Nweets – Keep up with tech news in twenty tweets

Hacker News

Nweets is a new way to keep up with technology news. We curate tweets, rank them by trending factor, and sort them by company, topic and publication. https://nweets.co/companies https://nweets.co/topics https://nweets.co/publications And you can also follow specific companies, topics or publications, for example: https://nweets.co/companies/apple https://nweets.co/companies/tesla https://nweets.co/topics/drones https://nweets.co/topics/transportation https://nweets.co/publications/recode https://nweets.co/publications/techcrunch Nweets is currently in closed beta. To enter please use the following code: 4fshh6kj We would love to hear your feedback! Thanks.

Visit product View on Hacker NewsAug 24, 2016

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

40%40% 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 HuntUnlikely to reach the leaderboard · Strong signals: apple, new, code · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

34%34% 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

28%28% 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

17%17% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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