This is how
$ASKR wins.
Look at what the market already pays for...
OpenRouter: every AI model, one balance, a small cut on every request. $160M a year. Bought by Stripe in August for about $10B.
Venice: an AI app with a token. $100M a year. Its fees buy back and burn their token. About a $2B valuation.
The platform concept has been declared!
heyaskr: swap any asset for any AI... every major model in one UI behind one balance. The same starting shape.
Now look at what users actually want...
(and nobody has shipped)
1. Personalised fusion models.
A model built for one person and one person only, from how they actually interact with AI, to what they work on and the style that they prefer. One model based on pure performance or pure cost effectiveness. Built by splitting context and tasks through existing AI models.
2. Shared memory.
What you told one model, stays with every other model no matter the company or AI type. Now when you switch a model, or api, or company, it's a fresh state. AN example is claude refusing to read knowledge from codex, useless.
3. Personalised skills.
Borrow, take or build a workflow once, run it on any model. Why let AI over think, over code, waste credits or simply do anything but the thing you want?
Here's a harsh truth about the AI market...
Nobody is loyal. People switch from Claude to Codex every week, based on tweets, resets, performance, narratives.
Whoever gives a user exactly what they want at that moment in time wins the user.
The best answer or the cheapest one, from a model built around them and them only... keeps that user.
Do that for tens of millions of people and you are the platform and balance every one of them spends from.
That is the
$ASKR roadmap...
Build what the majority of AI users want actually want, and then take the users from other platforms.
Short and sweet - they want pure performance that is cost effective for their exact jobs.
Read the steps:
heyaskr.ai/docs/community/ro…
PS: and on top of that we are building novel concepts too... marketplaces where you can trade in and out from crypto to ai credits back to a different crypto. Does hedging trades with codex credits sounds fun?