Ul

Ulry – Lightweight and fast link archiver app for iOS

Hacker News

Ulry – Lightweight and fast link archiver app for iOS

Hey HN! Ulry is a link archiver that allows you to save and organize your favorite links in one convenient place. It uses SQLite under the hood and it does not require any kind of registration. There are many other features like full-text search, ability to add notes to every link and URL redirections, folder, tags and a lot more. I initially created this project because I couldn't keep up with a lot of HN links that ended up in the front page and that I wanted to read in the future. At the time, I was not able to find a simple link archiver that worked without registration and I hated the fact that almost every link archiver that I tried scraped all the text inside of any URL that I saved just to give me an in-app reading experience that I did not want. Ulry is very fast, simple and lightweight AND it does not require registration. Under the hood, the app is going to make a simple HTTP request to the links that you want to save and it will parse meta tags like `og:title`, `og:description`, `og:image` and save it in the local SQLite database (that you can export and inspect whenever you want), ready to be shown in the app. I've been working on Ulry for more than a year as a side project and to improve my iOS skills, mainly for fun. I decided to open-source the project as I have received a lot of positive feedbacks and feature requests but I do not have the time to work on it anytime soon. I've had quite a positive experience in the past with the OS community, plus, I don't want to stop people from improving the product or customise it further with new features or simply learn from it as I consider this to be an intermediate level app. So that's why I'm here! Disclaimer: At the moment the app misses some crucial features like iCloud sync between devices, but I initially designed the app for myself and my usage and for the moment I am 100% satisfied with it. If you want to take a look at the app, you can navigate to the very basic webpage that I created for it at https://ulry.app , there you will also find the App Store link. I'm eager to find out what you think about the app and hopefully I'll work on it with some of you in the future :)

Share card

Actual performance

12points
5comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created, ios · Missing: supports, reddit linkedin, podcasting
90%90% 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, notes, open · Missing: mac, agents, macos
87%87% 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
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, soon · Missing: platform, 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
18%18% 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.

Correct prediction on native model

Similar products

SK
SKBindingManager, lightweight bindings for iOS34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SKBindingManager, lightweight bindings for iOS

Hacker News2
SH
SHOW HN: Cobalt – fast, lightweight ethereum dapp prototyping56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SHOW HN: Cobalt – fast, lightweight ethereum dapp prototyping

Hacker News2
Li
Lightweight vacuum packed foam camping matress46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lightweight vacuum packed foam camping matress

Hacker News3
Li
Lightweight AngularJS Entity System48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lightweight AngularJS Entity System

Hacker News1
Lo
Lolight – Lightweight Syntax Highlighter49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lolight – Lightweight Syntax Highlighter

Hacker News11
Ra
RapidBay: Lightweight Torrent Videostreaming for Chromecast and AppleTV46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RapidBay: Lightweight Torrent Videostreaming for Chromecast and AppleTV

Hacker News3
Li
Lightweight Prometheus Exposition with Go34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lightweight Prometheus Exposition with Go

Hacker News1
Xe
Xenoeye – Lightweight Netflow Collector46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Xenoeye – Lightweight Netflow Collector

Hacker News2
Ca
Carotte is a very lightweight Celery on zmq46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Carotte is a very lightweight Celery on zmq

Hacker News1
A
A fast, lightweight vector3D C++ library52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A fast, lightweight vector3D C++ library

Hacker News2