Si
Sitelist – Find leads, contacts and list websites by their technologies
Hacker NewsSitelist – Find leads, contacts and list websites by their technologies
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto68%68% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released39%39% 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, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ha
Hacking a list of Kita contacts65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacking a list of Kita contacts
Hacker News4Se
Secondary Contacts- A contacts list that can't be read by other apps60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Secondary Contacts- A contacts list that can't be read by other apps
Hacker News3Se
Secondary Contacts- A contacts list that can't be read by other apps60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Secondary Contacts- A contacts list that can't be read by other apps
Hacker News2Wh
What Technologies Are Associated with Highest Salaries US? 2015-201846%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What Technologies Are Associated with Highest Salaries US? 2015-2018
Hacker News1WishMinds Technologies34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WishMinds Technologies Pvt Ltd
Indie HackersBu
Bugbear Technologies Pvt Ltd32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRMobile AppRevDriver Powered by SalesIntel63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search for Contacts on LinkedIn and Websites
Indie Hackerscommitment-full-timeMe
Message someone on WhatsApp without having them on your contacts list52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Message someone on WhatsApp without having them on your contacts list
Hacker News4Co
Collar reconnects you with old friends in your contacts list53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Collar reconnects you with old friends in your contacts list
Hacker News1Al
All contacts in your app46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All contacts in your app
Hacker News1