App Overview

LLM Server icon

LLM Server

Linosec · Business

Your Phone Is Now an AI Server

$17.99 · In-app purchases

PRICE
$17.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
N/A
No ratings yet

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.

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Build Kit

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A product spec, screen plans, and build steps for your coding agent.

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What's included15 files

A product spec, phased build plan, differentiation notes, and screen references.

  • START_HERE
  • AGENTS
  • EVIDENCE
  • SPEC
  • BUILD_PLAN
  • DIFFERENTIATION
  • skills/
  • screens/
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Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.

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.

Screen plan

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.

Differentiate and validate

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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Quick prompt

> SELECT BUILD PLATFORM:

Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.

// RORK SYSTEM PROMPT
Rork plan preview for LLM Server: map the core Business workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
            

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Opportunities

AI-GENERATED OPPORTUNITY HYPOTHESES

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

Implement user ratings and feedback mechanisms.

Assumption to check: Limited user feedback and reviews suggesting lack of reliability

Validate with people who use this workflow before building.

Hypothesis 2

Introduce a free trial and tiered subscription model.

Assumption to check: High price point may deter users

Validate with people who use this workflow before building.

Hypothesis 3

Simplify model management with better UI/UX.

Assumption to check: Complexity in managing multiple models

Validate with people who use this workflow before building.

Hypothesis 4

Provide in-app tutorials and documentation for new users.

Assumption to check: Lack of educational resources or tutorials

Validate with people who use this workflow before building.

App evidence

Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.

App Store description

Your Phone Is Now an AI Server LLM Server turns your iPhone or iPad into a private AI inference server. Run large language models entirely on-device, expose an OpenAI-compatible API to your local network, and chat with your model from any browser on any device — laptop, desktop, tablet, even another phone. No cloud, no subscription, no data leaving your hardware. Chat From Any Browser on Your Network Start the server and open the URL on any device sharing your Wi-Fi. The built-in web interface gives you a clean chat UI instantly — no client app to install, no account to create. Your laptop, your partner's tablet, a colleague's machine: all talking to a model running on your phone. OpenAI-Compatible API, Drop-In Ready A standard OpenAI-compatible API means LLM Server slots into any tool you already use — Continue, Open WebUI, LangChain, custom scripts, the lot. Chat completions, text completions, streaming (SSE), and model listing endpoints all supported. Ollama CLI commands work too. Fully Offline, Fully Yours - Download a GGUF model once and you're done with the cloud. Inference runs locally on Apple Metal GPU with no internet required. Your prompts, your conversations, your data — none of it leaves the device. Airplane mode works fine. Any GGUF Model From Hugging Face - Browse and download directly from Hugging Face with built-in search, or import your own files. LLaMA, Mistral, Phi, Gemma, Qwen, DeepSeek, and every other llama.cpp-supported architecture runs out of the box. Background downloads with progress tracking so you can keep working. Enterprise-Grade Security - TLS/HTTPS encryption — generate self-signed certificates or import your own chain and private key. - API key authentication — Bearer tokens with per-key management. Generate cryptographically secure keys or bring your own. - Bind control — lock to localhost, open to your LAN, or pin to a specific interface. Tune Every Knob Full control over generation: context size up to 32K, temperature, top-p, top-k, repeat penalty, frequency and presence penalties, max tokens, seed, GPU layer offloading, and thread count. Save presets globally or per model. Smart Resource Management Your phone stays responsive under load. Real-time thermal monitoring with automatic thread reduction under pressure and request rejection at critical temperatures. Memory-aware model loading with conservative budgeting. Configurable request queues and per-request timeouts. Built for Developers - Live API docs with copy-paste curl examples - Structured logging (debug, info, warning, error) - One-tap copy for server addresses and API keys What's Inside Dashboard with one-tap server control, model manager with download progress, complete settings hub (server, inference, security, API keys, developer tools), and guided onboarding for first-time setup.

Written user reviews are not shown here. Check current App Store reviews >

Screenshots

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Build scope

Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.

Define the first version

Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.

Set boundaries

Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.

Check the hard parts

Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.

SUGGESTED BUILD STACK
React Native
Expo
Supabase
Zustand
React Navigation
React Native Paper
BUILD KIT DIFFICULTY
Advanced

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.