# Basefocus

*/Startups/Basefocus*

## Startup Overview

Knowledge workers lose deep focus to fragmented pings and poorly timed alerts. This desktop application eliminates constant interruptions by batching incoming notifications based directly on the user's active screen context. It monitors the foreground application and working state to hold non-urgent messages until a natural break occurs in the workflow.

Standard operating system focus modes and manual muting require users to predict their schedules or remember to toggle settings, while tracking tools like RescueTime only report on distraction after it happens. This system dynamically adjusts notification delivery by reacting to real-time screen activity rather than relying on fixed timers. Because the context analysis executes entirely local to the device, active window contents and personal data never leave the machine.

## Startup Founding Hypothesis

**Approach**: that batches incoming notifications based on active screen context
**Competitors**:
- [RescueTime](/Competitors/RescueTime)
- [OS Focus Modes](/Competitors/OS_Focus_Modes)
- [Manual Muting](/Competitors/Manual_Muting)
**Differentiator2x2**: driven by active screen state rather than manual scheduling, and fully local to the device

## Startup Solution Coordinate

**Solution**: [Screen Context Batcher](/Software/Screen_Context_Batcher)

## Startup Position2x2

```mermaid
quadrantChart
title Notification Management
x-axis Manual Scheduling --> Active Screen State
y-axis Cloud / Account Required --> Fully Local to Device
Basefocus: [0.85, 0.85]
OS Focus Modes: [0.20, 0.85]
Manual Muting: [0.05, 0.95]
RescueTime: [0.75, 0.20]
```

## Startup Offer

**Proof**:
- Aim to increase continuous uninterrupted work sessions by 40% for knowledge workers.
- Targeting zero cloud data transmission by keeping all screen-state parsing strictly on-device.
- Designed to intercept and batch an average of 30+ non-urgent notifications per day per user.
**Tiers**:
- Name: Personal License · Price: ~$40–$60/yr · Inclusions: Local active-window tracking, standard app-based notification batching rules, and up to 5 custom focus profiles for a single user.
- Name: Pro License · Price: ~$80–$120/yr · Inclusions: Unlimited focus profiles, VIP keyword overrides, and intended calendar sync to align screen contexts with scheduled deep work blocks.
- Name: Team Fleet · Price: ~$100–$150/user/yr · Inclusions: Centralized billing, intended team-wide 'do not disturb' status syncing, and shared notification-batching policies across managed devices.
**Guarantee**: If Basefocus does not reclaim at least 5 hours of uninterrupted deep work per week within your first 30 days, we will refund your initial subscription in full.
**Business Function**: ProvideService
**Objection Handlers**:
- Privacy risk of screen monitoring -> All context detection is built to run entirely locally, meaning no screen data or window activity ever leaves your machine.
- I will miss critical emergencies -> Users can set specific VIP contacts or keywords (like 'URGENT') that instantly bypass the batching queue for immediate delivery.
- Redundant to OS Focus modes -> Native OS modes rely on manual toggles or rigid scheduling; Basefocus detects your active application context (like an open code editor) and initiates automatically.
- High battery drain -> The context engine is designed to poll active window metadata rather than analyzing pixels, targeting negligible CPU and battery usage.
**Pricing Architecture**: Tiered
**Agent Checkout Support**:
- agentic-commerce-protocol

## Startup Brand

**Voice**: Understated professional register marked by a complete absence of urgency.
**Tagline**: Batches incoming alerts locally until your current task is done.
**Icon Concept**: drawer
**Palette Intent**: editorial-neutral
**Visual Identity**: Muted slate and matte charcoal tones dominate the design, paired with stark typography and frosted overlays that simulate a quiet boundary against desktop noise.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: Basefocus → Knowledge Worker
**Gtm Motion**: Acquires individual users through a freemium desktop application offering basic active-window notification batching. Expands revenue through premium subscriptions that unlock granular application-specific rules and enterprise site licenses for focused engineering or design teams.
**Agent Channel**: Designed to list in OS-level agent tool registries and the OpenAI GPT Actions directory, enabling personal AI assistants to dynamically adjust notification rules based on a user's calendar or assigned workload.
**Primary Channel**: Mac App Store and Windows Microsoft Store productivity listings, driven by user searches for 'distraction blocker' or 'automatic focus mode'.

