Advanced News Searching API

Hacker News

Hello HN, We would like to present to you an advanced News API, that allows you to easily retrieve and process news articles from thousands of sources in different languages all over the world. Since our last submission, we have rewritten the project from scratch with a focus on cleansing and structuring the news data. Some of the advanced features of the new API: - clustering news articles into groups of related news - allows to detect news stories and assess how important / popular they are - detecting reprints and wired articles - allows to easily filter noise and get unique articles only - a comprehensive set of 3000+ topics, 10+ categories, and labels, including Opinion, Paid-news, Non-news, Business, Tech, Politics, and much more - advanced enriched data, including finance-tailored sentiment analysis, entities, keywords, auto-generated summary - local news - allows retrieving news from local news publishers based on a specific location (e.g. show all local news from Chicago or London) - journalist data - allows to identify author bylines, extract and link authors to their records - more accurate extraction of title, description, and content attributes - content translation into English from 10+ languages - broad source coverage and ability to easily add custom sources With the above features, the API has a much broader set of use cases, from analyzing sentiment of financial articles around stocks to PR media monitoring, to identifying risk events and doing deep analysis and market research, including on historical news. There are also a lot of use cases, that we don't know yet about :) For HN users we provide an always-free plan with 3000 requests per month and no restrictions on features. We wanted to thank the HN community for support on our last submission, I believe without HN's support this project would not have happened, thank you! You can check out live example queries and give an API a test ride here https://www.goperigon.com/sign-up . We will appreciate any feedback, comments, or questions you might have regarding the API. Let us know in the comments!

Visit product View on Hacker NewsFeb 9, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

88%88% 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: user, new · Missing: mac, agents, macos

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

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, 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.

TrustMRRLess likely to generate early MRR · Strong signals: month, users, way · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% 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

9%9% 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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