Before we dive into the topic of how reputation mechanisms supercharge decentralized communities, I want to take a moment to reflect on the creation of the web as a backdrop in understanding web3.

The first web, Web 1.0, was created for human consumption. The W3C, the group that helped invent the internet had a vision to extend it beyond that, they wanted to make sure that it was a web of data, a machine readable web. In their vision of the web, it would be an intelligent, connected, data-driven internet. Together, they called this vision, the Semantic Web, or Web 3.0.

It was a grand vision. A vision of universal data, an endless fount of decentralized assets, but it ultimately failed. The failure came because there was not an incentive for the web community to adopt the standards. For more information on the demise of the Semantic Web, read Sinclair Target’s wonderful essay, Whatever Happened to the Semantic Web?

In 2013, with the invention of Ethereum by Vitalik and others, the idea of a web of truly machine readable data came back into popular consciousness. Instead of calling it the Semantic Web, some called it the MetaVerse, others called it loosely Crypto, while still, others called it web3.

Web3 is basically the Semantic Web with the addition of built-in economics, whose production model is based on open-source, i.e., decentralized permissionless networks. In other words, web3 is the decentralized internet. To aid in our understanding, I will use the Ethereum network as a computational object to think with.

Both the Semantic Web and web3 have similar goals of creating a data-first, data-driven internet of humans and machines. Looking at the image above, we can see a similarity in their stack. They both rely on standards. They both recognize the need for doing attestations and verifiable claims. They both rest on cryptography, and most importantly, they both recognize the need to have trust as the crowning layer without which their vision of the web becomes harder to use.

For the most part, it seems web3 is just speed running through the same path as the Semantic Web. But hopefully this time, we will succeed because we have an incentive layer of economics built in. Nevertheless, because as of yet, the trust layer is missing, most people’s understanding of web3 today is mostly based on the ability of bad actors to use it for malicious purposes. We, members of the web3 community need to make it safe and trust-enhancing. And thankfully companies like Fimio as well as others are working on doing just that.

Working in public:

All this matters because one of the main emergent uses of web3 is as an economic engine. And as a result, people are using it to do work. That work may be done in the context of a play-to-earn game, a DAO, a DeFi protocol that generates income and so on. All this work is done while riding on the rails of decentralized permissionless systems of open-source which means a significant amount of the work is done in public.

Working in public is not new and people often marvel at its ability to get things done because open-source brings together groups of strangers, who are loosely affiliated with each other, and somehow they all coordinate and get work done.

The reason why the open-source model works so well is because the people who participate in working together are often, for the most part, intrinsically motivated. And this model has worked so successfully that now over 90% of all enterprise production code makes use of open-source.

Furthermore, apart from the use of web3 as an economic engine, because working in public often means working with strangers, we want to be able to make strong statements about the connections on the decentralized web. For example, in data provenance scenarios, we want to be able to mathematically verify that a particular piece of data in an application came from a particular source.

How do you achieve coordination?

In spite of its incredible success, there are still some major challenges with getting work done in these types of decentralized systems. For example, in successful open-source projects, there is always an asymmetry of the number of maintainers to the number of contributors. For some projects, the ratio may be 1 maintainer to 500 contributors. This asymmetry results in coordination problems with respect to the velocity with which work can be done.

For example, in open-source, the coordination cost of opening an issue in a repo is very low. Anyone, even someone entirely new to the project can open an issue. For example, I can go and open an issue in the GitHub ethereum/go-ethereum repo, with just a few clicks.

Whereas the coordination cost of doing code review and merging a pull-request is very high (that needs someone who is an expert in that code base). Eventually these costs get out of hand and projects suffer. Maintainers burn out, and the projects stop being a source of value.

In web3, these same problems exist, and the stakes are even higher. For example, the coordination cost of joining a discord server is relatively low. You just click on the link and you are off. In contrast, the cost of picking someone to delegate your tokens to is very high. You need to research each delegate and find the one whose history and interest are mostly aligned with yours. Most of the time, it can be almost impossible to gather the information you need. Let alone the coordination cost of matching the right kind of work to the right kind of project contributor in web3. And because it is a group of strangers, loosely affiliated with money involved, the opportunity to defraud is very high.

At the base layer, web3 for the most part achieves trustlessness via consensus mechanisms that prevent fraud. It does all this in a decentralized manner. You can trust the contents of a block on the Ethereum blockchain because of the way its block validation system works. You can learn more about consensus mechanisms here.

