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Subscriber-Only – Paid Subscriptions for Jekyll

Hacker News

Subscriber-Only – Paid Subscriptions for Jekyll

I want to show you something I've been working on for the past couple of months. You can check it out at https://subscriber-only.com If you want to post paid written content on the web, you'll invariably reach out to Substack, Ghost or good old WordPress. If you're a fan of static site generators -- like I am -- you'll know that, by doing so, you'll lose the customizability and simplicity you get when using a tool like Jekyll. Subscriber-Only is -- in my 100% impartial opinion -- a good alternative to using the mentioned platforms. You get to keep using Jekyll and, with a gem and a couple of lines of YAML, you'll enable subscriptions, subscriptions management, payment processing, access controls and all other needed machinery needed to have memberships on your site. I'm pretty happy with the way it turned out. Do check it out and let me know what you think!

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Actual performance

23points
9comments
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, using · Missing: agents, macos, agent
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: month, way · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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: paid · 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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