Our brains are engines of reality-creation. Our realities are shaped by the translation of millions of bits of information through our senses and the unconscious, subconscious, and conscious parts of our minds.
The information age is an age of databases that we spend parts of our lives in through expression and interaction. Many of the databases we populate are worlds of their own. They consist of identities and the products of imagination. Decades ago, internet forums were already worlds you could step into, but when modern social media came around, these databases were expanded vastly, making the virtual worlds of before look more like a lobby than a vast realm of landscapes and experiences youâll never be able to explore in just one lifetime (just consider the 500+ hours of content added to YouTube alone, every minute).
Distinctive of these virtual realms is that they can serve as a layer for the IRL world we cannot plug out of. Google Maps provides a world you can explore, but also an information layer that perfectly overlays with our IRL experience. The same goes for anything that creates context for the IRL: social profiles, geotagged material, articles about places & phenomena, databases of products & their prices, etc. If I were to try to keep up with the rapid addition of new layers and create an exhaustive list, this article would probably never be published. Especially not with AI entering our world of worlds.
Databases are imagination layers. Theyâre records of decisions or interpretations. And the most important ones are owned by corporations, rather than by the people whose imaginations populate these worlds.
Anyone who has dabbled in crypto for a while will know that different blockchains provide different worlds â more commonly referred to as âecosystemsâ. There are different people and entities creating the data, the decentralized apps (dApps) that interact with this data are different, and the products of imagination you find on these chains will differ. Blockchains, too, have layers. A base layer may be Ethereum, and then the âlayer 2â will create more specific worlds and ecosystems that all interact with that primary world, all centered around the same energy that provides life to all. Itâs like traveling through a star system.
Galaxies from before have become dominated by corporate monopolists, often run by âStrong Manâ leaders. They are not elected, but appointed by boards of people that have acquired a financial stake in this corporate galaxy. Many of these people will have made 0 contribution to the actual worlds within that galaxy, yet they extract, profit, and get to make decisions about all these worlds.
The reason so many people believe in blockchain as a technology, is because of the democratization potential it has for the database-layer of our existence. But since so much of our existence is tied to databases, one can drop the middle part: the democratization potential it has for the database-layer of our existence.
In most of those blockchain-based worlds, cryptocurrency exists as a way to measure peopleâs stake in those worlds. Is it flawless? No. Does it create the most democratic outcomes? Certainly not always. But the model does introduce the ability for anyone with a stake to participate democratically. It creates incentives for open data models that distribute power, rather than data monopolies which concentrate power.
Itâs not about money, itâs not about NFTs as a subculture, itâs not about speculating on tokens. Itâs about creating a better internet.
The internet is such a big part of our existence; itâs ridiculous to leave it solely in the hands of megacorporations. It belongs in the hands of everyone contributing to it. The world is ours.
This week Iâll be speaking about ethics & web3 at an event hosted by JUMP, an accelerator for the European music market. While Iâll make sure to dive into topics like energy use, economic inclusion and the tyranny of structurelessness, the invitation also got me thinking about how the web3 provides more ethical frameworks for our networked future.
Networked reality
First, back to fundamentals. We live in a networked reality. This is different from the channel reality of mass media before the internet. Messages and information traveled through channels, linearly or bi-directionally, through media but also distribution channels in the case of physical information carriers (e.g. CDs). It wasnât piracy that was the real shock to the music industry: it was the transition from channel reality to network reality.
Networked reality implies data can travel freely through networks. Memes are an important part of the culture that has emerged from these networks. The remix is the internetâs language.
This networked reality initially played out in a rather decentralized way across loosely connected communities running their own software (e.g. vBulletin or phpBB forums). Network also means network effects and social platforms soon started leveraging their user activity to attract more users â slowly walling off data that had been accessible without an account through APIs or public pages. This created an extractive economy in which the value created by people funnels upwards to the platform owners. Eventually, the platform economy established a near-monopoly over the internetâs social layer.
