Meridiona
Meridiona builds Meridian, an open-source AI work journal for developers that reconstructs the workday from on-device activity, explains what was done and why, and drafts project-management updates. Its stated philosophy is to make developers' work visible without turning the product into a monitoring or surveillance tool.
At a Glance
- Individual software developers
- AI-assisted developers and coding-agent users
- Software engineering teams
- Organizations seeking developer-productivity visibility with local data handling
- +1 more
AI Tools by Meridiona
(1)Meridian
AI Work Journal From Screen
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Latest News
Meridian 1.90.0 released on GitHub with PM onboarding, macOS autostart, Jira sync, and reliability/observability improvements.
Meridian launched on Product Hunt as a free, open-source, local-first AI work journal for developers.
Meridiona published 'The timesheet wasn't lying. It was blind.', reporting that substantial genuine work disappeared from conventional tickets and worklogs.
Published 'Your velocity went up. Your visibility went down.' about the gap between AI-assisted throughput and reconstructable work history.
Products & Services
A free, MIT-licensed, open-source desktop AI work journal for macOS and Windows. It observes app/window activity and coding-agent sessions on the user's device, reconstructs a searchable timeline, produces daily summaries and standup notes, matches work to project-management tickets, and drafts worklog updates for approval before posting.
Market Position
Meridian positions itself between manual time trackers/timesheets and invasive employee-monitoring products: it automatically records and explains a developer's work, but runs locally, avoids random screenshots, is open source, and requires approval before posting updates. Its differentiated angle is reconstructing the reasons and unplanned work behind a day, not merely counting billable hours; public alternative listings compare it with tools such as Toggl Track and Harvest.
Leadership
Founders
Akarsh Hegde
Founder of Meridiona; describes his focus as AI-native developer efficiency for individuals and enterprise teams. His public LinkedIn listing identifies PES University as an education affiliation.
Adithya Harish
Founder of Meridiona and an AI engineer. He is also the public contact/book-a-call host linked from Meridiona's website and a maker of Meridian on Product Hunt.
Kamal Bothra
Co-founder at Meridiona AI. His public LinkedIn result lists a previous role as owner and operator of Mahalaxmi Marble & Granite.
Executive Team
Akarsh Hegde
Founder
Founder focused publicly on AI-native developer efficiency; associated with PES University.
Adithya Harish
Founder / AI Engineer
Founder and AI engineer; public maker and spokesperson for Meridian's Product Hunt launch.
Founding Story
The founders say they were developers who repeatedly had to ask an AI assistant to write a work update and then spend time reconstructing the context it had missed, especially unexpected debugging, unplanned work, and dead ends. After seeing a Reddit post about developers underestimating unplanned work go viral, they concluded the problem was broader and built Meridian to remember the work automatically while keeping activity local and auditable.
Business Model
Revenue Model
Meridian is currently offered as a free download for individual developers, with no seat charge, trial, or credit card requirement. The product is open source and its normal operation uses the user's configured AI provider and connected project-management credentials rather than a Meridiona-hosted model; the company also describes organization-authorized use in its privacy policy.
Pricing Tiers
Free for individual developers; no seat, trial, or credit card.
Target Markets
- Individual software developers
- AI-assisted developers and coding-agent users
- Software engineering teams
- Organizations seeking developer-productivity visibility with local data handling
- Teams using Jira, Linear, GitHub Projects, Azure DevOps, or Trello
- Developers reconstructing what they did during a day or sprint
- Preparing standup notes and Jira worklog/ticket updates without manual rewriting
- Understanding unplanned debugging, research, interruptions, and other work omitted from timesheets
- Improving estimates and retrospectives using actual work history
- Maintaining a private, searchable work journal
- Giving AI-assisted engineering teams a trace of how work was performed
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