fix: change docs urls to relative

apps/docs/blog/2023-12-15-pln-ecosystem-analysis/index.mdx

@@ -5,7 +5,7 @@ authors: [ccerv1]
 tags: [data science, protocol labs, filecoin, ecosystem reports]
 ---
 
-[Open Source Observer](https://www.opensource.observer/) is a platform for measuring the impact of open source software (OSS) contributions. We launched a few months ago with a commitment to [open source everything](https://docs.opensource.observer/blog/open-source-open-data-open-infra). We attended the PL Summit in Istanbul last month and had a chance to present our work to the community. 
+[Open Source Observer](https://www.opensource.observer/) is a platform for measuring the impact of open source software (OSS) contributions. We launched a few months ago with a commitment to [open source everything](../2023-11-07-open-source-open-data-open-infra.mdx). We attended the PL Summit in Istanbul last month and had a chance to present our work to the community. 
 
 We are excited to announce that we are now initiating coverage of the PLN open source economy!
 

apps/docs/blog/2024-01-19-what-builders-can-learn-from-retropgf3/index.mdx

@@ -27,7 +27,7 @@ I also want to make sure I don’t bury the lead:
 - Every badgeholder and citizen who wants the best for Optimism probably feels that this allocation level is too low.
 - This is not a sustainable trend, given that sequencer fees are the long-term revenue engine for this whole experiment.
 
-Many factors likely contributed to this outcome. In a [previous blog post](https://docs.opensource.observer/blog/levels-of-the-game), we discussed how the round’s game dynamics could make it difficult for voters to express their true preferences.
+Many factors likely contributed to this outcome. In a [previous blog post](../2023-12-14-levels-of-the-game.mdx), we discussed how the round’s game dynamics could make it difficult for voters to express their true preferences.
 
 <!-- truncate -->
 
@@ -252,7 +252,7 @@ I would expect this balance to shift over time. Some experimentation is needed,
 
 ### Strong signals
 
-The strongest predictors of RetroPGF distributions for OSS projects were … drum roll please … NPM downloads. You can read our critique of downloads as a metric and a proposal for three better metrics for developer libraries [here](https://docs.opensource.observer/blog/fund-your-dependencies).
+The strongest predictors of RetroPGF distributions for OSS projects were … drum roll please … NPM downloads. You can read our critique of downloads as a metric and a proposal for three better metrics for developer libraries [here](../2024-01-03-fund-your-dependencies/index.mdx).
 
 Stars and forks were also pretty strong signals. The chart below shows the average OP reward for excellent and exceptional projects for any given impact vector.
 

apps/docs/blog/2024-02-28-arbitrum-impact-pools/index.mdx

@@ -6,7 +6,7 @@ tags: [arbitrum, data science, ecosystem reports, impact pools]
 image: ./user_growth_pool.png
 ---
 
-In our last post, we provided a snapshot on the [open source software projects building on Arbitrum](https://docs.opensource.observer/blog/arb-ecosystem-analysis). In this post, we will apply a series of experimental impact metrics to identify positive growth and network contribution trends across a cohort of more than 300 major projects on Arbitrum.
+In our last post, we provided a snapshot on the [open source software projects building on Arbitrum](../2024-01-31-arb-ecosystem-analysis/index.mdx). In this post, we will apply a series of experimental impact metrics to identify positive growth and network contribution trends across a cohort of more than 300 major projects on Arbitrum.
 
 We believe impact metrics such as these are instrumental in helping the Arbitrum DAO better design incentives and allocate capital across its ecosystem. The metrics we've included are all derived from both onchain and off-chain project data. They include well-established crypto indicators like active users, sequencer fees, and transaction counts as well as common OSS metrics like full-time active developers, issues closed, and new contributors. 
 
@@ -19,7 +19,7 @@ The real value, however, lies in combining simple metrics in novel ways to filte
 
 <!-- truncate -->
 
-As described in [our previous post](https://docs.opensource.observer/blog/arb-ecosystem-analysis#methodology-for-project-identification), these projects were sourced primarily from the most recent [“Electric Capital Crypto Ecosystems Mapping”](https://github.com/electric-capital/crypto-ecosystems), from Dune Analytics, and from Plurality Labs partners including [Karma GAP](https://gap.karmahq.xyz/arbitrum/) and [OpenBlock Labs](https://www.openblocklabs.com/app/arbitrum/grantees). We invite your contributions to enhance this directory; please visit [here](https://github.com/opensource-observer/oss-directory) to submit a PR or [here](../../docs/projects/) to learn more about how to contribute data about projects and their code artifacts.
+As described in [our previous post](../2024-01-31-arb-ecosystem-analysis/index.mdx#methodology-for-project-identification), these projects were sourced primarily from the most recent [“Electric Capital Crypto Ecosystems Mapping”](https://github.com/electric-capital/crypto-ecosystems), from Dune Analytics, and from Plurality Labs partners including [Karma GAP](https://gap.karmahq.xyz/arbitrum/) and [OpenBlock Labs](https://www.openblocklabs.com/app/arbitrum/grantees). We invite your contributions to enhance this directory; please visit [here](https://github.com/opensource-observer/oss-directory) to submit a PR or [here](../../docs/projects/) to learn more about how to contribute data about projects and their code artifacts.
 
