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Field notes

Notes from the field.

Practical methods for reading a market before you enter it — competitor ads, search demand, retail proof, community chatter. Everything here works with free, public sources.

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A kestrel hovering above a field of competitor ad cards, each stamped with a start date
Competition · 10 Jul 2026

Reading the Meta ad library: what competitor ads tell you before you spend anything

A running ad is a bill someone chooses to keep paying. A field method for reading competitor ads — age, variation clusters, angle — as market evidence before you spend anything.

7 min read
Illustration of a compass beside a rising search-trend line, representing search demand read as direction rather than volume
Demand signals · 10 Jul 2026

Google Trends is a compass, not a map: reading search demand without fooling yourself

Google Trends shows direction, not volume. How to read slope, volatility and seasonality — and dodge the misreads that put sellers into a market right as the spike ends.

8 min read
Field-journal illustration of a product shelf annotated with sales-rank and review-velocity markings, observed through a spotting scope
Demand signals · 10 Jul 2026

Retail proof: what Amazon rank and review velocity actually say about demand

BSR is category-relative, review counts are mostly history, and review velocity is the closest public proxy for current sales. A field method for reading Amazon's receipts before you source inventory.

7 min read
Field-journal illustration of a lone observer at a listening post, noting overlapping speech bubbles rising from distant forum windows
Demand signals · 10 Jul 2026

Listening posts: a field method for Reddit product research

Nobody writes a 400-word rant about a dog harness for your benefit — which is why it counts as evidence. A field method for turning Reddit threads into product research you can actually weigh.

8 min read
Line chart of a viral product trend showing a sharp spike, with two diverging paths after the peak: one collapsing back to zero and one settling onto a permanently raised baseline
Demand signals · 10 Jul 2026

Spike or signal: how to tell whether a TikTok product trend will last

A trend that dies in three weeks and one that runs for years look identical in week one. A field method for reading structure, comments, and three durability checks before you commit inventory.

7 min read
Field-journal illustration of a kestrel hovering above a crowded market of near-identical stalls, scanning for open ground
Competition · 10 Jul 2026

How to tell if a product is saturated (and why counting competitors misleads)

Forty competitors is a headcount, not a verdict. Four public symptoms — ad churn, price compression, creative convergence, flat demand — tell you whether a market has actually closed.

7 min read
A field notebook showing a four-item checklist beside a radar sweep, representing a free four-pass check of product demand
Playbooks · 10 Jul 2026

The zero-budget pass: how to test product demand before spending a cent

Four free checks — competitor ads, search direction, Amazon proof, community chatter — that kill bad product ideas in an hour of desk research, before you spend anything on ads or inventory.

7 min read
A kestrel hovering above a field divided into three surveyed plots, marked for demand, spend, and pain
Playbooks · 10 Jul 2026

How to know if a niche is profitable before you build the store

Demand, spend, and pain — a profitable niche shows all three in public evidence. How to check each with free tools, size the market in honest ranges, and compare candidates before you commit.

7 min read
A field notebook scorecard grading a product market across four weighted axes, with handwritten sums totaling a score out of 100
Playbooks · 10 Jul 2026

A field scorecard for product ideas: grading a market before you enter it

A weighted four-axis rubric for grading product ideas before you enter a market — demand, competition, retail proof, community pull — with thresholds that force a kill-or-continue call.

8 min read