Hacker Live – real-time Hacker News client built using Phoenix LiveView

Hacker News

Hacker Live is a client for Hacker News that provides live updates to lists and comments. I’ve built this to get into Elixir / Phoenix / LiveView development. The UI follows HN look and feel for the most part, with a few opinionated tweaks and additions: - Sticky comment summaries to help keep track of the discussion context in nested comment threads - Subtitles on list entries and summaries on story pages generated by an LLM to help you decide whether a given article is worth your time - List entries link to the discussion page by default - Surfacing of links in comments to archive.is etc. to bypass paywalls - Surfacing of previous submissions - Dark mode Current limitations: - Read only - Missing profile pages and other features

Visit product View on Hacker NewsDec 19, 2023

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Actual performance

22points

2comments

Made the leaderboard

Launch Intel predictions

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

25%25% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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