memoscan

0xe62d…a32e

All memos sent from and to 0xe62d…a32e.
0xe62d071e…a32esent to0xfb4a9654…df57·#18,721,891·0x8ac34dbb…2dce65
Excited to see this effort continue. I’d love to see the prop house increase their reach, and most importantly help builders promote their projects, leveraging the Purple community for testing and adoption.
0xe62d071e…a32esent to0xfb4a9654…df57·#18,708,527·0xbba954fb…812566
I appreciate this plan, however would like to see these types of events put under a single budget based on Purple strategy in the future. I would also like to see a plan for success metrics and accountability. best of luck to the team!
0xe62d071e…a32esent to0xfb4a9654…df57·#18,662,694·0x3df1a2e1…439814
As part of the proposal I’d like to see a blog post detailing the participants, what was built, and who the bounty winners were. I would also like to clarify that if developers don’t complete the bounties, then will those resources be returned to the DAO?
0xe62d071e…a32esent to0x6f3e6272…223d·#18,596,660·0x4768e3d4…1a8d6b
Any organization should move with agility and experiment, just not recklessly. Over the past few months, the fork settings have allowed Nouns to increase alignment, and lowering the threshold earlier enabled any stragglers to make a decision after seeing the near-term impact of the fork. Now, we can increase the fork value again and see the impact on both buying as well as alignment. Most importantly, we will see if the modeling done by the verbs team actually pans out -- or if there's another variable we should be considering.
0xe62d071e…a32esent to0xf790a5f5…1365·#18,520,834·0x64859249…ce684e
require-noun-age-to-fork-requesting-feedbackI think this is a great method to get better long-term alignment between for new members. If anything, you could also consider running this as an experiment (for X days or weeks) to see what the outcome is.
0xe62d071e…a32esent to0x6f3e6272…223d·#18,498,539·0x8394a874…8adaf1
These large teams are an impressive feat. I trust other Nouns who have a stronger repor, and encourage the proposers to consider creating an aligned organization. My main reservation is revenue model. I’d like to personally see a path of partnership with Nounish and esports as well as considering a type of subDAO structure in the future.
0xe62d071e…a32esent to0x6f3e6272…223d·#18,498,520·0xb9345f09…a37c0e
Although I’m a big fan of merch, it’s not clear to me from the prop what the path to success for sales beyond the immediate Noun community would look like. I will support this prop if we probably did pre-sales and a distribution partnership alongside Nounish, esports and/or the Nouns movie. Love the revenue model and although the design doesn’t speak to me personally, think you could reach a wide engaged audience - ride the viral wave in other channels and make sure pre-sales have a strong signal before committing to production.
0xe62d071e…a32esent to0x6f3e6272…223d·#18,498,497·0xd453cac7…29a07d
Communities should welcome those dedicated, who have sweat on their behalf. A year of work is exceptional and I support setting this precedent. Let us signal to all others that Nouns recognises your work and will welcome you as well.
0xe62d071e…a32esent to0x6f3e6272…223d·#18,485,426·0x1c080183…bc6099
# LET’S GET MAD (Meme Analysis Database + Proposer Pipeline Analytics) --- *“Is Nouns activity growing?” “Who is helping increase engagement and spreading the meme?” “Which proposals are driving growth?” “What’s our spend rate?” “How many builders are contributing to the Nouns ecosystem?” “Are the amount of proposal candidates increasing?”* ## **TL;DR** There are a lot of questions that the Nouns community needs data support on. We want to create a database that helps anyone answer these questions, and an example website on top to support a first analysis: *What is the proposer pipeline and how can Nouns best support builders?* The database will integrate activity across social channels and highlight which Nouns, advocates, and proposals have best supported the Noun’s meme propagation. Our data wrangling creative motto is: *Track Memes, Not (just) People.* As a starting point, this work will gather the following data: [1] **onchain** activity (supported by the Nouns subgraph) and [2] two sources of social media (**Farcaster** and **Instagram**). This data will be available for others to query and use to investigate additional questions. Within the scope of the work, we will also create a basic website including [3] a limited set of **general metrics** for context, and [4] **the first analysis website** focusing on the specific challenge of understanding the proposal conversion process. In this way, we will be the first “app analysis” built on the dataset. ## Background As of the moment, the Nouns’ community and audience members produce a wide variety of data. Over time, more data is likely to migrate onchain (e.g. similar to vote comments today) and data will be produced across even more digital localities. The *United World of Nouns* will have a wide-ranging data footprint. Combining data across these localities can become a powerful tool for proposal development and decision-making. However, as @Krel mentioned in their [Request for Proposers](https://www.notion.so/94dadff999ac493b9902aa002e4b296e?pvs=21): > *“Nouns DAO does not have a reliable way to measure ‘growth’ or ‘success’. Its not clear what should be measured, or what growth in the context of Nouns even means.”* > This project will create an initial repository of activity growth combining onchain and offchain data. We are long overdue to experiment on this front! ## Scope Overview The Noun Pulse has two components: - [A] the open database and - [B] a single-purpose website with general metrics and a first analysis In addition, we will include an analysis report explaining current trends, issues, and opportunities in the proposer pipeline. To begin, we will include onchain data available in the Nouns Subgraph and two social media channels: Farcaster and Instagram. We will then publish a selection of core metrics that provide clarity to Noun holders and the wider community. Most importantly, the underlying data pool (Meme Activity Database) will serve a step towards a data-driven Nouns culture, which community members and potential builders can use to find opportunities for proposal submissions. This should enable builders to bypass building a new database. Instead, we can amend it, expand it, or fork it. As a result, we can focus our energy on answering new business questions. Success of this project will be measured based on **data pool connections** (e.g. external usage of the Meme Activity Database), **web usage** (unique visitors), and **discussions** or proposals that successfully reference the data. This work will enable future analysis to include key derivative NFT projects (Gnars, LilNouns, cc0-lib) and other dominant social spaces (Discord, Discourse, X, Lens, etc). ## Product Components ![Components (1).png](https://hackmd.io/_uploads/SkelSB-7p.png) ### Meme Activity Database (a.k.a. The MAD) We’ve named the database the “Meme Activity Database.” The reason is that we don’t want to just track people; we want to track *********************************the content*********************************. Our ambition is that this database is an MVP aggregation of all-things Nouns, reliable **meme-data-as-a-service,** such that we can service a variety of new data-powered projects. As mentioned, this database will be open source and free access: anyone should be able to contribute to it (e.g. add a new source or table) and build on top of that. At the end of the day, we want to facilitate the use of data across the Nouns ecosystem. As the cc0 library enables media usage, the activity database enables tracking and impact analysis. The Web API interface will be available publicly distributed per specific sources (onchain Nouns, Farcaster, and others) as well as in aggregated form to enable the development of tools such as alerts, bots, and analytics dashboards. Data will be synchronized in real-time directly from the Nouns’ Subgraph, Farcaster, Instagram to an SQL database. The sync mechanism will be architected in a uniform adapter interface for easier future integration with other onchain data and offchain sources, such as Twitter, Discourse, Discord, Telegram, DeSo, and Lens. ## The Noun Pulse Website: General Metrics We believe that many Noun community members have a variety of needs. We will supply an overview of general metrics to serve as a source of truth for conversations. These include: **Example Onchain Metrics, Supporting Clarity on Arbitrage** - Treasury - Treasury Usage Rate (Monthly Spend) - Burn Value - Estimated Burn Value at Next Fork - Average Auction Price - Current Arbitrage Opportunity (3-day average auction price minus value at next fork) - Count of Unique Holders - Count of Active Holders (Unique Holders with Vote w/ Reason in past 30 days) **Example Proposer Pipeline Metrics, Supporting Clarity in Builder Ecosystem** - Proposer Pipeline (with addresses and available contact information, details in next section) - Conversion Rates from Stage to Stage - Excerpts of Builder Stories - Count of Prop House Submissions - Count and % of Prop House Submissions from New Builders - Count and % of Passes Prop House Submissions - Count of Candidates - Count and % of Candidates from New Builders - Count and % of Candidates converting to Onchain Proposals - Count of Proposals - Count and % of Proposals from New Builders - Count and % of Passed Proposals - Count of Unique Proposers - Count of Unique Funded Builders - Growth in Onchain Comments - Growth in Candidate Feedback - Growth in Prop Vote with Reason - Growth in Prop Updates **Example Offchain Metrics, Supporting Clarity in Nouns Reach** - Number of Posts - Total Engagement (Likes+Comments+Shares) - Engagement Rate (Ratio of Engagement to Posts) - Most Engaged Content - Total Followers - Total Followers with Onchain Identity - Follower Growth Rate (Updated based on API opportunity) ***Representative Image of General Metrics*** The design for the website will use assets from the cc0 library and default Noun design parameters from the main website noun.wtf ![Screenshot 2023-11-02 at 16.52.43.png](https://hackmd.io/_uploads/SyTCrHWm6.png) ## Alpha Analysis Report: The Proposer Pipeline The first iteration of the database will be focused to help address a key opportunity in the Nouns DAO: **attracting, shepherding, and retaining quality builders**. The data we select and analyze will be guided by this problem statement. ### **Analysis Context and Design** Every DAO has a funnel of builder activity. In the case of Nouns, we can roughly organize the participation process as: ![Proposer Journey Graphic (1).png](https://hackmd.io/_uploads/H10ZHHWQT.png) 1. Aware (Saw Nouns) 2. Curious (Engaged with Nouns, Offchain) 3. Audience (Engaged with Nouns, Onchain) 4. Voter (Vote with Reason) 5. Prop House Submitter (Submitted to the Garden) 6. Prop House Funded (Proposal Passed) 7. Candidate (Submitted Candidate Proposal) 8. Onchain Proposer (Submitted Onchain Proposal) 9. Funded Builder (Proposal Passed) 10. Committed Builder (Completed Proposal) 11. Multi-Proposal Builder (Multiple Proposals Passed) --- However, we currently don’t have clarity on the people involved throughout this proposal process, or where Nouns can focus on to coach builders and retain them. As Noun40 describes in this proposal’s feedback, there are many open questions. Some of ours include: - How many of the candidate props are from net new ppl? - Of the net new ppl, do their candidate props grow to be full props that pass (success cases) - How did those prop builders find us? (number will be so small you could just ask them) - *Note: We will document stories where data is not available* - What is the number of ppl that commented on the candidate proposal? - Is that quantity and participant of candidate feedback growing? - Are prop house builders in the garden round then submitting candidate proposals? If not, why? - Are builders returning to submit new proposals? If not, why? At the end of the day, ***“we want more net new quality prop builders and we want them to have success and a low drop off rate.” (Noun40)*** Our team would add: **we want those quality builders to come back.** --- Using this framework as a starting point, we can analyze the data, create different visuals, and validate the journey hypothesis. We understand this may not be trivial and some data or identity mapping may not be available. Data will be complimented with builder stories. ![Screenshot 2023-11-02 at 16.50.42.png](https://hackmd.io/_uploads/HJFvSrbXT.png) ### **Analysis Considerations** As part of the deliverable, we will also include documented business rules underlying the analysis. For example, we will include what means if a builder is net-new. This is not necessarily trivial since we want to avoid counting an ethereum address as “net-new” if it’s the same builder but submitting an application with a new ethereum address. Each of these business rules will be discussed openly throughout the work to ensure the Noun community has opportunity to provide feedback. ### **Analysis Outputs: A Written Report** Creating graphs and metrics is not enough for action. As a result, the scope of the analysis will include a **written report (In Notion or similar)** with recommendations. The intention is to test out the usefulness of the database and the website — to build for action. In this case, we will understand where the proposer pipeline issues are, support them with data, and provide tangible advice. For example, insights may include ways to identify potential builders earlier, and help them find a Noun-sponsor prior to a candidate proposal submission; imagine if another group of Nouns community members (not just holders), offered to shepherd builders in the proposal process, similar to gardeners. These insights will be framed as RFPs (**Request for Proposals**), such that the Nouns community has clearer direction on where to invest to strengthen the proposer pipeline. ## Product Roadmap The execution of this project will be done in an iterative fashion. By building in public and getting ongoing feedback, we can deliver what the community needs, and data that will support Nouns decisions. **Iterative Phases:** - **Phase 1:** Deliver alpha analysis plan outline and approach. Deliver mock-up UI for web application. Deliver database raw data components and MVP. Host open Q&A with Nouns (e.g. via Aburra) to gather community feedback. - **Phase 2:** Deliver basic UI w/ metrics. Deliver initial list of insights from analysis. Provide update on database. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 3:** Deliver UI updates. Deliver builder stories. Provide demo of database queries. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 4:** Complete UI polishing and metrics calibration. Host open Q&A (e.g. via Aburra) to celebrate launch and discuss future analytics (where next?). ## An Ambitious Vision This project aims to uncover what “Nouns-Native” analytics could look like, and what data infrastructure is necessary to feed this analytics into the broader Nouns governance and participation process. We’re certain there will be other innovations along the way. After all, we need to address challenges in crossing the web3-to-web2 data pipeline chasm. Is it possible? We think so. Fortunately, the team is not alone. They have a wide array of connections with governance leaders across the DAO space: Optimism, Purple, Forefront, Radworks, SeedClub, FWB, Cabin, and others. Nouns is a place for ambitious ideas, and we are an ambitious team. ## Team This project will be led and executed by Rafa Fernandez (Farcaster: @rafa) and Rafi Gutkowski (Farcaster: @rafi). - Rafa Fernandez is a community architect with a focus on building [Digital Public Utilities](https://www.notion.so/General-Networks-e4615b9b52294f8bab34a82b47023d11?pvs=21). He has decade of experience in corporate analytics and studied materials-science and engineering. He is the founder of Folklore (Folklore.Institute), a community that curates and commissions research on digital