Why my "metric-free" social network failed and became a toxic void

2 pointsby mekod5개월 전3 comments

I recently saw a viral video listing "startup ideas that don't exist," and one was a social media platform without metrics (no likes, no followers, no counts) to fix social anxiety.

I’ve actually built this before. I had the same hypothesis: if we remove the dopamine-chasing metrics, people will engage in pure, meaningful conversation.

I was wrong. Here is what happened:

The 4chan Effect: Without the "social guardrails" that metrics provide (even if they are toxic), people didn't become more thoughtful; they became more chaotic. Without a sense of "reputation" or "public standing," the content quickly devolved into nonsense and 4chan-style toxicity.

The Vacuum of Value: Users didn't know what was "good." In a world with no metrics, everything has the same weight. It turns out humans need some form of social proof to navigate information.

The Engagement Paradox: People complain about metrics, but they don't know how to interact without them. Content creators stopped posting because there was no feedback loop.

The project is now forgotten and dead. I realized that you can't just remove the "bad" parts of human nature by deleting a few lines of code (like 'likes' or 'shares'). You just create a vacuum that gets filled by something worse.

Has anyone else tried building "calm tech" and faced this "reputation-free" chaos?

3 comments

mekod5개월 전

One thing I didn’t anticipate is how removing explicit feedback also removes accountability. Without visible response, people don’t just post freely, they post carelessly.:) I’m now convinced “no metrics” isn’t enough; you need alternative feedback primitives that guide behavior without turning into dopamine counters.

gus_massa5개월 전

I expected something like this to be fill by more spam than toxicity. Where the pages invisible without login?

mekod5개월 전

There was no login option in the app, and I was expecting spam. By toxic content, I mean meaningless and empty. There were at least 200 people from the Hacker News community, and hundreds more were sharing content. Even these people didn't try to leave a meaningful mark, which was unexpected. And regarding spam, I was very afraid of it and took serious precautions on the backend, but I still didn't see any spam other than attempts to spoof the algorithm (by spoofing the algorithm, I mean a post could rank higher based on its freshness, depending on how many clicks and shares it received).