DistributedDodge Data Delve

$124.49 crowdfunded from 49 people

$133.81 received from matching pools

50%
average score over 1 application evaluations
Enthusiastic open-source contributor seeks funding to conduct a three-part data analysis on Gitcoin Public Goods Funding's efficiency, analyzing on-chain data through Governance forum posts and Jupyter notebooks.

About Me

I am an enthusiast of open source that earned his first cryptocurrency through Gitcoin hackathon in 2019. I saw the project evolve over the years moving from Bounties and Hackathons towards Public Goods Funding.

Inspired by QED program I want to investigate on-chain data and produce forum posts coupled with Jupyter notebooks answering question: "Is taking part in Gitcoin Public Goods Funding a Good Deal?"

Once the round has actually started (10.10) expect first part of the report to be published on my twitter or Gitcoin forum profile.

Forward Funding

I am commited to conducting this data analysis part-time but nonetheless to a high standard. This takes time, effort and potentially a tiny bit of infra-spending so my strategy is to produce first part as temperature check and see if funding signals sufficient interest to carry on.

To that effect I am seeking funding to cover time spent on producing full three part report assembled as collection of forum posts:

  • Investigate "cost-to-apply" caused by on-chain application process.
  • Investigate "cost-of-forgery" concept by Gitcoin Passport Team.
  • Investigate "gas-efficiency" of Allo Stack.

I don't have a set goal in mind, but since this is a solo bounty every dollar helps me a great deal.

Examples of concrete questions to answer in each part:

  • What is rejection rate for any given Allo Stack round? How much gas is "wasted" by rejected applicants?
  • How much gas money was spent verification by users of Gitcoin passport?
  • How much gas money is collectively spent by donors? How much does L2 help here?

Combing all this information would provide us with objective, data-driven overview of Gitcoin efficiency. Such information would be very valuable to project owners and donors who may be uncertain if taking part in Grants is a good deal or not. It could also help compare Gitcoin against real and imagined future competition.

Success & Impact

Deliverable are what I do, success is what I hope will happen and impact is what I will use to measure if what I did was actually important in hindsight.

Deliverables:

  • 3-5 long-form Governance forum posts
  • 5-10 datasets
  • 5-10 analytical scripts woring across 3-chains
  • *possibly 1-2 dashboards depending on feedback

Success:

  • Produced data/analysis of use to Data/Passport/Allo teams
  • Produced analysis was posted with at least 1000 impressions.
  • Produced scripts, notebooks were forked 5 times.
  • Contributed 5 PRs to relevant projects like grants-ETL.

Impact:

  • Analysis is quoted to support/oppose governance proposal
  • Analysis is quoted to defend Gitcoin on twitter (lol)
  • Analysis or data is quoted by some other report

Past Performancee

I am seeking forward funding but I see no harm in enumerating past contributions in case someone wanted to donate on retro basis. All of this done on volountary basis.

Taking part, winning bounties, helping other contestants in Open Data Community organized Regen Rangers Hackathon. I also shared additional findings with head of Passport.

Partial credit for discovery of error in QF calculations during Beta Gitcoin Round ratification process.

Successfully advocated for greater transparency during GR18 ratification process. As side-effect of incorporating my feedback Sybil team managed to spot error in sybil defense calculations.

I contributed a single SQL query to grants-ETL.

Looking forward to any donations that would help me afford the time to grow this list a little bit further!

DistributedDodge Data Delve History

  • accepted into Gitcoin Citizens Round #2 11 months ago. 49 people contributed $124 to the project, and $134 of match funding was provided.

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