I built a site to find the best newsletters

Hacker News

Hey HN, sharing something I've been working on. I love reading new voices. I subscribe to a lot of brilliant newsletters but found it hard to keep track of all the great stuff I was reading. I'd read something, love it, never be able to find it again. And then, how do you find new ones worth trying? And which posts do you start with? With Inbox World, you can submit and upvote the best of Substack and other similar platforms. The goal is to build a community around the best independent writing out there. It's like HN for newsletters! This is a passion project for me and I'm not technical at all. This is its earliest v1 form, open to everyone; no logins or data collected, no ads, no premium tiers, everything on one page. And I just added an automated email that sends you the most upvoted links weekly — a newsletter for newsletters. Would love to hear what you think in the comments below. Thanks for reading. PS: If you want to chat about this idea or are interested in working together, I’d love to talk. Ping me here or send me an email at kabir.chibber@gmail.com

Visit product View on Hacker NewsFeb 4, 2022

Share card

Actual performance

12points

5comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

91%91% 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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% 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

44%44% 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

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Stacksearch48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the best newsletters

Indie Hackers1mailing-lists

I built a lame site, now what?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a lame site, now what?

Hacker News1

Maktoub – Newsletters in Rails45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Maktoub – Newsletters in Rails

Hacker News2

Goodreads for Newsletters49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Goodreads for Newsletters

Hacker News18

Jekyll for MailChimp newsletters47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jekyll for MailChimp newsletters

Hacker News2

Postbear.io30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Add Newsletters to your Hugo or Gatsby site!

Indie Hackers1b2c

NewsletterHive44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the best newsletters for any topic.

TrustMRRSoftware

We built a site to help you find the best neighborhoods to stay at46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We built a site to help you find the best neighborhoods to stay at

Hacker News13

Simple apprenticeship vacancy site built with NextJS34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple apprenticeship vacancy site built with NextJS

Hacker News1

I built a site that ranks coding bootcamps59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a site that ranks coding bootcamps

Hacker News2

Browse all products Analyze your launch