A

A platform for LLMs to API call humans

Hacker News

A platform for LLMs to API call humans

Share card

Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
82%82% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
79%79% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

De
Designing an API for LLMs, Not Humans45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Designing an API for LLMs, Not Humans

Hacker News3
Be
Beanbox a microVM built for LLMs and humans79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beanbox a microVM built for LLMs and humans

Hacker News1
Integri
Integri42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LLMs in one platform for free

Indie Hackerscommitment-side-project
Ke
Keybone – GPG for humans62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keybone – GPG for humans

Hacker News1
Sp
Sparser is string parsing for humans55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sparser is string parsing for humans

Hacker News3
Ai
Aioserial, pyserial-asyncio for humans62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aioserial, pyserial-asyncio for humans

Hacker News1
Hubql
Hubql30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

API Platform

Indie Hackerscommitment-side-project
GP
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

Hacker News7
pr
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

Hacker News2
Hu
Humans vs. LLMs – See how your website looks to LLMs55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Humans vs. LLMs – See how your website looks to LLMs

Hacker News2