Webflow Reviews

1. Margaret

   almost 3 years ago
   Amazing

   Designing websites with Webflow has been an absolute delight. Its visual interface makes the design process intuitive and efficient. The drag-and-drop functionality for elements is a real time-saver, and the real-time preview allows for instant feedback. Customizing designs to be responsive for different devices is a breeze. Webflow's ability to handle complex animations without code is impressive. All in all, Webflow has made website creation a smooth and enjoyable process. Definitely a game-changer for web design!

   🏁 Competitors: Tilda

Langfuse Reviews

Webflow mentions (142)

• Agency stole bestselling author's book, used AI to relaunch as their own

  You tell me: https://webflow.com/@qontour?msockid=0946eab0f6bf6a55192dfccaf7bf6b3f If that doesn't look like a marooned freelancer down on their luck I don't what does. I mean, what's your read on this? Is this a person who secretly hates the book and the author and re-published its contents because he knows that people who have the content will never, ever purchase a book, no matter how much they like it? And he... - Source: Hacker News / 28 days ago

• Add Authentication and RBAC to a Webflow App

  Authentication and authorization are essential for controlling user access and actions within applications, ensuring the right people can do the right things. However, implementing these features can be complex and error-prone, especially in Webflow, where server-side logic isn't easily accessible. Ineffective management of sessions and user roles can expose your application to security vulnerabilities. - Source: dev.to / 3 months ago

• Death to Scroll Fade

  Https://webflow.com/ is what I blame for the fade-in on scroll module. 15 years ago it did look very polished, boutique, professional. Now that it's a module everyone can do, everyone literally does it for every module. Also there's tailwind that likely has a module for all the modules in webflow. - Source: Hacker News / 4 months ago

• What is the Most Effective AI Tool for App Development Today?

  Bubble is a prime example. Jason Rowe, Marketing Specialist at Hello Electrical, states, "Bubble is a powerful no-code platform that integrates AI tools seamlessly, enabling developers and non-developers alike to build fully functional web applications without writing complex code." It supports AI plugins for chatbots and data analysis, ideal for prototyping e-commerce or workflow apps. - Source: dev.to / 11 months ago

• 16 Best CMS Platforms for Websites in 2025

  Webflow combines power of visual design with a full-featured CMS. It’s ideal for designers and front-end developers who want full control over website layout and interactions, while still managing content through clean, no-code interface. - Source: dev.to / 12 months 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 / 16 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 2 months 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