As we go further up the stack, for example, at the application layer, that trustlessnes is missing. The absence of a reputation mechanism at the app layer, creates the twin evils of fraud and coordination problems.

Luckily there is a solution to all this, it is called a reputation mechanism!

Reputation mechanism

A reputation mechanism is a means of gaining insight into the trustworthiness of an entity. For example, the Michelin star rating system is a reputation mechanism that gives restaurant patrons insight into the experience of a particular restaurant. Another common reputation system is word-of-mouth. Word-of-mouth is one of the oldest reputation systems, and one of the most impactful in the world. Often, it is the reputation system that most of us use in our daily lives. Whether we are in the market for a new lipstick, or a new car, we often ask those we trust for their recommendations. Entire businesses have been made from providing these recommendations.

Now, imagine if we could take the power of word-of-mouth and make it available to everyone on the web. Imagine if we could take the power of word-of-mouth and make it available to machines. Imagine if we could take the power of word-of-mouth and make it available to smart contracts. Imagine if we could take the power of word-of-mouth and make it available to DAOs. Imagine if we could take the power of word-of-mouth and make it available to the entire web3 ecosystem. We don't have to imagine that future. It is already here. It is called a reputation mechanism. A good reputation mechanism will automatically allow us to do all the above.

The challenge of our time is providing well crafted simple and powerful reputation systems. At Fimio, we are starting with reifying code (smart contracts) as a first class citizen, and adding reputation to it. In future postings on this blog, we will spend time unpacking all the elements that make up a good reputation mechanism so that we can meet this challenge as a community head on.

Because nerds are rarely nerdy for only one thing, along with everything else I really really like Dungeons & Dragons (D&D). D&D is a tabletop role-playing game where players create their own characters and embark on adventures in a world co-crafted with a game master. While the game began as a pen-and-paper affair, much of the content (e.g. lore, settings, monsters, spells, etc.) is now digital with platforms like D&D Beyond or Roll20 servicing this online audience.

How does my personal hobby relate to web3? Data ownership and portability; key tenets of web3.

Data Ownership

As a refresher, data ownership refers to the legal rights and control that individuals have over their personal data. In the context of D&D, this might include the information generated for or during an adventure, such as a character, their mechanics, or the lore of the world they inhabit. While players may have created these things themselves, the data itself is often stored within the context of a larger campaign or game system that is owned by a publisher or game designer. So who owns it?

This is a tricky issue and one common to web2 domains. Do I own the content I post on Twitter or does Twitter own it because it owns the platform? What say should I have concerning the personal information I provide Facebook? What are the correct procedures if someone wants to use the content I make on YouTube?

This has really been a sticking point for web2 and has been an issue that web3 addresses at the forefront. There are a number of interesting ways web3 provides users with truer data ownership, such as the following:

• Self-sovereign identity: In web3, individuals have the ability to create and manage their own digital identities without the need for a centralized authority. This means that users can control their personal information and decide who has access to it.

• Data monetization: In web3, users can earn cryptocurrency by sharing their data with companies and organizations. This creates a new model where users are compensated for their data instead of it being exploited for profit without their knowledge or consent.

• DAOs: Decentralized autonomous organizations (DAOs) are entities that are managed by code and run on a blockchain. DAOs can be used to manage digital assets, vote on proposals, and distribute funds. This allows for more transparent and democratic decision-making, which can help ensure that users have a say in how their data is used and allow for data stewardship to be effectively implemented.

Data Portability

Data portability, on the other hand, refers to the ability to move personal data between different systems or platforms. In some ways data portability is an extension of data ownership. If I truly own my data then I should be able to take it with me if I decide to leave a platform or service. Compared to data ownership, data portability is less of an issue for web2 platforms. Facebook, Google, and Twitter all provide users with some means of downloading a copy of their data and or transferring it to another service. However this is not always easy to do and sometimes limited by specific restrictions put in place by these platforms. For smaller platforms data portability can be effectively non existent.

For D&D, data portability might mean transferring character sheets or campaign notes from one game platform to another. Currently, there are several tools available that allow players to export and import data between different D&D platforms. However, these tools are often limited by the restrictions placed on data usage by publishers and game designers. In order to run a session of D&D I often rely on three different applications, two different websites, and a variety of different official and unofficial content. It’s hodge-podge and it's a mess, but it's worth it because it’s so so fun!

