Feature spec
Goal: Send a clear invoice after finishing a job.
- Add a client, line items, a due date, and payment instructions.
- Preview the total before exporting a PDF.
- Keep an editable draft if export fails.
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Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
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Generating… usually about a minute.
What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.
States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.
Hypothesis: Contractors need faster repeat invoices more than more templates.
First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.
The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.
Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.
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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for Machete DGX: map the core Developer Tools workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.
Hypothesis 1
Assumption to check: Users often find it hard to visualize task progress.
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Limited filtering options for tasks.
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Tasks can be easily overlooked.
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: User accounts are often hard to manage.
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
Machete DGX puts your NVIDIA DGX Spark in your pocket. Monitor, manage and experiment with your AI server from anywhere — live GPU dashboard, full SSH terminal, Docker management, local LLM chat and a built-in Hugging Face model hub, all in one app. LIVE GPU DASHBOARD • Real-time GPU, CPU, memory, disk and network metrics • Temperature and utilization charts at a glance • Catch problems before they cost you a training run SSH TERMINAL • Full SSH terminal with a real terminal emulator • Multiple sessions, hardware-keyboard friendly DOCKER MANAGEMENT • List, start, stop and inspect containers • Stream container logs in real time CHAT WITH YOUR OWN LLM • Talk directly to the LLM running locally on your DGX Spark • Your prompts stay on your hardware, not in someone else's cloud HUGGING FACE MODEL HUB • Search Hugging Face without leaving the app • Download models straight to your server • Launch them with fully editable runtime parameters COMMUNITY SOLUTIONS • Ready-to-run model recipes shared by the community • Star the best ones and run them in a tap • Publish your own configurations ALERTS & REPORTS • Push and e-mail alerts for temperature, utilization and job events • Daily e-mail reports with your server's health summary SCHEDULED BACKUPS • Back up to S3, Google Drive, Dropbox, Box, FTP or SCP • Set the schedule once, get notified about every run ONE-TAP SETUP • Install the on-server agent directly from the app — no manual configuration MAKE IT YOURS • Deep theming and customization • 9 interface languages • Settings sync across devices with a Supabase account PRIVACY FIRST • SSH credentials never leave your device • Your Hugging Face token is stored encrypted — in the device Keychain and in Supabase Vault • Direct device-to-server connections MACHETE PRO Monitoring your Spark is free. Machete Pro unlocks the power features: • Download and launch Hugging Face models on your Spark • SSH terminal and console access • Docker container management • 24/7 agent: alerts, scheduled backups and reports • Image generation and LLM chat • Multiple servers and the live training monitor Machete Pro is an auto-renewable subscription, offered monthly or yearly. Payment is charged to your App Store account at confirmation of purchase. The subscription renews automatically unless auto-renew is turned off at least 24 hours before the current period ends; the renewal is charged within 24 hours before the period ends. Manage or cancel anytime in your App Store account settings. Privacy Policy: https://dgx.down.pl/machete/privacy/ Terms of Use (EULA): https://dgx.down.pl/machete/terms/ Built for developers, ML engineers and homelab enthusiasts who want their DGX Spark within arm's reach at all times. Requires an NVIDIA DGX Spark (or compatible Linux host) reachable over SSH. This app is not affiliated with or endorsed by NVIDIA Corporation.
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Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
From the Build Kit assessment.
A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.