I Made a Hacker News Browser for Pebble Smartwatches

Hacker News

https://github.com/chisleu/HackerNewsForPebble I made a Hacker News browser for Pebble smart watches. It merely lets you browse the headlines. I made it because I searched for "HackerNews" and didn't see the "Hacker News" apps already in the store. I just wanted to make something that used an API to get some experience on the platform. The other Hacker News apps are probably better, but since I made it to publish here, I thought I would post the source and publish the app anyway. There is a release if you want to download the compiled pbw, and it is available in the app store as "Hacker News Headline Browser". This is my first time. Please be gentle.

Visit product View on Hacker NewsOct 28, 2015

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps, new · Missing: mac, agents, macos

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

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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