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I got compromised today. I do blockchain work and try to be super safe, but I dropped my guard on this one.
Someone claiming to represent The Sandbox, impersonating one of their lead devs, reached out to me directly in my DMs. Because they used the name of a massive, legit company, I didn't question it. There was no public job listing on the platform, just a direct message, a normal intro, a CV exchange and then a take-home coding test.
I ran the code locally for the technical assessment and it turned out to be malware. My system is down and offline right now. To make matters worse, there wasn't a listed job to flag and I wasn't able to report the profile before they vanished.
I need some advice from the community:
1. What is your go-to method for safely vetting and running these tests? VMs? Cloud sandboxes?
2. When a scammer reaches out directly and you can't report an active job/profile on the platform, where do you report malicious repos or impersonators to get them taken down?
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Fieldwork now works from request to approved quote.
Try the demo: https://launchinseven.com/samples/fieldwork
Enter a fictional service request, see the itemized estimate, then open Operations to edit the quote, review it and export a printable quote or CSV. Records survive a reload in your browser. The demo uses fictional data and local storage; a shared live system would need its own agreed backend and access controls.
The point is to make a business workflow concrete enough to test: what the customer enters, what the team reviews, what changes status and what leaves the system.
I direct scope and review; GPT-6 Astra handles implementation and many checks. This is an original working sample, not a paid client case.
If an existing web workflow is causing friction, message me on Contra with the URL or redacted screenshots and what should happen. We can agree a small paid first milestone—such as a documented workflow review or a defined interface fix—with its deliverable, fee, inputs and timing confirmed before work.
I'd keep a short change history beside the itemized estimate, so the team can see what changed before approval and which version was exported.
Title: High-Performance SaaS MVP Build
Explanation: Delivered a production-ready SaaS analytics MVP dashboard for a startup. My responsibilities included frontend development using Next.js 14 and Tailwind CSS, backend architecture with Supabase Auth & DB, and integrating realtime data streaming (WebSocket) for dynamic charts. Reduced the standard development sprint from 6 weeks to 3 weeks, resulting in the client securing initial user feedback 50% faster than their internal roadmap anticipated. This highlights speed and scalability for early-stage ventures.
