$ASKR | Swap any asset to use any AI.
No unsustainable discounts, staking or fake brands.
We're building personalised fusion so your AI can perform for YOU.
$ASKR is now live.
One workspace, every major AI model in one place. Top up with crypto, pay per what you use without the subscriptions.
https://t.co/jc3hwPKwLN
CA: 0xa92768863a55d8A0591709f7f5E594A249d36Ea3
@_0xghost_ If you're a regular developer, you can use a terminal directly or plug it into your current workspace like VSC too!
Tutorials in the docs: https://t.co/Otk4mE6kxf
If not, generate a cute dog pic instead :)
@marcuslayerx Agreed and planned on the 3rd, half of the 2nd was planned and your 1st is an excellent idea.
Question is, when we ship it - how do you want the credit?
@marcuslayerx@EricCryptoman It's live and has been live for a while, if you shoot us a DM and create an account we can get you set up on platform or via terminal to play with :)
Love to get early feedback from all kinds of users!
@LostToTheEchoes@ZBZB1993@marcuslayerx We 100% agree, take a look at our 3 core ideas below.
But really it just comes down to cost effective performance for each user individually, which in our opinion is achieved through fusion (mixing agents) models and skills made per user from their data
https://t.co/6b5gNdix0B
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: https://t.co/Yxj7KnHORi
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?
We've been live and building around our users since the 1st week of August!
You can try right now via email, but tomorrow you'll be able to try via a wallet or a much more private entering point like simply a username/password.
We're going to be giving out free credits next week to holders to use the platform too, so if you like $ASKR, you can use it for free shortly :)
Over 1200 people have now chosen $ASKR to win since we launched.
The thesis is simple - give people what they want, and they will come. Keep doing it and they will stay.
We wouldn't want to be doing it anywhere other than on @RobinhoodCrypto.
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: https://t.co/Yxj7KnHORi
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?
We've requested for $ASKR and our lead developer to be verified on @fomo.
We would fear https://t.co/jc3hwPKwLN being missed out!
Check your emails @seyong π
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: https://t.co/Yxj7KnHORi
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?
And last but not least for day 1 listing applications...
We've submitted our full details to @etherscan to update our robinscan page/details so your wallets will show the $ASKR price, logo and more ASAP!
>https://t.co/D7FppS0kMh
Next for listing websites, we've filled our the form for $ASKR to be listed on @coinmarketcap: 1458213
Join our community, your credits are waiting!
> https://t.co/TgbQSGFTTj
Our dev tokens bought at launch have been locked for 26 months via @TeamFinance_, with none moving for a minimum of 6 months.
Our website and docs have also been updated with our official $ASKR tokenomics.
> https://t.co/oEyOmgFPRT
> https://t.co/iWzS9uWDFu
Built to benefit anyone from a full time developer, to the casual prompter.
Swap any asset for any AI, use them privately in one single UI.
And soon with shared memory, your own custom fusion skills, models, credit-to-asset trading and more.
$ASKR is now live.
One workspace, every major AI model in one place. Top up with crypto, pay per what you use without the subscriptions.
https://t.co/jc3hwPKwLN
CA: 0xa92768863a55d8A0591709f7f5E594A249d36Ea3