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MarginDash
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MarginDash tracks AI API costs per customer and connects them to revenue. If you're building a SaaS that makes API calls to OpenAI, Anthropic, Google, or other providers on behalf of your customers, MarginDash shows you which customers are profitable and which are underwater.
You add a few lines of SDK code (TypeScript, Python, or REST). It logs model name, token counts, and a customer ID after each API call โ no prompts or responses leave your servers. It connects to Stripe for revenue and shows a per-customer P&L with cost, revenue, and margin.
The cost simulator lets you pick any feature, swap the underlying model, and see projected savings. Models are ranked by intelligence per dollar using public benchmarks (MMLU-Pro, GPQA, AIME), so you're comparing quality, not just price. Budget alerts email you before a customer or feature exceeds a cost threshold.
The pricing database covers 100+ models across OpenAI, Anthropic, Google, AWS Bedrock, Azure, and Groq with daily updates, so cost calculations stay accurate without maintaining a spreadsheet.
CloudConvert MarginDashCloudConvert is recommended for users who regularly need to convert files between different formats, whether for personal, educational, or professional purposes, and prefer an online solution that doesn't require software installation.
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MarginDash's answer:
Ruby on Rails, PostgreSQL, TypeScript, Python
MarginDash's answer:
Most AI observability tools track what your API calls cost. MarginDash tracks whether your customers are profitable. It connects AI costs to actual Stripe revenue and shows realized margin per customer โ the number that determines your pricing and where to cut costs.
MarginDash's answer:
Three reasons: it connects cost to revenue (competitors only show cost), the cost simulator ranks alternative models by intelligence per dollar so you know quality won't drop, and the SDK never touches your prompts or responses โ just metadata.
MarginDash's answer:
SaaS founders and engineering teams that resell AI API features to their customers and need to know which customers are profitable after AI costs.
Based on our record, CloudConvert seems to be a lot more popular than MarginDash. While we know about 43 links to CloudConvert, we've tracked only 1 mention of MarginDash. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
General converters like CloudConvert handle dozens of formats including PDFโMarkdown. They're convenient when you already use them for other conversions. - Source: dev.to / about 1 month ago
I tried 3 options, for converting a DWG to a DXF -- FreeCAD, CloudConvert and LibreDWG, and I will be Talking about how all 3 options failed for me. - Source: dev.to / about 2 months ago
Convert the PDF to an image using a tool like pdf2png.com or CloudConvert. - Source: dev.to / 8 months ago
Cloudconvert.com โ Convert anything to anything. Two hundred eight supported formats including videos and gifs. - Source: dev.to / over 2 years ago
I used https://cloudconvert.com/ and converted the mp4 I downloaded from https://twittervideodownloader.com/ to mp4 again and it worked. The issue makes no sense but this is a temporary solution. Source: over 2 years ago
Tag every API call with a customer ID and feature name, then compute cost per call from token counts against current model pricing. That gives you per-customer cost attribution instead of just an aggregate bill. Budget caps per customer bound the risk โ a runaway loop hits the cap instead of your margin. We built this as MarginDash (https://margindash.com) โ the cost calculation piece is also available as a free... - Source: Hacker News / 4 months ago
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