---
title: "Trend — weed rake - Flapen"
canonical_url: "https://flapen.com/research/us/patio-lawn-garden/weed-rake/trend"
last_updated: "2026-08-09T09:35:55.201Z"
locale: en
meta:
  description: "Niche score 73/100 · $182K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 73/100 · $182K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — weed rake - Flapen"
---

# **weed rake**

**Worth a look**

Shows demand growing +112.7% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 37Growth 95Conversion 66Competition 68Returns 84Price range 84Avg price 95Brand share 89Review moat 35Quality gap 89

**Growth**

**Incredible****+112.7%**

90-day search growth — must beat 0% to launch

**Avg price**

**Incredible****$23.79**

avg listing price — sweet spot $15–$100

**Brand share**

**Great****46%**

top-5 brand share — no brand owns this niche

**Quality gap**

**Great****4.1★**

avg incumbent rating — lower means beatable quality

**Returns**

**Great****1.5%**

return rate — above 5% kills the launch gate

**Price range**

**Great****$9.45–$48.91**

cheapest to priciest tracked listing — scored on the share inside $15–$100

**Competition**

**Good****44%**

top-5 click share — leaders hold, buyers still browse

**Conversion**

**Good****5.9%**

search→purchase rate — share of searches ending in a sale

**Market size**

**Okay****$182K**

$182K/yr · 130K searches

**Review moat**

**Okay****3,019.5**

avg incumbent reviews — the moat a new listing must climb

**Signals**[** Trending**](https://flapen.com/research/niches?market=us&signal=trending "Search growth > 100% (90d)") [** No Dominant Brand**](https://flapen.com/research/niches?market=us&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=us&signal=low_review_barrier "Top brand's reviews < 500")

## Trend