Just Contribute

Just Contribute

Indie Hackers

Tool that let you find GH issues meant for newcomers

I created that app to easily browse through the cool open source projects and contribute to them 🚀

Share card

Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
47%47% 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
22%22% 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
12%12% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

A
A tool after debugging too many RabbitMQ DLQ issues59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tool after debugging too many RabbitMQ DLQ issues

Hacker News2
Cr
Cronk - issues for the commandline47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cronk - issues for the commandline

Hacker News1
We
We have just released our first Debloating tool for Containers69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We have just released our first Debloating tool for Containers

Hacker News5
Not Just You
Not Just You36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-Source for tracking AI tool issues

Indie Hackers1ai
I
I made tool that let's you see everything about any website55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made tool that let's you see everything about any website

Hacker News411
Th
The Octocat Quine – Let's Propagate57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Octocat Quine – Let's Propagate

Hacker News2
Le
Let's Encrypt Without Sudo69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let's Encrypt Without Sudo

Hacker News3
HappyThoughts
HappyThoughts36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let's get #bettertogether #2021

Indie Hackerscommitment-full-time
NUMR BØRS
NUMR BØRS42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Let genkendelig telefonnumre til firmaer.

Indie Hackerscommitment-side-project
FriendZzz
FriendZzz43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Never let a friendship fade again

TrustMRRProductivity