Bitly Reviews

1. Deepak Kumar

   · Editor at einsstark.tech · about 6 years ago
   Bitly Review - Amazing Experience.

   Bitly is a URL shortening service and a link management platform. The company Bitly, Inc., was established in 2008. It is privately held and based in New York City. Bitly shortens 600 million links per month, for social networking, SMS, and email. Bitly makes money by charging for access to aggregate data created because of many people using the shortened URLs.

   The Bitly URL shortening service became popular on Twitter after it became the default URL shortening service on the website on May 6, 2009. It was subsequently replaced by Twitter's own t.co service.

   The company uses HTTP 301 redirects for its links. The shortcuts are intended to be permanent and cannot be changed once they are created. URLs that are shortened with the bitly service use the bit.ly domain or any other generic domain that the service offers.

   🏁 Competitors: Rebrandly, TinyURL, Polr

Langfuse Reviews

Bitly mentions (23)

• 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 simple, you may want to check out TinyURL as well. - Source: dev.to / over 1 year ago

• The Power of URL Shorteners in Digital Marketing

  Choose a Reliable URL Shortener – Opt for services like tny.ws, Bit.ly, or Rebrandly that provide analytics and customization. - Source: dev.to / over 1 year ago

• How to Create a Custom Short URL for My Brand?

  The first step in creating a custom short URL is selecting a reliable URL shortening service. Bitly is one of the most popular options available, providing robust features such as analytics, link management, and customization options. Alternatively, you can explore other free URL shorteners that might better suit your needs. - Source: dev.to / over 1 year ago

• Create your own Censorship-Resistant Links for X and More!

  Platforms like X (formerly Twitter) can block or censor links to certain sites like they recently did to Signal.me, even when those links contain important information. A link shortener or redirect may work in the short term, but sites like Bitly and TinyURL create new single points of failure when platforms block them instead. What we want to do instead is leverage unique domains, like one you may already own for... - 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 / almost 2 years ago

Langfuse mentions (28)

• Strands Agents + Langfuse Evaluations

  In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step. - Source: dev.to / 13 days ago

• Best AI Monitoring Tools in 2026: LLM, Agent, and MCP Observability Compared

  Langfuse is the open-source standard for LLM observability. It traces every LLM interaction — prompts, completions, latency, token usage, cost — and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 1 month ago

• What is an LLM evaluation harness? A deep dive into lm-eval-harness

  You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 1 month ago

• How to track LLM costs per customer in production

  Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 1 month ago

• Per-user cost attribution for your AI APP

  Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline — the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago