KodaSync automatically extracts high-signal friction points from your Fireflies or Fathom calls and turns them into ready-to-code Jira tickets.
We sync directly with your existing meeting assistant. No new bot to invite, no extra clicks required. We listen where you already work.
Our AI doesn't just summarize; it finds the exact moment a user struggled and maps the friction with precision timestamps.
Push a fully formatted ticket to Jira, complete with the user story, acceptance criteria, and the direct evidence link.

Hey, I’m Sudheer.
As a product guy, I noticed a broken loop: we spend hours interviewing users, but those recordings just sit idle in Fireflies or Fathom gathering digital dust. Nobody has time to rewatch hours of video just to copy-paste bugs into Jira.
So, I built KodaSync to fix it. It automatically catches high-signal user friction, adds precision timestamps, and generates ready-to-code Jira tickets. Under the hood, a fast Next.js stack powered by Inngest handles the heavy lifting in the background.
I’m looking for 5 PMs to join the founding beta for free lifetime access. Let's build together!
No. KodaSync connects directly to your existing meeting assistants like Fireflies or Fathom. We just process the transcripts they generate without needing an extra bot on the call.
With one click, we create fully formatted tickets in your Jira workspace. They automatically include a user story, acceptance criteria, and timestamped links back to the exact moment in the recording.
Absolutely. We use enterprise-grade encryption and never use your private meeting transcripts to train foundational AI models.
During our founding beta, KodaSync is completely free for the first 5 Product Managers. Post-beta pricing will be tiered based on your team's transcript volume.
Yes! As long as your meeting assistant generates a transcript, our AI can analyze it and extract actionable insights in over 30 languages.
"We are looking for 5 Product Managers to join our founding beta. You'll get free access for life and direct influence over our feature roadmap."