cultures. Most recently, he was part of the Summer of Protocols research program looking at [online swarms](https://www.notion.so/41c114211ac045f087c44c16bd993748?pvs=21). Previous to the program he worked at Mirror where he worked in creator partnerships and community development. - Rafi Gutkowski is a software engineer and data scientist ([libred.org](https://libred.org/), [LinkedIn](http://linkedin.com/in/rgutkowski)). He is building [Farway](http://farway.org), a Farcaster meta-client for social analytics. He started mining bitcoin in 2015 but only after exiting from his recent startup, did he double down on web3. Since then Rafi has been working on sementic analysis of decentralized social graphs, as well as creating web3-web2 bridges, such as Folklore’s web3-signature to feed [broadcast applet](https://www.notion.so/Folklore-5d34757913064064b87119c4593eda74?pvs=21). ## Funding We are a stream of 22.5 ETH to fund this project over 10 weeks. The funds will be allocated to a two-person team (Rafa and Rafi). They are split roughly 25-75 between planning and iterative engineering. There is about a 40-40-10 between data engineering, analysis + visuals, and handoff. There is approximately 10% reserved for bugs and issue resolution. We expect that once the initial traunch of data engineering and visuals is complete, then we can make a decision on what the community needs more of (if anything), such as expanded data, or expanded analysis ## Our Commitments - We commit to posting updates on [updates.wtf](https://updates.wtf/) with sprint plan and outcomes, in alignment with each of the community Q&A feedback sessions. - We commit to cancelling the stream based on community feedback. - We commit to executing this work as an open-source project, such that other onchain communities and organizations can benefit. ## Other Notes This proposal was built based on the Basic Nouns Proposal Template, built by Rafa and available here: https://hackmd.io/@rafathebuilder/BkPAmHZbp If you’d like to learn more about this proposal, the first Q&A conversation on Aburra is available here: https://youtu.be/_dr2yZulMGUThank you Noun40 for the extensive feedback. We've updated the scope and approach based on your input to increase the focus on a specific problem statement as well as clarify how the database should be the foundation for other analysis as well.
0xe62d071e…a32esent to0x6f3e6272…223d·#18,470,545·0x4a06dad4…8cb16f
# The Noun Pulse: Meme Analysis Database and Analytics - Updated EDIT: We've updated this proposal based on community feedback. Looking forward to your thoughts! --- *“Is Nouns activity growing?” “Who is helping increase engagement and spreading the meme?” “Which proposals are driving growth?” “What’s our spend rate?” “How many builders are contributing to the Nouns ecosystem?” “Are the amount of proposal candidates increasing?”* ## **TL;DR** We aim to create a single-purpose website where Nouns activity metrics are published. It will integrate activity across social channels and highlight which Nouns, advocates, and proposals have best supported the Noun’s meme propagation. Our creative motto is: *Track Memes, Not People.* As a starting point, this proposal focuses on [1] onchain activity (supported by the Nouns subgraph), [2] two sources of social media (Farcaster and Instagram), and [3] a limited set of metrics — such as proposal submissions, votes, comments, posts, and engagement. Opportunistically, we will incorporate additional sources and expand the set of metrics. ## Background As of the moment, the Nouns’ community and audience members produce a wide variety of data. Over time, more data is likely to migrate onchain (e.g. similar to vote comments today) and data will be produced across even more digital localities. The *United World of Nouns* will have a wide-ranging data footprint. Combining data across these localities can become a powerful tool for proposal development and decision-making. However, as @Krel mentioned in their [Request for Proposers](https://www.notion.so/Nouns-DAO-Request-for-Proposers-94dadff999ac493b9902aa002e4b296e?pvs=21): > *“Nouns DAO does not have a reliable way to measure ‘growth’ or ‘success’. Its not clear what should be measured, or what growth in the context of Nouns even means.”* > This project will create an initial repository of activity growth combining onchain and offchain data. We are long overdue to experiment on this front! ## Scope The metrics tracker will be in the form of a single-purpose web application. To begin, we will include onchain data available in the Nouns Subgraph and two social media channels: Farcaster and Instagram. We will publish a selection of core metrics that provide clarity to Noun holders and the wider community. Most importantly, the underlying data pool (Meme Activity Database) will serve a first step towards a data-driven Nouns culture, which community members and potential builders can use to find opportunities for proposal submissions. Success of this project will be measured based on web application usage (unique visitors), proposal references (e.g. This project will increase X metric supporting Noun activity growth), and data pool connections (e.g. external usage of the Meme Activity Database). As a stretch goal, we will look to expand the data sources, for example including key derivative NFT projects (Gnars, LilNouns, cc0-lib) and other dominant social spaces (Discord, Discourse, X, Lens, etc). *Note: X (formerly Twitter) has been deprioritized due to its cost ($5k per month) until initiative is proven useful. It would be included in future proposals.* *Note: Discord has been deprioritized due to its fragmentation (there multiple Nouns servers) until initiative is proven useful. It would be included in future proposals.* ## Product Components ### Whenever we want to test our internet speed, we can easily go to a speed test website. If we want to see how our activity on X (formerly Twitter), we can go to profile analytics. **Where do we go to check how the Nouns ecosystem is growing?** We go to *.* ![](https://hackmd.io/_uploads/ByD5JEHfp.png) The Pulse is a single purpose website showcasing onchain and offchain activity metrics. This includes public conversations related to the **********************United World of Nouns.********************** The main graph, which we are currently calling *“Activity Momentum”* will showcase daily activity growth, a proxy for the Noun meme adoption and mind-share online. Our data analytics approach will combine methodologies from (1) traditional media broadcasting (e.g. combining data like number of views, replies, likes, proposal submissions, unique voters, etc.), (2) crypto-native metrics common across DAOs, and (3) materials science and engineering (read more about how engineers develop [material selection indexes here](https://en.wikipedia.org/wiki/Material_selection)). ![](https://hackmd.io/_uploads/HJSJgVrGp.png) Data will be synchronized in real-time directly from the Nouns’ Subgraph, Farcaster, Instagram to an SQL database. The sync mechanism will be architected in a uniform adapter interface for easier future integration with other onchain data and offchain sources, such as Twitter, Discourse, Discord, Telegram, DeSo, and Lens. **Example Onchain Metrics:** - Treasury - Treasury Usage Rate (Monthly Spend) - Burn Value - Candidate Props Growth - Proposal Submissions Growth - Active Proposals - Percent of Proposals Funded - Total Unique Builders - Average Auction Price **Example Offchain Metrics:** - Number of Posts - Total Engagement (Likes+Comments+Shares) - Engagement Rate (Ratio of Engagement to Posts) - Most Engaged Content - Total Followers - Follower Growth Rate (Updated based on API opportunity) - Noggles Score: Count of posts using “⌐◨-◨” on Farcaster* **In the first phase it won’t be possible to index Instagram posts by content, only be hashtags. As a result, the Noggles Score won’t be able to include Instagram posts.