As with the wider web2 environment the lack of easy data portability limits what I can do and compose. Web3 seeks to address this issue in a few different ways:

• Decentralized data storage: In web3, users can store their data on decentralized storage networks like IPFS or Swarm. This allows users to easily move their data between different applications without relying on a centralized service provider.

• Interoperability protocols: There are a number of interoperability protocols in web3 that enable different decentralized applications to communicate and share data with each other. This allows users to move their data between different applications and services seamlessly. For example, the ERC-20 token standard allows different Ethereum-based tokens to be easily exchanged between different wallets and exchanges.

• Decentralized exchanges (DEXs): DEXs are platforms that allow users to trade cryptocurrencies without the need for a central authority. Because DEXs are built on open protocols, users can easily move their cryptocurrency holdings between different exchanges and wallets. This enables users to maintain control over their digital assets and trade them in a decentralized and open ecosystem.

While data ownership and portability are afterthoughts in web2, they’re key pillars in web3. On web3 it’s not to just make and create but to do so in such a way where I feel safe knowing that what I make is truly mine and can be brought with me wherever I go and shared with anyone I might want to share it with. But not only that! From this I believe we can also achieve something more: composability. The ability to compose something new from the building blocks made by others and seamlessly attribute their contributions, whether direct or indirect, so that anyone can easily trace how the thing I built was made.

P.S. If you're curious about web3's historic relationship with fantasy, look up "vitalik wow".

As a data-first ML company, Fimio understands the importance of partnering with a data provider that can support our unique needs. That's why we've chosen to work with Spice AI, a leading provider of data management and infrastructure solutions built specifically for ML workloads in web3. Spice AI's focus on multichain support and their proven ability to meet feature deadlines make them the perfect partner to help us bring our vision to life.

Looking ahead, we have a multichain roadmap that requires a long term data partner that’s aggressive about injecting multiple data chains as fast as we can build and ship. Spice AI is built for developers, so we only need to learn one primitive to work on Ethereum, Solana, Polygon, and all the other chains. This means that as we build, our engineering team only has to work with a single dedicated data provider that manages all of the nodes for us. We’re confident that we can meet our deadlines and deliver a reliable, high-quality product to our users with Spice AI.

With more than $3.9 billion in crypto funds lost across the Web3 ecosystem to hacks and scams in 2022 alone, it’s now more important than ever to leverage a best-in-class fraud detection API with ML capabilities – essential for protecting against increasingly sophisticated fraud in the fast-evolving world of web3 technologies. At Fimio, we’re committed to help businesses stay ahead of the curve, protect against emerging threats, and safeguard their reputation and bottom line.

https://forms.gle/S3zqfDuVc3RCrPdH6

Developing and reviewing smart contracts can be a complex and time consuming process, even for experienced developers. Thousands of lines of code, not all of it readable, with opportunities for malicious actions hiding all over the place–we hated it and knew there had to be a better way. So we built it!

With our API, developers can quickly input Ethereum smart contract addresses and return a trust score allowing them to identify if the contract is trustworthy or not. No more worries about malicious actors, and hidden loopholes.

Here are a few key features:

• Improve composability: Fimio allows users to combine code in web3 in a safe and truly permissionless way. With the malicious smart contract API, developers can feel confident building complex architectures knowing the Fimio API is a checkpoint that will identify whether they should proceed with connecting safely to a smart contract.

• Easy and direct: our API is designed to allow fraud detection to be done in code, programmed straight into applications rather than running separate simulations

• Human readable: get information about smart contract validity without having to work in byte code; work exclusively in human readable language!

• Simple to use: Fimio’s API uses one input and gives you all of the information. Give it an address of a contract, and get a confidence score.

🏃Getting started Head over to our website to learn more! You can also read the guide here for instructions on how to use, and how to request a key.

📝 Feedback We do this for developers, and a huge part of the process is hearing from you about what is needed. Feedback from the community, developer involvement in trying and testing the alpha, and documentation, is crucial to be able to make improvements to the quality of our project and features.

Please use our GitHub repository to connect with us and contribute to feedback!

We are so excited to see our users interacting with the API, and we can’t wait to see the transformative impact this will have on the blockchain industry. Ready to get started? Request access here!

