Twitter Like News App

Hacker News

Hi everyone, My name is Stuart and I've been solo developing a news app (and now newsletter) for the past half a year or so. tl;dr (current status): an app with a Twitter like feed of news events. The posts are 1-2 sentences, only actual events (no opinion, analysis, roundup, evergreen, etc), categorized into feeds, and tagged (lets you dig wikis or find events for a given entity). There is also a newsletter I just launched that is a bit cleaner in terms of UI, but with less features. longer: My goal is to make it easier to stay informed and access information (not such a hot take that news and media suffers from a UX issue). What that will look like in the long term, I can't possibly know. Although I have many theories, all I can do is iterate and keep an open mind. My first attempt at cracking this is to shorten the unit of information from an article to an event, thus saving the reader valuable time and mental energy. If you want to read more about how I do this check out https://www.airvue.blog/p/approach I'd love to hear your feedback on the idea and/or app (forgive the janky UI). Thanks, Stuart p.s. if this sounds like something you'd like to work on, don't hesitate to reach out. I have an engineering background but would love someone else to hack with newsletter link if interested: https://www.airvue.app/subscribe

Visit product View on Hacker NewsNov 10, 2022

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

77%77% 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

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

35%35% 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 · Missing: mobile apps, ios, personal

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

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

26%26% 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

13%13% 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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