* ### Meme Activity Database (a.k.a. The MAD) Curcially, the product’s underlying data model will be available for others to query and contribute to. That way, others can embed the index into their own Noun interfaces. Anyone should be able to get clean and reliable **meme-data-as-a-service** to support a diversity of Noun initiatives. Imagine a world where active proposals have conversation hype trackers, or ongoing projects can easily see total impressions across social media channels. At the end of the day, we want to facilitate the use of data across the Nouns ecosystem. As the cc0 library enables media usage, the activity database enables tracking and impact analysis. The Web API interface will be available publicly in the form of parametrizable JSON endpoints. The data will be distributed per specific sources (onchain Nouns, Farcaster, and others) as well as in aggregated form to enable the development of tools such as alerts, bots, and analytics dashboards. ## Product Roadmap The execution of this project will be done in an iterative fashion. By building in public and getting ongoing feedback, we can deliver what the community needs, and data that will support Nouns decisions. **Iterative Phases:** - **Phase 1:** Deliver basic UI w/ limited branding and processed Farcaster data displayed in form of metrics. Deliver mock-up UI for onchain metrics and Instagram metrics. Host open Q&A with Nouns (e.g. via Aburra) to gather community feedback. - **Phase 2:** Deliver basic UI w/ Farcaster metric feedback, plus Noun Subgraph indexing and onchain metrics. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 3:** Deliver basic UI w/ Farcaster, Onchain metric feedback, and Instagram metrics for specific accounts and hashtags. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 4:** Complete UI polishing and metrics calibration. Host open Q&A (e.g. via Aburra) to celebrate launch and discuss future opportunities (where next). ## An Ambitious Vision This project aims to uncover what “Nouns-Native” analytics could look like, and what data infrastructure is necessary to feed this analytics into the broader Nouns governance and participation process. We’ve already intuited that we want to ***Track*** ***Memes, Not People*** — and we’re certain there will be other innovations along the way. After all, we need to address challenges in crossing the web3-to-web2 data pipeline chasm. Is it possible? We think so. Nouns is a place for ambitious ideas, and we are an ambitious team. ## Team This project will be led and executed by Rafa Fernandez (Farcaster: @rafa) and Rafi Gutkowski (Farcaster: @rafi). - Rafa Fernandez is a community architect with a focus on building [Digital Public Utilities](https://www.notion.so/General-Networks-e4615b9b52294f8bab34a82b47023d11?pvs=21). He has decade of experience in corporate analytics and studied materials-science and engineering. He is the founder of Folklore (Folklore.Institute), a community that curates and commissions research on digital cultures. Most recently, he was part of the Summer of Protocols research program looking at [online swarms](https://www.notion.so/Welcome-to-the-Swarm-41c114211ac045f087c44c16bd993748?pvs=21). Previous to the program he worked at Mirror where he worked in creator partnerships and community development. - Rafi Gutkowski is a software engineer and data scientist ([libred.org](https://libred.org/), [LinkedIn](http://linkedin.com/in/rgutkowski)). He started mining bitcoin in 2015 but only after exiting from his recent startup, did he double down on web3. Since then Rafi has been working on sementic analysis of decentralized social graphs, as well as creating web3-web2 bridges, such as Folklore’s web3-signature to feed [broadcast applet](https://www.notion.so/Folklore-5d34757913064064b87119c4593eda74?pvs=21). ## Funding We are a stream of 22.5 ETH to fund this project over approximately 10 weeks. The funds will be allocated to a two-person team (Rafa and Rafi). They are split roughly 25-75 between planning and iterative engineering. There is about a 40-40-10 between data engineering, visuals and handoff. There is approximately 10% reserved for bugs and issue resolution. We expect that once the initial traunch of data engineering and visuals is complete, then we can make a decision on what the community needs more of (if anything), such as expanded data, or expanded analysis ## Our Commitments - We commit to posting updates on [updates.wtf](https://updates.wtf/) with sprint plan and outcomes, in alignment with each of the community Q&A feedback sessions. - We commit to cancelling the stream based on community feedback. - We commit to executing this work as an open-source project, such that other onchain communities and organizations can benefit. ## Other Notes This proposal was built based on the Basic Nouns Proposal Template, built by Rafa and available here: https://hackmd.io/@rafathebuilder/BkPAmHZbp If you’d like to learn more about this proposal, the first Q&A conversation on Aburra is available here: https://youtu.be/_dr2yZulMG
0xe62d071e…a32esent to0xf790a5f5…1365·#18,470,214·0x3511c400…78fd21
# The Noun Pulse: Meme Analysis Database and Analytics - Updated EDIT: We've updated this proposal based on community feedback. Looking forward to your thoughts! --- *“Is Nouns activity growing?” “Who is helping increase engagement and spreading the meme?” “Which proposals are driving growth?” “What’s our spend rate?” “How many builders are contributing to the Nouns ecosystem?” “Are the amount of proposal candidates increasing?”* ## **TL;DR** We aim to create a single-purpose website where Nouns activity metrics are published. It will integrate activity across social channels and highlight which Nouns, advocates, and proposals have best supported the Noun’s meme propagation. Our creative motto is: *Track Memes, Not People.* As a starting point, this proposal focuses on [1] onchain activity (supported by the Nouns subgraph), [2] two sources of social media (Farcaster and Instagram), and [3] a limited set of metrics — such as proposal submissions, votes, comments, posts, and engagement. Opportunistically, we will incorporate additional sources and expand the set of metrics. ## Background As of the moment, the Nouns’ community and audience members produce a wide variety of data. Over time, more data is likely to migrate onchain (e.g. similar to vote comments today) and data will be produced across even more digital localities. The *United World of Nouns* will have a wide-ranging data footprint. Combining data across these localities can become a powerful tool for proposal development and decision-making. However, as @Krel mentioned in their [Request for Proposers](https://www.notion.so/Nouns-DAO-Request-for-Proposers-94dadff999ac493b9902aa002e4b296e?pvs=21): > *“Nouns DAO does not have a reliable way to measure ‘growth’ or ‘success’. Its not clear what should be measured, or what growth in the context of Nouns even means.”* > This project will create an initial repository of activity growth combining onchain and offchain data. We are long overdue to experiment on this front! ## Scope The metrics tracker will be in the form of a single-purpose web application. To begin, we will include onchain data available in the Nouns Subgraph and two social media channels: Farcaster and Instagram. We will publish a selection of core metrics that provide clarity to Noun holders and the wider community. Most importantly, the underlying data pool (Meme Activity Database) will serve a first step towards a data-driven Nouns culture, which community members and potential builders can use to find opportunities for proposal submissions. Success of this project will be measured based on web application usage (unique visitors), proposal references (e.g. This project will increase X metric supporting Noun activity growth), and data pool connections (e.g. external usage of the Meme Activity Database). As a stretch goal, we will look to expand the data sources, for example including key derivative NFT projects (Gnars, LilNouns, cc0-lib) and other dominant social spaces (Discord, Discourse, X, Lens, etc). *Note: X (formerly Twitter) has been deprioritized due to its cost ($5k per month) until initiative is proven useful. It would be included in future proposals.