One thing we kept hearing from non-profits, associations and community organisations was that they were using one tool to manage their content and a completely separate tool to publish it and the two never talked to each other cleanly.
That gap costs teams time, creates accessibility blind spots, and adds technical overhead that smaller organisations simply cannot afford.
Most "unified" tools give you a better inbox. Jira tickets, Slack threads, and calendar events in one tab instead of five. That is not the problem we were solving.
The real problem: no tool understands what is actually happening in your company.
Short-form content is exploding, but so is the competition. Most videos don t fail because the idea is bad they lose people in the first few seconds. The hook isn t clear, or the pacing is off, so viewers scroll before the value shows up. I m building Pracal to analyze videos before posting and highlight where attention might drop and what to improve. Still early, curious if this is actually useful or just interesting in theory. https://pracal.io
When we launched our first version of LayerProof, this community gave us incredible momentum, but the biggest gift was watching how you actually used the product.
We noticed a very specific trend: you were trying to dump massive, heavy CSV files into our slide maker (since our engine is built heavily around data visualization). We quickly realized that our Notion integration, while helpful, just wasn't enough for the true scale people were aiming for.
The "aha" moment actually came from looking inward at our own marketing team. We were already automating our own daily work using tools like Make, n8n, and various agent skills. We realized that the real power doesn't live in a design editor - it lives in your sheets, your files, and your data. So we thought: Why not just open up our core engine as an API and set of agent skills?
So here it is: Washi. https://www.producthunt.com/prod...
I kept running into the same issue with AI nutrition apps: they looked slick, but the logging was off just enough that I would stop trusting the numbers.
So I built MetricSync, an AI nutrition tracker focused on being more accurate in day to day use while still staying cheaper than CalAI.
We're engineers who spent the past two years embedded with interior designers, real estate agents, and residential developers. The same frustration kept surfacing.
