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A tool to share your private GitHub repositories

Hacker News

A tool to share your private GitHub repositories

I couldn’t find a seamless way to share my private repositories with others, recruiters, etc…,So we built GitShare. A platform where you can share a private repository using just a link, no need to add collaborators one by one. You can also share with people who don't even have a GitHub account! And don't worry about privacy – we access your private repository through the GitHub app. We built it all using Next.js, React, and Django. Oh, and just so you know, it's still in beta version. Here are some ideas we might implement in the future for GitShare! 1. You're building an app and want to keep it private on GitHub. With GitShare, you can generate a link and share it with recruiters when applying for jobs or internships, giving them a peek at your project's source code. Plus, you'll get insights like the number of views and other metrics when you share your repository. 2. You want to showcase specific private or public repositories all in one place, alongside a description, a demo, etc. With GitShare, you can create your own portfolio with a personalized link that showcases all your projects. 3. Looking to make money from your repository, which could attract interest from certain users? Simply add a paywall and control access with either a monthly subscription or a one-time payment! We’d love to hear your feedback, ideas and critical features you’d love to see in the future as we continue to develop the project!

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, using, code · Missing: mac, agents, macos
75%75% 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.
AppSumoStrong fit for a featured deal · Strong signals: plus, platform, users · Missing: intuitive, reviews, host
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month, monthly · Missing: mobile apps, ios, entrepreneurs
24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: make money · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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