Reinvigorating! That's the word for my EthDenver experience. Maybe it was the thin mountain air. Perhaps it was the cool clime that made every moment outside feel like a new morning. But more likely it was the energy of the event itself. A packed conference hall is a thrilling reminder of how big, diverse, and passionate the web3 community is--and EthDenver is only a slice of it! Elbow-to-elbow with strangers, conversations uncountable with the same. Always trying to remember who's doing what, who knows who, and why you should know them too. It makes sense that the venue was a rodeo. It felt like it. Fast-paced, exhilarating, the slight smell of manure in the air.

Yet what stuck with me were the simple things. The small experiences like: congratulating a speaker on giving a great talk; that minor eureka moment you have when you completely understand what a project hopes to achieve; high-fiving colleagues you've only ever seen through a laptop camera; exploring an unknown city with long-known friends (shoutout to my best friend Victor at Osmosis); getting help from peers on things you might not understand (my loudest shoutout to the marketing council at Protocol Labs!).

Conference-scale events like EthDenver are important. They are the center everyone is drawn into and the center out of which numerous different smaller events emerge. The little coincidences, the chance meetings, the friends-of-a-friend... all the things that lead to brilliant collaborations you couldn't have previously imagined. These would not occur if enough people were not in the same space at the same time. But while it might be the big things that bring us together, I believe it's the small things that keep us going. Reinvigorated and ready to build out the future web3 promises. Yep, that's most definitely the word.

In case you missed it, you can see our Day 1, Day 2, Day 3, and Day 4 recaps here.

Taking a step back, just want to remind everyone of what we are building here at Fimio, a trust layer for the web starting with reifying code as a first class citizen and attaching reputation to that code be it a wallet or a smart contract. Reputation isn't based just off of one activity or one environment. Reputation is based on all the ways an entity interacts with the web. It isn't just based on a wallet activity, or interacting with smart contracts, or DAOs, it is based on a accretive understanding of all their interactions on the web. Our vision aims to do exactly that, but for now we focus on smart contracts.

Existing in the larger ecosystem of web3, and seeing the applications that are emerging in web3, one of the applications that I am most excited about still remains the DAOs. I come from a background of open-source and see DAOs as the next evolution of open-source based on decentralized voting and governance. However, to have reputation attached to identity in regard to voting in DAO, one must have an exhaustive view of all the data. And unfortunately, that data seats in Snapshot, that data seats in Discord, in Telegram, in Twitter and so on; the data seats in private servers in the cloud. This makes it harder to paint a wholistic picture and create a reputation that you can then use as a discount when it comes to voting.

We are excited about projects like Ceramic because they are building the tools to free us all from the data silo. We prioritized going to their talk at the Genesis stage in the Spork Castle. With Ceramic, we can now have composable data in web3. While sign-in with Ethereum enables you to tap into the some versions of state information via the EVM, it doesn't allow you to peak into the data state. With Ceramic, every user automatically generates their own event log, anchored into Ethereum for time stamping. With Ceramic, we get a step closer to an open and permissionless web. If you are building dApps in web3, we ask you to look into this project, so we start moving towards the decentralized future we keep talking about.

ML doesn't work without data. One of the major obstacles with having meaningful applications of ML in web3 is the lack of interoperable data. The web3 data landscape is fragmented and incompatible. Projects like Ceramic, Filecoin Virtual Machine and others are all working towards unlocking the value of data in web3. The power of web3 has gone beyond cryptocurrencies. The web that we are excited about is not necessarily a web of ownership. What we are most excited about is the mathematical verifiability of interactions in that web. And for that to occur, we need interoperable data of all the different kinds of transactions that occur in that web, from financial state, to the data state, all the way down to the states of the hardware that store all that data that makes up the web.

And speaking of storage and data, this brings us to the next talk that got us going at the Spork Castle, ZK Security. ZK has been the GPT Chat of crypto for that last few months; everyone is ZK-ing this and that all over the interwebs. We at Fimio are waiting for ZK to mature, ultimately we want ZK to be powerful enough to wrap it around large scale ML models, so we can have a completely decentralized stack from data, to algorithm, to compute. In on day 2 recap, I spoke about Bacalhau, which already does compute on data. But Bacalhau does nothing about decentralizing the algorithm itself. The holy grail would be to have a truly censorship-resistant ML pipeline. When we have done that, we will have all the benefits of web2 with the transparency and security of web3.

In case you missed it, you can see our Day 1, Day 2, Day 3 recap here.

