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TinyURL VS Apple Machine Learning Journal

Compare TinyURL VS Apple Machine Learning Journal and see what are their differences

TinyURL

The first notable URL shortener, online since 2002. Branded short links on your own domain, with click analytics that count human and bot traffic separately, QR codes, editable destinations, bulk creation and a REST API.

Rating
0 reviews
Pricing
Freemium $11 / Monthly (Pro - 125 links/mo)
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Alternatives Is it good?
Apple Machine Learning Journal

A blog written by Apple engineers

Rating
0 reviews
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Alternatives Is it good?
ReleasePad
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Apple Machine Learning Journal should be more popular than TinyURL. It has been mentioned 9 times since March 2021.

social mentions
6 vs 9
URL Shortener popularity
100% vs 0%
alternatives listed
240+ vs 105

Base details

Website, pricing, platforms and company facts side by side.

TinyURL
Apple Machine Learning Journal
Website tinyurl.com machinelearning.apple.com
Pricing
Freemium $11 / Monthly (Pro - 125 links/mo) Official pricing
—
Company Startup from the United States · 20 - 49 employees · 2002 —
Listed in
Link Management URL Shortener Branded URLs Links +1
AI Data Science And Machine Learning Developer Tools Machine Learning +1

About TinyURL and Apple Machine Learning Journal

In their own words, as submitted to SaaSHub.

TinyURL
Apple Machine Learning Journal

TinyURL is a URL shortening and link management platform, and was the first notable URL shortener when it launched in January 2002. It now serves over 4.4 million registered users and has created billions of links. Free accounts cover 30 links a month, with links that never expire. Paid plans...

Read more about TinyURL

No description of Apple Machine Learning Journal yet.

Features and specs

What each product offers, as listed by its team.

TinyURL 8 features
Apple Machine Learning Journal 5 features
  • Ease of Use
    TinyURL offers a very simple interface that allows users to create shortened URLs quickly without needing to register or log in.
  • Custom Aliases
    Users have the option to create custom aliases for their shortened links, making them more memorable and meaningful.
  • Link Analytics
    Every link reports clicks over time, referrer, geography, device type, operating system and browser, with human and bot clicks counted separately and two years of history retained.
  • Links That Never Expire
    Links created on the free plan do not expire, so shortened URLs stay valid in print, packaging and archived content.
  • Branded Domains
    Shorten links on your own custom domain or subdomain rather than a shared one. One branded domain on the free plan, three on paid plans.
  • Editable Destinations
    A link destination can be changed after the link has been shared, so a URL already printed or posted can be repointed without being reissued.
  • QR Code Generation
    Generate QR codes for shortened links, for packaging, print and other offline placements.
  • REST API and Bulk Creation
    Documented REST API (OpenAPI 3.0, bearer-token auth) for link creation, updates and analytics retrieval, plus bulk batch endpoints for high-volume workflows.
  • Expert Insight
    The journal provides in-depth insights from Apple's own machine learning experts, offering unique and valuable perspectives on the latest research and applications in the field.
  • Practical Applications
    The content often focuses on real-world applications and implementations of machine learning within Apple's ecosystem, making it highly relevant for practitioners.
  • High-Quality Content
    The articles in the journal are meticulously reviewed and curated, ensuring high-quality and reliable information.
  • Cutting-Edge Research
    Readers get early access to cutting-edge research and innovations directly from Apple's R&D teams.
  • Free Access
    The journal is freely accessible to the public, removing barriers for anyone interested in learning from industry leaders.

Possible disadvantages

  • Apple-Centric
    The focus is predominantly on Apple's ecosystem, which may limit the applicability of some insights and solutions for those working with other platforms.
  • Infrequent Updates
    The journal does not publish new content as frequently as some other machine learning blogs or journals, potentially limiting its usefulness for staying up-to-date with the latest in the field.
  • Technical Depth
    While the technical rigor is generally high, this can make the content less accessible to beginners or those without a strong background in machine learning.
  • Limited Interactivity
    The journal primarily provides static articles and lacks interactive elements or community features such as forums or comment sections for reader engagement.
  • Bias Towards Proprietary Solutions
    The solutions and approaches advocated often align closely with Apple's proprietary technologies, which may not always be applicable or optimal for all contexts and use cases.

Analysis

An editorial look at what each product does well and who it suits.

TinyURL
Apple Machine Learning Journal

Overall verdict

  • TinyURL is considered a good and reliable service for those who need to create short URLs for personal or professional purposes. It is especially valuable for its simplicity and no-cost offering, appealing to users who need straightforward URL shortening without additional features.

Why this product is good

  • TinyURL is a popular URL shortening service that allows users to convert long, cumbersome URLs into shorter, more manageable links. This is particularly useful for sharing links on social media, in emails, or in printed materials where space is limited. TinyURL is easy to use, doesn't require an account, and offers free shortening services. The ability to create custom aliases also adds a layer of personalization and memorability to the links.

Recommended for

    TinyURL is recommended for individuals, small businesses, and organizations that need a quick and simple way to shorten URLs for social media posts, email campaigns, print materials, or casual link sharing without requiring advanced tracking or analytics features.

Overall verdict

  • Yes, the Apple Machine Learning Journal is considered a valuable resource for those interested in applied machine learning, particularly in the context of consumer technology. The content is generally well-regarded for its quality and relevance to ongoing developments in the field.

Why this product is good

  • The Apple Machine Learning Journal offers insights into the cutting-edge machine learning advancements and applications at Apple. It features articles and research papers from Apple's machine learning teams, showcasing practical implementations in real-world products. This makes it an excellent resource for understanding how theoretical ML concepts are applied in industry settings.

