Merci

The idea for Merci was born after attending the PNC workshop on project management pain points. The speakers described how project managers spend enormous time documenting, tracking, and translating informal requests into structured tickets.

This resonated deeply with me — my sister is a PM, and I work closely with another PM at my company. I’ve watched both sides of that dynamic:

PMs chase details across Slack threads and emails, trying to make sense of scattered “please do X” or “we need to fix Y” messages.

Developers feel burdened by the repetitive cycle of ticket creation, updates, and status syncs.

That cycle felt boring, mechanical, and avoidable — so I built Merci to make work documentation invisible and effortless.

Merci listens to your team’s real conversations — on Slack, Teams, or email — and automatically detects when someone expresses intent like:

“Please update the API docs.” “We need to fix the login flow.”

Using NVIDIA’s Nemotron family of models, Merci understands context and previous discussion history, then autonomously:

Creates or updates a Jira ticket, filling out summaries, assignees, and priorities.

Posts a confirmation or summary back to the original thread.

Tracks subsequent updates automatically so that PMs always have an up-to-date view of progress.

No commands. No forms. Just natural conversation → structured action.

To finish

Built With

• django
• next
• postgresql
• tailwind