gdhaliwal23

3 ms·

1. 1.▲
   by gdhaliwal23 7mo ago

   You're right that Langfuse and Helicone are retrospective — they show traces but don't roll up to "feature X costs $0.12/invocation." A middle ground that's worked: tag every API call with a feature ID during p
2. 2.▲
   Show HN: Stop over-budget AI API calls per customer/feature (no proxy)(margindash.com)

   2 points by gdhaliwal23 7mo ago|2 comments
3. 3.▲
   by gdhaliwal23 7mo ago

   I built MarginDash so teams can stop over-budget AI requests before they’re sent. What it does: - Set budgets at company, customer, and feature level - SDK checks budget first and blocks requests that exceed limits - Your app stil
4. 4.▲
   by gdhaliwal23 8mo ago

   Founder here. Gemini actually suggested I build this. I was brainstorming SaaS ideas and it pointed out the gap between AI cost tracking and revenue attribution. I dug into it, agreed, and built it. The hardest part was the cost simulator.
5. 5.▲
   Show HN: MarginDash – See which AI customers are profitable(margindash.com)

   1 points by gdhaliwal23 8mo ago|1 comments
6. 6.▲
   by gdhaliwal23 8mo ago

   Founder here. Gemini actually suggested I build this. I was brainstorming SaaS ideas and it pointed out the gap between AI cost tracking and revenue attribution. I dug into it, agreed, and built it. The hardest part was the cost simulator.
7. 7.▲
   Show HN: MarginDash – See which AI customers are profitable(margindash.com)

   1 points by gdhaliwal23 8mo ago|1 comments