Unofficial Medium API – Simplifying Data Retrieval from Medium

Hacker News

Hey everyone! I recently launched an API that helps people to fetch data from Medium's Website. Whether you're building an application, conducting research, or analyzing trends, this API makes accessing Medium's vast collection of articles and publications a breeze. Medium has become a popular platform for writers, bloggers, and content creators to share their thoughts, ideas, and knowledge with the world. However, Medium doesn't provide an official API for accessing their data programmatically, which has been a challenge for many developers. That's where the Unofficial Medium API comes in. So, if you've been searching for a way to unlock the potential of Medium's vast repository of articles, give the Unofficial Medium API a try. I would your feedback on this! Website: https://mediumapi.com Documentation: https://mediumapi.com/documentation.html Happy coding! Nishu

Visit product View on Hacker NewsJul 15, 2023

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3points

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

67%67% 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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, 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

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% 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

12%12% 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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