Let's take a look at the winners of round three of the Streamr Open Data Challenge. After a successful debut, we moved the contest to the LearnWeb3 platform to increase our reach among Web3 developers.

Round two winners

I'm pleased to say that it worked and we now have two new data streams and unique use cases added to The Hub!

🥇 Winner—Mide Sofek

Rendevous is a position-data streaming application that uses the Streamr Network to allow its users stream their position data either privately between contacts who have been granted permission, or in a real-time data marketplace for reward incentives. Users create or join streams and share their position data with subscribers to the stream—with trust that the data is running over the P2P Streamr Network.

Rendevous' architecture leverages the Streamr Client to "publish" and "subscribe" to data. The metadata provided by the subscribe method provides subscribers with additional information such publisher address and timestamp. Additionally, Rendevous uses Streamr Storage to enable stream subscribers to access data published in the time before their active subscription (30 minutes by default).

The next phase of Rendevous will be the development of the Rendevous Marketplace to integrate stream permissions, tokenisation, and Smart Contracts to provide incentives to users willing to share position data with advertisers or event organisers for real-time market analysis.

Read the fantastic blog article for more details and follow Mide on Twitter to stay tuned for updates on this unique use case!

Winner—Donatus Prince

This project used Streamr to create a decentralized data hub that provide users with up-to-the-minute sports odds and scores. The data is sent from the source APIs to a Streamr stream on The Hub where it is stored and can be subscribed to in real-time. This is similar to topics in traditional pub/sub-networks, but with the added decentralized advantages that Streamr offers.

Potential uses cases Donatus shares on his blog include:

Betting Platforms: Betting enthusiasts can receive real-time updates on odds, enabling them to make informed decisions.

Fantasy Sports: Fantasy sports platforms can integrate live scores to provide players with up-to-date statistics, enhancing their gameplay experience.

Media Outlets: Media outlets can leverage live scores to keep their audience informed about ongoing matches and sports events

Steps taken to ensure the data remains reliable include a JavaScript program that runs every 7 days to fetch and update the odds and scores from the source API, as well as other error-handling and data validation processes to bolstered the accuracy of the data stream.

Read more in the blog and follow Donatus on Twitter for updates!

Round three?

For the next iteration of the Open Data Challenge, we will explore hosting a workshop and participating in the upcoming LearnWeb3 hackathon (details TBA).

Get ready to build! 💻We’ve teamed-up with @LearnWeb3DAO on the Decentralized Intelligence Hackathon!Save the date and hit that reminder 🔔 for the 14th September! 👇https://t.co/tQ5hCR2gS0 pic.twitter.com/A9KEmEAG1q

— Streamr Network (@streamr) September 7, 2023

Make sure to join the Twitter Space on the 14th of September and keep an eye on our Twitter for more details!

We’re pleased to announce a collaboration with MapMetrics for a series of open data initiatives and node contest engagements. MapMetrics is a drive-to-earn navigation app that rewards its users in crypto for contributing their data anonymously and Streamr is a next-generation P2P network for streaming data and real-time messaging.

There’s a lot of early synergies between the two projects, and we’re sure more will develop in time. To start with, we’re adding MapMetrics data to The Hub, supporting their Bitcoin rocket contest, and hosting the rocket live video stream on Streamr. Let’s get into it!

Rocket contest

MapMetrics have a live contest that sees a digital Bitcoin rocket traversing the world across various locations, trackable on this livestream.

MapMetrics drivers mine Geolocation data while driving their cars, and get rewarded for doing so by earning tokens. The driver using the MapMetrics app who is closest to the rocket by the end of the competition wins an entire Bitcoin. This is a fun opportunity to also reward Streamr node runners, by having a Streamr branded spaceship shadow the rocket to create a monthly side contest.

To enter, simply tweet a screenshot of your node’s location from the Network Explorer using the hashtag #StreamrNodeTour. We’ll choose a random time during the month and note the rocket’s flight location. The person who’s tweeted node happened to be closest to the rocket will receive $100 worth of DATA tokens to stake with Zonaris, and one year’s node subscription for Zonaris. The winner is announced at the end of each month. Entries for the Streamr prize do not put you in contention for the grand prize of one Bitcoin, so make sure to enter the main MapMetrics competition separately!

MapMetrics data streamed on The Hub

The Hub is a platform for hosting and discovering Web3’s live Open Data—exactly the kind of insights generated daily by MapMetrics users. We’re therefore thrilled to see this open anonymous data flowing from MapMetrics drivers to The Hub, where it can be used and traded to generate crowdsourced insights about the roads.

What kind of insights? Emerging hazards on the road, previously unmarked traffic lights, speed cameras, or other obstacles which can be identified in real-time by passing the data through a machine learning plugin to refine the map or send out alerts for other road users based on the data they have generated.

Data might also be logged and stored, making use of newly developed Log Store, to allow data scientists to mine the historical data stored on The Hub and perhaps identify needed improvements or insights that can help road managers to make better informed decisions.

The possibilities are limitless with this kind of data. Adding it to The Hub adds another avenue of discoverability to increase the data’s value.

Video stream of the rocket

P2P video streaming is something that we’re excited to explore with the Streamr Network. Demonstrating the validity, scalability and stability of decentralized live video feeds could offer new use cases where no centralized intermediaries are required to deliver and distribute the content. Thanks to Streamr protocol, the live video feed consumers are actually partaking in the video feed’s redistribution, enabling potentially orders of magnitude of savings in contrast to traditional paid live video streaming platforms.