This established certain platforms as de facto public infrastructure. Think about it this way: when you step outside your front door in real life, chances are you step out onto public infrastructure, free to use, paid for by taxes, and governed by democratically elected bodies. When you step outside your front door virtually, you move immediately into private infrastructure, paid for by ads and your data, and governed by non-democratic hierarchies. For many people, itâs unthinkable to cut ties with friends and family and abandon WhatsApp, Facebook, Instagram, Telegram, Line, WeChat, Twitter, etc. It would feel to them like the virtual equivalent of moving away into the forest and becoming a hermit.
Networked reality has become a platform reality. Economically almost more akin to the channel reality of mass media than the distributed nature of the early web. One could espouse the merits of all the free-to-use tools, but the reality is that their dynamics are extractive. As the adage goes: if youâre not paying for the product, you are the product. Entire books could be written (and indeed have) about how we got here. I want to focus this piece on how web3 offers a more ethical way forward.
Your book and article recommendations on this topic are welcome in the comments.
Web3: returning ethics to networked reality
Web3 means a return to the network. Data is stored on blockchains, which are operated by the network of its users. This means that the ownership of the blockchain is distributed across its users. Scale that out far enough and the concept of measuring an individualâs level of ownership becomes abstract to the point that one could argue that the data on the blockchain is ownerless. This level of decentralization allows for the emergence of individual agency over the data they have custody over.
What makes the NFTs and tokens in your cryptowallet âyoursâ? Do you own them? Well⌠not really, the ownership is distributed across the blockchain. But you have custody over this data – you are uniquely in control, since you hold the keys to what happens to this data. This is why people warn about blockchains that are not sufficiently decentralized: you may have custody over your data, but a conglomerate of network operators could band together to seize ownership of it.
The reality of having a level of custody over your data to a degree that practically feels like ownership and that data being public and transparent creates a new reality to build in. New platforms can come along and tap into all the data that already exists. They donât have to ask anyone for permission. Many blockchains, like Ethereum, are designed to be âpermissionlessâ. As people build up their âon-chainâ profiles, theyâll place more importance on services that allow for interoperability for everything theyâve already collected. One example is the NFTs people spend money on: they value this data and platforms like Twitter & Instagram are mimicking web3 services by allowing folks to bring & display their NFTs inside the services.
This seems novel, but itâs been a de facto default for web3 services that are already years in the making. Snapshot, a governance tool for web3 organizations, allows anyone to connect their wallet, show that they have custody over certain tokens, and then allows them to participate in the respective communitiesâ votes. When the owner of popular NFT marketplace Hic Et Nunc took the platform down, the community scrambled to rebuild in record time. No important data was lost, because it was distributed on the network.
This creates a security mechanism: since the data is public and users hold the custody over it (as opposed to private & platform-owned), platforms that run afoul of their usersâ best interests may see the community âforkâ. That means they take their data & bring it elsewhere. The lack of interoperability has created a lock-in effect on users that is often leveraged to protect revenue and growth numbers. For example, if you leave a music streaming service, you lose access to all your playlists. If you leave a messaging app, you lose access to all your group chats & chat history. This is not the case with open standards like email, which you can access from multiple apps and services and even completely migrate to new service providers.
Web3 doesnât lock-in like this (and if a âweb3â platform or blockchain does have this effect then itâs not âweb3â and you should think twice before spending your time or money there). Instead web3 services try to create long-term alignment with the users they cater to, since people can leave any time. This alignment takes the form of opening up participation in governance, as well as giving the users custody of the tools they use through tokens which can be used for governance, but often also come to represent the perceived value of a service (akin to shares, but without dividends).
Are the days of extractive platform economics behind us? Definitely not and Iâd wager it will be a part of the internetâs economy for as long as we see the same extractive dynamics in other parts of our economies. But we do have the toolset to build things in fairer ways, almost like publicly governed and funded infrastructure – governed by the networks of people that make use of it.
I normally donât do predictions, because they tend to ignore the human factor and the influence that single, talented individuals can have when they appear in exactly the right moment.
However, having spent most of my career in streaming, building niche models that can live side-by-side with streamingâs status quo, I have various deep-rooted beliefs that allow me to project with more confidence.
The following predictions are based on a 5 to 10 year time horizon.
