Rando, a Simple Tool to Help Fight Your Filter Bubble

Hacker News

I've been getting very concerned by the "Filter Bubble" effect in the recent past, so I created a quick tool to fight it - for Twitter users, at least. "Rando Cardrissian" is a Twitter bot which selects headlines from a range of sources across the political spectrum, from Tea Party to Green. I'm intending to extend him to sample other controversial topics in the future too. Then, every 15 minutes he Tweets one of those headlines without attributing its source. A URL is included, but it's obfuscated. The intention is to create a "white noise" on your Twitter feed that is more representative of the entire discourse in the world than your local filter bubble. He comes in two flavors: @rand_o_card is the US version. @rand_o_card_uk is the UK version. I wrote a bit more about why I'm doing this and why I think it's a problem over on my blog - there's a link to that and to the two Twitter accounts above in a comment below. Have a look and let me know what you think!

Visit product View on Hacker NewsMay 21, 2015

Share card

Actual performance

7points

1comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

38%38% 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 HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

13%13% 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

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

Incorrect prediction on native model

Similar products

Unfake – we help footwear brands fight counterfeits effectively47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unfake – we help footwear brands fight counterfeits effectively

Hacker News1

How a simple game could be so addictive – Bubble trouble23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How a simple game could be so addictive – Bubble trouble

Hacker News1

Smash the Bubble21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Smash the Bubble

Hacker News1

You can blow a tubular bubble that 'should' be impossible27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

You can blow a tubular bubble that 'should' be impossible

Hacker News3

Bubble Wrap21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bubble Wrap

Hacker News1

A simple tool to help filter recruiter spam49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A simple tool to help filter recruiter spam

Hacker News30

Help fight COVID with Prolog programs!38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Help fight COVID with Prolog programs!

Hacker News2

Impart News28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Escape your filter bubble

Indie Hackers1ai

A Chrome extension to burst your filter bubble27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Chrome extension to burst your filter bubble

Hacker News26

Canon of Man. Pop your filter bubble with a swipe!34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Canon of Man. Pop your filter bubble with a swipe!

Hacker News3

Browse all products Analyze your launch