Wh

Which LLMs have the best sense of humor?

Hacker News

Which LLMs have the best sense of humor?

What if LLMs were good banter? Well we tested which LLMs have the best sense of humor. More specifically, we tested 16 top LLMs align most with human sense of humor. We ran >100k judgements and got >1.6k human ratings to see where do we agree across clean and dark jokes. The main findings: - Gemini 3.7 Flash has the best taste at 64% although it's really close at the top - However, we've trained our own judge that reaches 74% - Humans agree up to ~80%, the other part is subjectivity Other notes: - All frontier models have worse taste on dark jokes except Grok (unsurprisingly haha) - Model intelligence correlates decently (+0.42) with judgement of humor. As many say, humor is a sign of intelligence! Check our website to see what humor research is coming next! Full report here: https://laugh.so/research/judge-leaderboard .

Visit product View on Hacker NewsAug 26, 2026

Actual performance

3points

4comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, grok · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Sensimark ⋅ get a sense of it32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sensimark ⋅ get a sense of it

Rails' Sixth Sense – Unravelling the mystery of the autoloaders46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rails' Sixth Sense – Unravelling the mystery of the autoloaders

GPTCache – Redis for LLMs69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GPTCache – Redis for LLMs

prompttest – pytest for LLMs34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

prompttest – pytest for LLMs

Second Sense54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Expedia for secondhand

Product Hunt+141Fashion

Make sense of your call data45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make sense of your call data

Sentimentor45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make sense of customer communications

Indie Hackers2ai

Saga43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make sense of your knowledge

Indie Hackers2b2b

Test your sense of street fashion22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Test your sense of street fashion

Duo, interest-based chat with a sense of place40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Duo, interest-based chat with a sense of place

Browse all products Analyze your launch