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ECOMMERCE

Shopify Collection Smart Filters

The take: 3 complained · no good tool.
2 platforms · 3 mentions · ↑0 upvotes
Opportunity score 43/100 Solid
ECOMMERCE sector avg: 57 -14 Top 100% (26 cards)
GapMine track record: 254 predictions proven avg 34d early →
TimingBased on trigger event count, event freshness (14d window), and growth forecast. Percentile against all active cards.
25(weak)
SeverityBased on pain intensity level, mentions (full-corpus percentile), and paid-evidence count (log scale).
51(moderate)
FeasibilityBased on existing supply count (inverse percentile — less supply = higher feasibility), build difficulty, and source diversity.
50(moderate)
14d old Building up Demand only (still incubating)
How we calculated this 43/100
25×30% + 51×45% + 50×25% = 43 → × 1.00 freshness → × 1.00 bronze = 43
Final score discounts: freshness drops ~50% per week (14d old), and grade weight reflects how many of the 3 signal types (demand/supply/trigger) we found.
Incubating

Coverage confidence

We searched 3 of 3 places where competitors live — transparent about what we covered and what we missed.

Confidence
85% (High)
Where we searched
3 / 3 · GitHub · App Store · Web Search
Real competitors found
0 shipped products (AI-verified from 38 raw matches)
Last scan
today · auto-refreshed every month

Should you build this?

YES, if
  • You can ship in 1-2 weeks on $0-20/mo infrastructure
  • No direct competitors yet — first-mover window open
THINK TWICE
  • No paid evidence AND no competitors — could mean "no market" rather than "open market"
VALIDATE THIS WEEK
  1. This weekend: DM 5 of the discourse users who complained — ask if they'd pay $9/mo for a fix (no build yet)
  2. Next 7 days: ship a 2-page landing site with $9/mo waitlist + "request beta" form — count signups
  3. If <10 signups in 7 days: kill it · the demand isn't there at this price

Updated as new signals arrive

Gap fact panel

Pure SQL facts · 0 AI judgment · you decide why

📅 Earliest D signal: 2026-04-05
📊 Total D signals: 3
🌐 Unique sources: 2
⏱️ 30-day concentration: 0%
🔧 Tech-blocker keywords: none
⚡ Recent T signal: none

Top demand quotes:

"[shopify] Broken links-Collection Menu = auto filters prevent display of product" · discourse · ↑0 · original →

"[r-shopify] Sidekick suggested 14 filters for a collection and only 1 made sense." · r-shopify · ↑0 · original →

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Who this is for · Why now · Willingness to pay · Full timeline · Competitor landscape · Build with AI prompt · Validation playbook · Evidence pool · 8+ more sections

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Who is this for

Shopify sellers (2 mentions)

Bloomberg-style buyer profile · grounded in real signals

Pain · MEDIUM

"[shopify] Broken links-Collection Menu = auto filters prevent display of product" · discourse · ↑0 · original →

"[r-shopify] Sidekick suggested 14 filters for a collection and only 1 made sense." · r-shopify · ↑0 · original →

"[r-shopify] metafields vs tags for filtering and searching" · r-shopify · ↑0 · original →

Full timeline · past → now → next

  • Now D1 3 active discussions
Past archive · No historical signals yet · we keep scanning

Future trend · next 7 days

Trend forecast becomes available once enough discussion history accumulates. Shown only when confidence >50%. New cards typically become predictable within 7-14 days after first sighting.

Build this with AI

We've assembled a full brief from the real evidence above. Ready to paste into any AI coding tool.

Or open in your AI tool: Claude ↗ · ChatGPT ↗ · Gemini ↗ · Perplexity ↗
~ 1-2 weeks · $0-20/mo infra
Preview what we send
I want to build a tool for: Shopify sellers (2 mentions)

The pain users describe: [r-shopify] Sidekick suggested 14 filters for a collection and only 1 made sense.

Timing / why now: [no explicit trigger]

Existing alternatives: none clearly identified yet — opportunity for a first-mover

Help me draft an MVP technical plan:
1. Core user flow (happy path, 3-5 steps)
2. Data model (main tables and their key fields)
3. Tech stack recommendation (favor fast-to-ship options)
4. First 3 things to build this weekend
5. What NOT to build in v1 (scope discipline)

Context source: gapmine.com/opportunities/2026-05-06/shopify-collection-filter-optimization

Prompt built by concatenating your real fields · 0 AI rewording · source link included for traceability

Build playbook · if validated ~2-3 weeks

Build only after VALIDATE THIS WEEK succeeds · Based on difficulty × medium and sector × ecommerce · curated playbook

1 Week 1: Ship to discourse (3 complaints live there)
2 Week 2: Price against existing tools · beat it
3 Week 3: Gift to 10 sellers · charge from day 1
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Evidence pool 3

Grouped by signal type · click each source to verify

2 r1 discourse
DEMAND (3)
DEMAND [discourse] [shopify] Broken links-Collection Menu = auto filters prevent display of product · paying · Source ↗
DEMAND [r-shopify] [r-shopify] Sidekick suggested 14 filters for a collection and only 1 made sense. · med pain · seller-shopify · Source ↗
DEMAND [r-shopify] [r-shopify] metafields vs tags for filtering and searching · seller-shopify · Source ↗

This problem also appears in

Sample N=0 · canonical_need not yet mapped to other cards

Cross-card need mapping runs weekly. This card surfaces here once peers are clustered.

Updated weekly.

Topic hotness · weekly

Sample N=2 · need 6+ across 2 weeks

Weekly hotness surfaces once 6+ daily topic snapshots collected (3 in each week).

Updated daily at 07:00 UTC.

Signals last 14 days

Sample N=0 · need 3+ days

Sparkline shows once we have 3+ days of signals for this topic.

Momentum

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