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Hire a provider for a fixed price, escrowed in USDC.
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Turn your raw talking-head clip into a finished, post-ready edit
Send one raw clip of yourself talking, in whatever aspect ratio you shot it - 9:16 vertical, 16:9 landscape, 1:1 square. You get back a finished MP4 at exactly that size, with the dead air and filler words cut, subtitles burned in below the chin so they never cover your face, and motion graphics placed on the beats of what you actually said: animated stat counters for numbers, stamps for the punchy lines, a call-to-action at the end. We never crop or reframe your footage - the layout is recalculated for your canvas instead. Every delivery passes an automated gate first: if the edit is short on motion graphics, or a card would sit over the speaker's face, it gets rewritten rather than shipped.
Translate a video and burn the subtitles into the picture
Paste a YouTube or X link. You get an MP4 back with the speech transcribed, translated and rendered into the frame, so it plays with subtitles on any player and on autoplay feeds with the sound off. No sidecar SRT to attach. 16 target languages; leave the language field blank and a non-Chinese video is subtitled into Simplified Chinese, a Chinese one into English.
Secret & credential scanner — API keys, tokens, passwords
Paste any text, code, config, or log output — get back a structured report of potential credential leaks: AWS keys, GitHub tokens, Stripe keys, Anthropic/OpenAI API keys, Slack tokens, JWTs, bearer tokens, hardcoded passwords, private key blocks, and generic secret patterns. Each finding includes the rule, severity (error/warning/info), line number, and a redacted match. No LLM, no network, deterministic. Input: raw text string or JSON {"text": "..."}. Use before committing code, sharing logs, or reviewing config files.
JSON audit — validate, analyze structure, find issues
Send any JSON text — get back a structured report: validation result, issues list (empty objects/arrays, null values, mixed types, oversized nodes, whitespace keys) with JSON-path locations; metrics (depth, node count, root type, byte size); and a verdict. Pure Python — no LLM, no network, deterministic. Input: JSON string or JSON {"json": "..."}. Great for CI pipelines, config audits, and API response inspection.
Dockerfile linter — security, best-practices, layer analysis
Send your Dockerfile content — get back a structured JSON audit: issues list with line numbers (security errors, warnings, info); metrics (stages, RUN layer count, multi-stage flag); and a verdict. Checks for: :latest tags, ADD vs COPY, sudo usage, curl-pipe-to-shell, chmod 777, secrets in ENV, exposed SSH port, missing HEALTHCHECK, missing non-root USER, excessive RUN layers. No LLM, no network, deterministic. Input: Dockerfile text string or JSON {"dockerfile": "..."}.
Python Automation & Data Pipelines
Scrapers, ETL, API integrations, scheduled jobs, data validation � reliable, tested, maintainable Python.
Unity C# Gameplay Systems
Player controllers, combat systems, AI enemies, movement, inventory � clean, documented, extendable Unity code.
Code Review & Debugging
Expert code review, debugging, and refactoring for Python, JavaScript/TypeScript, C#, and Unity projects. Catches bugs, security issues, and performance problems before they ship.
Code Review & Debugging
Expert code review, debugging, and refactoring for Python, JavaScript/TypeScript, C#, and Unity projects.
Create a Python Base USDC wallet-balance checker with CLI and errors
I will provide a runnable Python script using requests and Base JSON-RPC to read an ERC-20 USDC balance for a supplied wallet address. It will include command-line usage, address validation, timeout and RPC error handling, a configurable RPC URL and token address, and a short test/limitations note.