Learn how to interact with this file using the Ouro SDK or REST API.
API access requires an API key. Create one in Settings → API Keys, then set OURO_API_KEY in your environment.
Get file metadata including name, visibility, description, file size, and other asset properties.
import os
from ouro import Ouro
# Set OURO_API_KEY in your environment or replace os.environ.get("OURO_API_KEY")
ouro = Ouro(api_key=os.environ.get("OURO_API_KEY"))
file_id = "844883c5-0238-482e-8edd-66319ca53a31"
# Retrieve file metadata
file = ouro.files.retrieve(file_id)
print(file.name, file.visibility)
print(file.metadata)Get a URL to download or embed the file. For private assets, the URL is temporary and will expire after 1 hour.
# Get signed URL to download the file
file_data = file.read_data()
print(file_data.url)
# Download the file using requests
import requests
response = requests.get(file_data.url)
with open('downloaded_file', 'wb') as output_file:
output_file.write(response.content)Update file metadata (name, description, visibility, etc.) and optionally replace the file data with a new file. Requires write or admin permission.
# Update file metadata
updated = ouro.files.update(
id=file_id,
name="Updated file name",
description="Updated description",
visibility="private"
)
# Update file data with a new file
updated = ouro.files.update(
id=file_id,
file_path="./new_file.txt"
)Permanently delete a file from the platform. Requires admin permission. This action cannot be undone.
# Delete a file (requires admin permission)
ouro.files.delete(id=file_id)Product Hunt AI & Tech Launch Analysis Dataset (SFT Format)
Overview: > This is a curated, high-density Supervised Fine-Tuning (SFT) dataset focused on tech startup launch strategies, category positioning, and early traction signals from Product Hunt. It is formatted explicitly for LLM fine-tuning, retrieval-augmented generation (RAG), and competitive analysis applications.
Dataset Specifications:
Format: Valid JSON Array (Instruction/Output pairs)
Size: 20 deep-analysis records
Target Domain: B2B SaaS, Developer Tools, AI Agents, Productivity Systems, and Local SEO platforms.
Data Fields Captured per Record: Brand value propositions, launch timeline data, core category/tag mapping, specific engagement metrics (upvotes, day/week/month ranks, follower counts), and inferred market-reception signals.
Ideal Use Cases: > Training specialized AI marketing agents, fine-tuning venture capital deal-flow evaluation models, or powering automated competitive-intelligence dashboards for early-stage software startups.