## Startup Customer Journey

```mermaid
flowchart LR
    A[App Store Listing] --> B[Freemium Desktop Application]
    B --> C[Active-Window Tracking Engine]
    C --> D[Custom Focus Profile]
    D --> E[Pro License]
    E --> F[OpenAI GPT Action]
    F --> G[Team Fleet License]
    G --> H[Shared Notification Policy]
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 14-day individual pilot: Validate that the local context engine correctly identifies deep-work applications and successfully intercepts non-urgent alerts with negligible CPU and battery drain.
- 30-day team deployment for 10 to 20 users: Prove that centralized team-wide status syncing integrates cleanly with schedules and reclaims the targeted 5 hours of deep work per week.
- 60-day department evaluation: Confirm that shared notification-batching policies enforce team focus without blocking VIP keyword overrides during actual emergencies.
**Target Metrics**:
- Target: 5+ hours of uninterrupted deep work reclaimed per week per user.
- Aim: 40% increase in continuous, uninterrupted work sessions for knowledge workers.
- Target: 30+ non-urgent notifications intercepted and batched per day per user.
- Aim: 0 bytes of screen-state data transmitted to the cloud, validating local-only privacy requirements.
**Target Case Studies**:
- Mid-sized software development agency: Validating the Team Fleet tier by tracking the elimination of mid-sprint messaging interruptions and the increase in uninterrupted coding blocks across a team of developers.
- Independent creative professional: Demonstrating the Pro License capability by automatically triggering focus profiles when design applications are active, batching non-urgent client communications until the session ends.
- Remote marketing department at a B2B SaaS company: Testing shared notification-batching policies to reduce context-switching and reclaim the guaranteed 5 hours of deep work per user per week.
**Testimonial Targets**:
- Senior Software Engineer expressing relief that focus mode triggers automatically upon opening an IDE, without requiring manual toggling or rigid scheduling.
- Director of Engineering confirming that team-wide status syncing reduced developer context-switching while maintaining critical incident communication via VIP keyword overrides.
- Freelance Consultant emphasizing trust in the tool because the local active-window tracking ensures zero client data is sent to the cloud.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Operating system vendors like Apple and Microsoft lock down notification interception APIs for privacy reasons, breaking core functionality. · Mitigation Status: unmitigated
- Severity: high · Description: Native OS updates introduce automatic context-aware notification batching, eliminating the need for a third-party tool. · Mitigation Status: unmitigated
- Severity: high · Description: Continuous local screen context analysis drains device battery or hogs CPU resources, leading to rapid user uninstalls. · Mitigation Status: in-progress
- Severity: moderate · Description: The local heuristic incorrectly batches critical personal alerts during deep work sessions, causing users to miss emergency messages. · Mitigation Status: in-progress

## Startup Competitors

- [RescueTime](/Competitors/RescueTime) — Time Tracker
- [OS Focus Modes](/Competitors/OS_Focus_Modes) — Status Quo
- [Manual Muting](/Competitors/Manual_Muting) — Manual Fallback
- [Freedom App](/Competitors/Freedom_App) — App Blocker
- [FocusMe](/Competitors/FocusMe) — Rule Builder

## Startup Solution Stack

- [Focus Context Service](/Services/Focus_Context_Service) — Service-as-Software
- [Screen State Analyzer Agent](/Agents/Screen_State_Analyzer_Agent) — Agent
- [Notification Batching Worker](/Agents/Notification_Batching_Worker) — Agent
- [Local Screen OCR Engine](/Software/Local_Screen_OCR_Engine) — Software
- [Native Intercept API](/Software/Native_Intercept_API) — Software

## Startup Story Brand

**Hero**:
- **Need**: to be the high-output contributor who masters their environment, not the one managed by it
- **Want**: to finish high-concentration tasks without constant desktop pings breaking their flow
- **Identity**: the knowledge worker juggling multiple creative and technical deep-work apps
**Plan**:
- Step: Select Apps · Detail: Choose which deep-work windows, like Figma or VS Code, trigger an automatic notification hold.
- Step: Validate Rules · Detail: Review your batching schedule and VIP keywords to ensure urgent Slack messages still reach you instantly.
- Step: Work Deeply · Detail: Focus on your screen while alerts accumulate silently in the background until your session naturally concludes.
**Guide**:
- **Empathy**: Does your creative process still suffer because you forgot to manually toggle your status before starting a deep-work block?
**Problem**:
- **Villain**: manual muting
- **External**: Toggling macOS Focus modes or Windows Do Not Disturb manually fails as soon as an urgent Slack ping or Outlook alert pulls focus from a VS Code session.
- **Internal**: You feel like your cognitive bandwidth is being auctioned off to whichever app sends the loudest notification.
- **Philosophical**: Digital tools were built for productivity, not for the constant interruption of deep work.
