YA

YABin – Yet another pastebin that's simple but feature-rich

Hacker News

YABin – Yet another pastebin that's simple but feature-rich

I've been self-hosting https://privatebin.net for a long time now but there were some annoying issues: no way to turn off encryption, API is complicated, no raw support on the page directly and worst of all: no keyboard shortcuts. I've looked at a bunch of other OSS solutions and all of them (atleast the ones I could find) didn't really have all the features that I needed. So I made this. Optional E2E encryption with optional password protection, keyboard shortcuts (kinda a WIP), simple-ish REST-ish API for making CLIs, direct raw file display & download (with optional server-side decryption if it is encrypted), etc. It was built with SvelteKit so it can be deployed on server-less platforms too. I'd love if you could provide feedback on which features are necessary (should I add support for files?) and which ones are useless. I'm not a cybersec guy so I'm not sure if I'm doing the encryption properly, so if you can please review this file: https://github.com/Yureien/YABin/blob/main/src/lib/crypto.ts . The initialization vector gets stored on the DB to result in a shorter URL and ensure it's unique, is that a good approach?

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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 · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, 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.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
33%33% predicted probability of success on AppSumo, 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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