I built a publishing app for developers ('Plaid' for content)

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Hey Beautiful folks, it's Warren. I built a publishing app to create and manage content. My goal is to build a simple SDK compatible with JavaScript frameworks. The challenging and satisfying part was building and publishing the SDK to npm. Initially, the SDK files were not included in the file after running npm publish. To resolve this,, I created a separate folder and built and published the files from a different folder. I'm building this for myself and other developers. The goal is to have an intuitive user interface to create and publish content. This is the first time I've used Typescript to build a project of this scale. Previously, I written data pipelines and mobile apps primarily in Python and Java respectively. Happy to listen to feedback. This is version one.

Visit product View on Hacker NewsOct 16, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user · Missing: mac, agents, macos

94%94% 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 · Strong signals: created, para, compatible · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released

58%58% 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: mobile apps, apps, para · Missing: ios, personal, entrepreneurs

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, interface · Missing: plus, platform, reviews

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

18%18% 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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