What is FeedLog?
FeedLog provides a complete feedback-management loop for software products. Users can submit ideas, bug reports and improvements to feedback boards, vote on existing requests, comment, and follow discussions. Product teams can then prioritize requests, merge duplicates, move work through statuses, and expose planned work through a public roadmap.
Its AI capabilities include semantic duplicate detection, which identifies feedback describing similar problems even when users use different wording. FeedLog also provides AI-assisted changelog generation, allowing teams to select completed feedback and generate release notes in a chosen writing style.
The platform also includes a Universal Widget that can be embedded directly into a product. Users can describe an issue or idea from inside the application, while AI determines whether the message should become public feedback, be handed off to support, or request clarification.
FeedLog is fully open source under the MIT license. Teams can deploy it using Docker, Vercel, or Cloudflare Workers and use their own PostgreSQL database and storage. AI features can use OpenAI-compatible endpoints, including OpenAI, Azure, LiteLLM, or models running on the team's own infrastructure.
Its AI capabilities include semantic duplicate detection, which identifies feedback describing similar problems even when users use different wording. FeedLog also provides AI-assisted changelog generation, allowing teams to select completed feedback and generate release notes in a chosen writing style.
The platform also includes a Universal Widget that can be embedded directly into a product. Users can describe an issue or idea from inside the application, while AI determines whether the message should become public feedback, be handed off to support, or request clarification.
FeedLog is fully open source under the MIT license. Teams can deploy it using Docker, Vercel, or Cloudflare Workers and use their own PostgreSQL database and storage. AI features can use OpenAI-compatible endpoints, including OpenAI, Azure, LiteLLM, or models running on the team's own infrastructure.
Software Category
Project & Work Management
Pricing Model
Free / Open Source / Hosted Cloud
Product Type
saas
Starting Price
USD $0.00
FeedLog Features
✓
Key Feature
Fully open-source under MIT license with both self-hosted and cloud-hosted deployment options, providing deployment flexibility
✓
Key Feature
AI-native duplicate detection that identifies semantically similar feedback even with varied user wording
✓
Key Feature
Complete feedback lifecycle management including collection, voting, prioritization, roadmaps, and changelog generation
✓
Key Feature
Universal Widget for embedding feedback collection directly within products with AI-powered message routing
✓
Key Feature
Free tier available with $0.00 starting price
FeedLog Pricing
Billing Model: Free / Open Source / Hosted Cloud
View Official Pricing →
USD $0.00 / starting
Check the official vendor site for volume discounts, regional tiers, and enterprise terms.
FeedLog Pros and Cons
✓ Key Strengths (Pros)
- • Fully open-source under MIT license with both self-hosted and cloud-hosted deployment options, providing deployment flexibility
- • AI-native duplicate detection that identifies semantically similar feedback even with varied user wording
- • Complete feedback lifecycle management including collection, voting, prioritization, roadmaps, and changelog generation
- • Universal Widget for embedding feedback collection directly within products with AI-powered message routing
- • Free tier available with $0.00 starting price
⚠ Considerations & Limitations (Cons)
- • No customer reviews or ratings currently available (0 reviews, null average rating), indicating unproven real-world track record
- • Limited company information provided (third Corp) with no established reputation data available
- • Heavy reliance on AI features for core functionality without documented accuracy metrics or fallback options
- • No public pricing details beyond free tier, making cost projection for scaling unclear