Algovera: A Growing Community of Data Scientists with Improving Tools/Libraries/Integrations starting to Monetize

OceanDAO Round 14
#1

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Algovera: A Growing Community of Data Scientists with Improving Tools/Libraries/Integrations starting to Monetize

Part 1 - Proposal Submission

Name of Project: Algovera

Proposal in one sentence: Building better tools, libraries and integrations for our quickly-expanding community of data science teams who are funded through Algovera Grants, freelance projects and tournaments.

Description of the project and what problem is it solving:

We describe Algovera in three layers: (i) community, (ii) tools/libraries/integrations, and (iii) commercialisation. The Algovera community of data scientists is growing quickly. Last month, we brought our total number of funded AI projects (Squads) to 8 through Algovera Grants. We continue to train more data scientists on new workflows using Web3 tools through hacking sessions, which we are converting to courses. We are also building new tools, libraries and integrations to make it easier to launch AI x Web3 apps on Ocean. These include a Jupyter Lab extension to integrate MetaMask (and thus simplify the ocean.py workflows), a DAO infrastructure for collaborating on data science projects, libraries for datasets, models and storage, and several Web3 HuggingFace apps to onboard HuggingFace users. Finally, we are starting to commercialize through partnerships and received our first payment outside of Ocean grants.

Grant Deliverables:

Commercial

  • [✓] Set up application process for Algovera Freelance
  • [ ] Set up first Algovera Tournament
  • [ ] Complete first Freelance and Tournament projects with nCight
  • [ ] Setup database of work opportunities available to data scientists within Algovera

Tools/Libraries/Integrations

  • [ ] Write scripts for spinning up Project DAOs (Squads) for our newly-funded AI teams. This marks the first step towards an Algovera DAO framework.
  • [ ] Publish Jupyter Lab extension that integrates MetaMask (thus simplifying the ocean.py workflows), along with demonstrator video.
  • [ ] Create dataset catalogue for Algovera Datasets Library
  • [ ] Create plan for integrating Ocean algorithms with HuggingFace Hub (may require an Algovera Model Library)
  • [ ] Add functionality for buying data tokens on HuggingFace (e.g. after searching on our HuggingFace Space for the Ocean Marketplace)

Community

  • [ ] Set up funding process for new Algovera Squads
  • [ ] Write blog post on funding process for new Algovera Squads
  • [ ] Set up Notion pages for each new Algovera Squad
  • [ ] Plan the design and content of Algovera Academy (a streamlined course for training data scientists to perform data science in Web3)
  • [ ] Run weekly face anonymization hacking sessions with DataUnion
  • [ ] Continue running weekly data science DeFi hacking sessions
  • [ ] Documentation for Earn Track, Create Track & Join Track
  • [ ] Create Algovera Reddit account

Which category best describes your project?

Build / improve applications or integrations to Ocean

Which Fundamental Metric best describes your project?

Data Consume Volume

What is the final product?:

A data science platform with tools, libraries and integrations that make it easy to build, collaborate and monetize AI apps in Web3.

Value Add:

  1. Usage of Ocean

Data scientists are natural data consumers. Creating further tools, libraries and integrations (and making it easier for data scientists to onboard to Web3) will help to increase consume volume of data and algorithm tokens. Funding more data science projects will result in more new projects and assets using Ocean. Completing freelance work will help to develop raw data into algorithms and insights.

Funding Requested: $23k USD (we reduced this from previous requested amounts of $28k despite original plans to expand)

Proposal Wallet Address: 0x81e80B838e04644a93e4F3C701038889d3a1b95e

Have you previously received an OceanDAO Grant (Y/N)? Y

Team Website: www.algovera.ai

Twitter Handle: @richardblythman

Discord Handle: richardblythman | Algovera.ai#3425

Project lead Contact Email: richardblythman@gmail.com

Country of Residence: Ireland

Part 2 - Team

Core Team

All three of us are working full time on this project.

Richard Blythman

Hithesh Shaji

Keaton Kirkpatrick

Part 3 - Proposal Details

Project Deliverables - Category:

IF: Build / improve applications or integration to Ocean, then:

Code will be made available at https://github.com/AlgoveraAI.

If the project includes community engagement:

  • Running the campaign on social media for how many weeks?

We run many weekly events. These sessions are recorded, uploaded to our YouTube channel and publicised on Twitter and LinkedIn.

Project Deliverables - Roadmap

  • Any prior work completed thus far?

Last round deliverables:

  • [✓] Build Web3 wallet app on HuggingFace Spaces and make it easier to use
  • [✓] Create separate marketplace app on HuggingFace Spaces for searching and buying data/algorithm tokens
  • [✓] Fork the Ocean marketplace and add Algovera branding
  • [✓] First results from token engineering simulations for distributing value generated by algorithms
  • [✓] Set up custom compute provider on Ocean
  • [✓] Design hackathon program for partnering with projects that need data science in Web3 work (blog)
  • [✓] Produce documentation and roadmap on decentralized storage for AI applications
  • [✓] Advertise another team position
  • [✓] Discuss, vote and fund 4 more AI x Web3 projects as a community (blog)
  • [✓] Design and publish guidelines for becoming a contributor to Algovera
  • [✓] Set up Algovera newsletter (you can read previous versions here)
  • [✓] Set up docusaurus for Algovera Handbook
  • [✓] Complete Introduction, Vision and Orientation section of the Handbook
  • [✓] Migrate blog posts from Medium
  • [✓] Continue running weekly data science DeFi hacking sessions
  • [✓] Publish algorithm for predicting borrowing cost of popular DeFi protocols on the Ocean marketplace
  • [✓] Complete blog post on generative art hacking series through Gitcoin bounty
  • [✓] Incorporate in Singapore

Grants: We ran a voting round and decided to fund 7 more projects instead of 4. You can read the blog post here. Our friends at Akorn Regenerative Marketplace expressed interest in co-funding the study of profit sharing tokens for ML models and we will collaborate with them.

