StartupBase
Product Hunt
BetaList
Startup Buffer
Uneed.best
PitchWall
AlternativeTo
SaaSHub
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
StartupBase is a platform for launching and discovering new products every day ๐
Built for founders, indie makers, and early adopters, StartupBase helps great products get seen by the right people. Founders can submit their startup, create a public profile, and gain visibility through launches, rankings, collections, reviews, and community engagement.
Whether you are shipping something new or looking for products worth trying, StartupBase makes discovery simpler, sharper, and more useful. It is a place where launches get attention, products get context, and builders get a better chance to stand out.
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.
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StartupBase's answer
StartupBase gives founders more than temporary exposure. We focus on lasting discoverability, cleaner product pages, structured rankings, and real SEO value. Founders can launch products, build credibility, collect feedback, appear in curated collections, and continue getting visibility long after launch day.
StartupBase's answer
StartupBase is built for long-term product discovery, not just one-day launches. Products get dedicated pages, launch history, rankings, collections, SEO visibility, and ongoing traffic instead of disappearing after 24 hours. We also use AI to help founders create stronger listings faster through our AI Launch Assistant.
StartupBase's answer
StartupBase is primarily built for startup founders, indie hackers, SaaS creators, AI builders, developers, marketers, and early-stage teams looking to launch, promote, and grow their products. It is also used by tech enthusiasts and early adopters who want to discover new tools and startups.
StartupBase's answer
StartupBase was originally launched in 2017 with a simple goal: help great products get discovered. Over the years, thousands of startups were submitted and the platform grew into a trusted place for founders seeking visibility and feedback. After nearly 10,000 listings and thousands of users, StartupBase was completely rebuilt to improve discovery, product pages, rankings, and long-term growth opportunities for founders.
StartupBase's answer
StartupBase is primarily built using:
StartupBase's answer
Based on our record, Langfuse seems to be a lot more popular than StartupBase. While we know about 28 links to Langfuse, we've tracked only 1 mention of StartupBase. 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.
StartupBase - Fresh startups showcased daily. - Source: dev.to / over 2 years ago
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 / 17 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
Product Hunt - A website that lets users share and discover new products
Helicone AI - Open-source LLM Observability for Developers
BetaList - BetaList provides an overview of upcoming internet startups. Discover and get early access to the future.
LangSmith - Build and deploy LLM applications with confidence
Startup Buffer - Startup Buffer is a premium startup directory for emerging startups all around the world.
LangChain - Framework for building applications with LLMs through composability
