Q: Your website states that Lovable is more suited for complex apps, is Greta not capable of this?
There is a blog post on your site: https://www.questera.ai/blogs/greta-vs-lovable-ai-who-is-running-the-market-in-2025
It says Greta is more suited for prototyping and that Lovable is better for scaling and production ready apps. Is that true? Is Greta not capable of building production ready apps?
I see in other similar questions you mention the complete Questera ecosystem, is this referring to PLG OS? Or are there other parts to the ecosystem as well?
If we also buy the PLG OS ltd will we be able to create production ready apps?
Q: After Greta creates and deploys your web app, how do you make updates?
Is there a staging version of the web app to test new updates and features on before deploying them live on the deployed production version? Any details on making updates after deployment would be helpful, thank you.
I'm interested in buying this deal, but I've seen cases where previous AppSumo lifetime deals had their terms or features changed after purchase—sometimes leaving LTD buyers with fewer benefits than new subscription customers.
Could AppSumo and the partner clarify the following:
What steps will you take to ensure lifetime deal purchasers get all the features and updates promised at the time of purchase, even if plan names or structures change down the line?
What protections are in place to prevent any retroactive changes that could reduce or restrict LTD users’ benefits compared to new subscribers?
Will you provide a public statement on the product page explaining how AppSumo enforces lifetime deal terms for both current and future SaaS deals?
I’m not new to AppSumo, but is this really where things stand now?
We're spending a lot of time and compute credits on the current back-and-forth of human-driven bug identification and AI refinement. Instead of manually testing and describing bugs to Greta AI, could you implement AI agents in the backend that autonomously handles the entire feedback loop: coding, testing, and deployment? What do you think about working on this feature?
Q: Your website states that Lovable is more suited for complex apps, is Greta not capable of this?
There is a blog post on your site: https://www.questera.ai/blogs/greta-vs-lovable-ai-who-is-running-the-market-in-2025
It says Greta is more suited for prototyping and that Lovable is better for scaling and production ready apps. Is that true? Is Greta not capable of building production ready apps?
I see in other similar questions you mention the complete Questera ecosystem, is this referring to PLG OS? Or are there other parts to the ecosystem as well?
If we also buy the PLG OS ltd will we be able to create production ready apps?
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Q: After Greta creates and deploys your web app, how do you make updates?
Is there a staging version of the web app to test new updates and features on before deploying them live on the deployed production version? Any details on making updates after deployment would be helpful, thank you.
Share Greta
Q: Who can you trust?
I'm interested in buying this deal, but I've seen cases where previous AppSumo lifetime deals had their terms or features changed after purchase—sometimes leaving LTD buyers with fewer benefits than new subscription customers.
Could AppSumo and the partner clarify the following:
What steps will you take to ensure lifetime deal purchasers get all the features and updates promised at the time of purchase, even if plan names or structures change down the line?
What protections are in place to prevent any retroactive changes that could reduce or restrict LTD users’ benefits compared to new subscribers?
Will you provide a public statement on the product page explaining how AppSumo enforces lifetime deal terms for both current and future SaaS deals?
I’m not new to AppSumo, but is this really where things stand now?
Share Greta
Q: Do unused credits roll over?
Do the monthly credits roll over upon monthly reset?
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Q: When "agentic" coding?
We're spending a lot of time and compute credits on the current back-and-forth of human-driven bug identification and AI refinement. Instead of manually testing and describing bugs to Greta AI, could you implement AI agents in the backend that autonomously handles the entire feedback loop: coding, testing, and deployment? What do you think about working on this feature?
Share Greta