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Remi, the easiest way to remember every day (A journaling tool I made)

Hacker News

Remi, the easiest way to remember every day (A journaling tool I made)

Hello HN! My name is Brice. Remi Journal is a project I've been working on with my sister to make it easier to remember thoughts, memories, and little moments from every day. It also helps you stay on top of habits, track personal stats, and stores images to go with your journal pages. I made Remi since I've always wanted to look back on old memories, but I'm too lazy to sit down and write a journal for a half hour each night. I tried recording voice notes, but they were too disorganized and hard to search. It's still in very early beta, but I was hoping I could get some feedback and check that I'm headed in a good direction. To use Remi, you can fill out the form on the site (it needs to know your phone number to work, but no credit card info necessary). Afterwards, you can add Remi as a contact on WhatsApp. You can then send Remi voice memos at various times of day to journal - feel free to ramble, since Remi will handle the organization for you. Remi will ask questions to guide you through different reflections and gather stats to get a full picture of your day so that it can create a journal entry. You can also send up to four photos to store with the daily entry. Each night at 4am, Remi will generate a journal page for you based on what you said in the conversation. You can view your page through your dashboard and make any edits or revisions you'd like. It will try to highlight any potentially misheard words or phrases to make revising easier. By the way, all of your data on the database side is encrypted and not human readable. I have been working hard to make it as secure as possible since I have lots of my own private thoughts and memories in there. I think that's about it. If any of you are interested in this sort of thing, I'd really appreciate it if you could try it out and let me know your thoughts! Thanks so much in advance!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% 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: notes · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
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
35%35% 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
31%31% 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
17%17% 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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