[Round 10 Proposal] Onshore Ocean Data Applications

Proposal Submission

Name of Project: Onshore OCEAN

Proposal in one sentence:

Extending Ocean Protocol with an eco-system that rewards contributors to data projects and an introduction to a data applications marketplace.

Description of the project and what problem is it solving:

Currently, there is a general lack of data scientists in the Ocean eco-system. At the same time, there is a demand side issue for datasets on the marketplace. We are onboarding data scientists to Ocean who are natural consumers of data. Web3 values ensure that data scientists have ownership over their creations, and also push towards decentralization of AI.

Visual Proposal


Grant Deliverables:

  • [ ] 3+ Data Applications created for 2 verticals: Humanitarian and Healthcare
  • [ ] Alpha Launch, which realizes prototype and UX Feedback
  • [ ] Expand user funnel to 100+ Leads

Which category best describes your project? Pick one.

  • [ ] Build / improve applications or integrations to Ocean

Which Fundamental Metric best describes your project? Pick one.

  • [ ] Data Consume Volume

What is the final product?:

A web app that provides a frictionless experience of exploring datasets and publishing algorithms on the Ocean Marketplace. Additionally, we want to extend the reach of the Ocean Protocol and allow for a marketplace of data applications. A DAO for data enthusiasts where data, models, and applications can be owned and governed. A breeding ground for ideas to grow between data providers, data solvers and app developers.

How does this project drive value to the “fundamental metric” (listed above) and the overall Ocean ecosystem?

Here’s a spreadsheet on competetition, chance of success, ROI for the first year.

Current funding is listed at the top (these are the amounts we received funding for each round + this round)

Our ROI Calculation is as follows:

(Market Share * Average Comp. Revenue / Grant Amount) * Sucess

This is >= ROI 1.0 for the worst case scenario.

The new deliverables will further increase the data consume volume by:

  1. Teaching data scientists how to publish algorithms to the Ocean marketplace. More useful algorithms should result in more data consume volume.
  2. C2D will enable computations that take longer than 60 seconds on private datasets, which should increase use cases and data consume volume.
  3. Marketing to data scientists will increase awareness about Ocean and may result in more investors in the token and eco-system.
  4. Providing a data applications will extend the usefulness of the underlying protocol

Funding Requested: (Amount of OCEAN your team is requesting - Round 10 Max @ $50,000 )


Proposal Wallet Address: (must have minimum 500 OCEAN in wallet to be eligible. This wallet is where you will receive the grant amount if selected).


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


Team Website:


Twitter Handle (if applicable):


Discord Handle (if applicable):


Project lead Contact Email:


Country of Residence:


Core Team ****

For each team member, give their name, role and background such as the following.

Julian Martinez

Constant Kouman

  • Role: Growth Hacker, Business Development, Data Application Developer
  • Relevant Credentials (e.g.):
  • Background/Experience:
    • Assistant Director at AmerisourceBergen (Fortune #8)
    • BI Developer for governments and consultancies

Tinesha Erskine

Project Deliverables - Category:

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

  • Data Applications will be hosted on our Alpha Site
  • The Alpha launch will be made public for all
  • User Funnel metrics will be communicated in town halls and our Notion page

Project Deliverables - Roadmap

  • Any prior work completed thus far?

Manta Ray Research: At first, we located the Manta Ray notebooks and got them running locally. We also did some digging to find out why they were retired. After talking to Trent, it turned out that they weren’t a worthwhile pursuit. Firstly, they were designed for use with public datasets. Ocean doesn’t really have a USP here compared with common HTTP of the internet. Also, these notebooks essentially showcased the functionality of ocean.py. There’s already documentation for that. Also, we think that this functionality should be hidden from a data scientist user as much as possible. Overall, we learned that the notebooks should show off the USPs of Ocean Protocol (e.g. developing on private datasets) for data science. We defined several interesting use cases for data scientists on our Notion page


PoC Notebooks: We created a JupyterHub instance here (ADD LINK) to host the notebooks (until our web app is up and running). This reduces the friction for onboarding data scientists by pre-installing packages like ocean.py and setting the config. The notebooks focus on teaching a workflow for data science on private datasets. We have uploaded some standard public datasets to the Rinkeby test net (see here). While these datasets are freely available online, data scientist can practice using the Ocean marketplace to learn about the process. They will then be able to apply this process to work with datasets that are not publicly available. For this round, we will add notebooks to show the workflow for exporting and uploading algorithms to the Ocean Marketplace.

Landing Page: We have just launched our landing page. Check it out here.

