And how do you actually identify who should pay that $0.000713? And who should receive it? How do you make the process effortless, so the user doesn't have to spend 5 minutes registering on a website, just to send $0.000713?

Now make it work 10,000 times per day, for every page you visit, posts, news, short form content you scroll, long form video you watch. And multiply this by billions of users.

And once you've done that, how do you deal with spam, bots? How do you prevent invalid traffic? Fraudulent chargebacks? And how do you take quality into consideration (NYT prob want to charge more than my crappy personal blog)?

Transferring money is one small element of large and complex equation.

Advertising is not perfect, but it's the best alternative for a free and open web I have seen in my 30+ years online. Subscription works for large ticket items (and for the affluent minority), but it doesn't solve the other 95% of cases.

So what's the transaction fees to make 1e9 one satoshi payments and how long until they clear?

I think it's the coffee machine at the office

And potentially some comfy couch

You need an active internet connection to pay via QR.

NFC (EMV) works offline.

Got it, that's a good point! It's so much not an issue where I live that I hadn't realised :-). But it is an issue nonetheless.

Reminds me of some frameworks that did the top to bottom approach.

Yii (PHP) had a code generator that created all the CRUD logic for you. After generation, you could remove the code that you didn't need.

I don't think the problem is these kind of suggestions.

Are people suddenly moving more between corp A and corp B? Must be something going on, let's buy the stock.

Suddenly multiple Ubers are dropping off people at a residential building during the night? They probably know each other. Let's flag that as a potential risk.

This is very insightful

Just to give you another little titbit if you're interested. I work in go to market, and part of that is awareness, and part of that is advertising. Where people use the platform has a huge impact on the prices you pay to advertise on the platform, for example reddit is very expensive because they have a very high mobile traffic population, and the ads can't be blocked, advertising on X is hard because the people I want to reach all pay for premium, so the traffic you get from it now is basically useless, linkedin skews towards desktop, but their targeting is amazing, but because they skew towards desktop people run ad blocks, some platforms let you pick the devices you serve to, some don't, all of it impacts the price you pay to serve the ads.

So, don't do targeted advertising then?

Well, it doesn't really matter that it's expensive or hard: that's what we have VCs for. More money you can raise, better targeting you can pay up for. You'd be amazed at how much oxygen you can suck out of a market for a million bucks.

I'm worried some bad actors are reverse engineering this as well.

You're absolutely right to be concerned, this is something I think about constantly.

The reality is: bad actors don't need to reverse-engineer anything. AI engines already prioritize structured, citable content. Anyone can spin up a website with schema.org markup and fake citations. The barrier is low.

What makes this hard to abuse at scale:

1. Domain verification – For businesses, we require proof of domain ownership. You can't claim to be Apple unless you control apple.com or an official subdomain or work at apple respectively having @apple.com business mail.

2. Citation requirements – Claims need links to primary sources. AI engines cross-reference. If your "citations" point to non-existent papers or contradict other sources, you lose authority fast.

3. Reputation signals – We're building verification badges (ORCID for researchers, business registries, etc.). Over time, verified profiles will rank higher.

But you've identified the fundamental tension: any system that makes it easier for legitimate businesses to be cited also makes it easier for bad actors. This is the same problem Google faced in the '90s, Wikipedia deals with daily, and AI engines are grappling with now.

Long-term solutions I'm exploring:

- Community flagging + reputation scoring - Integration with trust registries (DUNS, ORCID, Crossref DOIs) - Transparent edit histories (like Wikipedia)

The goal isn't to be manipulation-proof, nothing is. It's to make CoThou profiles more trustworthy than the alternatives (random blogs, SEO spam, outdated info).

What would you add? This is an evolving problem and I'd love HN's input. —Marty

You are thinking to much in emoji's and emdashes.

Basically you split your bitcoin and send one part to the recipient and one part back to yourself.

Basically, that is my question: What is the lowest bit of a bitcoin ? For Euro, or other curency is 1/100 aka cent.

1 sat (Satoshi) is 1/100000000 bitcoin, so at the moment it's around 0,001 euro.

And then you get millisatoshis that can be used on the lightning network, but I've not dealt with that directly myself.

Depends on the country. In Belgium: hospitals, pubic libraries, prescription medication,

Reading the chip?