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NativeCode's answer:
NativeCode's answer:
NativeCode's answer:
NativeCode's answer:
๐ How I build NativeCode: the COVID pandemic was going on, I quit my job and started my career as a freelancer. It was the toughest decision, but now I thank God. I found every service-based business is struggling with cash flow, so I decided to help them and started NativeCode in 2020.
๐ค Helped 1600+ people into SaaS founders: In 2020, I launched my first product, GoBiz VCARD SaaS, in the Envato Marketplace. Sequently, 9 products are launched in the marketplace.
๐ Setting goal to transform more people and help them to become SaaS founders.
NativeCode's answer:
NativeCode's answer:
I compared all the vcard saas scripts and finally, it ended with NativeCode's GoBiz. It satisfy me all the way.
Based on our record, Helicone AI seems to be more popular. It has been mentiond 5 times since March 2021. 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.
Helicone takes the simplest possible approach to LLM monitoring: it's a proxy. Change your OpenAI base URL from api.openai.com to oai.helicone.ai, add your Helicone API key as a header, and every LLM request is logged โ latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - Source: dev.to / about 2 months 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 / 2 months ago
For many teams, especially those starting out or with simpler needs, commercial solutions like Portkey, Helicone, OpenPipe, or LiteLLM Proxy offer off-the-shelf capabilities that cover many common proxy use cases (caching, logging, cost tracking). NeuroLink itself can be seen as an SDK that complements these, allowing you to integrate with them or build similar features on top. - Source: dev.to / 4 months ago
TL;DR: Go with Langfuse if you want open-source and self-hosted. Pick Helicone if you want the fastest setup (2 minutes, no SDK). Stick with LangSmith if your stack already runs on LangChain. And if your org already pays for Datadog, their LLM module slots right in. - Source: dev.to / 5 months ago
Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / over 1 year ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Pocket vCard - Your digital business card and contacts manager
LangSmith - Build and deploy LLM applications with confidence
vCard Studio - A contact management application with support for vCard file format (.vcf).
Portkey - Build production-grade & reliable AI apps with Portkey
Sailax Digital Business Card - Sailax Digital Business Card is an app that you can use to make a brand identity to tell the world about your company, brand, and profession.
