I

I made a tool to hide HN usernames and reduce bias

Hacker News

I made a tool to hide HN usernames and reduce bias

Hey HN, I made this tool after I read a pretty interesting pg essay - http://www.paulgraham.com/hackernews.html He talks about changing some HN usernames' colors to orange and then deciding to revert back So I thought it could be interesting to remove usernames entirely. This Chrome Extension just replaces HN usernames with question marks. I've enjoyed using it so far myself and I'm curious what you think about the concept?

Share card

Actual performance

38points
30comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% 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 HuntOn track for Day 1 leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% 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
32%32% predicted probability of success on Indie Hackers, 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

A
A tool to mitigate against journalism bias52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tool to mitigate against journalism bias

Hacker News1
Pr
Prompts to Reduce LLM Political Bias34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prompts to Reduce LLM Political Bias

Hacker News2
Hi
Hide StackOverflow's annoying sidebars60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hide StackOverflow's annoying sidebars

Hacker News6
Hi
Hide downvotes on HN64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hide downvotes on HN

Hacker News6
Hi
Hide Likes Everywhere63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hide Likes Everywhere

Hacker News151
A
A Simple Tool to Reduce Procrastination62%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 Reduce Procrastination

Hacker News2
A
A better bias estimation for HyperLogLog33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A better bias estimation for HyperLogLog

Hacker News3
As
Associative Memory, Perceptions, and Unconscious Bias36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Associative Memory, Perceptions, and Unconscious Bias

Hacker News2
HackerEarth OnScreen
HackerEarth OnScreen39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An always-on, zero-bias AI hiring tool

Product Hunt+121Hiring
Bo
BossSensor – Hide screen when boss is approaching62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BossSensor – Hide screen when boss is approaching

Hacker News8