Find underpriced CS2 deals faster.

CS2Edge turns noisy market listings into a ranked deal queue with net profit after fees, liquidity context, source quality, and risk signals in one cockpit.

Open cockpit
Live beta: alert gate, Daily Report, and Deal Cockpit deployed
CS2Edge Deal Cockpit
Best Deals Now Interactive demo

DMarket lens

Best current fit for live discovery and operational testing. Keep it as the main execution source while we compare other markets as pricing/context sources.

Primary Fast listings Watch fees

A cleaner workflow for active flippers.

CS2Edge does the repetitive market reading and leaves the trader with a smaller, better decision queue.

01

Scan

Collect fresh listings from supported sources without keeping fifteen tabs open.

02

Price

Compare buy price to fair value and calculate what remains after sell fees.

03

Rank

Sort by net profit, ROI, liquidity, source quality, risk, and listing age.

04

Act

Open listing, check Steam, watch, ignore, or mark bought from one cockpit.

Designed around real CS2 inventory decisions.

The live cockpit should use market item thumbnails when available. The public site mirrors that language instead of showing generic finance cards.

Click through the product logic.

This is the subscription value: faster access to filtered signals, not a promise that an autobot will print money.

Best deals, ranked by clean upside.

Instead of chasing raw discounts, the cockpit shows net profit after fees, ROI, listing age, source, and a simple risk flag.

Karambit | Doppler+$347.21
Sport Gloves | Vice+$69.12
M9 Bayonet | Tiger Tooth+$88.04

What users are actually paying for.

The subscription should sell information advantage. The public story must stay grounded: speed, data coverage, filters, and better decision support.

Net profit after fees

Shows expected proceeds, break-even, ROI, and whether the spread survives marketplace fees.

Signal quality reporting

Daily Report compares sent vs skipped alerts so the product can prove it is reducing noise.

Risk and liquidity context

Deals are not equal. Fast-moving rifles and rare knives should be treated differently.

Evidence before hype.

Current beta numbers should be shown honestly: no closed exits yet, but the alert gate is already filtering the right kind of noise.

Sent alertsQualified for trader attention8824h
Skipped noiseFiltered before Telegram/cockpit3,568gate
Average sent netExpected clean profit per sent alert$6.3717.8% ROI
Closed dealsWaiting for paper/manual exits0honest

Simple beta pricing.

Keep billing lightweight until we have enough outcome data. The core paid tier is for serious flippers who value speed and filters.

Free

Delayed intelligence for small flippers learning the workflow.

$0/mo
  • Delayed alerts
  • Basic deal queue
  • Limited filters

Trader

Fast filtered signals and cockpit workflow for active CS2 flippers.

$19/mo
  • Instant alerts
  • Custom filters
  • Daily Beta Report
  • Watchlist and positions

Pro

Later tier for heavier users after source confidence and outcomes mature.

$49/mo
  • Advanced analytics
  • Bulk filters
  • Priority beta features

Important answers.

These answers are intentionally conservative. Trust is a bigger asset than loud promises in this market.

No. The public product is deal intelligence: data, filters, risk context, and faster manual action. Autopilot should remain internal or private until the legal and marketplace risk is understood.
No. It surfaces underpriced opportunities and shows the math. The trader still decides whether the item, marketplace, liquidity, and timing are acceptable.
Because active traders pay for speed and cleaner selection. The value is fewer noisy listings, faster alerts, better filters, and a cockpit that reduces repeated manual checking.
The concept does not depend on one marketplace. CSFloat can stay as price context where available; DMarket, white.market, Skinport, and other sources can carry the core discovery model.

Trade with better information.

CS2Edge is not a guaranteed-profit bot. It is a faster way to find underpriced listings, understand the numbers, and make cleaner trading decisions.