Sh

Shiki – Access Wikipedia in your terminal

Hacker News

Shiki – Access Wikipedia in your terminal

Share card

Actual performance

6points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
81%81% predicted probability of success on BetaList, 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 · Missing: https docs, excited, just released
64%64% 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 · Missing: mac, agents, macos
60%60% 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
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Wi
Wikipedia from your terminal66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wikipedia from your terminal

Hacker News1
Te
Terminal Based Wikipedia52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Terminal Based Wikipedia

Hacker News138
Te
Terminal Based Wikipedia52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Terminal Based Wikipedia

Hacker News4
Te
Terminal Based Wikipedia52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Terminal Based Wikipedia

Hacker News165
Wi
Wikipedia in Terminal, with LLM63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wikipedia in Terminal, with LLM

Hacker News3
I
I built a Golang module to access and parse data from Wikipedia37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a Golang module to access and parse data from Wikipedia

Hacker News2
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