Helicone AI
Langfuse
LangSmith
Portkey
liteLLM
OpenRouter
Eden AI
LangChain
TechStackTrack
Vendr
Zylo
Cledara
StackSwap
Vanta
Stackshare
Spendflo
Vendors, renewals, and costs - before they drift and eat your margins. Connect your tools, get alerted ahead of yearly renewals, and spot what you're overpaying for or no longer using - to maximize output for your team.
When you start selling upmarket, security reviews slow everything down. TechStackTrack solves this automatically: as you add tools to your stack, your subprocessor list and Security Page stay up to date, and are ready to share. Send prospects a branded link instead of a spreadsheet or scattered documents. Proactively answer the compliance questions before they are asked. One platform for the internal work of controlling spend and the external work of building trust. Letโs brag about your tech stack to attract talent, investors, and customers. Embed it to your website as proof you take this seriously. You stop answering the same tech stack or compliance questions over and over. Your champion on the buyer side gets what they need to push the deal through internal review. Deals move faster.
Whether you're a 10-person team getting your first real SaaS stack under control, or a 150-person scaleup closing enterprise contracts with procurement teams, the platform grows with you. Start free (limited offer)
Helicone AI TechStackTrackNo features have been listed yet.
TechStackTrack's answer:
Scaling the team at Lime, I thought I had costs under control - until I didn't. Tracking spend across employees meant endless spreadsheets and receipts, while trying to calculate how costs would scale for our next hires. On top of this we didn't have a proper security documenation which resulted in internal ping pong of sheets, docs, and links. Starting Nom made it worse. Subscriptions, renewals, cash flow forecasting, mapping out subprocessors - it was a constant juggling act. I realized every founder and revenue leader faces this same silent pain. So we built the tool I needed: one place to manage subscriptions, predict costs as you scale, and benchmark alternatives. And keep your subprocessors list up to date and win deals faster with a trusted Security Pages. No spreadsheets. No surprises. Just clarity - internally and externally.
TechStackTrack's answer:
Currently in BETA, TBD
TechStackTrack's answer:
TechStackTrack combines subscription spend management with GDPR compliance tooling and external trust-building in one platform. The unique combination includes:
TechStackTrack's answer:
TechStackTrack's answer:
European startups and scaleups, specifically targeting: - Founders or builders - Operations or finance teams - Commercial or technical operators that haven't hired internal finance or security yet
TechStackTrack's answer:
Check out the tech stack here for the full breakdown: https://app.techstacktrack.io/brag/techstacktrack
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.
Vendr - Vendor Management Services for high-growth companies. Renewal Management, Price Benchmarking, Contract Logistics
LangSmith - Build and deploy LLM applications with confidence
Zylo - Zylo helps organizations optimize their SaaS investments by providing insights around Spend, Utilization, and User Feedback.
Portkey - Build production-grade & reliable AI apps with Portkey
Cledara - We help companies bring visibility and control to their ever-growing #SaaS stack.