COMPETITOR SCOUT

Who's closing
in on you

A competitor table only sorts. It can't tell you who's taking your customers. Scroll: the same set spreads into a map, then into a space you can turn. One look shows who's really closing in on you.

Get the app How it scores

macOS and iPhone · in App Store review

Scroll down

01A table→ 02Spread out→ 03Turn it around

Drag to rotate ⤢

CompetitorPrice Price pressureSpecs / features Channel overlapThreat score

Features the higher, the more they've caught up

Price the further right, the closer to your price

Channels the further forward, the more shelves you share

Brand A Band 9 NFC ¥239 95 90 70 81% Brand B Band 2 ¥249 88 74 82 78% Brand C Band 10 ¥299 76 86 58 73% Brand D Fit S ¥329 62 70 76 64% Brand E Air 3 ¥199 84 46 44 51% Brand G Ring S ¥399 44 62 52 44% Brand F Lite 2 ¥159 70 32 30 38% Starband X1 ¥279 72 72 60 You

A full table. Still no idea who's dangerous.

Every cell is filled in. Who's crowding your price, who's caught up on features — you still rank it in your head. Again tomorrow.

Spread them out. Who's closing in shows up.

Same competitors, plotted by price and features. The ones nearest you are the ones taking your customers. Read position, not rows.

Close on paper isn't close on the shelf.

One more check: do you share stores? Price, features and shelves all close — that's the one to fight. Drag to turn it.

Same set · three views

Competitor8

High threat3

Threat factors8

02 / Where the score comes from

Every score
can tell you why.

Overall threat

Who's most dangerous, first

Eight things at once: price gap, category match, feature catch-up, store overlap, positioning, price pressure, channel reach, intel completeness. They fold into one score. Work from the top down.

81%Brand A Band 9

78%Brand B Band 2

How it's computed

The method is on the card

Rules give a base score. The model reviews it against the evidence found. Each card says which path it took — both steps, or a fallback to rules. Nothing hidden.

BM25 + RAGFull assessment

Rules fallbackWhen the model fails

Both scores kept

When rules and AI disagree, you see it

Both scores stay. A big gap usually means that competitor is worth a look yourself — not an average smoothing it over.

Rules47%

RAG88%

Wide gap · manual review advised

Scoring is one job. Specs, another.

Scores get written back to the competitor library. Spec-by-spec compare runs on its own track: it aligns specs and never touches a score. Mix the two and you stop trusting either.

03 / Playbook

Not just who's strong.
How you beat them.

Pick your lead product and a time span. It runs the high-threat competitors through one simulation and returns a phased roadmap.

—Positioning, price band and channel priority each get their own section — not a slogan

—Capability gaps listed one by one: where you are, where to get to, who you're matching

—Moves you can start this week, with KPIs, ready to drop into your schedule

AI playbook simulationConfidence 72%

Starband X1: winning first choice in the ¥300 band

North star · Top 3 in category across mainstream channels within 12 months, ≥30% first-choice rate in the health-monitoring segment

Months 0–3Close the hard-spec gaps

Match the published SpO2 sampling rate and battery life of the 81%-threat competitor

Months 3–6Build channel depth

Add offline stores and carrier channels; narrow the 70-point channel gap

Months 6–12Build what they can't copy

Make NFC + mini-program pairing the default expectation

P0Specs · sensor accuracy95 → 98

P0Channel · offline reach70 → 90

04 / Cloud monitoring

Close the app.
It keeps watching.

It sweeps on the schedule you set: finds new competitors, recomputes threat, syncs the results back. Next time you open it, the changes are already there.

24hours nonstop

8Threat factors

2platforms, one library

Cloud monitoring · every 6hNext run 02:00

20:00

2 new competitors found · Brand A Band 9 NFC lands at 81%, straight into high threat

14:00

Brand B Band 2 price moved from ¥279 to ¥249; price pressure raised

08:00

Full library re-assessed · 23 competitors, 3 changed threat rank

02:00

Brand C Band 10 added 2 sales channels; channel overlap 70 → 78

Turn competitor research
into a background job.

macOS and iPhone stay in sync — one competitor library, one set of assessments.

Get the app Read the FAQ

macOS and iPhone · in App Store review

Details

How does it find competitors?

You describe your own product first — category, price, specs, sales channels. On a scan the model proposes candidates from that, fills in price, specs and channel intel for each, then puts them in a review queue. You decide who actually enters the library.

How reliable are the assessments?

A threat score is built from three layers: an eight-factor rule baseline, evidence retrieved from your library, and a model review. The rule score and the AI score are both kept; method and confidence are written on every competitor. If the model is unavailable it falls back to the rule score and marks it — it never pretends the assessment succeeded.

Where is my data stored?

Your product and competitor library live on your own device and sync through your subscription account, only so your devices match and cloud monitoring can run. No ad tracking.

Can I use it now?

Not yet. The app is in App Store review. Once it passes you can download it straight from the App Store.

How do Mac and iPhone sync?

Sign in with the same subscription account. Each side records when things changed; the merge runs both ways and the latest edit wins. Deletions sync too. The first sign-in pushes your whole local library to the cloud.