I believe Softr just revalued their credits. I received this via email:
3. Credit denomination update (no price change). We're also simplifying how AI credits are displayed.
- Previously, 100 credits represented 1 unit of usage.
- Going forward, 100 old credits will equal 1 new credit.
This is purely a denomination change to make usage easier to understand and manage. There is no change to pricing or the total value of your credits, and your purchasing power remains exactly the same. Only the way credits are counted and displayed has been simplified. If you have any questions, we're always happy to help.
Credit based pricing gives you more dials than conventional pricing models. There is the price per credit and then what a credit buys. This flexibility can be good but it can also be used to obscure pricing and price changes.
Did they explain why they wanted to do this 100 to 1 consolidation?
It is interesting to compare the price per credit number across solutions. There is huge variation here. I am wondering if many people bother to calculate the price per credit, how it changes across tiers and with volume, and what it signals. I am see ranges of $5 per credit to fractions of a penny per credit. The number by itself does not mean a lot of course, as there is also a great deal of variation as to what a credit gets you. I plan to research this over the next few days and see what patterns if any I can find. Have you looked at this?
I've definitely looked into a bunch of models but haven't done an empirical study on it. I think this is the hardest thing about credits. In tunnel vision, with your own product, it makes sense. But when everyone uses credits, it becomes increasingly hard to remember the denominations.
Brandon Hickie who leads monetization for LinkedIn has predicted that the large platform vendors will move to provide standardized credit wallets and credit systems so that credits can be bought and then applied across different agents. It will be interesting to follow this.
I think the mechanics are easy, you or I could design this in a few days and then vibe code it. What is more difficult are the politics. Why would I (as valueIQ) want to participate in this system and suffer the loss of control? But then, maybe a distributed wallet is possible, as an open source project or from a third party ... in any case I think this is more than a year out. But things sometimes move fast in AI land as we can see with MCP.
I believe Softr just revalued their credits. I received this via email:
3. Credit denomination update (no price change). We're also simplifying how AI credits are displayed.
- Previously, 100 credits represented 1 unit of usage.
- Going forward, 100 old credits will equal 1 new credit.
This is purely a denomination change to make usage easier to understand and manage. There is no change to pricing or the total value of your credits, and your purchasing power remains exactly the same. Only the way credits are counted and displayed has been simplified. If you have any questions, we're always happy to help.
Credit based pricing gives you more dials than conventional pricing models. There is the price per credit and then what a credit buys. This flexibility can be good but it can also be used to obscure pricing and price changes.
Did they explain why they wanted to do this 100 to 1 consolidation?
I have not seen the full explanation, but from the Community it seems it was to make things simpler.
Will update the post. Thanks Greg!
It is interesting to compare the price per credit number across solutions. There is huge variation here. I am wondering if many people bother to calculate the price per credit, how it changes across tiers and with volume, and what it signals. I am see ranges of $5 per credit to fractions of a penny per credit. The number by itself does not mean a lot of course, as there is also a great deal of variation as to what a credit gets you. I plan to research this over the next few days and see what patterns if any I can find. Have you looked at this?
I've definitely looked into a bunch of models but haven't done an empirical study on it. I think this is the hardest thing about credits. In tunnel vision, with your own product, it makes sense. But when everyone uses credits, it becomes increasingly hard to remember the denominations.
Brandon Hickie who leads monetization for LinkedIn has predicted that the large platform vendors will move to provide standardized credit wallets and credit systems so that credits can be bought and then applied across different agents. It will be interesting to follow this.
That’s fascinating. Very curious to see how that would work!
I think the mechanics are easy, you or I could design this in a few days and then vibe code it. What is more difficult are the politics. Why would I (as valueIQ) want to participate in this system and suffer the loss of control? But then, maybe a distributed wallet is possible, as an open source project or from a third party ... in any case I think this is more than a year out. But things sometimes move fast in AI land as we can see with MCP.
I feel like the cognitive load on humans could be pretty heavy. If agents are managing credit allocation I could see that working.