Wire Frames for Web App: We are moving towards an integrated web app to replace the hosted notebooks. You can check out the wire frames for the web app here. Have a look at the mood board here for some of our inspirations.

User Acquisition Plan: We have created a preliminary plan for acquiring users. You can check it out here.

Notion: We now have an extensive Notion project set up to help to improve transparency. You can check it out here and keep up with our progress. Of particular interest for OceanDAO is our deliverables tracking and our Kanban board.

Business Plan: We have begun working on a business plan. We started with mapping out the problems faced by Data Solvers and Data Providers. You can check it out here.

Alternate Future Summit: We will be showcasing and presenting at the conference. You can check out our showcase page here.

Kernel Block 4: We have just been accepted to the KB4 accelerator. We want to create a breeding ground for collaborations between data scientists and data providers.

Team Additions: We welcomed Hithesh, Contributor, and Tinesha, Contributor, to the team this month :slight_smile: Check out our team directory here.

Team Changes:


  • Core: Constant Kouman, Asst Dir. has joined as a core member and Growth Hacker
  • Core: Tinesha has joined full time as the Onshore OCEAN Product Manager


  • Core: Richard has left to pursue Kernal Block 4
  • Contributor: Hitesh has left to pursue Kernal Block 4

We hope to see some really cool progress from these two as they pursue this awesome opportunity.

Core member payout changes:

In order to incentivize work on a different psychological level, we will be implementing superfluid as our Core team payout platform. We hope to gather more insights from our approach and other opinions

Revenue Model, Marketing Plan, Compute to Data Models, and UX Research can be found here

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


  • Launch alpha site
  • Integrate in browser coding platform for new members of the Ocean Protocol
  • Create a data application marketplace utilizing Ocean Assets
  • Create a brand identity
  • Increased presence at in person events and hosted talks
  • Reach 100+ user signups for the platform (including prior traction sign ups)
  • Gather influence in the Data DAO space
  • Increased presence at Ocean Town Halls (min. 2 a month)
1 Like

Hello OnShore Team.

I enjoyed the ideas outlined in your proposal. We are planning to work on a case study with PhD students from the MBZ University for Artificial Intelligence in Abu Dhabi together with an Ocean community member, based in Dubai. Currently, many of these students use Kaggle to retrieve data to train their models and they are facing many challenges.

It would be great if we exchange on our ideas - we’d be happy to write a blog-post about this use-case and how OnShore innovates!

On another note, I believe your ROI estimation makes sense and seems realistic to me.

You’ve got our vote!

1 Like

Interesting presentation today in the DAO - looking forward to seeing your progress in development.
You have support from ResilientML.


That sounds great to me!

I know you mentioned Ocean Missions as well and love the direciton Scott is going. I would love to exchange ideas.

I will reach out in the Discord and we can try to whip somthing up.

Hey Gareth, thanks for the support! We hope to continue making traction and showcase our hard work to everyone.

Hi @MuddyDonut,

I’m just reviewing some proposals at a glance, and thought I’d share some observations:

  • You are requesting $48,000 USD, but your ROI calculations quoting the bang as 32,000 $OCEAN.
  • In addition, you are not reporting previously rewarded $OCEAN. Example: Your total buck has grown over the rounds.

For R10, $OCEAN sits at $0.75 USD

  • This means your 48,000 $USD request => 64,000 $OCEAN

I would expect your total buck to include previous $OCEAN received.
I would also expect your expected bang to change, in order to maintain an ROI>1.
I would appreciate your ROI formula being updated, and perhaps a timeline being presented for expected ROI to become positive.

All the best in R10!


I hear you! We’ll update our ROI and let the DAO know in Discord. Thanks for the look through.

1 Like

Thanks for the consideration @MuddyDonut!

Hey Idiom we went ahead and updated the ROI, let us know if you need clarification.

Hey OnShore,

We just submitted our vote for this proposal and good luck. Similar to other proposals, we believe you’re covering an important use-case.

If you have time, go ahead and review our Proposal on the Port. Let us know whether you have any comments.

Data Whale

1 Like

Hi Julian, Tinesha (and Constant),

Was great working with you in previous rounds.
Wishing you all the best in the voting.


1 Like

Hey Richard! Thanks for the kind thoughts :smiley:

We look forward to seeing what you will build!!

Proposal is in the right direction but it feels like 6 people working on this is too much too soon. I love ambition, but we should see value delivered over time and 2 straight months of 50,000 OCEAN feels rich. For this reason, I am downvoting but please do resubmit a more modest “ask” commensurate with what you’ve delivered and what you will deliver for next month.

Thanks for the feedback Trezor, we’ll definitely keep this in mind for our next round and show more traction.