---
title: Langfuse for Hackathons
description: Hosting a hackathon? Request Langfuse Cloud credits for your participants, US $100 per month for 3 months.
---

# Langfuse for Hackathons

Hosting or organizing a hackathon? Give your participants Langfuse credits so they can trace, evaluate, and debug the agents they build, from the first prompt to the final demo.

> **TL;DR**
> Hackathon organizer? [Fill out the form](#apply-now), get approved, and receive a coupon code to share with your participants. Each participant gets **US $100 in Langfuse Cloud credits per month for 3 months**, and you can use the Langfuse logo in your hackathon materials.

- [Request credits for your hackathon](https://docs.google.com/forms/d/e/1FAIpQLSe_COV0hlmlz1cfE9wQLlLgDX6xP4y-iCuEAqcRf250BZzeqA/viewform)

---

## What your participants get

| What they get  | Details                                                      |
| -------------- | ------------------------------------------------------------ |
| Monthly credit | **US $100 / month** towards any Langfuse Cloud plan          |
| Duration       | 3 months from coupon activation, so teams can keep building  |
| Plan coverage  | Covers the full **Core Plan** base fee plus additional usage |

Participants can use Langfuse to:

- **Debug agents** by inspecting every LLM call, tool call, and retrieval step in a [trace](/docs/observability/overview).
- **Evaluate output quality** with [LLM-as-a-judge evaluators](/docs/evaluation/evaluation-methods/llm-as-a-judge) and [datasets](/docs/evaluation/experiments/datasets).
- **Iterate on prompts** with [prompt management](/docs/prompt-management/overview) and the playground.

Langfuse also has a [Free Plan](/pricing) and is [open source](/self-hosting), so participants can start tracing right away and add the credits when they upgrade.

---

## What you get as an organizer

Once your credit request is approved, you may use the Langfuse logo in materials related to your hackathon, such as the event website, sponsor slides, and social posts. Download the official logos from the [brand assets page](/brand) and follow the guidelines there.

Your event qualifies if it is a hackathon, buildathon, or similar event where participants build software with LLMs.

---

## How it works [#apply-now]

1. **Apply** via the short form with details about your hackathon → [Request credits](https://docs.google.com/forms/d/e/1FAIpQLSe_COV0hlmlz1cfE9wQLlLgDX6xP4y-iCuEAqcRf250BZzeqA/viewform)
2. **Get approved** and receive a coupon code by email.
3. **Share** the code with your participants, together with a link to the [get started guide](/docs/observability/get-started).
4. **Participants activate** the coupon when they upgrade to the Core plan via **Settings → Billing** in their Langfuse account (no credit card required).

---

## Frequently asked

### What happens after 3 months?

Participants roll onto standard pricing. They can downgrade to the Free Plan in **Settings → Billing** at any time. As no credit card is required to use the credits, users will not be charged once the discount runs out.

### Does every team member need to redeem the code?

No. Credits apply to a Langfuse organization, and each team can invite all of its members to one organization. One person per team redeems the code.

### Does the discount stack with other coupons or credits?

No. Participants need to choose one offer.

### We're a startup / research lab / non-profit — different program?

We have dedicated programs for other communities:

- **Startups** → [Startups Program](/startups)
- **Research & Education** → [Research Program](/research)
- **Non-profits** → [Non-Profit Program](/non-profit)

[Ask another question](/docs/ask-ai)

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/hackathons.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx @langfuse/cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.