zlacker

[return to "AI is killing B2B SaaS"]
1. bandra+s01[view] [source] 2026-02-04 21:50:32
>>namany+(OP)
It's a tale as old as time that developers, particularly junior developers, are convinced they could "slap together something in one weekend" that would replace expensive SAAS software and "just do the parts of it we actually use". Unfortunately, the same arguments against those devs regular-coding a bespoke replacement apply to them vibe-coding a bespoke replacement: management simply doesn't want to be responsible for it. I didn't understand it before I was in management either, but now that I'm in management I 100% get it.
◧◩
2. mym199+j81[view] [source] 2026-02-04 22:30:41
>>bandra+s01
We are certainly closer now to being able to prototype and go to market faster with a product. In one weekend is a little much but I think its hard to deny that building will continue to expedite. What most developers don't think about is that the marketing, sales, customer service are all non-trivial parts of the business/product and all require legwork that is more than just sitting at an IDE. The nail in the coffin is that the data is a large part of company moats, and new products need time in the market to get that. Migration is also a long process and risky...so to get customers, a newcomer needs to provide way more value than what the incumbent gives.

I imagine you're going to have people trying to automate the whole GTM lifecycle, but eventually the developer that thinks they can bootstrap a one man enterprise without actually doing any kind of social interaction will run into a wall.

◧◩◪
3. risyac+Hc1[view] [source] 2026-02-04 22:55:21
>>mym199+j81
In any usable product making a product is like 20% or less. Enter compliance, security, payments and a million other things.

Even if you can build it in a day B2B SaaS will continue to prosper because they sell peace of mind, reliability and compliance. Not features.

Also due to economy of scale it will always be cheaper to buy something from a vendor that sells it to many clients than to DIY it.

◧◩◪◨
4. AlienR+cg1[view] [source] 2026-02-04 23:15:09
>>risyac+Hc1
Yep. It's a funny thing.

You build a Twitter. Profiles have posts, posts can have images, etc. It's very easy to model the database.

But then how do you make money with it? Now you need to build a separate system for advertising? Or do you want to sell subscriptions? Which means you need to build a separate system to handle payments. This is usually the big one, because when you handle money, what happens if there is a bug and you charge someone without delivering anything? How do you prevent fraud? How do you handle disputes?

Someone posted something illegal. What do you do in this situation? Do you call the police? The FBI? What kind of data do you give the authorities? How much data SHOULD you have been logging in the first place in case something like this happens?

One user doesn't like you so he bought a botnet to DDoS your website. How do you handle this? Are they mass posting? Mass creating accounts? Is it possible for them to exhaust all the usernames possible and then nobody can create an account anymore?

Your website is online but if the server blows up you'll lose all the data in the database. You need backups. You need a system to ensure the backups are actually working. But then some guy from the UK said he wants his posts all deleted. What are you going to do now, because his posts are also in the backups, and you don't want to touch those.

Trolls are posting things against the ToS. Who handles these things? Shadowban? So there needs to be a shadowban system? Moderators? So there needs to be a moderator-only section of the website? Should this be integrated with the main website or not?

Then you look at this horrendous mess of 6 paragraphs and you think back about the first paragraph that already did everything you wanted from Twitter. All these other systems, most of the work, and all you actually wanted was the first paragraph.

◧◩◪◨⬒
5. ground+7q1[view] [source] 2026-02-05 00:19:46
>>AlienR+cg1
All those things are true. It still doesn’t sound like 1000+ engineers at 350k/yr.

What actually happens in a startup is you encounter these problems one at a time as they arise.

◧◩◪◨⬒⬓
6. habine+yi2[view] [source] 2026-02-05 08:41:34
>>ground+7q1
Startups have no users and no data to start with, and if they fuck up security, well, they just fail sooner than expected.

Once you get past a certain size, you have very different sorts of problems. Any idiot can vibe code a facebook lookalike, but the real one has to handle hundreds of millions of users and posts while being a target for state actors.

TLDR; yes you do need that many

[go to top]