The best of Carl Sagan and other science communicators in your inbox

Hacker News

Hi everybody, I'm a big fan of extraordinary science communicators, such as Carl Sagan, Stephen Fry or Richard Dawkins. There are many videos of them explaining intriguing ideas delightfully and spark curiosity. The simple idea of this newsletter is that I pick one video and send it to my subscribers about twice a month. If you're intereted in this kind of stuff, sign up here: https://cassandradispatch.org - it's free! Sidenote: I take privacy seriously. I run Ghost on a Hetzner instance in Germany and use Plausible for basic tracking of visits. Unfortunately I'm forced to use Mailgun to send out the newsletter (Ghost doesn't work with a different provider), but of course I don't track clicks or opens. I'm also using the EU instance of Mailgun. When embedding YouTube videos, I use the privacy mode so that YouTube doesn't set any cookies.

Visit product View on Hacker NewsNov 18, 2022

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

79%79% 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.

TrustMRRFits verified-revenue profile · Strong signals: ios, video, month · Missing: mobile apps, personal, entrepreneurs

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% 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

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.

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

18%18% 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

Similar products

Science Fighter45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Science Fighter

Hacker News2

Science Slider45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Science Slider

Hacker News1

Science Artifact Antiformat58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Science Artifact Antiformat

Hacker News1

The Science of Flatness45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Science of Flatness

Hacker News2

Get the best inspirational content to your inbox41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get the best inspirational content to your inbox

Hacker News6

InMoat – a moat for your inbox43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

InMoat – a moat for your inbox

Hacker News1

Jeffrey Epstein's Inbox49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jeffrey Epstein's Inbox

Hacker News14

Composed – A tollbooth for your inbox43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Composed – A tollbooth for your inbox

Hacker News5

Mailman53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your inbox, tamed.

Indie Hackers3productivity

Rythm33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A bouncer for your inbox

Indie Hackerscommitment-full-time

Browse all products Analyze your launch