Recommended for

  • Machine learning practitioners looking for industry applications of ML
  • Data scientists interested in Apple's ML innovations
  • Researchers seeking inspiration for practical ML implementations
  • Students learning about real-world applications of machine learning

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
TinyURL
Apple Machine Learning Journal
100% 100%
URL Shortener
0% 0%
0% 0%
AI
100% 100%
100% 100%
Link Management
0% 0%
0% 0%
Developer Tools
100% 100%

Questions & Answers

As answered by people managing TinyURL and Apple Machine Learning Journal.

What makes your product unique?

TinyURL's answer

TinyURL has been running continuously since January 2002, which makes it the first notable URL shortening service and one of the oldest still operating. For a link shortener that longevity is the product, not trivia: a short link is only useful for as long as it still resolves, and links created here don't expire.

Three things set it apart day to day:

  • Human and bot clicks are reported separately. Most shorteners report raw click totals that quietly include crawlers and link-preview bots, so reported traffic reads higher than the real audience. Separating them means the numbers can be trusted for attribution.
  • Destinations stay editable after a link is published. A link already printed on packaging or posted to social can be repointed without reissuing it.
  • A permanent free tier, not a trial - 30 links a month, one branded domain, links that never expire.

Why should a person choose your product over its competitors?

TinyURL's answer

Three practical reasons, depending on what you need:

  • You want attribution you can trust. Analytics cover clicks over time, referrer, geography, device, OS, browser and language, retained for two years, with bot traffic separated out.
  • You want your own brand on the link. Bring your own domain or subdomain on any plan, with up to three branded domains on paid tiers.
  • You want links that outlive the campaign. Twenty-four years of continuous operation, and a free tier that doesn't expire, matter when a link is printed on something you can't reprint.

Pricing starts free and goes to $9/month billed annually ($11 month-to-month) for 125 links a month with unlimited tracked clicks. Bulk plans handle 50,000 links a month for agencies and high-volume senders, and there's a REST API for automating the whole lifecycle.

How would you describe the primary audience of your product?

TinyURL's answer

  • Marketing teams running campaigns across several channels who need per-link attribution rather than a single lumped traffic figure
  • Social media managers and creators working inside character limits, who want a branded link rather than a generic one
  • Agencies managing links for multiple clients, each on its own branded domain
  • Developers automating link creation and analytics through the REST API
  • Enterprises needing SLA-backed uptime and compliance support
  • Educational Institutions
  • The healthcare industry

It also has a long tail of individual users who simply need a link shortened, which the free tier covers without an account upgrade.

What's the story behind your product?

TinyURL's answer

Kevin Gilbertson, a web developer, launched TinyURL in January 2002 so he could link directly to newsgroup postings, which at the time had long and unwieldy addresses. It was the first notable URL shortening service, and it arrived years before shortening became a category.

Twitter used TinyURL as its default shortener until May 2009, which put it in front of a mass audience during the period when character limits made short links essential.

Since then it's grown from a single-purpose utility into a link management platform: branded domains, click analytics with two years of retained history, editable destinations, QR codes, bulk creation and a REST API. It now serves over 4.4 million registered users and has created billions of links.

Which are the primary technologies used for building your product?

TinyURL's answer

TinyURL is a cloud-hosted web application, accessible from any browser with no install. Its public interface is a REST API (v2.4.2) published as an OpenAPI 3.0 specification and authenticated with bearer tokens, covering link creation, editing, destination changes, analytics retrieval and bulk batch processing.

Who are some of the biggest customers of your product?

TinyURL's answer

Twitter used TinyURL as its default URL shortener until May 2009.

User comments

Share your experience with using TinyURL and Apple Machine Learning Journal. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

TinyURL no reviews yet
Apple Machine Learning Journal no reviews yet

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We have no reviews of Apple Machine Learning Journal yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

TinyURL 6 mentions
Apple Machine Learning Journal 9 mentions
  • 🔐 Design a TinyURL System (Like Bit.ly) — From Scratch
    Import string Class TinyURL: def __init__(self): self.url_to_code = {} self.code_to_url = {} self.counter = 1 self.alphabet = string.ascii_letters + string.digits def encode_base62(self, num): ... - Source: dev.to / over 1 year ago
  • URL shorteners and why would you need one?
    Choose a shortener: Pick a link shortener that fits your needs---many offer options like custom branding, QR code creation, and analytics. Ziplink, Short.io, and Bitly are all capable of that. If you are looking for something really... - Source: dev.to / over 1 year ago
  • Building a Scalable URL Shortener with Node.js (Part 1/2)
    I'm sure you're familiar with URL shortener tools like TinyURL and Bitly, as they are widely used online. It simply takes a long URL and creates a shorter, unique alias that redirects to the original link. - Source: dev.to / about 2 years ago

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  • Why Apple’s New Tools Are More Useful Than Hype
    Apple Machine Learning Research (papers, blog, research updates): Https://machinelearning.apple.com/ Https://ark-aquatics.com Https://anti-agingstore.com Https://androidtoitaly.com Https://amlaformulatorsschool.com. - Source: dev.to / 11 months ago
  • SimpleFold: Folding Proteins Is Simpler Than You Think
    Apple has an ML research group. They do a mixture of obviously-Apple things, other applications, generally useful optimizations, and basic research. https://machinelearning.apple.com/. - Source: Hacker News / about 1 year ago
  • Apple Intelligence Foundation Language Models
    Https://machinelearning.apple.com Fun fact: Their first paper, Improving the Realism of Synthetic Images (2017; https://machinelearning.apple.com/research/gan), strongly hints at eye and hand tracking for the Apple Vision Pro released 5... - Source: Hacker News / about 2 years ago

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Alternatives to TinyURL and Apple Machine Learning Journal

When comparing TinyURL and Apple Machine Learning Journal, you can also consider the following products.

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