Manish123_

Re:AI product isn't expensive, your pricing is lazy on Friday January 30, 2026 @01:47PM (#46828278)

Spot on. The 'brittle' feeling usually comes from the disconnect between the engineering team shipping features and the finance team trying to project margins. When every agent loop is a pricing decision, you can't rely on a monthly billing cycle to tell you if you're profitable. Treating pricing as part of the runtime is the only way to scale without getting a nasty surprise on your compute bill.

Re:OpenAI just launched "ChatGPT Go" in India at ₹399/month with UPI on Tuesday August 19, 2025 @01:27AM (#44948515)

100%, I think this also being driven by FOMO around how you can not leave biggest people centres aside...

Re:OpenAI just launched "ChatGPT Go" in India at ₹399/month with UPI on Tuesday August 19, 2025 @01:24AM (#44948502)

I think this move makes sense given perplexity and gemini partnering with indian tech giants to distribute AI to the largest chunk of active internet users...

What happens to the people who were already spending $20? do they get to downgrade?

I am excited to see how Meta will be playing the cards here

Re:Show HN: Flexprice: Open-Source Usage-Based Billing Toolkit on Monday June 30, 2025 @09:02AM (#44422785)

This looks similar to some of the billing tools from YC, are you guys doing anything extra?

Pricing AI Products Differs from Traditional SaaS: The Complex Reality

Posted by Manish123_ on Saturday August 24, 2024 @04:12PM
from the self-post dept.

Pricing AI products is far more complex than traditional SaaS. Here’s why:1. Variable Costs: AI models have unpredictable costs tied to usage, unlike the fixed costs of SaaS.2. Dynamic Usage: Costs fluctuate with demand and model complexity, requiring advanced metering.3. Feature Access:AI needs flexible pricing for different models and features, unlike standard SaaS paywalls.4. Scaling...

( Read More... | 1 comment | on HN )