With that said, the word of the day was community, community, community!!! The uniquely great thing about being part of an online community like Ethereum is that our bonds deepen by spending time with each other in meat space. Fimio frens @ThirdWeb, @AdamleeBG hosted a lovely seat down dinner.

We were able to connect with old frens and make new frens. As time goes on, I have come to realize that when these types of gatherings happen, we often end up talking more than the tech that we are building and last night was no exception. Our conversation ranged from gardening and homesteading, to prioritizing time with loved ones as a startup founder, to practices that enhance nomadic life.

One of the highlights of the night was meeting the folxs behind, Optic; a Web3 content recognition engine that can be used for NFT authentication. Like the Fimio team, Optic uses large-scale ML to build its engine. Whenever we see projects in the space that have similar ambition as Fimio, in the spirit of #WAGMI, we like to amplify them.

To conclude Fimio's day 3 at EthDenver was spent deepening the bonds of community IRL. Till tomorrow frens.

In case you missed it, you can see our Day 1 and Day 2 recap here.

The thing that blew us away was the progress that has been made regarding compute over data, specifically where things stand with the Bacalhau project. Bacalhau is a platform for fast, cost-efficient, and secure computation by running jobs where the data is generated and stored. It basically allows you to do compute over data in a decentralized fashion.

This is a major breakthrough for anyone who runs large-scale machine learning systems like we do. Our long term goal at Fimio is to have a completely decentralized stack for machine learning. That means from where our data is stored, to the compute that runs our algorithms, to verification of the algorithm run, to decentralized inference. All along the pipeline we would like to have cryptographical verifiability. Our strength at Fimio lies in large-scale ML and not in design and building of decentralized infrastructure. So you can imagine how excited we were when we saw a demo of "Text to Image Auto-generating Stable Diffusion NFTS with Bacalhau." That demo let us know that Bacalhau has reached a state where it can handle large-scale ML.

Frens, I now I sound like a broken record, but this is a BIG DEAL!!! Why is this a big deal? That means that there are now certain data tasks that can be done where the entire data pipeline is secure and permissionless while doing compute. A prime example for the use case of such a system is electronic voting. We will unpack that use case in another blog. Till then, happy coding frens.

In case you missed it, you can see our Day 1 recap here.

GM Frens! Team Fimio is here for EthDenver, and we are super pumped to be spending the week with all our web3 crypto frens.

First things first, the #BearMarket has had very little impact on the energy and excitement of the community. One might even go far and say that the #BearMarket has had the unintended effect of filtering for builders who are enthusiastic about the fundamental technology that we are all inventing 🎉.

We at Fimio are delighted about meeting with our Protocol Lab Network (PLN) frens IRL because we energize each other. One of the reasons we choose to partner with Protocol Labs (PL) is our shared belief in “moving humanity forward,” through an open and permissionless internet. A criticism that we crypto/web3 people get from the larger technology ecosystem is that we haven’t being able to deliver on a killer app that will move web3 from the fringes and into the mainstream. I agree with that wholeheartedly because they are correct 😃.

Juan Benet's clarity of thought around the particular problem of actualizing the crypto vision to reality is a reason why Fimio partnered with Protocol Labs Network.

We spent a good chunk of our day at the Filecoin Virtual Machine (FVM) Hacker Base co-working, networking, and learning more about the FVM. I spent sometime speaking with @vik_kalghatgi from the PL Cryptoeconomic Labs to learn more about the why behind creating the FVM. At Fimio, a primary focus for us is scaling permissionless technologies around smart contracts through reputation; so you can imagine that a new smart contract type is something we are deeply interested in.

I asked Vik to explain to me why we need a new VM in L1. Wasn't the Ethereum VM enough? Why another one? He graciously explained to me the need for accessing "state" at a storage level. Just like the EVM allows us to determine that state of every block in the Ethereum blockchain, the FVM similarly allows us to determine that state on the filecoin network. That is HUGE!!!!

The FVM unlocks compute over data.

It enables cryptographically signed verifiability over data. To bring it down to a concrete example, let's take large-scale machine learning, something that we at Fimio work on daily. Today when we ML folks build our ETL (Extra, Load, Transform) pipelines we have to put our trust into the hands of a third party to host our compute. So far, the corporations we rely on to host our compute are incentivized to ensure that our data is safe and secure. And these corporations do their best to give us this guarantee. With the FVM, we have cryptographical verifiability all along the pipeline. ML workloads don't have to trust a third party, the third party can give mathematically signed guarantees of data integrity as well as compute integrity by having the code of the customer pipeline implemented in a smart contract running on the FVM. That is some mind-blowing innovation that will surely move humanity forward.

