How to build engagement in your newsletter [EXAMPLES]

Hacker News

We analyzed 20+ newsletters across various industries gathering examples of ways to build engagement in your newsletter. TLDR: - Polls. - Trivia. - Games. - Memes or other imagery. - Job postings. - Quotations. - Resources. - Community spotlight. - Discussion. - Link section. Featuring examples from: Vox Junto The GIST Milk Road theSkimm The Hustle Tech Brew Tim Ferriss the DONUT Morning Brew The Newsette The New Yorker Who Sponsors Stuff The New York Times Any feedback welcome!

Visit product View on Hacker NewsFeb 20, 2023

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

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

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

nativeThis product was originally launched on this platform.

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

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

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

29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

I'm collecting great newsletter and email examples48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm collecting great newsletter and email examples

Hacker News1

RegexGo, get regex by providing examples44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RegexGo, get regex by providing examples

Hacker News1

ReactDOM - The ReactJS, ReactNative and GraphQL Newsletter49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ReactDOM - The ReactJS, ReactNative and GraphQL Newsletter

Hacker News4

Newsletter Roulette28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Newsletter Roulette

Hacker News2

A Newsletter for Bootstrappers28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Newsletter for Bootstrappers

Hacker News2

I Launched a Newsletter47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Launched a Newsletter

Hacker News2

Newsletter for Solopreneurs28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Newsletter for Solopreneurs

Hacker News1

Daring Fireball Newsletter28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Daring Fireball Newsletter

Hacker News1

Alleyooop is your Dribbble newsletter hookup28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Alleyooop is your Dribbble newsletter hookup

Hacker News1

Vality50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Newsletter

Indie Hackers1ai

Browse all products Analyze your launch