Streamingâs payment model will not significantly change
The gripes many artists have with streaming and the fact that they get fractions of a penny per stream will remain unanswered. Changing to user-centric payments or higher subscription fees will not change this in a significant way. One option could be metered streaming, but in an internet of abundance, thatâs too complex an offering for most consumers. People donât want to make a decision whether to listen to some music in the shower, where maybe they canât hear it that well, or save those minutes for later. The friction of such a model is frustrating and cannot compete with streaming services who have the all-you-can-eat model. Nobody will want to make the first move.
Furthermore, the winners of streaming are the large record labels in the world. Are they going to undermine this business model or place bets on things that may undermine it? Probably not.
One could simply say: âstreaming services should pay more – let them figure it out.â I think this leads us back to a similar scenario, but one where Spotify, Deezer and Tidal can no longer compete with tech giants like Google, Apple, Amazon, Tencent and ByteDance. The latter can afford to keep prices low for end consumers, creating an irresistible offering subsidized by other parts of their business. Still, while everyone would welcome more money, even getting $400 per year instead of $200 will not satisfy most artists.
Streaming should be seen as a base layer for the recorded music economy. Itâs something to be built on top of and its data to be leveraged. For artists, they can utilize this layer to create a larger variety of revenue streams for their recorded music as well as other verticals.
Adaptive music will become normal
Our music players are no longer simple devices that read from a disc and play back the music⌠Theyâre fully fledged computers that are more powerful than the computers we had on our desks not long ago. Itâs surprising that music is largely still following the conventions of the age of the recording. Itâs static and itâs the same every time you hear it.
10 years ago, when I first started speaking about this topic at conferences, I expected that it would be artists leading the way in popularizing the medium. Looking back, I think advancements in media need a business case before the pioneering artists can set a new standard. Artists experimenting with recording music didnât popularize the record: the business around records did and they needed pioneering artists to help.
The goal for streaming services is to capture as much attention as possible. This is either to sell ads or in order for people to justify their music streaming subscription fee. This has led to a âmusic for every momentâ race and a utilitarian approach to music: music for doing the dishes, Monday evening detox playlist, workout playlists, sleep playlists, and the lo-fi hiphop trend going so hard that any background music that you can use for studying now sometimes gets referred to as âlo-fiâ.
To further their business models, streaming platforms need to figure out how to fit into even more moments and I think making music more dynamic will play a role. Music that adapts when youâre running, when youâre in a loud environment, when youâre studying, when youâre driving. The challenge is that some of these improvements are marginal and may not significantly move the needle on metrics, whereas the investment in terms of development is large. I do think whoever figures it out will have something akin to the next Discover Weekly on their hands; something that wows consumers & gets everyone scrambling to copy it.
Metaverse integration
This is an easy one to predict, but itâs worth pointing out the strategic fit. A large amount of work at streaming services goes into integrations with hardware. Think different types of devices and their operating systems, think cars, speakers, voice-controlled devices, consoles, etc. When people pay for a streaming service, they want it to be highly compatible with how they play music. If someone has invested a lot of money into their sound system and your service doesnât play nice with it, theyâre very likely to switch to a competitor that does.
So now consider the virtual worlds in which a greater number of us are spending our time in. What role does music play there? How do we take our favourite music with us? Currently a lot of these things are integrated at the system level, for example in the operating system of a console or PC, or at the level of a game launcher like Steam. As virtual worlds and our behaviours therein grow in complexity, people will expect higher degrees of granularity in how they can control their music in these worlds. Should they hear their music constantly at full volume or should the music coming from that virtual stereo sound different depending on your position relative to that object? Thereâs value in immersion.
NFTs will not change the way streaming services license music
I just donât see the scenario. Licensors like to negotiate and get the best out of their deals. The human relations in these scenarios are very important. Itâs not in their interest to let everyone get default terms in an automated way, since it doesnât let them leverage their influence. Keep in mind: these negotiations are not just about money, but also about visibility in playlists, frontpages, promotional partnerships, etc.
Given that so much must be done by people, I donât think itâs worth the switching cost for most parties involved.