* *Note: Discord has been deprioritized due to its fragmentation (there multiple Nouns servers) until initiative is proven useful. It would be included in future proposals.* ## Product Components ### Whenever we want to test our internet speed, we can easily go to a speed test website. If we want to see how our activity on X (formerly Twitter), we can go to profile analytics. **Where do we go to check how the Nouns ecosystem is growing?** We go to *.* ![](https://hackmd.io/_uploads/ByD5JEHfp.png) The Pulse is a single purpose website showcasing onchain and offchain activity metrics. This includes public conversations related to the **********************United World of Nouns.********************** The main graph, which we are currently calling *“Activity Momentum”* will showcase daily activity growth, a proxy for the Noun meme adoption and mind-share online. Our data analytics approach will combine methodologies from (1) traditional media broadcasting (e.g. combining data like number of views, replies, likes, proposal submissions, unique voters, etc.), (2) crypto-native metrics common across DAOs, and (3) materials science and engineering (read more about how engineers develop [material selection indexes here](https://en.wikipedia.org/wiki/Material_selection)). ![](https://hackmd.io/_uploads/HJSJgVrGp.png) Data will be synchronized in real-time directly from the Nouns’ Subgraph, Farcaster, Instagram to an SQL database. The sync mechanism will be architected in a uniform adapter interface for easier future integration with other onchain data and offchain sources, such as Twitter, Discourse, Discord, Telegram, DeSo, and Lens. **Example Onchain Metrics:** - Treasury - Treasury Usage Rate (Monthly Spend) - Burn Value - Candidate Props Growth - Proposal Submissions Growth - Active Proposals - Percent of Proposals Funded - Total Unique Builders - Average Auction Price **Example Offchain Metrics:** - Number of Posts - Total Engagement (Likes+Comments+Shares) - Engagement Rate (Ratio of Engagement to Posts) - Most Engaged Content - Total Followers - Follower Growth Rate (Updated based on API opportunity) - Noggles Score: Count of posts using “⌐◨-◨” on Farcaster* **In the first phase it won’t be possible to index Instagram posts by content, only be hashtags. As a result, the Noggles Score won’t be able to include Instagram posts.* ### Meme Activity Database (a.k.a. The MAD) Curcially, the product’s underlying data model will be available for others to query and contribute to. That way, others can embed the index into their own Noun interfaces. Anyone should be able to get clean and reliable **meme-data-as-a-service** to support a diversity of Noun initiatives. Imagine a world where active proposals have conversation hype trackers, or ongoing projects can easily see total impressions across social media channels. At the end of the day, we want to facilitate the use of data across the Nouns ecosystem. As the cc0 library enables media usage, the activity database enables tracking and impact analysis. The Web API interface will be available publicly in the form of parametrizable JSON endpoints. The data will be distributed per specific sources (onchain Nouns, Farcaster, and others) as well as in aggregated form to enable the development of tools such as alerts, bots, and analytics dashboards. ## Product Roadmap The execution of this project will be done in an iterative fashion. By building in public and getting ongoing feedback, we can deliver what the community needs, and data that will support Nouns decisions. **Iterative Phases:** - **Phase 1:** Deliver basic UI w/ limited branding and processed Farcaster data displayed in form of metrics. Deliver mock-up UI for onchain metrics and Instagram metrics. Host open Q&A with Nouns (e.g. via Aburra) to gather community feedback. - **Phase 2:** Deliver basic UI w/ Farcaster metric feedback, plus Noun Subgraph indexing and onchain metrics. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 3:** Deliver basic UI w/ Farcaster, Onchain metric feedback, and Instagram metrics for specific accounts and hashtags. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 4:** Complete UI polishing and metrics calibration. Host open Q&A (e.g. via Aburra) to celebrate launch and discuss future opportunities (where next). ## An Ambitious Vision This project aims to uncover what “Nouns-Native” analytics could look like, and what data infrastructure is necessary to feed this analytics into the broader Nouns governance and participation process. We’ve already intuited that we want to ***Track*** ***Memes, Not People*** — and we’re certain there will be other innovations along the way. After all, we need to address challenges in crossing the web3-to-web2 data pipeline chasm. Is it possible? We think so. Nouns is a place for ambitious ideas, and we are an ambitious team. ## Team This project will be led and executed by Rafa Fernandez (Farcaster: @rafa) and Rafi Gutkowski (Farcaster: @rafi). - Rafa Fernandez is a community architect with a focus on building [Digital Public Utilities](https://www.notion.so/General-Networks-e4615b9b52294f8bab34a82b47023d11?pvs=21). He has decade of experience in corporate analytics and studied materials-science and engineering. He is the founder of Folklore (Folklore.Institute), a community that curates and commissions research on digital cultures. Most recently, he was part of the Summer of Protocols research program looking at [online swarms](https://www.notion.so/Welcome-to-the-Swarm-41c114211ac045f087c44c16bd993748?pvs=21). Previous to the program he worked at Mirror where he worked in creator partnerships and community development. - Rafi Gutkowski is a software engineer and data scientist ([libred.org](https://libred.org/), [LinkedIn](http://linkedin.com/in/rgutkowski)). He started mining bitcoin in 2015 but only after exiting from his recent startup, did he double down on web3. Since then Rafi has been working on sementic analysis of decentralized social graphs, as well as creating web3-web2 bridges, such as Folklore’s web3-signature to feed [broadcast applet](https://www.notion.so/Folklore-5d34757913064064b87119c4593eda74?pvs=21). ## Funding We are a stream of 22.5 ETH to fund this project over approximately 10 weeks. The funds will be allocated to a two-person team (Rafa and Rafi). They are split roughly 25-75 between planning and iterative engineering. There is about a 40-40-10 between data engineering, visuals and handoff. There is approximately 10% reserved for bugs and issue resolution. We expect that once the initial traunch of data engineering and visuals is complete, then we can make a decision on what the community needs more of (if anything), such as expanded data, or expanded analysis ## Our Commitments - We commit to posting updates on [updates.wtf](https://updates.wtf/) with sprint plan and outcomes, in alignment with each of the community Q&A feedback sessions. - We commit to cancelling the stream based on community feedback. - We commit to executing this work as an open-source project, such that other onchain communities and organizations can benefit. ## Other Notes This proposal was built based on the Basic Nouns Proposal Template, built by Rafa and available here: https://hackmd.io/@rafathebuilder/BkPAmHZbp If you’d like to learn more about this proposal, the first Q&A conversation on Aburra is available here: https://youtu.be/_dr2yZulMGthe-noun-pulseUpdated Title for clarity and streaming terms to align with calendar
0xe62d071e…a32esent to0xf790a5f5…1365·#18,470,089·0xc0a2170b…d4af50
the-noun-pulseHi Everyone, Thank you for your feedback. Rafi and I have updated the proposal and would love for you to review once again. Key Changes: 1. We've opted to bump the Nouns Race Leaderboard and invest in more offchain analytics instead. 2. We've decreased the effort requirement from 25 ETH to 22.5, given that we've decreased the overall scope a bit. 3. We've updated the request to be streaming instead of lump payment, and added key milestones. Specifically, we're committing to ongoing Q&A with the community for feedback.
