My

My implemented vision of a PIM

Hacker News

My implemented vision of a PIM

Hi one and all. I've created an encrypted personal organizer I wish to share with you all. I know.... you are sighing and thinking "Oh! No! not another one". doogiePIM is different in that it's built by the same coder that created one of the very first PIMs that came out around 18+ years ago and creator of TexNotes way back then (it was actually called Scribillo. Wow, I feel old). The original PIM was sold then abandoned by GemX Software and that made me feel really bad. So, I obtained the full code and started to build a far better version of the information manager. One that will (hopefully) stand the test of time. The work is still ongoing, taking out the bugs, improving features and making it available to everyone around the world with localisation of the UI. (Warning: I'm going to invoke Obi Wan Kenobi logic here....) Therefore, it's not another PIM - it's one of the oldest on the Internet... from a certain point of view :P After a couple of years of work, I think it's almost there. I've rewritten a huge chunk of code, implemented a more modern UI and reworked a lot of the database encryption. I can now start implementing some needed new features and quality-of-life implementations that help rather than hinder. Features such as Android connectivity and better importing of Cloud data. I'm pretty sure you guys will give me a guide as to what you need in a solid PIM. I want to invite you all to take a look at my vision of a single focus PIM. Go ahead and try doogiePIM, tear it apart. I'd love to read anything you have to say about it. You can read my latest dev blog here: https://bitespire.com/community/274-around-the-world-in-80-d... Download here: https://bitespire.com/download.php Of course, read about the features and usual blurb here: https://bitespire.com/details_doogiepim.php Kindest regard to all, Chris

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
96%96% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, single, notes · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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