Shoutout App

Shoutout App

Indie Hackers

Peer Recogntion captured in Pull Requests for Developers

Its hard to give and then track peer recognition for developers especially when everyone is remote. Also, as a developer I would like to record my own noteworthy pull requests for my own performance tracking

Share card

Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
55%55% 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: io · Missing: https docs, excited, just released
54%54% 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
51%51% 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
38%38% 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
27%27% 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
16%16% 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

So
Softagram – Developers, making your pull requests more reviewable59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Softagram – Developers, making your pull requests more reviewable

Hacker News10
On
On empathy and pull requests52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

On empathy and pull requests

Hacker News1
Gi
GitHub App that prevents merging of pull requests with configuration56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub App that prevents merging of pull requests with configuration

Hacker News9
Ko
Kodiak – a GitHub app to automerge pull requests53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kodiak – a GitHub app to automerge pull requests

Hacker News3
Ba
Backprop – Smarter Pull Requests38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backprop – Smarter Pull Requests

Hacker News11
Terrateam
Terrateam12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Terrateam is Terraform GitOps with GitHub Pull Requests.

Indie Hackers
Fo
Fourchette – isolated testing environments on Heroku for pull requests50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fourchette – isolated testing environments on Heroku for pull requests

Hacker News4
Pullwalla
Pullwalla29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stay on top of pull requests with Pullwalla.

Indie Hackers1$4/moopen-source
Co
CodeMill – a marketplace for pull requests48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CodeMill – a marketplace for pull requests

Hacker News169
Iz
Izuna, show type annotations on pull requests58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Izuna, show type annotations on pull requests

Hacker News3