Analytics and monitoring decision

PolyScout

A capable developer can build a useful trader-watching tool (watchlists, parsing, alerts) but reproducing the fully polished product (mobile apps, historical curation, production polish) would take more time and operational work than a small single-person scope justifies.

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You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off104 h to build

$90/mo6 h/mo upkeep

No published price to break even against.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Index Polygon blocks and Polymarket activity → identify and rank traders by performance → persist wallet state and compute alerts → deliver push notifications and show watchlists in a UI.

What it still won’t have

  • Polished mobile UX, polished cross-device notifications and app-store distribution
  • Historical data curation and any proprietary performance scoring tweaks
  • Brand, existing user accounts and support channels
  • Operational telemetry and alert tuning at scale

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

PolyScout does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

—

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What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal PolyScout replacement: use Node.js for backend, Postgres for storage, and a React web frontend. Core features in scope: (1) a Polygon block indexer using a public RPC provider to fetch new blocks and Polymarket contract events, (2) a parser to extract trades and compute per-wallet metrics (realized/unrealized PnL, volume, win rate), (3) a scheduler/service that evaluates alert rules and stores alert history, (4) a REST API to serve leaderboards, wallet pages, and watchlists, (5) push notification integration (APNs or Web Push) and simple email alerts, (6) a React UI to follow wallets, view trades, and configure alert thresholds. Out of scope: mobile app store packaging, paid analytics dashboards, advanced scoring models, or high-volume horizontal scaling. Include error handling for RPC failures, idempotent block processing, data schema migrations, and unit/integration tests for parser, ranking, and notification logic.
How we checked2 sources · 3/3 runs agreed · evidence score 57

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • 3/3 assessment runs agreed+4
  • Evidence score57

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded