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Invisid – Sign Emails with your typing pattern

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Invisid – Sign Emails with your typing pattern

Hey HN! Today, we are launching INVISID Email Verification! We fight email fraud with the motto: The way you type is (the) key to your security. INVISID uses AI to analyze your typing pattern while writing emails, validating your identity as the sender. This way, you're protected from both ends: as the sender and the recipient of emails. Say goodbye to people (successfully) pretending to be you or being duped by cleverly composed email fraud like Business Email Compromise. LLMs make it ever easier to trick people with genuine looking emails that pretend to be from your customer, boss or assistant. We make sure you don't get duped. We actually launched on Product Hunt today! Any feedback or upvote is greatly appreciated! https://www.producthunt.com/posts/invisid-email-verification

Visit productView on Hacker NewsJun 20, 2024
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Product HuntOn track for Day 1 leaderboard · Strong signals: email · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, 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, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
39%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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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