Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
Nexty.dev
ShipFa.st
supastarter
MkSaaS
Makerkit.dev
SaaSykit
StarterKitPro
GetNextKit
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.
Nexty is a full-stack Next.js SaaS template built on Next.js 15 and React 19, designed to help devs ship commercial web apps fast. From content platforms to AI-driven subscription tools, Nextyโs real-world-ready template gets you to market quicker.
Forget months of grinding on auth, payments, CMS, or AI setup. Nexty bundles these into a polished, deployable package that beats other boilerplates. Itโs built for startups, solo devs, and enterprise PMs who need to launch feature-packed SaaS apps without starting from zero.
Nextyโs your shortcut to launching a pro-grade SaaSโ Itโs not just code; itโs a smarter way to build.
Langfuse
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Nexty.dev's answer:
Nexty's greatest strength is its business completeness and modular design. It not only includes comprehensive authentication, payment, content management, and AI functionalities, but importantly, all features are integrated into cohesive business workflows. You get immediately usable paywalls, user permission controls, quota management, and other core commercial features that let you focus on product innovation rather than infrastructure.
Nexty.dev's answer:
Our Primary Audience Falls Into Three Key Groups:
What They All Share:
The Sweet Spot:
Basically, if you're thinking "I wish I could skip the boring setup stuff and get straight to building my unique features" - you're our target audience.
Nexty.dev's answer:
It's Simple - We Actually Ship Products, Not Just Code
Speed That Actually Matters:
Modern Stack Done Right:
Real Documentation:
The Bottom Line:
Other templates are academic exercises. Nexty is a business accelerator built by someone who's shipped real products and knows what actually matters when you're trying to make money online.
If you want to build a business, not just learn to code, Nexty gets you there faster.
Nexty.dev's answer:
I'm a developer with over 5 years of experience in the software industry. In my day job, I mainly focus on Web frontend and Node.js development.
Since 2023, I've dedicated all my spare time to researching indie development and SaaS products. I've absorbed vast amounts of information and experimented with many tech stacks, with a simple goal - to find the most suitable full-stack technical solution for indie developers.
The tech stacks I've researched and practiced include but are not limited to: - Full-stack frameworks: Next.js, Nuxt.js - Styling & UI: Tailwind CSS, Shadcn UI, NextUI - Authentication: NextAuth, Supabase, Firebase, Clerk - Payment solutions: Lemon Squeezy, Stripe, Paddle - AI features: Direct AI model calls, Vercel AI SDK - Databases and ORM: Supabase, Firebase, Vercel Postgres, Upstash(Redis), MongoDB, Prisma - File storage: Cloudflare R2, Vercel Storage - Deployment: Vercel, Cloudflare, Dokploy, Zeabur, Railway, VPS - Email services: Resend, Unsend, MailChimp
During this process, I've shared insights through my blog and open-sourced several different types of project templates. I'm honored to have received recognition and support from many developer friends.
Through continuous practice and refinement, I've finally condensed this experience into a complete full-stack development solution, which is now the Nexty.dev template.
Based on our record, Langfuse seems to be a lot more popular than Nexty.dev. While we know about 28 links to Langfuse, we've tracked only 1 mention of Nexty.dev. 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.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 16 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ 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
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 2 months ago
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
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
This article is based on the deployment steps for my Next.js SaaS boilerplate Nexty.dev, and is the most comprehensive tutorial on the internet for deploying Next.js projects with Dokploy. I hope it helps everyone. - Source: dev.to / 9 months ago
Helicone AI - Open-source LLM Observability for Developers
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LangSmith - Build and deploy LLM applications with confidence
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LangChain - Framework for building applications with LLMs through composability
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