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Gitsell.dev – Gumroad for GitHub

Hacker News

Gitsell.dev – Gumroad for GitHub

Gitsell allows you to sell read-only access to your repos. Buyers are automatically added as viewers to your repo, and they continue to receive updates with a simple `git pull`. I only take a 3% fee on top of Stripe's fees. And for that, I guarantee gitsell will stay up for life, and I will continue to develop it with useful features to help you sell your starter kit, design files, book, or whatever else you can put in a git repo. Some features I have planned are ratings, comments, questions, sale insights, referral codes, search, and so on. I am releasing now without those from YC's advice that you don't want to launch too late. Also want to mention this is an iteration on a previous idea of a site for just starter repos. I made some more expensive hosting decisions then and couldn't maintain it, so I rebuilt it from the ground up on a stack that enables me to host it for a very reasonable cost that I can sustain. The major shift that cut my costs was moving from Postgres to SQLite. Hope this helps other indie-makers not have to set up their own selling infrastructure like I often see. Happy to answer any questions. Check it out at https://gitsell.dev

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: stripe, 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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