0xe62d071e…a32esent to0x6f3e6272…223d·#18,469,529·0x4256be19…05319d
The work that went into this proposal is evident. Example art, the beginning of the story, and milestone plan. I'd recommend a commitment to ongoing proposal updates and would prefer if this was streamed payment instead of a 1-time budget request. I would recommend quantifying what success looks like. This might look like number of purchases or downloads. If you get it done by next year, it would be a great holiday gift for many. Lastly: Thank you for doing work in Spanish. Being able to make Nouns accessible is something I am a huge proponent of.
0xe62d071e…a32esent to0x6f3e6272…223d·#18,469,501·0x9ada5bab…37949d
Mobilizing active advocates (regardless of purchasing power) is the cornerstone of community development. I think this is one experiment we should try, alongside many others, to find value-aligned people. I am empathetic with the idea of people choosing their own Nouns, but think that it's fine for a version 2 if this MVP is successful. I would encourage the proposers to quantify what success looks like (e.g. votes with reason, engagement, and having a retro), as well as putting additional terms on these Nouns such as no forking or selling within first 6 months or more. Again, ideas for improvements on top of the initial idea.
0xe62d071e…a32esent to0xf790a5f5…1365·#18,420,103·0x07c687d6…e0a235
# The Noun Pulse EDIT: We've updated this proposal based on community feedback. Looking forward to your thoughts! --- *“Is Nouns activity growing?” “Who is helping increase engagement and spreading the meme?” “Which proposals are driving growth?” “What’s our spend rate?” “How many builders are contributing to the Nouns ecosystem?” “Are the amount of proposal candidates increasing?”* ## **TL;DR** We aim to create a single-purpose website where Nouns activity metrics are published. It will integrate activity across social channels and highlight which Nouns, advocates, and proposals have best supported the Noun’s meme propagation. Our creative motto is: *Track Memes, Not People.* As a starting point, this proposal focuses on [1] onchain activity (supported by the Nouns subgraph), [2] two sources of social media (Farcaster and Instagram), and [3] a limited set of metrics — such as proposal submissions, votes, comments, posts, and engagement. Opportunistically, we will incorporate additional sources and expand the set of metrics. ## Background As of the moment, the Nouns’ community and audience members produce a wide variety of data. Over time, more data is likely to migrate onchain (e.g. similar to vote comments today) and data will be produced across even more digital localities. The *United World of Nouns* will have a wide-ranging data footprint. Combining data across these localities can become a powerful tool for proposal development and decision-making. However, as @Krel mentioned in their [Request for Proposers](https://www.notion.so/Nouns-DAO-Request-for-Proposers-94dadff999ac493b9902aa002e4b296e?pvs=21): > *“Nouns DAO does not have a reliable way to measure ‘growth’ or ‘success’. Its not clear what should be measured, or what growth in the context of Nouns even means.”* > This project will create an initial repository of activity growth combining onchain and offchain data. We are long overdue to experiment on this front! ## Scope The metrics tracker will be in the form of a single-purpose web application. To begin, we will include onchain data available in the Nouns Subgraph and two social media channels: Farcaster and Instagram. We will publish a selection of core metrics that provide clarity to Noun holders and the wider community. Most importantly, the underlying data pool (Meme Activity Database) will serve a first step towards a data-driven Nouns culture, which community members and potential builders can use to find opportunities for proposal submissions. Success of this project will be measured based on web application usage (unique visitors), proposal references (e.g. This project will increase X metric supporting Noun activity growth), and data pool connections (e.g. external usage of the Meme Activity Database). As a stretch goal, we will look to expand the data sources, for example including key derivative NFT projects (Gnars, LilNouns, cc0-lib) and other dominant social spaces (Discord, Discourse, X, Lens, etc). *Note: X (formerly Twitter) has been deprioritized due to its cost ($5k per month) until initiative is proven useful. It would be included in future proposals.* *Note: Discord has been deprioritized due to its fragmentation (there multiple Nouns servers) until initiative is proven useful. It would be included in future proposals.* ## Product Components ### Whenever we want to test our internet speed, we can easily go to a speed test website. If we want to see how our activity on X (formerly Twitter), we can go to profile analytics. **Where do we go to check how the Nouns ecosystem is growing?** We go to *.* ![](https://hackmd.io/_uploads/ByD5JEHfp.png) The Pulse is a single purpose website showcasing onchain and offchain activity metrics. This includes public conversations related to the **********************United World of Nouns.********************** The main graph, which we are currently calling *“Activity Momentum”* will showcase daily activity growth, a proxy for the Noun meme adoption and mind-share online. Our data analytics approach will combine methodologies from (1) traditional media broadcasting (e.g. combining data like number of views, replies, likes, proposal submissions, unique voters, etc.), (2) crypto-native metrics common across DAOs, and (3) materials science and engineering (read more about how engineers develop [material selection indexes here](https://en.wikipedia.org/wiki/Material_selection)). ![](https://hackmd.io/_uploads/HJSJgVrGp.png) Data will be synchronized in real-time directly from the Nouns’ Subgraph, Farcaster, Instagram to an SQL database. The sync mechanism will be architected in a uniform adapter interface for easier future integration with other onchain data and offchain sources, such as Twitter, Discourse, Discord, Telegram, DeSo, and Lens. **Example Onchain Metrics:** - Treasury - Treasury Usage Rate (Monthly Spend) - Burn Value - Candidate Props Growth - Proposal Submissions Growth - Active Proposals - Percent of Proposals Funded - Total Unique Builders - Average Auction Price **Example Offchain Metrics:** - Number of Posts - Total Engagement (Likes+Comments+Shares) - Engagement Rate (Ratio of Engagement to Posts) - Most Engaged Content - Total Followers - Follower Growth Rate (Updated based on API opportunity) - Noggles Score: Count of posts using “⌐◨-◨” on Farcaster* **In the first phase it won’t be possible to index Instagram posts by content, only be hashtags. As a result, the Noggles Score won’t be able to include Instagram posts.