**Success**: Deep work happens automatically as alerts wait for your natural breaks, reclaiming hours of uninterrupted focus every week.
**One Liner**: Every hour, knowledge workers lose focus to non-urgent alerts. Basefocus batches incoming notifications locally based on your active screen context so you can finish deep-work tasks without interruption.
**Positioning**:
- **So That**: notifications wait until you finish your current task
- **Unlike**: manual OS Focus modes
- **For Whom**: the knowledge worker focused on deep work
- **Category**: Context-aware notification management
**Call To Action**:
- **Direct**: Purchase Personal License
- **Transitional**: View Sample Batching Logic
**Failure Stakes**:
- 5+ hours of lost focus weekly
- Fragmented cognitive switching costs
- Frequent work-day overruns into personal time
**Transformation**:
- **To**: the producer who delivers complex work on schedule
- **From**: the distracted dev switching between Slack and VS Code
**Controlling Idea**: Productivity software should protect your focus automatically rather than demanding manual management.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Every hour, knowledge workers lose focus to non-urgent alerts. Basefocus batches incoming notifications locally based on your active screen context so you can finish deep-work tasks without interruption.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 4c9f39df5f403178

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Context-aware notification management for the knowledge worker focused on deep work. Unlike manual OS Focus modes — notifications wait until you finish your current task.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 1f3fb98548bccaa1

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Toggling macOS Focus modes or Windows Do Not Disturb manually fails as soon as an urgent Slack ping or Outlook alert pulls focus from a VS Code session.
Solution: Every hour, knowledge workers lose focus to non-urgent alerts. Basefocus batches incoming notifications locally based on your active screen context so you can finish deep-work tasks without interruption.
Customer: the knowledge worker focused on deep work
Unlike: manual OS Focus modes
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: b21c9fd99950102d

## Startup Token M E D D P I C C

**Pain**: Toggling macOS Focus modes or Windows Do Not Disturb manually fails as soon as an urgent Slack ping or Outlook alert pulls focus from a VS Code session.
**Metrics**: Target: Deep work happens automatically as alerts wait for your natural breaks, reclaiming hours of uninterrupted focus every week.
**Rendered**: Pain: Toggling macOS Focus modes or Windows Do Not Disturb manually fails as soon as an urgent Slack ping or Outlook alert pulls focus from a VS Code session.
Economic buyer: Knowledge Worker
Metrics: Target: Deep work happens automatically as alerts wait for your natural breaks, reclaiming hours of uninterrupted focus every week.
Competition: manual OS Focus modes
**Mechanism**: spine-derived-v1
**Competition**: manual OS Focus modes
**Economic Buyer**: Knowledge Worker
**Vocab Fingerprint**: e7b11815a83357f3

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Context-aware notification management for the knowledge worker focused on deep work

the knowledge worker focused on deep work — Toggling macOS Focus modes or Windows Do Not Disturb manually fails as soon as an urgent Slack ping or Outlook alert pulls focus from a VS Code session. Every hour, knowledge workers lose focus to non-urgent alerts. Basefocus batches incoming notifications locally based on your active screen context so you can finish deep-work tasks without interruption.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: c6a4add3371d1c25

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Context-aware notification management. Every hour, knowledge workers lose focus to non-urgent alerts. Basefocus batches incoming notifications locally based on your active screen context so you can finish deep-work tasks without interruption. Serves the knowledge worker focused on deep work.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 8704eadfd9221a28

## Neighborhood

### Candidate solutions

- [Source CDL Freight Drivers](/Problems/Source_CDL_Freight_Drivers) — candidate solution for · Problems
- [Software Capitalization Audits](/Problems/Software_Capitalization_Audits) — candidate solution for · Problems
- [Calculate Grower Liquidations](/Problems/Calculate_Grower_Liquidations) — candidate solution for · Problems

### Composed of

- [Native Intercept API](/Software/Native_Intercept_API) — composes · Software
- [Local Screen OCR Engine](/Software/Local_Screen_OCR_Engine) — composes · Software
- [Focus Context Service](/Services/Focus_Context_Service) — composes · Services
- [Screen State Analyzer Agent](/Agents/Screen_State_Analyzer_Agent) — composes · Agents
- [Notification Batching Worker](/Agents/Notification_Batching_Worker) — composes · Agents

### Competitors

- [FocusMe](/Competitors/FocusMe) — competes with · Competitors
- [RescueTime](/Competitors/RescueTime) — competes with · Competitors
- [OS Focus Modes](/Competitors/OS_Focus_Modes) — competes with · Competitors
- [Manual Muting](/Competitors/Manual_Muting) — competes with · Competitors
- [Freedom App](/Competitors/Freedom_App) — competes with · Competitors

### What it offers

- [Screen Context Batcher](/Software/Screen_Context_Batcher) — offers · Software

### Embodies

- [Software](/Theses/Software) — embodies · Theses

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