ComputerX

ComputerX

Product Hunt

Your smart agent that handles your computer work

Share card

Actual performance

560upvotes
63comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, computer · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Strong signals: smart · Missing: web3, chat, crypto
70%70% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
19%19% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Staflexx
Staflexx32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Work smart

Product Hunt+1
I
I built a Ruby gem that handles memoization with a ttl42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a Ruby gem that handles memoization with a ttl

Hacker News48
Stamp: The AI Secretary
Stamp: The AI Secretary70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The AI Secretary that handles your work for you

Product Hunt+103Email
debrief
debrief41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The AI inbox that tracks, triages, and handles work

Indie Hackerscommitment-full-time
Di
Disambiguating the first computer47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Disambiguating the first computer

Hacker News1
Co
Computer Algebra System for X (1990)47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Computer Algebra System for X (1990)

Hacker News1
1.
1.5kb Microkernel for Ben Eater's 6502 Computer47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

1.5kb Microkernel for Ben Eater's 6502 Computer

Hacker News230
An
An assembler for the LC-3 fictitious computer47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An assembler for the LC-3 fictitious computer

Hacker News34
SL
SLO Computer47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SLO Computer

Hacker News1
Co
Computer Mysteries47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Computer Mysteries

Hacker News2