Self-expression is one of our oldest instincts. We imagine possibilities and give them form through language, music, movement. We draw paintings, sculpt sculptures, write letters, capture images, record videos to express ourselves and share a mutual feeling. Self expression helps us connect with each other, find the best ideas among us. With the passing day, the ways of expressing through art and craft are moving to bits. Code lets us build worlds unconstrained by physics, economics, or permission.
Even though ideas can take any shape in code making all possible, there is no such thing as free lunch. Expressing imagination in digital form requires expertise gained over years and work that spans over months. This is what we consider to be a tax on creation. Once we have some version of an expression, getting it to the right people requires careful orchestration of campaigns and resources. This is what we consider to be a tax on distribution.
This tax on creation and distribution creates a lag on human progress. We all have had ideas that we know should exist but the path from thought to expression is a maze of apps, formats, and workflows. Most ideas never make past this valley of death. For ideas that are turned into expressions through sheer effort, most never reach another human being, who might be looking for the exact thing you created.
Value creation and distribution is just too inefficient. Current systems benefit the gatekeepers asymmetrically. They trap us in network effects and keep us on the hook. They lock us in platforms and we never move forward. The incumbents lead with an extractive business model. We are longer the customers of technology, but the product itself. The experts will tell you that there are no better way as long as the current systems benefit them.
The technology window just opened for the first time in decades. Software is changing. Compute is evolving. Intelligence becoming abundant. Every incumbent, racing to keep up with the changing world, is trying to stitch these new capabilities on computers onto their decades old architectures so that they can contain the innovation. Something we cannot let happen.
We imagine a world where the best ideas win on merit, where everyone can take part in creation, where ownership is personal, collaboration is effortless and the technology adapts to us, instead of the other way around. A world where we're no longer shaped by the limitations we inherit, but strengthened by the systems we choose to build. A world where the next era of technology reflects the imagination of the people who use it.
From Imagination to Creation
We are the curious ones, the builders, the creators. We see the way things are, and imagine the way things could be. We observe the problems and create solution for the way things should be. We create art, craft and technology to mold the world as we see fit, using tools we have at our disposal.
The process of creation is not easy. We do it regardless. We do it because we know it must be done. For this work, is what makes a better tomorrow, may be not for everyone, at least for someone. The process of creation, takes months, years and sometime decades. Our only leverage in this process of creations is the tools we use.
What if we could accelerate the process of creation? What if creating art, craft and technology is skill everybody can learn? What if everyone has the tools to turn their imagination into creation? What if the best ideas won regardless of market dynamics? What if everyone benefitted from each others creations? What would such a world look like?
Friction in Creation
Every idea begins as an imagination - a insight, a visual, a spark of “aha”. Imagination requires expression to be real. The moment we try to give that imagination a form, we are the faced with friction. The act of creation is not a linear path, but a constant back and forth between our imagination and the world.
The creations were slow when the tools were primitive. As the civilization moved through time accumulating specific knowledge and improving the tools we have, the advancement accelerated. The 20th century marked the beginning of the future, where the tools went from being physical to digital. The recents developments in artificial intelligence continue to advance our digital toolkit with the promise to solve even complex problems. But, there is a gap.
The process of creation, the translation between imagination and expression, though faster than ever, still feels primitive. We move between dozens of tools — applications, IDEs, CLIs, notebooks, cloud consoles, file systems - each operating on its own interface, format, logic, and data layer. None of these systems share a common context with each other or the operating system beneath them.
This context fragmentation creates an invisible translation tax on every creative act.
Context Fragmentation
Tools today operate as disjointed appendages without a central cognitive core. The friction of fragmented context was ignorable for Pre-LLM tools where humans held the context and tools were used for execution. Now with LLMs as orchestrator, missing context creates a bottleneck to what the agents can achieve. Working with agent today, without full context, feel as if creators are herding cats instead of orchestrating a symphony.
Constrained Leverage
Creative processes are forced into linear pipelines—start with ideation in one app, prototype in another, iterate via clunky handoffs—assuming a predictable sequence that mirrored industrial assembly lines. This ignored the chaotic, branching nature of true creativity, where ideas fork, merge, and pivot unpredictably. Current tools tax emergence by requiring manual orchestration, stifling serendipity and turning innovation into a scripted chore. From our vantage, this linearity is a cognitive straitjacket, bottlenecking the explosive potential of hybrid human-AI ideation.
Learning Curve
All creation starts with an idea but all ideas do not lead to a creation. The promise of creation, as well as the quality depends on the level of mastery one has over the tools. Unfortunately, tools don't adapt to user. This is something that we can change with abundant intelligence. We could build wrap tools with intelligence to know where the tool user is, on their journey to mastery and guide them through the maze of up-skilling.
Friction in Distribution
As its often quoted in startup land, a mediocre product with great distribution often beats a great product with mediocre distribution. We think of this as a bug within the digital markets, not a feature. Distribution as a bigger leverage over substance creates all sorts of misaligned incentives that independent actors optimize for, to win at all costs. We believe gated discoverability is a net negative to the society.
Gated Discoverability
Distribution is often a graveyard of best ideas. In an ideal world, you would imagine that the best products win the market. If you have built a business, you would know it not necessarily true. The best companies from a shareholder’s perspective are built upon the best distribution to the market. Currently, the distribution is expensive. The biggest budgets in most of the companies are allocated to marketing and sales. To find the next customer over the web.
Centralization
Distribution is expensive, because it is controlled by a few monopolies on attention. Google controls the web, Meta controls attention on social networks, Amazon controls attention on commerce. Its in the nature of incumbents to look for stability not innovation. Technology moves faster than incumbents can catch up but legacy distribution keeps market share intact.
