Ne

NetIn – Shorten job interviews by answering the questions only once

Hacker News

NetIn – Shorten job interviews by answering the questions only once

Share card

Actual performance

39points
31comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% 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
40%40% 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
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Wrendit
Wrendit56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn job postings into interviews

Indie Hackers1jobs-hiring
Fi
Find the perfect job after answering three questions60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the perfect job after answering three questions

Hacker News2
Sh
SharpSkill – I was bored to fail my interviews for no reasons58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SharpSkill – I was bored to fail my interviews for no reasons

Hacker News3
Al
Algorithms for Interviews57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Algorithms for Interviews

Hacker News3
Sa
SaaS for Better Job Interviews61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SaaS for Better Job Interviews

Hacker News4
A
A website to practice for job interviews39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A website to practice for job interviews

Hacker News2
Ha
Hack interviews by studying questions recently asked by companies55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hack interviews by studying questions recently asked by companies

Hacker News9
Ge
Get feedback from job interviews and improve58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get feedback from job interviews and improve

Hacker News1
Te
TechInterview.Club Hack Interviews by Studying Recently Asked Questions54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TechInterview.Club Hack Interviews by Studying Recently Asked Questions

Hacker News18
Te
TechInterview.Club Hack Interviews by Studying Recently Asked Questions54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TechInterview.Club Hack Interviews by Studying Recently Asked Questions

Hacker News12