My
Mytake.org - Wikipedia for Primary Sources
Hacker NewsMytake.org - Wikipedia for Primary Sources
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto76%76% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released55%55% 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 · Missing: mac, agents, macos47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive30%30% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Fe
Feynmanexplains.org – Get Wikipedia in the Style of Richard Feynman56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Feynmanexplains.org – Get Wikipedia in the Style of Richard Feynman
Hacker News3Wi
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 News2A
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 News13Si
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 News1,176A
A Wikipedia for Annotations65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Wikipedia for Annotations
Hacker News1Ho
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 News26Le
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 News2Wi
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