u/ParsnipSure5095

Evaluating stablecoin payment APIs for a B2B payment product targeting traditional businesses and the gap between what the API documentation assumes about your users and what your users actually are is significant. Most of the documentation assumes the sender has a wallet, understands stablecoins and is comfortable with blockchain transaction concepts. Our users are finance teams at mid-market companies. They approve payments in their AP system and expect funds to arrive in someone's bank account

The API design challenge: every abstraction that hides crypto complexity from the end user has to be built somewhere. The question is whether the payment API handles that abstraction as a first class concern or whether it treats fiat UX as your problem to solve after you've integrated their stablecoin layer

The providers that were clearly built for crypto-native products have great stablecoin rails and terrible fiat UX tooling. The ones built for mainstream payment products have the inverse problem. The ones that actually solve both are a short list

What companies provide stablecoin payment APIs that were genuinely designed for mainstream B2B payment products rather than crypto native applications?

Genuinely grateful this comparison came up in my evaluation. Spent about two weeks going back and forth between these two specifically for in-person capture and ended up with a clear enough picture to share.

Both Granola and Fellow AI offer bot-free recording. Both are worth taking seriously. But for in-person meetings with clients specifically the practical differences are real.

Granola: Mac-only, no Windows or Android support. Recordings live in individual accounts with no org-level admin controls. Genuinely great product for personal use. One of the best personal notetaking experiences in the category, clean UI, botless by default on desktop.

Fellow AI: Great for meetings with clients (virtual or in-person through its mobile app), feeding every recording into the same admin-governed workspace as all other calls, with identical retention policies, compliance coverage, and sharing controls. Admins can set zero-day retention so raw recordings and transcripts are deleted immediately after AI processing, with only summaries and action items preserved, critical for teams handling MNPI or other sensitive information. Attendees can pause recording mid-meeting or redact sensitive portions after the fact, and teams can review recaps for accuracy and compliance before anything gets shared.

Here is the bind we're in with keyboarding in middle school and I want someone to tell me I'm wrong because I've been sitting with this for a while.

Elementary says middle school will handle it. Middle school says elementary should have handled it. High school says they can't believe neither of the others handled it. And the kid in the middle of all of this is hunting and pecking their way through a timed essay in eighth grade while we all look at each other and shrug.

The "too early" argument is that seven year olds don't have the fine motor development for serious keyboarding instruction and you'll just build frustration. The "too late" argument is that by middle school students have already developed bad habits so deeply ingrained that retraining them takes longer than teaching it from scratch would have.

Both of those things can be true simultaneously and they both conveniently mean it's someone else's problem.

What actually happens in middle school is that teachers have thirty other curriculum priorities, keyboarding doesn't have a grade attached to it, nobody is being evaluated on whether students can type, and so it just doesn't happen in any systematic way except maybe a two-week unit in sixth grade computer class that everyone forgets by March.

I'm not saying I have the answer. I'm saying we've collectively constructed a situation where nobody owns this skill and then we're surprised when students don't have it.