Ha

HackerNewsJobs – “Ask HN: Who is hiring?” – organized

Hacker News

HackerNewsJobs – “Ask HN: Who is hiring?” – organized

Share card

Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
88%88% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
53%53% 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
20%20% 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
20%20% 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
7%7% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ha
HackerNewsJobs – “Ask HN: Who is hiring?” – organized53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HackerNewsJobs – “Ask HN: Who is hiring?” – organized

Hacker News12
“A
“Ask HN: Who's Hiring?” Browser58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

“Ask HN: Who's Hiring?” Browser

Hacker News1
Ev
Everything asked – organized recaps of 'ask me anything' interviews56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Everything asked – organized recaps of 'ask me anything' interviews

Hacker News74
As
Ask GPT: Who is hiring?51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask GPT: Who is hiring?

Hacker News3
"A
"Ask HN Who's Hiring" Trends52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

"Ask HN Who's Hiring" Trends

Hacker News19
Or
Organized Wonder49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Organized Wonder

Hacker News92
Timestripe 3.0
Timestripe 3.054%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get everything organized

Product Hunt+384Productivity
Wh
Who is hiring++56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Who is hiring++

Hacker News6
"W
"Who is hiring" mapped56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

"Who is hiring" mapped

Hacker News288
Wh
Where is “Who is hiring?” hiring?56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Where is “Who is hiring?” hiring?

Hacker News493