Wi
Actual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto77%77% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released63%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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% 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, podcasting33%33% 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, revenue16%16% 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 News1Te
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 News138Te
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 News4Te
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 News165Sh
Shiki – Access Wikipedia in your terminal64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shiki – Access Wikipedia in your terminal
Hacker News6LL
LLM-Generated Wikipedia45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LLM-Generated Wikipedia
Hacker News6LL
LLMO – An LLM pair programmer in your terminal63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LLMO – An LLM pair programmer in your terminal
Hacker News11Ho
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 News1Cr
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 News4wi
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