
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
Exploding Topics
Glimpse
Google Trends
Treendly
Trends.co
Slack
Coolors.co
Trends.vc
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
LangfuseExploding Topics is recommended for marketers, entrepreneurs, product developers, and business strategists who are looking to gain a competitive edge by identifying and leveraging upcoming trends. It's also useful for investors seeking to understand potential growth areas in various markets.
Langfuse might be a bit more popular than Exploding Topics. We know about 32 links to it since March 2021 and only 30 links to Exploding Topics. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 9 days ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 12 days ago
Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 18 days ago
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 30 days ago
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 / 2 months ago
Check out: https://explodingtopics.com/ (not related to them in any way). - Source: Hacker News / over 1 year ago
Sounds pretty similar to the situation I found myself in. I discovered a few newsletters/tools: trending insights (free), exploding topics ($39/mo), and trends.co ($300/ yr). Source: about 3 years ago
I also recommend subscribing to newsletters like new venture weekly (free) or Exploding Topics (freemium) for business ideas. Source: about 3 years ago
Best to start with what you're good at doing, check websites like exploding topics and answer the public to see if there is hype/market around your skillset. Get started by helping people in that niche for free, use AI tools to supercharge your work and find clients. Rinse and repeat until you start making money. Source: about 3 years ago
There are places that can even help you find the perfect niche to go into like exploding niches, exploding topics to name a few. Source: about 3 years ago
Helicone AI - Open-source LLM Observability for Developers
Glimpse - Discover trends before they're trending
LangSmith - Build and deploy LLM applications with confidence
Google Trends - Explore Google trending search topics with Google Trends.
LangChain - Framework for building applications with LLMs through composability
Treendly - Track global trends