
Helicone AI
Langfuse
LangSmith
Portkey
liteLLM
OpenRouter
Eden AI
LangChain
Patchlog
Changelogfy
Barelog
Changefeed
Changelog.gy
Changeloggy
CHANGELOG.md
Changelogs.gallery
Patchlog is a drop-in changelog for web apps. You embed one script tag, with no SDK and no npm install, and get an in-app "what's new" widget plus a hosted changelog page and an RSS feed.
The widget renders inside a Shadow DOM, so it never inherits or leaks the host page's CSS, and it behaves the same in React, Vue, Rails or plain HTML.
Other features: scheduled publishing so you can write updates ahead of time and have them post themselves, per-update view and click analytics, light/dark/auto theming with a custom accent colour on Pro, and 2FA on accounts.
Pricing is flat rather than metered on your traffic: free for 1 project and 25 updates, which shows a small "Powered by Patchlog" badge, or $7/month ($60/year) for unlimited projects and updates, badge removal and advanced analytics. Most tools in this category bill per monthly active user, so the bill grows with your app even though writing release notes does not get harder.
What Patchlog does not do: no user segmentation or targeting, no NPS surveys, no roadmaps or feature voting boards, no email digests, and no public API. If you need those, Beamer or Canny is the better fit.
Helicone AI
PatchlogNo features have been listed yet.
Patchlog's answer:
A real free plan with no trial expiry, and a widget that embeds in any web app with two lines of JavaScript. No bloated feature set, no enterprise pricing for a tool that should be simple.
Patchlog's answer:
Most changelog tools charge $29-$60/month for features most small teams never use. Patchlog gives you a working in-app widget, a public SEO-friendly changelog page, full Markdown support, and RSS on the free plan. The Pro plan is $5/month. It covers everything 90% of SaaS products actually need.
Patchlog's answer:
Indie founders, solo developers, and small SaaS teams who want to keep users informed about product updates without paying enterprise prices for it.
Patchlog's answer:
Built out of frustration with the existing options. Every changelog tool was either too expensive, too complex, or offered a "free trial" that expired before you could evaluate it properly. Patchlog started as the tool we wished existed: simple to embed, honest free tier, no fluff.
Patchlog's answer:
Laravel, Vue 3, Inertia.js, Tailwind CSS, MySQL.
Patchlog's answer:
Patchlog is early-stage and does not publicly disclose customer names at this time.
Based on our record, Helicone AI should be more popular than Patchlog. 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
This is exactly how I built the changelog widget for Patchlog. It is a drop-in "what's new" widget for SaaS products: one script tag, rendered inside a Shadow DOM so it never collides with the host site's CSS, with light, dark, and auto theming that reads the host's CSS variables when you want it to. There is a free tier if you want to see the technique in a shipped product rather than a blog snippet. - Source: dev.to / 22 days ago
I build Patchlog, so the snippet above is my own tool. I'm not going to pretend otherwise. It's early: the free tier is one project and 25 updates, which is genuinely what I run on my own projects. I'm sharing the approach because it's helped me, and if it saves you the afternoon it cost me to think through, great. - Source: dev.to / 23 days ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Changelogfy - Changelogfy is an all-in-one platform to collect, organize and manage customer and teammates feedback, prioritize and build a product roadmap, and announce product updates.
LangSmith - Build and deploy LLM applications with confidence
Barelog - Simple way to create a changelog for your product
Portkey - Build production-grade & reliable AI apps with Portkey
Changefeed - A beautiful changelog for your product in seconds