 ## A word of caution
 

apps/docs/blog/2024-04-24-octant-epoch-03-ecosystem-analysis.md

@@ -11,7 +11,7 @@ import TabItem from '@theme/TabItem';
 
 Octant recently kicked off **Epoch 3**, its latest reward allocation round, featuring [30 projects](https://octant.app/projects). This round comes three months after Epoch 2, which had a total of 24 projects in it. There are 20 projects continuing on from Epoch 2 into Epoch 3 - including [Open Source Observer](https://octant.app/project/3/0x87fEEd6162CB7dFe6B62F64366742349bF4D1B05).
 
-During Epoch 2, we published a [blog post](https://docs.opensource.observer/blog/octant-epoch-02-ecosystem-analysis) with some high-level indicators about the 20+ open source software (OSS) projects participating in the round. In this post, we'll provide some insights about the new OSS projects and refresh our analysis for the returning projects.
+During Epoch 2, we published a [blog post](./2024-01-26-octant-epoch-02-ecosystem-analysis.mdx) with some high-level indicators about the 20+ open source software (OSS) projects participating in the round. In this post, we'll provide some insights about the new OSS projects and refresh our analysis for the returning projects.
 
 Overall, in Epoch 3, Octant is helping support:
 

apps/docs/blog/2024-08-30-impact-data-scientists.mdx

@@ -25,7 +25,7 @@ To make productive use of these assets, they award grants to open source develop
 
 However, most foundations struggle to do grantmaking well. They have a hard time articulating what kind of impact they want to see more of and how that impact will be measured across their network. This is more than _just_ a communications problem. It prevents foundations from effectively channeling their resources into the initiatives that are driving positive growth and adoption. Without good measurement of impact, there is a risk of wasted funds, underutilization of potential, and a lack of direction for builders. 
 
-For a case study, see our [recent post on Optimism RetroPGF 3](https://docs.opensource.observer/blog/what-builders-can-learn-from-retropgf3).
+For a case study, see our [recent post on Optimism RetroPGF 3](./2024-01-19-what-builders-can-learn-from-retropgf3/index.mdx).
 
 Much of the effort to date has gone into weeding out all the bad ways of spending money: the cash grabs, shell projects, sybil attacks, airdrop farming attempts, etc. There has also emerged a number of battle-tested projects that crypto foundations view as safe bets. This type of filtering work on both sides of the distribution curve is very important. Yet the strategy for every foundation can’t simply be to avoid the really bad projects and only fund the really good projects that everyone knows about already. 
 
@@ -48,7 +48,7 @@ Since there aren’t any examples of people who already have this job, let’s s
 💸 You are not a naive idealist. You know that funding matters. You know that to create more impact you need to reward at least some of it, financially. You want to create loops where value flows upstream in response to impact captured downstream. You believe in markets but you also see market failures all around you. You see markets as a game but decidedly not a zero-sum game. As an Impact Data Scientist, you would pursue the Platonic ideal of increasing the amount of positive impact per unit of money spent.
 
 
-🏐 You are excited about designing better games. You are curious about how behavioral psychology, mechanism design, cognitive biases, and measurement instruments affect outcomes. Specifically, you want to apply these concepts to _the allocation game_. The allocation game is a game of allocating pools of money across different sets of projects based on impact. Even though you’ve never explicitly sat down to play the allocation game, you realize that you’ve been playing allocation games (designed by other people) your whole life. You play them when you vote, when you create a playlist on Spotify, when you leave money in the tip jar. You recognize that the result of these allocation games is as much a function of the [rules of the game](https://docs.opensource.observer/blog/levels-of-the-game) as it is the people invited to play. As an Impact Data Scientist, you would be hands-on crafting and refining some of these rules. You would want to use your unique blend of skills to enhance the fairness, effectiveness, and fun of these economic and social games.
+🏐 You are excited about designing better games. You are curious about how behavioral psychology, mechanism design, cognitive biases, and measurement instruments affect outcomes. Specifically, you want to apply these concepts to _the allocation game_. The allocation game is a game of allocating pools of money across different sets of projects based on impact. Even though you’ve never explicitly sat down to play the allocation game, you realize that you’ve been playing allocation games (designed by other people) your whole life. You play them when you vote, when you create a playlist on Spotify, when you leave money in the tip jar. You recognize that the result of these allocation games is as much a function of the [rules of the game](./2023-12-14-levels-of-the-game.mdx) as it is the people invited to play. As an Impact Data Scientist, you would be hands-on crafting and refining some of these rules. You would want to use your unique blend of skills to enhance the fairness, effectiveness, and fun of these economic and social games.
 
 
 ✨ You know that data magic has an essential role to play in all this. Not just the numbers, but the stories and the visualizations that can be brought to life from a deep understanding of those numbers. In a digital world, data is the aggregated voice of its residents. You like quant stuff, and breathe a sigh of relief knowing that as an Impact Data Scientist you’ll have access to lots of clean data. Hold that thought. You have most likely been trained in an environment where data is served to you in long rectangles, where the rows/columns are fixed and the available feature set has been pre-specified. Are you ready to step out of the proverbial cave? If so, then there is a world around you that is feature-rich and pliable, full of things you can use to build your own rectangles (and other shapes). All you need is a single public key address to construct a social graph and an economic history. As an Impact Data Scientist, you would need to become a cartographer of this new data landscape.