Launching today
Threddle
Real-time trends and inventory intelligence for retail
34 followers
Real-time trends and inventory intelligence for retail
34 followers
Threddle fuses real-time social listening, vector embeddings, and multi-agent AI to predict shopper intent. Fix blindspots, optimize assortments, and eliminate overstock before it hurts your margins.
Hey Product Hunt! 👋
Ever wonder why modern retail brands still struggle with massive overstock while missing out on fast-moving micro-trends?
Before building Threddle, we looked deep into the D2C and retail landscape and realized a painful truth: founders and operators are drowning in data, but starving for actual clarity. Traditional forecasting tools look backward, reacting to spreadsheets and historical lag when consumer intent has already shifted.
We built Threddle to fix that.
Threddle is a multi-agent AI system designed to act as your autonomous demand intelligence layer. It continuously tracks real-time retail trends, analyzes SKU lifecycles, and flags inventory blindspots—turning raw market chaos into clear, ready-to-run actions.
What Threddle helps you do:
- Predict Shopper Intent: Fuse real-time trend signals with demand models before they hit your analytics.
- Fix Inventory Blindspots: Cross-reference SKU performance with live market velocity to prevent deadstock.
- Take Instant Action: Get automated cues for price adjustments, product bundling, variant changes, and clearing slow movers.
We’re thrilled to finally share this with the PH community today!
As fellow builders, your feedback means everything to us. Take it for a spin, let us know what you think, and ask us anything.
What’s your biggest frustration when it comes to inventory or predicting what will sell next?
Let’s chat below!
I don't have a data team. I don't have a buying analyst. It's just me and a spreadsheet trying to figure out what to stock for next season. Threddle is the first thing that's actually felt like a fair fight against the bigger players.
The trend detection is probably the most interesting part. Spotting something while it’s still picking up steam is way more useful than looking at what already took off. Most tools tell you what happened. This actually helps you see what’s coming next.