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Experiment  /  22 Sep 2026

Can a model pick Show HN winners from the title alone?

5,200 real Show HN posts, title only, $0.16 and under six minutes. It ranked them better than chance and was overconfident about how likely success is.

Show HN is where builders launch in front of the internet's harshest crowd. About 98% of posts flop. About 2% reach the front page and get seen by millions.

I wanted to know how much of that outcome is already visible in the title.

Setup

5,200
real Show HN posts
$0.16
total cost
5.8 min
wall time
0
failed requests

Jev saw only the title of each post and gave a probability that it would reach the front page. No cherry-picking.

It ranks better than chance

The ranking has an AUC of 0.686. Posts it scored higher really were more likely to make the front page.

But the confidence is off

Ranking is one question. Calibration is another: when Jev says "30% chance", does it happen 30% of the time?

It does not. The calibration curve sits well below the diagonal. Jev is overconfident about how likely success is.

The twist

I also asked two "obvious" proxy questions. Both scored worse than a coin flip.

0.686
direct front-page probability
0.383
“does this solve a real problem?”
0.422
“does the title say what it does?”

The intuitive proxies point backwards. Only the direct probability estimate carries real signal.

The biggest miss

A post titled "Elevators". Jev gave it 22%. It got 1,680 points.

What I take from it

Ranking and calibration are different skills, and you can have one without the other. A model that orders things correctly is useful for sorting a queue. A model you plan to trust on "I'm 90% sure" needs its confidence checked against real outcomes before anything acts on it.

The full data and code are in the thread.

Read the full thread on X