A great test of this will see the MapMetrics bitcoin live feed transfer from YouTube to Streamr!

Test out the feed for yourselves!  

Want to learn more about MapMetrics, the contest, and the further scope for collaboration? Then save the date for a joint Twitter Spaces hangout at 16:00 CEST on 7th September. Please add your questions in the #Marketing channel on the Streamr Discord.

Thanks for reading and see you then!

The summer season in the northern hemisphere is drawing to a close, and now it’s full steam ahead towards the 1.0 release, and the completion of the Streamr whitepaper. Let’s take a look at what’s been happening. Here are the highlights from the past few months!

Firing on all cylinders towards the Network 1.0 release!

The 1.0 release marks the culmination of the 2017 roadmap, and means Streamr is fully decentralized, production-ready and complete—without any caveats needed to prospective builders. The development team is busy putting the final pieces into place before we run incentivised testnets end-to-end for the first time.

Lots of stuff happening and engines firing on all cylinders. Teams working together to iron out integrations. Final pieces being put into place before we can internally try running incentivized testnets end-to-end for the first time.

— Henri Pihkala (@henripihkala) August 25, 2023

We will explore the specifics in later content, but here’s a brief overview of the 1.0 release plan (dates yet to be confirmed):

Internal testingSIP governance votesPublic testnetsMainnet launch

A round of Streamr Improvement Proposal (SIP) governance voting will be held to seek consensus on aspects like testnet rewards, network parameters, operator rewards, and protocol fees. As usual the proposals will be written up and discussed before going to a Snapshot vote. And we invite you to submit your own proposals ahead of this.

With the upcoming 1.0 release, you can anticipate increased marketing and business outreach to push for Network adoption. To this end, I’m pleased to report that Nico Burkart has moved to a new role as Partnership and Business Development Manager.

For a closer look at our progress, check the 1.0 Trello board and listen to developers Juuso Takalainen and Eric Andrews discussing the upcoming release.

Streamr Open Data Challenge

The Streamr Open Data Challenge launched as a contest to add new real-time data streams to The Hub. For round one, the community was asked to integrate useful and interesting data with an eye for how the stream could be maintained.

Each winner presented a viable solution, leveraging Streamr in distinct ways:

First place Art Sham leveraged the Streamr network to create an inventive tool for real-time air quality assessment.

Joint second Ümit Kirencibuilt a POC to optimises waste management by using real-time data to measure container fill levels in large metropolitan cities.

Next step --> a @sveltejs frontend connected to the @streamr #stream that displays real-time data on electricity production in france !#StreamrOpenDataChallenge https://t.co/Sx1YKv9qhV pic.twitter.com/7kHFr0XPut

— Koutakou⚡ (@KoutakouC) June 21, 2023

Joint second Koutakou streamed data from the open French public data platform, with a specific focus on real-time energy production data.

Round two is concluding shortly, after a move to Learn Web3. We made this move to fuel the objective of driving open data in Web3, while getting the challenge to more developers in the Learn Web3 community.

The winners of round two and details of round three will follow soon.

Log Store

The Log Store AlphaNet from Usher Labs went live which brought the ability of decentralized storage and querying for any data transmitted over the Streamr Network. Log Store was proposed to Streamr Governance to fix a problem that when custom data is used within Smart Contracts, this data is typically requested from centralised, siloed environments which exposes security risks associated to data integrity and data availability.

The Log Store Network solves this issue by decentralising data management from the point of data collection, to storage and then to query. Consensus-driven data validity is managed by KYVE, and guaranteed permanence and immutability of data with Arweave.

Data streams from the Flux Cloud API on The Hub

The Hub now integrates data streams from the Flux Cloud API. This integration offers developers, data analysts, and the community a real-time view into the inner workings of the Flux Network.

Key metrics include the number of application instances, total deployments, and unique applications, and performance metrics such as CPU resource consumption. This provides insights into how the Flux Cloud is being used, and can allow developers to make informed decisions, in real-time, about deployment that could improve their applications' performance. Another milestone to champion open data in Web3!

P2P file transfers

Jarno Marttila, Streamr Software Engineer, introduces a new PoC Command Line Interface to handle one-to-one and one-to-many file transfers using the Network.The point of this proof of concept was to demonstrate that Streamr can support use cases outside of the typical pub/sub use cases. Now that we have shown that it is possible to send files over Streamr, we hope that it’ll spark some ideas and thoughts on what else it could be used for.

An update on Data Unions and first look at Rail

A new project called Rail has been formed that builds on the payment distribution R&D from Data Unions. Rail makes on-chain group payments possible for any projects that struggle with distributing tokens at scale. Rail builds on the scalable token distribution standard from Data Unions but with an entirely different go-to-market strategy, going beyond the scope of Data Unions, into group payments.

The Data Union DAO has paused its fundraising efforts. While we still firmly believe in the vision of Data Unions, the business case for a dedicated Data Union infrastructure provider has not been strong enough to attract venture capital to date. The airdrop token promise from SIP-3 and SIP-10 carries over from UNION to RAIL.

Worth a read:

How to build a Streamr Node Dashboard with StreamlitThe Streamr Node of the month competition is back!Streamr 1.0 Terminology ImprovementsLearn more about the unique Log Store Network thanks to this course from KYVEStreamTeam campaign has taken a leap to Zealy