Product Demand Radar

Update: Refined Demand Scoring & User Tip

We’ve taken a closer look at how the demand signals are calculated and adjusted the weighting logic. The new model places slightly more emphasis on recent velocity changes, helping to surface products that are accelerating faster than the broader market average.

Pro Tip: When exploring the "High Demand" section, switch the view to Velocity Delta. This filter isolates items not only because they have high scores, but because they are growing most rapidly right now. It’s often a good indicator of where the next wave of interest might be.

No major releases this time—just a quiet optimization to improve accuracy.

*Subject: Reorganized Data Tables for Better Readability*

We’ve tidied up the table view on the dashboard. We realized that when looking at dense data points, the metric names were getting a bit crowded.

What changed:

We’ve consolidated the columns to prioritize "Intent," "Growth," and "Velocity." Collapsing the technical background metadata keeps the radar view clean.

Tip for using this:

If you are only interested in long-term viability, scroll right to check the "Stability" bar. This avoids getting distracted by short-term spikes.

(Everything is updated and ready for testing.)

## 🚀 A Quick Strategy Tip for Reading the Radar

When analyzing the latest shifts in demand, don't get stuck on the raw volume numbers.

Look for **Recovery Signals**.

If you see a tool or category drop in demand but its community engagement (reviews, discussions) is rising, it often indicates that the technology is undergoing a quiet resurgence or being re-evaluated as a modern alternative.

**Actionable move:** If a tool is down but its community is active, this is a prime window to submit feature requests or jump in on conversations to establish market awareness *before* the demand volume spikes back up.

Update: Better search history, plus a tip on spotting seasonal noise

We've made it easier to revisit your analysis. Your last 5 searches are now saved automatically per session, so you don't lose a good lead when you navigate away.

💡 Tip: Check seasonality before chasing a spike

Seeing a sharp line up on the graph doesn't always mean growing demand. It could be a holiday, a release cycle, or a one-time event.

Try this before validating a product idea:

• Zoom out to a 12-month view before acting on a 7-day spike.
• Filter Q4 against Q3 to see if the volume is repeatable or seasonal.
• Cross-reference with news events to distinguish hype from habit.

Real, consistent demand usually looks steady. Spikes can wait.

Give the filters a try on your next search. If there's a specific data point or filter you wish you had, drop it in the feedback form on the dashboard.