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Rezonant

Talk, spec, ship: get your product ideas into production

Productivity
Task Management
Artificial Intelligence
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Hunted byfmerianfmerian

Rezonant helps product teams turn messy ideas into code-ready specs, tickets, and engineering tasks. Collaborate with PMs, engineers, designers, and AI agents in one shared workspace. Ground decisions in your actual codebase, keep everyone aligned on the same version, and create work that humans and coding agents can confidently ship.

Top comment

👋 Hello Product Hunt!

Now that anyone can ship code quickly, the bottleneck has moved upstream, to the question of what gets built and why.

Rezonant sits above tools like Cursor, Claude Code and GitHub Copilot. It gives product managers a live, multiplayer workspace to turn product ideas into structured specs and tasks that AI coding agents can actually execute - grounded in the codebase, not floating around in Notion docs and Slack threads.


Capture ideas with our Chrome extension, Rezonant Alter. Hit record, point to anything on your live product, prototypes or designs, and talk through your thinking out loud, just like you would with a dev or designer. Alter captures what you said and what you pointed to, maps it to your codebase, and surfaces it as a spec or PRD ready to edit, comment on, break into tasks, and ship.


Try it for free: https://www.rezonant.app/

Can’t wait to see what you build!

Comment highlights

"Rezonates" with me :) agent-ready handoff is the hard yards! how does rezonant inject codebase-specific context into the task spec? repo scan, past PR patterns, learning team conventions over time, or user-curated? the gap i've seen in similar stuff is the unwritten conventions (auth helpers, component library, file structure) that PMs don't include but agents need. anyhow, congrats on the launch, good luck!

The "agent-ready" framing is interesting — does Rezonant output tasks in a specific format that coding agents consume directly, or is it more about human-readable specs that you then feed in manually?

The “talk to PRD to coding agents” flow is the interesting part for me. Where do you draw the line between a product spec and an implementation plan?

I’d be curious whether Rezonant keeps decisions, assumptions, and rejected options as first-class context when handing work to coding agents, or whether it mostly generates a clean final PRD.

Grounding specs in the actual codebase is the real differentiator here, but codebases move every day — does the grounding re-run, or is a spec a point-in-time snapshot that quietly goes stale the moment someone merges a refactor? The failure mode I'd watch for is a confident spec citing a service or path that got renamed last week.

Congrats on the launch! Very timely idea. More teams are building with AI coding agents now, but the messy part is still aligning product context, specs, and execution. Rezonant seems to tackle exactly that gap. Love the workflow-first approach.

Is this for beginner teams that don’t have business analysts? What you described is usually done by a business analyst. Also, now everyone uses Claude Code, Claude Design, Figma, and other tools, so often you need not just a comment but specifically a comment in, for example, Figma, so that Claude Code can later understand it and apply the change. So at the current stage of AI development, I can’t imagine how to do this without a human.


Congrats on the launch!

ChatGPT-vs-Rezonant comparison on the landing page is the best pitch I've seen this week, where Rezonant pulls the actual src/services/integrations/ path instead of giving a generic playbook.

We're building in the SDLC execution space at Revolte (the agent runs from spec through deploy), so the spec-quality problem hits us directly downstream. Curious how you're handling the codebase index — persistent semantic index per repo, or retrieval at refinement time? We went persistent and the freshness problem is harder than I expected.

"Turn messy ideas into structured specs" is a deceptively hard problem because the messiness is where domain knowledge lives — strip too much of it out and the spec becomes generic; leave it in and the agent gets confused. I work on ModeLoop in financial modeling and the same pattern shows up there: the difference between a model an agent can build and one a human can defend is usually in the assumptions, not the cells. Curious how you've handled assumption capture in Rezonant.

We're drowning in 'quick ideas'/proof of concepts/unclear specs - great to have something that can streamline and get the right context all together!

for me the move is the google chrome extension, then using that to screenshare and narrate directly into Rezonant to get that turned into tickets and specs. Loving it so far, like a vibe-product platform :)

Love this! The flow mode to PRD is great. Also enjoying sending straight to coding agents for simple tasks.

Spec-to-code via voice is a workflow I didn't know I wanted until now. Product teams burn so much time translating verbal ideas into structured tasks. We've been building in the ops-heavy SaaS space, and this kind of frictionless spec creation is something PMs ask about constantly. How does Rezonant handle ambiguity in voice input, does it ask clarifying questions?

@abi_church Congratulations on the launch

Congrats on the launch. Most broken features I've watched ship were already broken at the PRD stage. The engineering work just compiled the misunderstanding faster. With agents grabbing tickets directly out of Rezonant, what's the QA loop before that handoff?

It's a pleasure to work together and see your launch! I wish you lots of success moving forward.

Very excited to launch Rezonant - check out the agent document editing functionality, really great for drafting and critiquing documents (shout out to @Tiptap AI Agent)

Loved working on this! 🎉 It's really cool to be able to go back to more natural ways of communicating, bringing products to life just by chatting through ideas and features like you would with the team.

Congrats on the launch @emma_burrows !

So this is automatic PRD creation, right? Do you also have a way to connect this with code agents like Codex or Claude code to implement directly on codebase too?

About Rezonant on Product Hunt

Talk, spec, ship: get your product ideas into production

Rezonant launched on Product Hunt on May 26th, 2026 and earned 304 upvotes and 65 comments, earning #3 Product of the Day. Rezonant helps product teams turn messy ideas into code-ready specs, tickets, and engineering tasks. Collaborate with PMs, engineers, designers, and AI agents in one shared workspace. Ground decisions in your actual codebase, keep everyone aligned on the same version, and create work that humans and coding agents can confidently ship.

Rezonant was featured in Productivity (652.8k followers), Task Management (84k followers) and Artificial Intelligence (469.8k followers) on Product Hunt. Together, these topics include over 242.5k products, making this a competitive space to launch in.

Who hunted Rezonant?

Rezonant was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

Rezonant has received 4 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.

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