pd
pdscan – Scan Your Data Stores for Unencrypted Personal Data
Hacker Newspdscan – Scan Your Data Stores for Unencrypted Personal Data
Share cardActual performance
4points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto78%78% 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 · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs66%66% predicted probability of success on TrustMRR, 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% 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, 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, 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
Opt out47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get any organisation to erase your personal data.
Indie Hackers3legal
Soka37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scan, store and analyse biomarkers data
TrustMRRHealth & FitnessDi
Digi.me SDKs to ethically source personal data from individuals59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digi.me SDKs to ethically source personal data from individuals
Hacker News3Le
Leaking personal data in your browser60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Leaking personal data in your browser
Hacker News9We
We added an Oink data importer for Cheers37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We added an Oink data importer for Cheers
Hacker News9Te
Techcrunch data 2005-201250%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Techcrunch data 2005-2012
Hacker News2Ma
Mambocollector – Statsd Data collector for MySQL44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mambocollector – Statsd Data collector for MySQL
Hacker News2Mu
Munge your data with TXR50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Munge your data with TXR
Hacker News2Ag
AgriCatch – Data aggregation on Django43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AgriCatch – Data aggregation on Django
Hacker News4In
Incorporating Religion Denominational Data into a US Births/Deaths Viz50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Incorporating Religion Denominational Data into a US Births/Deaths Viz
Hacker News2