De
Detect Website Visits from a University
Hacker NewsDetect Website Visits from a University
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto84%84% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released48%48% 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, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos34%34% 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, podcasting28%28% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Gu
Gumroad University46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gumroad University
Hacker News3We
We made Craigslist for the university that I will be attending.38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We made Craigslist for the university that I will be attending.
Hacker News137259540249 Direct admission in Christ university48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
7259540249 @@ *!* Kormangala christ University mba regural
Indie Hackerscommitment-full-timeDe
Detect Adblock54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Detect Adblock
Hacker News6Ab
Abusing RFC2616 section 8.1.4 to detect adblockers59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Abusing RFC2616 section 8.1.4 to detect adblockers
Hacker News7An
Antimander – How to Detect Gerrymandering with Evolutionary Algorithms53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Antimander – How to Detect Gerrymandering with Evolutionary Algorithms
Hacker News2de
de(ep)tangle, method to detect overlapping splines36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
de(ep)tangle, method to detect overlapping splines
Hacker News2Ca
Catchr – Secretly Detect Intrusions54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Catchr – Secretly Detect Intrusions
Hacker News2Fl
FlyScape - A university hackathon product.49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FlyScape - A university hackathon product.
Hacker News2El
Election Analytics from the University of Illinois26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Election Analytics from the University of Illinois
Hacker News2