SaaS Engineering · Browser Extensions · Platform Development
Building Safentry: A Real-Time Trading Risk Awareness Platform
A Chrome extension and SaaS platform that checks position size, leverage, allocation and account exposure on supported trading platforms and shows contextual risk warnings before a trade is placed.
- Industry
- Trading software
- Project type
- Browser extension and SaaS platform
- Attribution
- Product Engineering
Simplified system overview
- Trading interfaceExternal service
- Extension · risk evaluation
- Contextual warning
- AccountsSubscriptionsExternal service
01 / Overview
Project overview
Safentry combines a browser extension and a SaaS platform to provide contextual pre-trade risk information.
The product evaluates factors such as position size, leverage, allocation, account exposure and the user’s own configurable risk rules.
Product Engineering. Engineering of the Safentry product.
02 / Challenge
The challenge
Trading interfaces differ in:
- Page structure
- Order-entry behavior
- How balances are presented
- Asset denomination
- Leverage controls
- The availability of third-party data
Around the extension, the product also needed authentication, account settings, subscription management, communication between the extension and the web platform, cross-platform integration and ongoing compatibility maintenance.
03 / Solution
The solution
An integrated browser extension and SaaS platform. The extension reads the order being prepared on a supported platform, evaluates it against the user’s risk settings and shows a warning in context. The web platform handles accounts, settings, subscriptions and warning history on shared backend services.
04 / Capabilities
Key capabilities
Contextual risk warnings
Warnings appear within the trading workflow, at the point of decision.
Trading input detection
Order details are read from the trading platform’s own interface.
Position-size evaluation
Orders are checked against the user’s position-size limits.
Leverage and allocation checks
Leverage and allocation are compared with configured thresholds.
User-defined risk settings
Users set the rules that matter to their own trading.
Account management
One account for the extension and the web platform.
Subscription infrastructure
Plans and billing integrated into the product experience.
Risk-warning history
Past warnings are recorded for later review.
Supporting web dashboard
Settings, subscription and warning history in one place.
Platform-specific compatibility
Detection logic adapted to each supported platform’s interface.
Platform integrations
One product, several very different interfaces.
Integration work has covered the following platforms. Each structures its pages, balances and order entry differently, so detection is built per platform, and the checks available may differ between them.
- MEXC
- Binance
- Hyperliquid
- pump.fun
Support depends on each platform’s interface and can change when a platform updates it.
05 / Architecture
Technical architecture
How the parts connect. The animated example follows real stages of the system; every step is also described in text.
- Trading platformExternal service
- Chrome extensionManifest V3
- Order & balance detection
- Risk evaluationUser’s risk rules
- Contextual warning
- Account & settings syncAccount services
- SaaS web platformNext.js
- User settingsSubscriptionsStripe
- Backend services
- SupabasePostgreSQL
- Data flow
- External service
- Processing
- Outcome
- Storage & queues
How it works
Detect the order
On a supported platform, the extension reads the order being prepared and the relevant balance information from the page.
Evaluate the risk
Position size, leverage, allocation and exposure are checked against the user’s own risk settings.
Warn in context
When a rule is exceeded, a warning appears inside the trading workflow. The decision stays with the trader.
Sync the account
Account services connect the extension to the web platform for sign-in, settings and warning history.
Run the product
The web platform manages settings and subscriptions on shared backend services and Supabase.
06 / Decisions
Engineering decisions
Warnings inside the trading workflow
Risk information is most useful at the moment of decision. Showing it beside the order, not in a separate dashboard, keeps it where the trader is looking without taking the decision away.
Platform-specific interface handling
Each platform structures order entry, balances and leverage controls differently. Platform-specific detection is kept separate, so a change on one platform does not affect the others.
Unreliable or missing external data
Third-party pages change, and data can be missing or delayed. Detection treats unavailable inputs as a normal case to handle rather than assuming every value is present.
Extension behavior separate from backend services
The extension focuses on detection and display; accounts, settings, subscriptions and history live in backend services. Each can be changed and released on its own schedule.
Authentication and subscriptions as one experience
Sign-in and subscription state are shared between the extension and the web platform, so users manage one account across both.
Ongoing browser extension compatibility
Manifest V3 requirements and changing trading interfaces make compatibility continuous work. Isolated platform logic and managed releases keep updates contained.
07 / Stack
Technologies
08 / Outcomes
Business outcomes
Safentry provides risk information. It does not prevent losses, guarantee outcomes or improve trading results, and no performance claims are made.
- A working extension that brings risk information into supported trading interfaces.
- Configurable rules for position size, leverage and allocation.
- Accounts, settings and subscriptions managed through a web platform.
- A history of past warnings for review.
- An architecture that contains platform-specific change.
09 / Takeaways
What this demonstrates
- End-to-end SaaS product engineering
- Browser extension development against changing third-party interfaces
- Authentication and subscriptions across an extension and a web platform
- Product decisions that inform users without taking control from them
Discuss a similar project
Have a similar engineering challenge?
Tell us about the workflow, integration, or technical problem you’re trying to solve.