project expects to reduce expenses by approximately 30%, reallocating savings towards external marketing efforts. In Q2, approximately 7.5 million DATA tokens were minted and distributed to community Node Operators, while the strategic reserve remained healthy at around $740,000. Despite the overall market pressures, the project aims to maintain a stable reserve to avoid unnecessary token sales, ensuring continued development and growth. Looking ahead, Streamr is focused on strengthening its protocol layer and building industry relationships, particularly in sectors like DePIN and video streaming. However, the closure of the Subcast project reflects the challenges faced in the OTT live video streaming market, prompting a sharper focus on StreamrTV. The development of the Autostaker tool, designed to streamline operator participation in sponsorships, presents technical challenges that the team is actively addressing. Overall, Streamr is navigating a complex landscape with a clear vision for the future, emphasizing innovation, community engagement, and strategic partnerships.

StreamrTV has officially launched its version 1.0, providing a groundbreaking platform for live streaming that leverages the decentralized capabilities of the Streamr Network. This innovative service allows users to broadcast live content globally without the constraints of traditional internet infrastructure. With features such as one-click streaming, ultra-low latency, and end-to-end encryption, StreamrTV aims to facilitate a seamless and secure broadcasting experience. Users can easily start streaming from any device with a camera and share their broadcasts via generated links, making it accessible for various use cases, including live sports, independent journalism, and online events. The peer-to-peer streaming model employed by StreamrTV is a significant departure from conventional broadcasting methods. By utilizing a decentralized network, the platform ensures that each viewer contributes to the stream's bandwidth, enhancing scalability and efficiency as more participants join. This approach not only reduces costs associated with traditional content delivery networks but also provides a competitive edge by allowing broadcasts to adapt dynamically to audience size. As the network grows, so does its capacity to deliver high-quality streams, making it an attractive option for content creators and broadcasters alike. Looking ahead, StreamrTV plans to introduce features that will further enhance user experience and engagement. Potential developments include monetization options for creators, exclusive features for DATA token holders, and improved discoverability for live content. While the platform currently operates with a focus on user-driven content moderation, future updates may incorporate more sophisticated tools for managing content. The launch of StreamrTV represents a significant step forward in the evolution of decentralized media, aligning with the broader vision of empowering users and fostering a more open and accessible internet.

Quantum computing presents a significant threat to traditional cryptographic algorithms, potentially compromising data confidentiality and integrity. The National Institute of Standards and Technology (NIST) has warned that classical cryptography, including RSA and ECDSA, may not be secure beyond 2035, while the Australian Signals Directorate (ASD) suggests an even earlier deadline of 2030. In response to this looming threat, Streamr has announced the integration of quantum-resistant algorithms for identity, signatures, encryption, and key exchange, available from Streamr SDK version 103.0.0 onwards. This advancement aims to ensure data security in a post-quantum world, allowing users to maintain the integrity of their information against future quantum attacks. Streamr, rooted in the Ethereum ecosystem, has traditionally utilized the Elliptic Curve Digital Signature Algorithm (ECDSA) for cryptographic functions. However, the platform has recently expanded its capabilities to include a variety of cryptographic algorithms, introducing post-quantum alternatives such as ML-DSA-87 for signatures and ML-KEM-1024 for key exchanges. These new algorithms, recognized by NIST, are designed to withstand quantum threats, while AES-256 continues to provide robust symmetric encryption. Users can easily activate quantum security by configuring ML-DSA identities, ensuring that their data streams are protected using these advanced cryptographic methods. The introduction of quantum-resistant security features opens up new possibilities for industries where data confidentiality is paramount, such as finance, healthcare, and defense. By enabling secure real-time data streaming, Streamr allows organizations to safeguard sensitive information against potential future quantum breakthroughs. This proactive approach not only enhances operational security but also positions Streamr users to comply with emerging post-quantum cryptography standards. As the landscape of data security evolves, Streamr is leading the charge in ensuring that data remains secure in the face of advancing quantum technologies.