Launching DocMetrics on Product Hunt tomorrow — would love your support and honest feedback
Tomorrow I am launching DocMetrics on Product Hunt and I wanted to share it here first with the community that has genuinely shaped the product over the last few weeks.
For those who have not seen my previous post, DocMetrics is a document analytics platform that tells salespeople exactly what happens after they send a proposal. Not just who opened it but what it meant. Which pages they re-read, whether they are progressing deeper into the document each time they return or getting stuck on the same section, and what the silence after sending probably means.
The interpretation layer that one of you pointed me toward is now built. The platform generates a plain English summary per prospect that answers five questions automatically. Is this deal moving. Who is really involved. Where did interest drop. What does the silence mean. What should I do next.
This community asked sharp questions that made the product better. A technical founder here challenged my scoring model and it led directly to building progressive return pattern detection. Another founder helped me see the difference between pre-sale and post-sale intelligence. Every conversation here has added something real to what I built.
Tomorrow is the first public moment. If you have ever sent a proposal and wondered what happened on the other side this is built for you.
I would genuinely appreciate your support on Product Hunt tomorrow. An upvote, a comment, or even just checking it out and telling me honestly what you think would mean a lot at this stage.
I will drop the link here the moment it goes live tomorrow morning.
Thank you for being part of building this without knowing it.
Really curious how you plan to surface the most meaningful signals without overwhelming people with too much data. I’ve seen tools that track every tiny click and it turns into noise fast. Maybe a quick way to highlight only the moments that actually change the likelihood of closing a deal could be gold. If you ever add benchmarks so folks can compare their proposal engagement to others, that could be super useful.
The noise problem is exactly what I spent the most time solving. The answer I landed on was removing the dashboard as the primary interface entirely. Instead of showing every click and scroll DocMetrics generates one plain English summary per prospect that answers five questions. Is this deal moving. Who is really involved. Where did interest drop. What does the silence mean. What should I do next. The data is all there underneath but the surface the salesperson sees first is a verdict not a spreadsheet.
On the benchmark idea that is genuinely sharp. Knowing that your prospect spent 4 minutes on your proposal is useful. Knowing that the average proposal in your industry gets 90 seconds makes that 4 minutes feel like what it actually is which is a strong signal. That requires scale to do properly but it is on the list.
What made you think about this? Are you sending proposals yourself or building something in this space?
We are live right now. Here is the link — https://www.producthunt.com/products/docmetrics?launch=docmetrics
Thank you to everyone in this community who shaped the product through honest feedback. Every upvote and comment today genuinely matters.
DocMetrics is clear, but the product sounds bigger than document analytics now.
The strongest part is not “metrics.” It is deal interpretation after a proposal is sent: where interest drops, what silence means, who is involved, and what the seller should do next.
That feels closer to post-proposal intelligence than document tracking.
If you keep pushing in that direction, a cleaner .com like Beryxa .com may age better because it gives the product room to become a serious sales intelligence layer, not just a document analytics tool.