Meridian

Turn research into dev ready specs and develop with agents

105 followers

Turn research into dev ready specs and develop with agents

105 followers

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Project management software

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Vibe Coding Tools

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AI Workflow Automation

Meridian helps AI-native teams turn customer research into specs their human and AI builders can execute. The platform helps to discover new feature ideas by running surveys on Linkedin; prioritizes and scopes features into tracks; prepares a plan where humans and Ai agents can work collaboratively to complete the track; release it and monitor for feedback to close the loop. Create a project with Astra and it will help you to know your product before you build it.

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Launch tags:Analytics•SaaS•Maker Tools

Launch Team / Built With

Viktor.comAn AI coworker that actually does the work

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Maker

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When I was building my previous venture Nestafar, I realized there was no proper tool out there which a founder can use to learn market insights before building a product. As I was building for the hospitality industry in remote towns, the general research available on google and claude were too bleak. This was the core problem I wanted to solve and hence build the Expected commercial value ranking system which was using a probabilistic method to generate surveys based of Fletch Value mapping framework and score them to produce information on the most important features that the market is looking for. The first version of this research tool was the MVP for meridian launched in July. However, we realized there was no way to validate if the ECV ranking was working until the feature was released and we collected the final feedback to close the loop. Hence, we kept building to develop a full product management suite powered by our value engine. The value engine conducts deep market research to define a value based positioning; tracks the value all across the build, release stages; and finally collects the feedback to tune this understanding of value in future releases.

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2mo ago

@shubhojyoti_ganguly1 did you do market research first to validate opportunity size and people's willingness to pay?

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28d ago

Maker

@alexey_borovkov Of course I did. The first MVP was validated by 30+ founders from YC who gave feedback on how to improve the product. I maintain a whatsapp group with many of them still now to keep validating as I introduce more features.

Thats my core approach in Meridian as well.

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25d ago

Forum Threads

p/meridian-12

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1mo ago

All vibe coding tools are eager to deliver without understanding my idea

Every vibe coding tool out there starts building the code immediately as they get some sense of the product.
But product development is not just code generation.
There's so much that the Ai needs to understand about the user, market, goal of the product before developing it.
I bring my workflows to build product-market intelligence in Meridian which helps users solve real problems by automating research, scoping ideas and building products.

p/meridian-12

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2mo ago

How often does the spec not match with product requirements ?

Would love to hear all the different problems you are facing in spec driven development.
When feature priorities change or ad-hoc bugs surface, do you create new specs or modify old ones ?
How is the kanban board tracked during spec driven development ? I feel the kanban board statuses are not suitable for spec driven development and we need to define a custom workflow to make it work.

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