OormiPass – free, cross platform and open sourced password manager

Hacker News

On Github: https://github.com/oormicreations/OormiPass Features: * Stores passwords securely using AES encryption. * Requires only one master password to access all passwords. * Stores other useful info like usernames, urls, notes etc. * Items are categorized neatly into groups, which can be accessed easily by simply clicking their names in the list. * Users can customize the groups and all items in the group. * Open URLs directly from Oormi Pass and paste your username and password. Save precious time. * Functions to auto log out and change master password. * Hide or show passwords. * Built in password generator. * Minimal UI. * Runs on MS Windows 7 to 10, Linux and Mac OS. * Code::Blocks 17.12, MinGW, C++11, wxWidgets 3.1.2 * Dependencies: wxWidgets 3.1.2, wxSmith, Crypto++ 5.6.3 Binary for Windows (exe) is available.

Visit product View on Hacker NewsJan 26, 2019

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Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, widgets · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, user, using · Missing: agents, macos, agent

36%36% 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, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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