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Phishcan, Canada's first open and free threat intelligence platform

Hacker News

Phishcan, Canada's first open and free threat intelligence platform

Phishcan provides crucial threat intelligence, and it currently tracks phishing domains for: • Scotiabank, Desjardins, RBC, Interac… • Telecom providers, provincial power and health services... • Federal & provincial services, CRA, Canada Post, Service Canada, Revenue Québec... How Phishcan works: • Parsing millions of domains: Continuously scanning and analyzing vast numbers of domains to detect suspicious patterns and potential phishing sites. • Monitoring threat actors : close watch on cyber‑criminal infrastructures and their new domain registrations. • Data enrichment : adding contextual insights and connections to improve the information • Feeds are updated every 12 hours. • You can use the API freely at: https://phishcan.com/api-docs Data is also available on: https://github.com/Phishcan/phishcan-data I plan to improve the whole platform with more data during my free time!

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Actual performance

19points
11comments
Made the leaderboard

Launch Intel predictions

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Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
50%50% 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, personal
49%49% 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, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, context, open · Missing: mac, agents, macos
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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