
Adobe Learning Manager
Udemy
Moodle
LMS Collaborator
MindTickle
WorkRamp
Datacamp
Ramp faster, hone skills, and personalize coaching. Click here to see how Seismic Learning (formerly known as Lessonly) streamlines learning and coaching.

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

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | seismic.com | marginward.com |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from the United States | Startup from France · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Seismic Learning yet.
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.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


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MarginWard — gross margin per customer for AI SaaS
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Seismic Learning and MarginWard.
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.
Share your experience with using Seismic Learning and MarginWard. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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