* ### Meme Activity Database (a.k.a. The MAD) Curcially, the product’s underlying data model will be available for others to query and contribute to. That way, others can embed the index into their own Noun interfaces. Anyone should be able to get clean and reliable **meme-data-as-a-service** to support a diversity of Noun initiatives. Imagine a world where active proposals have conversation hype trackers, or ongoing projects can easily see total impressions across social media channels. At the end of the day, we want to facilitate the use of data across the Nouns ecosystem. As the cc0 library enables media usage, the activity database enables tracking and impact analysis. The Web API interface will be available publicly in the form of parametrizable JSON endpoints. The data will be distributed per specific sources (onchain Nouns, Farcaster, and others) as well as in aggregated form to enable the development of tools such as alerts, bots, and analytics dashboards. ## Product Roadmap The execution of this project will be done in an iterative fashion. By building in public and getting ongoing feedback, we can deliver what the community needs, and data that will support Nouns decisions. **Iterative Phases:** - **Phase 1:** Deliver basic UI w/ limited branding and processed Farcaster data displayed in form of metrics. Deliver mock-up UI for onchain metrics and Instagram metrics. Host open Q&A with Nouns (e.g. via Aburra) to gather community feedback. - **Phase 2:** Deliver basic UI w/ Farcaster metric feedback, plus Noun Subgraph indexing and onchain metrics. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 3:** Deliver basic UI w/ Farcaster, Onchain metric feedback, and Instagram metrics for specific accounts and hashtags. Host open Q&A (e.g. via Aburra) to gather community feedback. - **Phase 4:** Complete UI polishing and metrics calibration. Host open Q&A (e.g. via Aburra) to celebrate launch and discuss future opportunities (where next). ## An Ambitious Vision This project aims to uncover what “Nouns-Native” analytics could look like, and what data infrastructure is necessary to feed this analytics into the broader Nouns governance and participation process. We’ve already intuited that we want to ***Track*** ***Memes, Not People*** — and we’re certain there will be other innovations along the way. After all, we need to address challenges in crossing the web3-to-web2 data pipeline chasm. Is it possible? We think so. Nouns is a place for ambitious ideas, and we are an ambitious team. ## Team This project will be led and executed by Rafa Fernandez (Farcaster: @rafa) and Rafi Gutkowski (Farcaster: @rafi). - Rafa Fernandez is a community architect with a focus on building [Digital Public Utilities](https://www.notion.so/General-Networks-e4615b9b52294f8bab34a82b47023d11?pvs=21). He has decade of experience in corporate analytics and studied materials-science and engineering. He is the founder of Folklore (Folklore.Institute), a community that curates and commissions research on digital cultures. Most recently, he was part of the Summer of Protocols research program looking at [online swarms](https://www.notion.so/Welcome-to-the-Swarm-41c114211ac045f087c44c16bd993748?pvs=21). Previous to the program he worked at Mirror where he worked in creator partnerships and community development. - Rafi Gutkowski is a software engineer and data scientist ([libred.org](https://libred.org/), [LinkedIn](http://linkedin.com/in/rgutkowski)). He started mining bitcoin in 2015 but only after exiting from his recent startup, did he double down on web3. Since then Rafi has been working on sementic analysis of decentralized social graphs, as well as creating web3-web2 bridges, such as Folklore’s web3-signature to feed [broadcast applet](https://www.notion.so/Folklore-5d34757913064064b87119c4593eda74?pvs=21). ## Funding We are a stream of 22.5 ETH to fund this project over approximately 10 weeks. The funds will be allocated to a two-person team (Rafa and Rafi). They are split roughly 25-75 between planning and iterative engineering. There is about a 40-40-10 between data engineering, visuals and handoff. There is approximately 10% reserved for bugs and issue resolution. We expect that once the initial traunch of data engineering and visuals is complete, then we can make a decision on what the community needs more of (if anything), such as expanded data, or expanded analysis ## Our Commitments - We commit to posting updates on [updates.wtf](https://updates.wtf/) with sprint plan and outcomes, in alignment with each of the community Q&A feedback sessions. - We commit to cancelling the stream based on community feedback. - We commit to executing this work as an open-source project, such that other onchain communities and organizations can benefit. ## Other Notes This proposal was built based on the Basic Nouns Proposal Template, built by Rafa and available here: https://hackmd.io/@rafathebuilder/BkPAmHZbp If you’d like to learn more about this proposal, the first Q&A conversation on Aburra is available here: https://youtu.be/_dr2yZulMGthe-noun-pulse
0xe62d071e…a32esent to0xfb4a9654…df57·#18,397,246·0xf3e27cfa…904455
Excited to see Purple move into Season 2. Id also love to see an art competition for Season 3, maybe using jokerace and having a reward as well as fixed fee per membership (eg 10-20 USDC equivalent) go to the winning artist for their work. Lots of opportunities.