Hackathon: Algovera received its first payment outside of Ocean grants. Big moment! You can read the blog announcement here. We created a process for applying and have received more than 15 proposals for the role. The next steps are to interview and select winning applicants, and start development work.

HuggingFace Spaces: We built two new HuggingFace Spaces this month. The first is a Web3 wallet app native to Gradio. This allows data scientists to set up a Web3 wallet and check their balance, without installing MetaMask. This wallet can be used to play around with test tokens within HuggingFace Spaces and notebooks. The second app can be used for searching datasets and algorithms on the Ocean marketplace. The results are displayed in tiles to mimic the Ocean marketplace frontend.

Marketplace, Provider: We forked the Ocean marketplace and added Algovera branding. You can view it here. We also forked Provider and ran it locally.

DeFi Borrowing Cost Prediction: We continued our hacking sessions for developing an algorithm for predicting borrowing cost of popular DeFi protocols. You can check out the repo here. You can watch all of the recordings on our YouTube channel here. You can view the placeholder algorithm published on the Ocean marketplace here.

Blog posts and docs: We migrated our blog posts from Medium to our own docusaurus site. We wrote blog posts to announce our freelance and tournament project with nCight and to announce the results of our first grants round. Our Gitcoin bounty for summarising the generative art hacking sessions is also complete. We produced lots of docs including Introduction, Vision and Orientation section of the handbook, and guidelines for how to contribute to Algovera.

  • What is the project roadmap? That is: what are key milestones, and the target date for each milestone.

We have designed a road map up until Q4 2022. We have mapped out timelines for our grants, and our freelance project and tournament. We have a calendar for community events including hacking sessions, working groups (Pods) and town halls.

  • Please include the milestone: publish an article/tutorial explaining your project as part of the grant (eg medium, etc).

We will publish one blog post on the funding process for new Algovera Squads. We tend to write 2 to 3 blogs per month, as well as weekly newsletters.

  • Please include the team’s future plans and intentions.
    • Any maintenance?
    • Foreseen or possible additions?

We hope to develop many more algorithms and apps in different domains.

  • We are working on a face anonymization algorithm with DataUnion
  • We are planning a hackathon on brain computer interface (BCI) data with LYNX.
  • We are in talks with a DeFi project on running another tournament next month.

We also hope to create a data science app marketplace (similar to the popular HuggingFace Spaces on top of Ocean. Eventually, we envision something like scaffold.eth for data science apps.

#2

Thank you for submitting your proposal @richardblythman, It is now registered into Airtable and your Proposal has been accepted into R14.

All the best!

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#3

You have our support, great to hear your continued success and expansion. i’ve heard that you’ve also started collaborating with other teams within the Ocean community. great job! We’ve been watching your videos as well. since we’re not visibility palatable we won’t join your live video streams but you can be assured that our views will be counted by the youtube algo.

soon you’ll reach your escape velocity and the more ocean teams you bring along, the better for the community.

mPowered

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#4

Hello @richardblythman

Welcome back to the Ocean DAO voting rounds & I also commend you for regularly engaging with Ocean DAO.

Aside from the aforementioned info, I would also like to provide further feedback for the benefit of the community understanding.

  • Usage of Ocean & Viability of the project:

As a leading project that aims to bring more Data-scientists to Web3, it certainly shows that your project aims to add higher level of traction value towards Ocean & thanks again for that. You also have the track record to complete projects successfully with series of successful deliverables and being active in the Ocean DAO ecosystem and also interacting with other projects.

  • Community activeness & Contribution to the ecosystem:

As a recurring project and an active member in the community, you have shown sufficient activeness as part of the Ocean DAO ecosystem. We also notice that you have provided valuable feedback to other projects in the ecosystem as well.

On behalf of PG-WG, we wish you the best for the upcoming DAO voting round and looking forward to hear feedback on our Discord channel.

Cheers

Prakash | Project Guiding WG | Discord

prk-sig-3
^ Want a cool Sigil like this for yourself? Join the PG-WG Discord

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#5

[Deliverable Checklist]

  • [✓] Set up application process for Algovera Freelance
  • [✓] Set up first Algovera Tournament
  • [✓] Complete first Freelance project with nCight
  • [✓] Setup database of work opportunities available to data scientists within Algovera
  • [✓] Write scripts for spinning up Project DAOs (Squads) for our newly-funded AI teams. This marks the first step towards an Algovera DAO framework.
  • [✓] Publish Jupyter Lab extension that integrates MetaMask (thus simplifying the ocean.py workflows), along with demonstrator video and documentation.
  • [✓] Create dataset catalogue for Algovera Datasets Library
  • [✓] Create plan for integrating Ocean algorithms with HuggingFace Hub (may require an Algovera Model Library)
  • [✓] Add functionality for buying data tokens on HuggingFace (e.g. after searching on our HuggingFace Space for the Ocean Marketplace)
  • [✓] Set up funding process for new Algovera Squads
  • [✓] Write blog post on funding process for new Algovera Squads
  • [✓] Set up Notion pages for each new Algovera Squad
  • [✓] Plan the design and content of Algovera Academy (a streamlined course for training data scientists to perform data science in Web3)
  • [✓] Run weekly face anonymization hacking sessions with DataUnion (recordings here)
  • [✓] Continue running weekly data science DeFi hacking sessions
  • [✓] Documentation for Earn Track, Create Track & Join Track
  • [✓] Create Algovera Reddit account

Thanks @idiom-bytes.

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#6

Thank you for submitting your grant deliverables @richardblythman, your R14 proposal is now completed.

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