Fe

Feynmanexplains.org – Get Wikipedia in the Style of Richard Feynman

Hacker News

Feynmanexplains.org – Get Wikipedia in the Style of Richard Feynman

Share card

Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
57%57% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
56%56% 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
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: plain · Missing: mac, agents, macos
35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
29%29% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

My
Mytake.org - Wikipedia for Primary Sources55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mytake.org - Wikipedia for Primary Sources

Hacker News1
Wi
Wikipedia Mirror, Wikiless.org54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wikipedia Mirror, Wikiless.org

Hacker News2
Wi
WikiScroll (TikTok-Style Wikipedia)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WikiScroll (TikTok-Style Wikipedia)

Hacker News7
A
A redesigned Wikipedia47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A redesigned Wikipedia

Hacker News13
Si
Six Degrees of Wikipedia59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Six Degrees of Wikipedia

Hacker News1,176
Ho
How to get around the Wikipedia blackout (if you have to)41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How to get around the Wikipedia blackout (if you have to)

Hacker News1
Cr
Crowdsourced incremental Wikipedia improvements59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdsourced incremental Wikipedia improvements

Hacker News4
wi
wikiUp - Wikipedia in Tooltips59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

wikiUp - Wikipedia in Tooltips

Hacker News26
Le
Legible Wikipedia59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Legible Wikipedia

Hacker News2
Wi
WikiBattle – 1v1 races through Wikipedia59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WikiBattle – 1v1 races through Wikipedia

Hacker News1