Text Lambda, a versatile notebook for your personal data

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Hi there, I'm looking for some feedback on a product I'm working on: https://textlambda.com Beta version is available for download if you want to give it a whirl. Briefly, it is a notebook app for your personal data. You can use it to store passwords, your diary or any kind of text in general. It's an extension of an opensource cli command I built a long time ago https://github.com/rorokimdim/stash . My primary motivations for Text are still the same: 1. Needs to have user side encryption All encryption related code and file format is opensource and can be validated independently. I hope to opensource the rest of the code in the future. 2. Needs to be versatile to work with user's existing tools and workflow You can access all of its features via command-line tools and scripts. You can use your favorite text editor to edit everything -- I hope to make the integration more seamless in the future with editor specific plugins. -- It has other features like sharing, web publishing and multi-device access, which I think are important but not essential. It is also plain-text only -- which is a trade-off I'm making to keep things simple. Do you think it is a useful product for you personally? Do you have any ideas or suggestions? You can send me an email at amit@textlambda.com if you prefer that instead of commenting here.

Visit product View on Hacker NewsFeb 21, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, code · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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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.

Incorrect prediction on native model

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