Where I do see a role for tokens is where artists, labels and other rightsholders interface with distributors. It makes sense for money and data to be streamed to a smart contract and automatically distributed based on whoever holds the tokens associated with that smart contract (note: there are other mechanisms to make this work too). The advantage of this is higher transparency and faster payments, as well as making it easier for DAOs to interface with streaming (e.g. as artist communities or community-run labels).
Competition will accelerate in the niche
While itâs unrealistic for anyone other than a tech giant to take on music streamingâs status quo, there are opportunities in underserved niches. These niches can be local or specific to certain use cases or genres (e.g. classical music & IDAGIO where I led the product org before). For these services to succeed, they have to be hyperspecific. They need to pick one thing and excel at it in a way that is hard to copy. This can be curatorial (e.g. very specific local curation, like MENA-focused Anghami) or based around a genre (e.g. classical music aficionados have a very specific way of navigating all the recordings of their favourite music or by their favourite performers and composers in their genre). Building a great music streaming is hard â the streaming giantsâ weak spot is that they have to serve many different types of people with a wide range of different needs and behaviours⌠Apps that optimize for a specific niche, need or behaviour can stand out enough for people to justify the cost of another subscription and more importantly the mental cost of using 1 more app for music.
Social listening apps like the BPM Discord bot, that plays music NFTs from Zora and Catalog, come to mind. The niche is where Web3 can play a role⌠until it is no longer niche.
Iâve spent over a decade writing about music. Much of that decade Iâve also spent in senior product roles at music streaming services. When not working in full-time roles, Iâve helped founders with strategy for their company, product or community. Below are some of the most important things Iâve learned – often the hard way as a young dreamer.
Forget about âdisruptingâ
Yes, your startup is going to reinvent the entire industry. Fix all the broken things. Cut out all the people who profit while contributing very little. Cool. But in the beginning, you need traction. To scale, you will typically need world class music involved. Telling everyone you want to disrupt them is not going to make you any friends. There are many people in the industry (that youâd like to disrupt) who think exactly the same way you do. Hone a message of partnership and of co-investing time, energy and money into solving a specific problem.
Common trap: Proudly proclaiming âIâm going to cut out the middlemenâ to the decision-makers who have been hired by artists so that they can stay focused on their art.
Understand the industry
People have oversimplified ideas about how the industry actually works, as well as hopelessly outdated perspectives that date back to the early days of p2p filesharing when CD sales reigned and iTunes was just launching. This oversimplified perspective can cause you to waste a lot of time (and resources). For example, people hear âSpotify pays too littleâ and think âletâs build a streaming service that pays more, easy-peasyâ and then start building a product before understanding who takes a cut from streaming royalties, why royalties are as low as they are, what it means to compete in this space with tech giants, how little the industry cares about platforms without an audience, how much time it takes to license music, what type of technical measures you have to comply with when handling licensed music, etc. And that is just one specific example.
Common trap: Not spending some hours to read the most recent edition of All You Need to Know About the Music Business by Donald S. Passman before overcommitting resources.
Know whose problem youâre solving
Many startups try to solve industry problems, without understanding exactly who their customer will be. Many startups, initially pitching to fans and artists, end up pivoting into B2B-models down the line. Those are the ones that actually survive. Spend time up front to interview people. Build very basic prototypes to see if people actually use your service the way you imagine. Donât rationalize towards the answer you want to see: if people donât exhibit repeat-behaviour, meaning they come back to your service over and over, then you are not solving the right problem for the right person.
Common trap: Thinking youâre solving the artistâs problem, rather than that of their management, marketing team, record label, tour promoter, etc.
Speak to your customers
A lot of startup founders spend entire conferences talking to other startups. Unless youâre building something specifically for startup founders, then Iâd say itâs a big waste of time. Yes, build a network of startup founders, so you can learn from each other about building a business, but donât mistake that time as contributing to your productâs success. The #1 most important thing you can do with your time, besides hiring the right people, is spending it with (intended) customers. Learn about them, get their feedback, get them involved.
