We re now deep into the controlled Shopify connection architecture phase, and the product has moved from concept shell into a real Laravel beta with safety-gated infrastructure.
The current beta is focused on proving the connection, tenant, OAuth, and token-vault architecture before allowing any live customer data flow.
We built Escrows AI with a couple of friends. It's an AI-powered CRM targeted specifically at real estate brokers, a space that's surprisingly still stuck on WhatsApp threads, scattered spreadsheets, and missed follow-ups.
The problem we kept seeing:
Brokers juggle dozens of clients across calls, messages, and meetings, but have no single place to track any of it. Important deal context lives in someone's head or a voice note they'll never find again.
I ran into a frustrating issue on multiple client projects form submissions getting lost or buried in emails. So I built a simple plugin that: - Stores all form submissions inside WordPress - Works with WPForms, Contact Form 7, and Elementor Forms - Automatically detects fields (no manual mapping needed) The goal was to keep it lightweight and easy to use not another bloated CRM. I ve just released the free version on WordPress.org: https://wordpress.org/plugins/go... Would really appreciate feedback: - Is this something you d actually use? - What features would you expect next? Also thinking about adding: - Auto reply emails - Per-form templates - Basic analytics Would love to hear your thoughts
I m curious how other makers here handle the early stage of product messaging.
When you are building a new product, it is often easy to explain the feature list, but much harder to explain the product in a short, clear, and interesting way.
I ve been thinking a lot about this problem recently:
Stop fighting your AI. Professional writers often avoid AI because it creates slop that is hard to fix. I built CooWriter AI because I was tired of fixing bad drafts. I wanted a tool that respects the writer's intent.
Take Full Control
Most tools use a fixed flow. You click a button and hope for the best. CooWriter AI is different.
Most makers here live on Lo-fi beats or "Ambient Noise" to get through their backlog. As a SaaS architect, I ve spent months analyzing the spectral impact of these loops.
The hard truth: Standard streaming audio (MP3/AAC) is compressed garbage that strips away the very frequencies required for neural synchronization. Your brain isn't focusing; it s working overtime to "fill in the gaps" of missing audio data.
We need to stop treating audio as "background" and start treating it as bio-engineering.
I ve been experimenting with Euclidean-based procedural synthesis to bypass the "Habituation Filter" (the reason why you stop 'hearing' a song after 10 minutes).