0xe62d071e…a32esent to0xf790a5f5…1365·#18,369,990·0x26a9f007…b703c7
# The Noun Pulse # The Noun Pulse *“Is Nouns activity growing?” “Who is helping increase engagement and spreading the meme?” “Which proposals are driving growth?” “What’s our spend rate?” “How many builders are contributing to the Nouns ecosystem?” “Are the amount of proposal candidates increasing?”* ## **TL;DR** We aim to create a single-purpose website where Nouns activity metrics are published. It will integrate activity across social channels and highlight which Nouns, advocates, and proposals have best supported the Noun’s meme propagation. Our creative motto is: *Track Memes, Not People.* As a starting point, this proposal focuses on [1] onchain activity (supported by the Nouns subgraph), [2] a single social media source (Farcaster), and [3] a limited set of metrics — such as proposal submissions, votes, comments, casts, and engagement. Opportunistically, we will incorporate additional sources and expand the set of metrics. ## Background As of the moment, the Nouns’ community and audience members produce a wide variety of data. Over time, more data is likely to migrate onchain (e.g. similar to vote comments today) and data will be produced across even more digital localities. The *United World of Nouns* will have a wide-ranging data footprint. Combining data across these localities can become a powerful tool for proposal development and decision-making. However, as @Krel mentioned in their [Request for Proposers](https://www.notion.so/94dadff999ac493b9902aa002e4b296e?pvs=21): **“Nouns DAO does not have a reliable way to measure ‘growth’ or ‘success’. Its not clear what should be measured, or what growth in the context of Nouns even means.”** This project will create an initial repository of activity growth combining onchain and offchain data. We are long overdue to experiment on this front! ## Scope The metrics tracker will be in the form of a single-purpose web application. To begin, we will include onchain data available in the Nouns Subgraph and a single social media channel: Farcaster. We will publish a selection of core metrics that provide clarity to Noun holders the wider community. In addition, we will include a graph (Activity Momentum) and leaderboard (The Race) showing “drivers” of Noun activity. Most importantly, the underlying data pool will serve a first step towards a data-driven Nouns culture, which community members and potential builders can use to find opportunities for proposal submissions. Success of this project will be measured based on web application usage (unique visitors), proposal references (e.g. This project will increase X metric supporting Noun activity growth), and data pool connections (e.g. external usage of the database). As a stretch goal, we will look to expand the data sources, for example including key derivative NFT projects (LilNouns) and other dominant social spaces (Discord, X, Lens). ## Product Components ### The Noun Pulse Whenever we want to test our internet speed, we can easily go to a speed test website. If we want to see how our activity on X (formerly Twitter), we can go to profile analytics. **Where do we go to check how the Nouns ecosystem is growing?** We go to *The Noun Pulse.* The Pulse is a single purpose website showcasing onchain and offchain activity metrics. This includes public conversations related to the *United World of Nouns.* The main graph, which we are currently calling *“Activity Momentum”* will showcase daily activity growth, a proxy for the Noun meme adoption and mind-share online. ![](https://hackmd.io/_uploads/BJ_mHgn-6.png) Our data analytics approach will combine methodologies from (1) traditional media broadcasting (e.g. combining data like number of views, replies, likes, proposal submissions, unique voters, etc.) and (2) materials science and engineering (read more about how engineers develop [material selection indexes here](https://en.wikipedia.org/wiki/Material_selection)) ![](https://hackmd.io/_uploads/SJldre3Za.png) Data will be synchronized in real-time directly from the Nouns’ Subgraph and Farcaster to an SQL database. The sync mechanism will be architected in a uniform adapter interface for easier future integration with other onchain data and offchain sources, such as Twitter, Discourse, Discord, Telegram, DeSo, and Lens. ### The Great Nouns Race In addition, the website will include an activity leader table. However, we want to be unlike traditional races which are solely based on unique identities. While social media analytics ask questions such as: who are the top casters in the Farcaster Nouns Channel?, we want the leaderboard to show which are ***the top memetic sources of Nouns activity***. Our ambition is to be able to say: The Burn proposal is driving the most engagement, or Noun40 is the most popular Noun. In other words, we want to have a *Meme Race. **Can we create a leaderboard of memes, instead of people?*** ![](https://hackmd.io/_uploads/S1_i8xnbp.png) Through this design, Nouns would be able to identify the memetic drivers of growth. To start, we would look to rank discussions around specific Noun personas (e.g. which Noun is most popular), and look to extend this to include popular proposals and initiatives. ### Meme Activity Database (a.k.a. The MAD) In addition to the main activity index and the leaderboard, the product’s underlying data model will be available for others to query and contribute to. That way, others can embed the index into their own Noun interfaces. Anyone should be able to get clean and reliable **meme-data-as-a-service** to support a diversity of Noun initiatives. Imagine a world where active proposals have conversation hype trackers, or ongoing projects can easily see total impressions across social media channels Web API interface will be available publicly in the form of parametrizable JSON endpoints used by both The Great Nouns Race and The Nouns Pulse. The data will be distributed per specific sources (onchain Nouns, Farcaster, and others) as well as in aggregated form to enable the development of tools such as alerts and bots. ## Product Roadmap 1. Phase 1: Confirm data ETL operational design, create “Meme Activity Database” and publish MVP Pulse Website for testing (2-3 weeks) 2. Phase 2: Iterate on the website and create “The Great Nouns Race” (2-3 weeks) 3. Phase 3: Incorporate community feedback, address bugs and publish database (2-3 weeks) ## An Ambitious Vision This project aims to uncover what “Nouns-Native” analytics could look like, and what data infrastructure is necessary to feed this analytics into the broader Nouns governance and participation process. We’ve already intuited that we want to ***Track*** ***Memes, Not People*** — and we’re certain there will be other innovations along the way. After all, we need to address challenges in crossing the web3-to-web2 data pipeline chasm. Is it possible? We think so. Nouns is a place for ambitious ideas, and we are an ambitious team. ## Team This project will be led and executed by Rafa Fernandez (Farcaster: @rafa) and Rafi Gutkowski (Farcaster: @rafi). - Rafa Fernandez is a community architect with a focus on building [Digital Public Utilities](https://www.notion.so/General-Networks-e4615b9b52294f8bab34a82b47023d11?pvs=21). He has decade of experience in corporate analytics and studied materials-science and engineering. He is the founder of Folklore (Folklore.Institute), a community that curates and commissions research on digital cultures. Most recently, he was part of the Summer of Protocols research program looking at [online swarms](https://www.notion.so/41c114211ac045f087c44c16bd993748?pvs=21). Previous to the program he worked at Mirror where he worked in creator partnerships and community development. - Rafi Gutkowski is a software engineer and data scientist ([libred.org](https://libred.org/), [LinkedIn](http://linkedin.com/in/rgutkowski)). He started mining bitcoin in 2015 but only after exiting from his recent startup, did he double down on web3. Since then Rafi has been working on sementic analysis of decentralized social graphs, as well as creating web3-web2 bridges, such as Folklore’s web3-signature to feed [broadcast applet](https://www.notion.so/Folklore-5d34757913064064b87119c4593eda74?pvs=21). ## Funding We are requesting 25 ETH to fund this project over approximately 10 weeks. ## Our Commitments - We commit to posting updates on [updates.wtf](https://updates.wtf/) with sprint plan and outcomes. - We commit to executing this work as an open-source project, such that other onchain communities and organizations can benefit. ## Other Notes This proposal was built based on the Basic Nouns Proposal Template, built by Rafa and available here: https://hackmd.io/@rafathebuilder/BkPAmHZbpthe-noun-pulse
0xe62d071e…a32esent to0xf74b146c…1dc1·#17,130,152·0xac5ace9c…8a3aa9
Rafa Office HoursRAFAHOURS23Purchase this edition to claim 1 hour advisory or consulting session with @rafathebuilder.\n\nThe call is claimable for up to 6 months after purchase, and can be scheduled up to 2 weeks in advance, pending availability. If not available, funds will be returned excluding gas. To claim, please message Rafa via Telegram or Twitter. Then send NFT to ETH burn address.\n\nLimited edition of 42, available for sale until end of August 2023.ipfs://bafybeig554feiauv6eleyojn5h6pczdjjdt2oemtmhklwbux5hblgynfii
0xe62d071e…a32esent to0xd569d3cc…4431·#13,632,305·0xa32e4dd9…577bd4
And so the builders looked across the vast infinite landscape and said together: "We will craft the unimaginable. We will provide our descendants the will to dream and the means to shape this land. We will pass down a never-ending story of inspiration."