Common trap: Believing in the âbuild it and they will comeâ trope and spending weeks or months building a service while spending not even 1/10th of that time actually speaking to the people that will use it.
Speak to your partners
Most music startups have a dynamic where two groupsâ problems need to be addressed. Your source of revenue may be with one group of end-users, e.g. concert-goers, but you need to spend time to understand the need of all those around them: venues, teams of touring artists, etc. The key to success with your partners will be how well you solve your customerâs problem. Consider what relationships augment that solution most effectively.
Common trap: Trying to solve a problem without understanding how partners might help you (e.g. it may be faster to license great music than to wait for independent musicians to show up & upload a sizeable catalogue).
Be honest about competition and donât underestimate âswitching costâ
Itâs not enough to do something incrementally better. People have established routines. Theyâre happy with apps that get the job done and itâs typically not worth establishing a new habit for minor improvements.
Letâs say your app is the best way to discover new artists. The app has a novel interface the world has never seen before. There is simply nothing like it. Yet, there is. People have developed complex behaviours for discovering new music, this may involve concert line-ups, various social media platforms and accounts, streaming service algorithms, curated playlists, YouTube channels, etc. You are competing with all of these services for this music discovery behaviour. Understand the whole behaviour and the key differences in behaviours that may exist. Understand the trigger âIâm at work and I quickly want to find something new to listen to thatâs not too demanding of my attentionâ and the end state âthe music is playing from my WiFi-speakers and I can save new songs I like to my favourite playlist with one tapâ. Can your solution achieve such an outcome? If not, is it so great that itâs worth the switching cost?
Common trap: Thinking you have no competition due to a lack of direct competitors (sidenote: they may all have struggled to gain traction and died). You are competing for behaviours. What behaviour are you targeting? Has anyone already monopolized this behaviour? How do you get in there?
Concluding
The music business is a highly appealing space for startup founders. Everyone loves music. Investors like to take a risk occasionally and add a fun project to their portfolio. Unfortunately, a lot of startups Iâve seen in over a decade of writing about music tech no longer exist. While I actually value naivety, since it can lead founders to pull things off that nobody thought was possible, I hope sharing some of these common pitfalls will help more of you succeed and create more amazing tools, experiences and a blossoming artist-centric music business as a result.
One of our common flaws in thinking is we assume a certain linearity and continuity, which means the convergence of exponential trends and the resulting outcomes can often take us and our businesses by surprise. Trends in the 2010s had such a powerful impact on contemporary culture that itâs hard to consider anything other than linearity, but the trends that created these changes also carry the seeds to their own disruption.
Some of the most important converging trends for music & culture in the 2010s were:
The smartphone & mobile data, which helped streaming take over.
Online payments & mobile payments becoming normal. These were not mainstream things before the last decade, especially outside North America.
Modern social networks like Facebook & Twitter.
Mobile-first social apps like Instagram, WhatsApp, Musically /TikTok, WeChat, etc.
Recommendation algorithms to prioritize content & maximize peopleâs attention, engagement and time spent on a site, platform, or app.
These trends have had more impact on the music landscape than the actions of any single music company, assuming theyâre deterministic. Theyâve impacted our social life, our commercial worlds, the way we navigate media like music & film. These trends have made the world that exists of digital media move from a secondary reality to something that near-seamlessly integrates with physical reality. A convergence of IRL and URL.
The social web became one of hyperpersonalization, endless feeds of information shared by friends, marketeers and agents of misinformation, anything you want at your fingertips. Time magazine, already back in 2006, proclaimed the person of the year to be You, to celebrate the contributions millions of people were making through user-generated content on young websites like YouTube, MySpace and Wikipedia.
Information overload
âYou control the Information Ageâ, Time magazine proclaimed on its cover, but how many people feel that way now? Endless feeds of information have caused a sense of being overwhelmed. The effects of social media on mental health are well-documented.
One way to mitigate information overload is to dive deep into a specific community and create meaning – moving away from the superficial information dosing committed while scrolling through endless feeds.
