Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

Radiq

Product intelligence for the autonomous coding era

PMs lose hours every week stitching signal from Slack, Jira, Confluence, and meetings. Not deciding. Just chasing context, citing evidence, and rewriting specs engineers question anyway. Radiq runs the customer-to-code loop on autopilot: surface the decision, prioritize by evidence, generate a developer-ready spec grounded in code, and push it into the developer IDE via MCP. What took a week now takes minutes.

Top comment

I'm Ritvik, co-founder of Radiq.


I spent years as a PM, working in B2B, B2C, 0 to 1 and Enterprise products, most recently scaling a new product line from $0 to $40M at Flutter Entertainment with a 50-person cross-functional team. Every Monday meant the same loop of hours stitching signal from Slack, calls, support tickets, and meeting notes, then writing specs that engineering came back questioning anyway.


Every PM tool used at scale today was built before AI coding agents existed. We're building Radiq for what comes next — when the artifact PMs produce stops being a document for humans to read and starts being a structured spec an AI agent can execute.


Radiq is the context engine that fixes this. We aren’t just a writing assistant; we automate the customer-to-code loop. We ingest signal across channels, build an intelligent knowledge graph grounded in your technical architecture, and push structured, developer-ready output straight into Cursor or Windsurf via MCP.
We’ve been validating this with design partners who realized that their dev speed increased. Radiq fixes the handoff so the developers get it right the first time.


We’re onboarding our next batch of design partners. If you’re tired of the "Monday Toil" and want to bridge the gap between your roadmap and your codebase, drop a comment below. 🙌

Reach us at myradiq.com — we'll be in the comments all day. Ask us anything 🙌

About Radiq on Product Hunt

Product intelligence for the autonomous coding era

Radiq launched on Product Hunt on May 8th, 2026 and earned 78 upvotes and 4 comments, placing #31 on the daily leaderboard. PMs lose hours every week stitching signal from Slack, Jira, Confluence, and meetings. Not deciding. Just chasing context, citing evidence, and rewriting specs engineers question anyway. Radiq runs the customer-to-code loop on autopilot: surface the decision, prioritize by evidence, generate a developer-ready spec grounded in code, and push it into the developer IDE via MCP. What took a week now takes minutes.

On the analytics side, Radiq competes within Developer Tools, Artificial Intelligence and YC Application — topics that collectively have 981k followers on Product Hunt. The dashboard above tracks how Radiq performed against the three products that launched closest to it on the same day.

Who hunted Radiq?

Radiq was hunted by Ritvik Foujdar. 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

Radiq has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.

For a complete overview of Radiq including community comment highlights and product details, visit the product overview.