Effycient

Effycient

Indie Hackers

Build Smart. Build What Matters.

Effycient exists to help creators avoid wasted time and money by building the right product efficiently—so your app truly delivers value and succeeds.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive
26%26% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Effycient
Effycient65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build What Matters, Faster.

Indie Hackerscommitment-full-time
ForgeConnect
ForgeConnect54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find who you need to build what matters

Product Hunt+3
Me
Meson, a C build system53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meson, a C build system

Hacker News42
Gu
Gulp Bro – Gulp, Browserify and Incremental Build64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gulp Bro – Gulp, Browserify and Incremental Build

Hacker News5
Ho
How to build your own Multilayer Perceptron with Golang40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How to build your own Multilayer Perceptron with Golang

Hacker News7
Mo
Molior – Debian Build System53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Molior – Debian Build System

Hacker News1
In
Include Nim in Poetry Build42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Include Nim in Poetry Build

Hacker News3
Pe
PeggSite - Something We Had To Build53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PeggSite - Something We Had To Build

Hacker News1
Ng
NgTree to build trees with AngularJS57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NgTree to build trees with AngularJS

Hacker News3
Es
Escher – build visualizations of biological pathways59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Escher – build visualizations of biological pathways

Hacker News2