This is ultimately bad for the customer as they are unknowingly left without access to the most suitable product for them and left at the mercy of companies with the biggest ad budgets.
Nobody likes Ads
If you need to find a problem in the system, start with incentives. The root of all problems with the current web 2.0 systems comes from the fundamental business model of ad based revenue. Advertisements create a fundamental misalignment of incentive of that of the platforms and that of the consumers. Platform optimizes for revenue at the cost of consumers well being.
The Consequence
The taxes on creation and distribution of value creates an unseen drag on human progress. On one side, friction in the process of creation makes it hard to turn ideas into reality. On the other, the gatekeeping in distribution make it hard to distribute value.
To move forward, we must reimagine our systems from first principles — aligning human ingenuity, machine intelligence, computational power and global network to create the most beautiful art, craft and technology and make them available to everybody.
Promises Of 2025
The world is moving fast. Software was eating the world. Now, intelligence is eating software. This new type of software ( aka neural nets ) enable new possibilities. Code generation is becoming ubiquitous which will lead to always live software. Interfaces will have higher bandwidth for input/output. For once, we might get personalization that serves purposes beyond serving relevant advertisements. New form factors are set to take the stage forming new habits. While we see an optimistic future, nothing is ever promised, only earned, though intentions and actions.
Generative Interface
The computing interfaces we have are static. You see a screen with pre defined layout, every button, every scroll pre-programmed. We bounce through layouts, scroll through pages to find the right point to click. Not only navigation is unintuitive for the information dense web, its also inefficient. Imagine all the websites and applications that need to rewrite and manage the same front end code to display the same layouts. Almost all websites look same, almost all applications follow the same ui components and user experience flows, yet all individually bear the cost of creating and maintaining the interface. Not only it is more efficient to generate screen interfaces on the end user device, it also leads to a more consistent, intuitive user experience. All user interface will converge at the last point of delivery, no pre programmed but generated on demand.
Personal Intelligence
Intelligence is useful when its relevant. Personalization has been a long overdue promise of technology yet the only places we see personalization is in making advertisements relevant. Personal Intelligence, when done right, will be more useful to consumers for the foreseeable future than general intelligence. An intelligence that could mirror aspects of yourself in digital environments will reduce our screen times and direct use of computers directly while getting more done, discover product and services that are more relevant to your needs without the endless feeds, help you make social connections you didn't know you needed. It could be the teacher you always wanted. The possibilities are endless. More on this later.
Live Programmes
Software programmes have been static since the birth of programming. A developer writes a program to achieves an objective. As the new objectives are added, the programmer updates the program manually. Programmes have been stateless, externalizing the memory to a database, running when invoked and reading/writing to database as necessary. Soon, things are about to changes. The programmes of the future will be live, always on and actively evolving.
Integrated Compute WIP
Edge Inference WIP
Mixed Realty ( glasses + headsets ) WIP
Wearables WIP
Brain Computer Interface WIP
An Opinionated View On The Future
We believe the next era of human progress will not be built by artificial intelligence independently, but by the humans using artificial intelligence. A world where Artificial intelligence does not replace humans — it enables us to do more.
Artificial Intelligence will be personal, private, and symbiotic — a digital counterpart that grows with you, understands your context, and amplifies your intent across every surface of life.
The current state of computational stack is not ready to correctly leverage the intelligence that is on its way. We are currently in the very early innings of reshuffling of the computational stack to adapt to this new software paradigm. If left to incumbents, we are bound the face the same fate as that of the web, centralized and ad based and serving companies over consumers.
We cannot let the most profound technology of our times to be left in the hands of businesses with extractive business models. We, as the collective world, deserves technology that is better aligned to individual human interests.
Our vision is to build personal intelligence for each human, that is private, aligned and user owned, and supporting infrastructure to allow for free flow of ideas and products that emerge from that this intelligence.
In this world, every human has their own intelligent system — not a corporate AI trained to sell ads, but a personal intelligence designed to empower. It learns privately, evolves continuously and serves the user.
This is not a new app, but a new system — one that redefines how humans use compute to create and collaborate.
Our mission is to make this future real by building private, intelligent, and capable AI for every human — system that serves as your memory, your mind, and your interface with the world.
The age of passive computing is over.
The age of personal intelligence has begun.
Personal Intelligence require a new computational stack.
Rebuilding The Stack From Ground Up WIP
Interface WIP
Intelligence WIP
Tools WIP
Devices WIP
Network
The Web is built on the Internet infrastructure but represents only one application layer. While web has its benefits, its mostly controlled by Google. Google’s control over search, browsers and advertising creates a centralized chokepoint that contradicts the web’s original decentralized vision and contributes to the distribution tax.
Technical Debt: The web technology stack has accumulated decades of legacy code and compatibility requirements, making development increasingly complex and inefficient.
Limited Interactivity: Despite advancements, the web remains primarily oriented toward static content consumption rather than rich interactive experiences.
Economic Limitations: Lack of native payment infrastructure has forced reliance on third-party payment processors and inhibited micropayment models.
Identity Problems: Know Your Customer (KYC) requirements create privacy concerns while failing to balance security, anonymity, and accountability.
Advertising Model Failures: Ad-based revenue models have led to privacy violations, attention exploitation, and content degradation.
Discovery Challenges: Finding relevant content increasingly relies on centralized algorithms rather than organic discovery or user-driven curation.
Walled Gardens: Major platforms restrict data portability and cross-platform integration, fragmenting the user experience.
Alternative Networks: The future may involve Internet alternatives or overlay networks that address the web's fundamental limitations.