We look forward to digging deeper into the code of the FVM, and into their smart contract. Once we have a better understanding of the FVM, we will be able to better understand how we can leverage the FVM to build a decentralized stack for machine learning.

I want to take this moment and unpack the role of trust in our ecosystem. To do that we need to talk about the layers that make up the system. The first layer, layer-0, is the human layer. Layer-0 consists of all the builders who build the technology that makes up the system. The next layer is layer-1, which holds the base layers of the blockchain and deals with infrastructure that makes everything in cryptocurrency space work. Examples of technologies in layer-1 are blockchains like Ethereum, Bitcoin, Solana and so on. Then there is layer-2, not to be confused with the infrastructure technology to scale base layer chains like Optimism or Arbitrum. Layer-2 in our context is where the applications that humans interact with live. 

All these layers work together in a decentralized, open, manner. It means that web3 is an open-source community made up of groups of strangers who are loosely connected, working together in public with mixed-motivations. And because money is a major component of how the web3 community interacts, the opportunity to defraud is high. At layer-1, this problem has been solved by building incentives to prevent malicious behavior, for example proof of stake on Ethereum. This is why web3 is considered the trustless web, because at the base layer it is trustless. 

The challenge of trust in web3 is at layer-0 and layer-2. At layer-0, there is no algorithmic way to access the true intent of a person. But at layer-2, the application layer, there is a solution: the creation of a reputation mechanism. Without such a mechanism in place, a decentralized system fosters an environment that is rife with the twin evils of fraud and coordination problems. 

Enter Fimio. At Fimio, creating a coordinated reputation mechanism is where we shine. We focus exclusively on building trust-enhancing tools for the application layer. In our upcoming release, we will be launching an API that will provide a trust score for smart contracts on the Ethereum chain. At release developers will immediately be able to integrate the Fimio API into their products in multiple ways, but we are looking forward to working with builders on additional uses as well. A trust-enhancing API for web3–it’s not just exciting, we believe it’s necessary.

Overall, trust is a crucial factor in the success of the blockchain and cryptocurrency ecosystem. By building and implementing these trust enhancing products, we at Fimio can help to create a more secure and accessible network for all.  

This is Omoju, and today, I am excited to introduce Fimio to you. Fimio has raised $2.19 million seed round led by Neo, with Redpoint Ventures, Protocol Labs, The House Fund, also contributing, and some dream angels like Nat Friedman and more. At Fimio, we focus on creating trust enhancing developer tools for Web3.

Why We’re Building Fimio

There are two things that drive me: lowering the barriers to the production of technical work, and increasing access to capital for all people. With recent breakthroughs in big language models in machine learning, it is clear that we are well on our way towards achieving the former. With regards to increasing access to capital for all people, we are not there yet. However, the protocols that have emerged in Web3, give us an opportunity to build robust systems, and these systems can give permissionless access to capital to all people, no matter their income or geography. But before we build those systems, we need to tackle the challenge of trust. And that is why I am building Fimio - to bring trust to the trustless web.

Web3 needs to be a safer, more trusted place for users to engage. At Fimio, our goal is to be the trust layer for Web3. To do this we are building a company tackling the twin evils of fraud and coordination problems.

I’ve pulled together a strong team with backgrounds in software security and AI. Together, we deeply understand how trust and reputation are a critical and necessary part of creating a sustainable ecosystem in Web3. We also know that we can weave our ecosystem in a way that benefits all participants. #WAGMI

At Fimio, our mission is to bring trust to the trustless web.

About Us

I started my academic career just as the web was taking off. In fact, the reason I became a Computer Scientist was because of my interest in the web. Since then I have spent time at planetary scale companies like Google and GitHub--the most important platform for permissionless, decentralized, technical work, on the planet. And in my time as Technical Advisor to the CEO at GitHub, it became clear to me that crypto-economic systems and what we generally call Web3 will play a very significant role in accelerating human progress. I chose to be at the fore front of that change.

What’s coming next:

We are launching an alpha of our first product, an ML-trained fraud detection API. Powered with the Fimio API, Web3 builders will go beyond blacklists. We can’t wait for you to see it.

If you are interested in trying our product, or want to connect to learn more, drop us a line at hello@fimio.xyz.

Somewhere in Web3, Omoju.eth