InstaApply

InstaApply

Indie Hackers

auto-apply / auto-fill job apps in one click!

InstaApply makes applying to jobs super easy. Usually, it takes applying to dozens of jobs to land something and requires filling in the same data over and over again. Which is pretty annoying. That's where we come in.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, 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
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps · Missing: mac, agents, macos
24%24% 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
24%24% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Jobbie
Jobbie12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Apply to any job ine one click.

Product Hunt+2
Ty
Typopo – auto-correct frequent typos37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Typopo – auto-correct frequent typos

Hacker News2
Fl
FlynnAutoScale – A Rails Gem for Flynn Auto Scaling37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FlynnAutoScale – A Rails Gem for Flynn Auto Scaling

Hacker News3
Tz
Tzimtsum, an auto theorem prover for addition (Presburger arithmetic)31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tzimtsum, an auto theorem prover for addition (Presburger arithmetic)

Hacker News2
Em
Emacs Anywhere – Auto-Magically Inject Emacs Anywhere42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Emacs Anywhere – Auto-Magically Inject Emacs Anywhere

Hacker News3
Au
Auto wrap C and C++ functions with instrumentation40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Auto wrap C and C++ functions with instrumentation

Hacker News2
Au
AutoRemoveObserver – Auto-removing NSNotifications40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AutoRemoveObserver – Auto-removing NSNotifications

Hacker News2
Ba
Bamboo – HAProxy Auto Configuration for Apache Mesos and Marathon38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bamboo – HAProxy Auto Configuration for Apache Mesos and Marathon

Hacker News6
Mo
MongoDB on CoreOS – auto configured replicaset52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MongoDB on CoreOS – auto configured replicaset

Hacker News5
Quicklisting
Quicklisting57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Auto-submit to directories

Indie Hackers1advertising