fdbck vs Featurebase
Featurebase is a customer support suite with feedback built in: an inbox, a help center, an AI support agent, boards and a changelog. fdbck does one part of that and goes further with it: reported problems become draft pull requests from your own coding agent.
| Topic | Featurebase | fdbck |
|---|---|---|
| Built for | ||
| Built for | Support, product and go-to-market teams | Developers who want reported bugs fixed, not just logged |
| Product | ||
| Product | Support inbox, help center, AI support agent, feedback boards, roadmap and changelog | Feedback widget, triage inbox, public board and changelog |
| AI | ||
| AI | Fibi answers customers; AI groups and prioritizes feedback | Triage on every report: type, severity, confidence, duplicates rolled up |
| Hand-off to engineering | ||
| Hand-off to engineering | Creates GitHub issues from posts and syncs their status back | Your agent writes the fix, runs your tests and opens a draft PR |
| Closing the loop | ||
| Closing the loop | Emails upvoters when the linked GitHub issue is completed | Tells everyone who reported or voted when the fix ships |
| Pricing | ||
| Pricing | Free for 1 seat, without AI. Paid plans are $29, $59 or $99 per seat per month billed yearly, plus $0.49 per AI resolution. | Free for 1 project. Pro is $19/mo flat ($15/mo billed yearly), nothing metered. |
Featurebase details from featurebase.app/pricing, featurebase.app and Featurebase GitHub integration, checked October 20, 2026.
Where Featurebase is stronger
- Customer support itself: a shared inbox, a help center and an AI agent that answers customers
- One tool for support, product and marketing teams
- SSO on the Enterprise plan
Choose Featurebase if
- You want support and feedback in one product
- Your users mostly need answers, not fixes
- Engineering works from GitHub issues
Choose fdbck if
- Most of what users report is something to fix in your own code
- You already use Claude Code, Codex or Gemini and want it working the queue
- You'd rather not pay per seat or per AI resolution
Fixes run on a small worker on your own machine, with your own agent and credentials. How the worker works