
Helicone AI
Langfuse
Portkey
BareMetrics
ChartMogul
ProfitWell
MarginDash
Gross margin per customer for AI SaaS

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Website, pricing, platforms and company facts side by side.
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| Website | marginward.com | launchrender.com |
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| Company | Startup from France · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


MarginWard shows gross margin per customer for AI SaaS. It joins your LLM costs (Langfuse, OpenRouter, or a simple ingest API) with your Stripe revenue, flags customers who are unprofitable, and alerts you the moment one turns red. Free calculator, no signup. Paid plans from $29/mo.
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MarginWard — gross margin per customer for AI SaaS
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing MarginWard and LaunchRender.
MarginWard's answer
Founders and teams building AI SaaS on flat or subscription pricing, products where LLM tokens are a real per-customer cost. From solo founders to small product teams who need their true unit economics, not just their MRR.
MarginWard's answer
MarginWard is the only tool that joins your LLM costs with your Stripe revenue to show gross margin per customer. Cost-tracking tools show spend; revenue analytics show MRR, neither tells you which customers cost more than they pay. MarginWard does, and alerts you the moment one turns unprofitable.
MarginWard's answer
Observability tools track your LLM spend but don't know your revenue; SaaS analytics track revenue but ignore token cost. MarginWard is built for the intersection, gross margin per customer, with alerts on unprofitable accounts. Read-only Stripe key, plugs into Langfuse/OpenRouter or a simple ingest API, set up in ~15 minutes. Flat pricing, never a percentage of your spend. There's also a free calculator, no signup.
MarginWard's answer
MarginWard was built by a solo founder running his own AI SaaS. One month he realised his biggest customers were also his least profitable, burning more in LLM tokens than they paid, and Stripe never told him. So he built the tool he wished existed: the real margin of an AI product, customer by customer.
MarginWard's answer
Next.js, TypeScript, Supabase (PostgreSQL), Stripe, Vercel, Tailwind CSS, Resend, with Langfuse and OpenRouter integrations for LLM cost data.
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