Relative – Your gateway to unbiased news

Hacker News

Hi HN! A couple of friends and I recently built our first app together - Relative News, a news reader designed to help you stay informed without feeling overwhelmed or misled. We were frustrated with how chaotic and exhausting most news apps can be. Instead of bombarding you with endless headlines, Relative groups related articles from multiple sources into "Stories." This way, you can easily follow a topic and see how different outlets are reporting on it. By presenting multiple perspectives side by side, we aim to reduce bias and help users form a more balanced understanding of the news. Key features include: - A clean, uncluttered feed that focuses on clarity. - The ability to follow specific stories and receive notifications when there are updates. - A straightforward interface that lets you compare coverage across various publications. We're a small team passionate about improving how people consume news. This is our first app, and we know there's still a lot of room for improvement. We'd genuinely appreciate any feedback or suggestions you might have.

Visit product View on Hacker NewsApr 21, 2025

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1points

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% 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.

Correct prediction on native model

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