Loneliness
The ironic thing about social media is that nearly all platforms are set up to create a very lonely experienced. They have based themselves on the singular You principle celebrated by Time in 2006. Your feed with your likes, your friends, your music, you you you you. To some degree thatâs great, but it also creates a world where we have less shared experience between the people we know. Close friends youâll have known your whole life likely have a very different feeds from you, even if you share a lot of aspects in life. We know that what people see when they open the same apps is different. Thatâs unique. The internet didnât really function that way pre-modern web 2.0. Social spaces in the real world certainly donât function that way.
This individualisation creates a sense of loneliness and isolation that the pandemic confronted us with. The pandemic was the trigger needed to set off this countertrend for shared, communal experiences: Clubhouse, livestreams, Discord, apps to watch YouTube & Netflix together, Twitter Spaces and much more.
Wariness of platforms
For various, sometimes conflicting, reasons people have become wary of the large platforms. Do they have our best interests at heart? Or do they ruthlessly prioritize profit for shareholders? Are we free to express ourselves in these places (as long as we cover up our nipples)? There is a shared, distinct feeling of having no control over our most important mediums to connect with each other. None of the most important social platforms for music are trusted – as a matter of fact, one survey found all of them are distrusted.
Hardship
The world faces a lot of challenges – its primary challenge being climate change. As we brace ourselves for decades of significant hardships, weâll have to find meaning and support from communities.
We have done little to mitigate climate change, which will not just affect temperatures & weather, but trigger conflict around the world. Consider this, from a piece titled â2011 Food Price Spikes Helped Trigger Arab Spring, Researchers Sayâ:
âExtreme drought triggered wildfires and destroyed one-third of the countryâs wheat harvest. Russia refused to export the rest of its harvest. Markets panicked and food prices shot up.â
Infrastructure & access to water are now primary targets in wars: early in the Ukraine war, Russia destroyed a dam in order to get fresh water to Crimea, which Putin had occupied since 2014.
That is only the most recent example. There have been countless other examples. For example, some researchers believe the conflict in Syria was catalysed by climate change.
In the face of hardship, communities have to learn to organise themselves to demand political change and action and to create resilience in the face of adversity.
Privacy
People donât trust the platforms with their data. This has led governments like the EU to create vast data protection frameworks which include the right to âdata portabilityâ which means people should be able to claim their data & transfer it to another operator. The trend is pointing towards users owning their own data which sets platforms up to have to cater to users for permission to look at their data, no longer being able to play the extractive data mining role they have been. Weâre still far removed from that though. Zero-knowledge proof cryptography is the tech trend to keep an eye on here, because it can enable a lot of these user-autonomous ideals that have lied at the core of cyberculture since the early days.
Lastly, I think the type of economics introduced by the creator economy and web3-dynamics can make a big impact. Itâs now so easy to give a community real stake in its collective output, which means that people who have never been able to participate in open source dynamics can now do so.
Open source has meant creating software together with communities and making the software free to use by all. If there are disagreements, communities fork and create alternate versions of the software. Iâm not well-read enough about the subject to understand why open source contribution has been so normal for so many developers, but the concept hasnât taken off much beyond tech despite significant efforts (e.g. Creative Commons). What may play into it is that tech and the skills associated are easier to monetize, which makes money less scarce and allows one to free up time. If startup salaries are anything to go by a programmer may make double, triple or more than a graphic design artist.
Now, itâs easier to apply open source dynamics to non-technical projects, make the work available publicly and still capture a financial upside, so that all the contributors can be compensated and incentivized to keep contributing or scale up their commitments.
For artists, it allows them to stop thinking about games of scale that leverage the social media dynamics of the 2010s and instead double down on the community dynamics of the 2020s.
Weâre at a unique moment for innovation in music. This moment stands shoulder to shoulder with the Napster moment and the early web2 moment that gave rise to Music Hack Days, Spotify, SoundCloud and pushed into prominence music distributors as startups.
Themes of this moment include all things âmetaverseâ (whatever that means nowadays), livestreaming and other virtual interaction models, and the realities of web3 creating community empowerment and opening new sources of revenue for artists which can knock a 0 off of the old 1,000 True Fans adage.
