Ha

Hacker Who’s? – Replace HN usernames with question marks

Hacker News

Hacker Who’s? – Replace HN usernames with question marks

Hey HN! Anonymity can really shape how people interact with each other, and HN is no exception. After reading PG’s mention of changing some users colors to orange, and the decision to revert back ( http://www.paulgraham.com/hackernews.html ) , we thought it’d be great to take that to the next level. “Hacker Who’s?” replaces HN usernames with question marks. This is one of a collection of HN mods that we’ve been working on, and I’ve found this one to have a decent amount of lasting value.

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
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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% 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 HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ch
Chaos – Pastejacking Tool to Replace Semicolon with Greek Question Mark25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chaos – Pastejacking Tool to Replace Semicolon with Greek Question Mark

Hacker News2
Ha
Hacker's Doorbell51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker's Doorbell

Hacker News2
Ha
Hacker's Doorbell51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker's Doorbell

Hacker News37
Yo
You're Also a Hacker- Find Out Why51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

You're Also a Hacker- Find Out Why

Hacker News2
Ha
Hacker Slacker51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker Slacker

Hacker News3
Ha
Hacker Feud51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker Feud

Hacker News32
Gu
Guile Hacker Handbook (WIP)24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Guile Hacker Handbook (WIP)

Hacker News2
Th
The Hacker Zephyr51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Hacker Zephyr

Hacker News1
Sl
Slogan of a CS Hacker54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slogan of a CS Hacker

Hacker News1
Ho
How I became a hacker71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How I became a hacker

Hacker News2