Products in the top 10 are usually featured in the following day s newsletter, but Meridian was included today. It is an incredible milestone for our team and a strong signal that our launch has been featured.

Meridian is an open-source, local-first AI work journal that captures developer activity, organizes it into a clear timeline, and drafts worklogs and daily updates for approval.

We are still live and currently ranked #2 on Product Hunt. Your support and honest feedback would mean a lot to us.

Newsletter: https://www.producthunt.com/news...

Three months ago, my co-founder and I quit our jobs to build Meridian full-time. We wanted developers to have a tool they could actually inspect, control, and trust.

Meridian is an open-source, local-first AI work journal. It runs on your device, captures the work that usually gets forgotten, and drafts worklogs and Jira updates for you to approve. Your data stays with you.

You helped us reach #1 Product of the Day. Now we re going for Product of the Week. If open-source software matters to you, support Meridian and tell us what you think.

Product Hunt: https://www.producthunt.com/prod...

We spent three months building an open-source, local-first AI work journal that captures daily activity and turns it into clear timelines, worklogs, and updates. Yesterday, the Product Hunt community helped it reach the top position.

Thank you to everyone who supported the launch, shared their experience, left a comment, or recommended Meridian to someone else. The launch is over, but the work continues. We are reviewing what people shared and improving the onboarding, activity timeline, and drafted updates.

If you have tried Meridian, we would value hearing honestly what worked well and what still feels unclear.
GitHub: https://github.com/Meridiona/mer...

Product Hunt: https://www.producthunt.com/prod...

Launching Meridian and reaching #1 Product of the Day taught us how much preparation, clear messaging, and community support matter.

For makers who have launched on Product Hunt, what worked, what surprised you, and what would you do differently next time?
Product Hunt: https://www.producthunt.com/prod...

GitHub: https://github.com/Meridiona/mer...

A completed task is easy to summarize. The work behind it is not.

A short update might say, Fixed the issue and opened a PR. That sentence hides several different kinds of work:

1. Investigation: reproducing an inconsistent bug, comparing logs, tracing data across files, and checking recent changes.

2. Failed approaches: testing fixes that introduced new problems or ruled out incorrect assumptions.

3. Technical judgment: choosing a maintainable solution instead of the quickest one.

4. Review: finding related edge cases and preventing the issue from recurring elsewhere.

5. Unplanned work: handling interruptions and problems that were never part of the original task.

When this context disappears, complex work looks trivial and efficient problem-solving becomes almost invisible. Teammates see what changed, but not why it changed, what alternatives were rejected, or what they should know before working on the same area.

A production incident can consume six hours of investigation and end with a ten-minute fix. An engineer can spend an afternoon reviewing an AI-generated implementation that took 20 minutes to produce, experimenting with five approaches before finding the one that works, or helping a teammate make a critical architectural decision. Yet the system may record only a ticket moving from In Progress to Done.

I saw this repeatedly while building AI-native systems for enterprises at my previous organization, leading a team of talented developers.

The consequence is bigger than poor reporting: companies misjudge capacity, overlook contributions, and reward visible output over difficult work. AI coding agents are making that mismatch impossible to ignore.

Meridian finished as the #1 Product of the Day on Product Hunt.

We built Meridian after repeatedly seeing valuable work disappear between tickets, standups, and end-of-day updates. Developers solve unexpected problems, investigate issues, help teammates, and make important decisions, but much of that effort is forgotten when progress is reviewed.

Meridian runs locally, organizes daily activity into a clear timeline, and drafts worklogs and updates for review. It is open source, private by design, and built to make the work behind the outcome visible.

Thank you to everyone who supported our launch, told us what worked and what didn t, and helped Meridian reach the top.

Giving them a recurring reason to open the app.

The best retention loops usually begin with a specific trigger: a task that repeats, information that changes, progress worth checking, or collaboration that brings people back. If the product solves a one-time problem, more notifications will not create a habit.

What helped you turn initial interest into repeated use? Was it a stronger core workflow, better onboarding, visible progress, or something else?

We built Meridian because important work often disappears between tickets and final outcomes. Debugging, code reviews, unexpected fixes, and other unplanned tasks take real time but rarely make it into worklogs or weekly updates.

Meridian runs locally, reconstructs your day from on-screen activity, organizes it into a timeline, and drafts summaries and project updates for you to review. It is open source and MIT-licensed.

Thank you to everyone who supported the launch, shared Meridian, and joined the conversation. Reaching #1 gave the project strong visibility, but the real work is turning that momentum into a product people keep using.

Product Hunt: https://www.producthunt.com/prod...

You re expected to remember everything you did months ago.

Especially the unplanned work.

• That production incident

• The weird bug you spent an entire afternoon debugging

• Teammate you helped unblock

• Investigation that never became a Jira ticket

• Small improvement that saved everyone time.