Today I will focus on the latter: web3, which should come as no surprise to regular readers. The web3 can be noisy, especially if you havenât found your niche yet. Some of the smartest teams Iâve ever interacted with are operating in this space, whether thatâs through NFT marketplaces like Catalog, Mint Songs or Sound.xyz, to communities like Water & Music, Songcamp and Friends With Benefits, to organisations that create infrastructure for a much wider space, like Zora and Mirror.
If you wanted to stay up to date with the latest ideas 10ish years ago, youâd follow blogs like Hypebot, MusicThinkTank and TechCrunch and learn about the latest music startups. Youâd scroll through the wikis of Music Hack Day to see what developers had been creating by mashing together APIs – maybe even giving them a follow on Twitter.
Another great way is following what startup accelerators are picking for their batches. Specialized accelerators like Techstars Music make this especially easy. If youâre interested in web3, you have many accelerators to pick from, though there are few as approachable and easy-to-understand as Seed Club. Seed Club specializes in tokenised communities. Instead of investing in communities with money, it swaps its token for a % of an accelerated community â in exchange, communities learn about tooling, tokenomics, community building, incentivization structures, DeFi, and get network and visibility in the web3 space, plus are introduced to the club of alumni. Itâs an interesting model and Iâm fairly convinced weâll see versions of this swap-model in many accelerators, since it aligns long-term incentives so well. Whatever emerges to be the YCombinator of this generation (maybe thatâs Seed Club), will have some form of this model.
Before I continue a disclosure: through past participation in Seed Clubâs community, I hold some of their tokens. I also hold a Zora Zorb, am in Mirrorâs DAO, hold Friends With Benefits tokens, hold Water & Musicâs tokens, hold Songcampâs Elektra tokens, and have purchased a music NFT through Sound.xyz. I also wish to participate in some of the projects mentioned below. I hope this also illustrates how interconnected, supportive and community-driven the space is.
What should the music biz know about Seed Clubâs cohort 04?
Seed Club just announced their latest cohort. It provides an excellent snapshot of this moment in time, so I would like to highlight the ones that I think are especially relevant to the music business, though I highly recommend browsing through them all. A project Iâm spending the majority of my time on is also in there, which Iâll save until last.
You can find the full announcement here and tweet thread here.
đž FLOPPY
Floppy is a web3 based decentralized audio workstation (DAW) and first person sampler (FPS). I donât know how and when, but they arose out of the Songcamp community when I missed two or three calls when I was on holiday last year. You can read more about the project here.
𧏠GROW YOUR OWN CLOUD
GYOC wants to let artists launch their works in the data format of the future, DNA. Their mission is to transform data centres from carbon creators to carbon absorbers using DNA data storage technology.
đŹ IMPSSBL
IMPSSBLâs Proof of Story project develops characters with AI-written stories. Over the past years, world-building and narrative creation have become ever more important assets and skillsets for artist teams. Things like this can help, or perhaps even spawn AI-based virtual pop stars (also read: your own personal AI-music star).
𧰠METALABEL
âMetalabels are a new kind of label. Metalabels are groups of people working under a common identity for a common purpose with a focus on releases â distinct public works that reflect and manifest their views.â
Metalabel aims to provide the tools, resources, funding, community and support for culture labels that extend beyond music. Their founding team includes the founders of Kickstarter, Ampled and Etsy.
đť MuseDAO
Iâm excited about this community bringing classical, historical and roots music into the web3. Thereâs definitely a very loosely connected network of people from these domains of music active in the space, however this area of music, with centuries-old institutions, could definitely do with more concentrated collaboration and it looks like MuseDAO intends to carry that torch.
đ MUSIC OS
MusicOS aims to make use of the open nature of data, protocols tooling in web3 and build a dashboard for fans and musicians to use. At least, thatâs how this reads. Phenomenal team, by the way. Stay tuned.
đ SONGADAO
SongADAO, for now, is the story of Jonathan Mann, whoâs been recording and posting one song per day since 2009. Thereâs a fascinating backstory to the DAO, which was crowdfunded by selling all the âSong A Daysâ as NFTs, so I highly recommend you check out Jonathan on the Bankless podcast.