EnergyMatch — AI Daily Planner for Solopreneurs

Problem and target customer

Why this exists

Customer problem

Solopreneurs juggle client work, admin, and content creation across generic task lists without accounting for when their energy and focus actually peak, leading to misplaced deep-work blocks and afternoon slumps spent on high-cognitive tasks.

Who pays

Solo fitness coaches, consultants, and creators who manage 15-40 weekly tasks across client sessions, programming, and business admin and need a plan that respects their natural energy curve.

Business model

Monthly subscription with a free single-workspace tier and a paid multi-workspace tier for solopreneurs managing multiple brands or client rosters.

Editorial note

Solopreneurs rarely lack a task list; they lack a plan that respects when they can actually do deep work. EnergyMatch turns a flat task dump into a single-day schedule by asking one question most planners ignore: when does your brain work best?

The MVP keeps scope tight: one user, one workspace, one daily plan generated by a single LLM call. CSV import from Notion or Todoist means users do not have to abandon their existing task tool—they bring their list and get back a plan.

Calendar sync ensures the AI does not schedule a content-writing block on top of a client session. The confirmed plan pushes back to Google Calendar so the solopreneur's existing reminders still fire.

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Review MVP scope, workflow, states, data rules, architecture, and acceptance criteria.

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Evaluation preview

What would it take to run?

Directional infrastructure estimates for the current 1,000 generated outputs assumption. Open the full calculator when you are ready to change it.

Open full cost and deployment

ManagedSelected

$34-$96/ month

Managed app hosting, database, backups, and basic observability for the ai-generation workflow.

Lowest operating effort

Lean self-hosted

$17-$59/ month

One small VPS running the app, database, media volume, and backup job.

Lowest baseline cost

More control

$54-$156/ month

Separate app, data, storage, and worker capacity for cleaner operations.

Most separation and control

Build blueprint

Build the first paid use case

Product goal

Who it serves and what it must change

Target user: Solopreneur fitness coach or consultant managing 15-40 weekly tasks across client work, admin, and content creation.
Problem: Tasks are scheduled by deadline urgency alone, ignoring the solopreneur's natural energy peaks, causing deep-work blocks to land in low-energy periods.
Measurable outcome: User generates a complete energy-optimized daily plan in under 3 minutes and confirms at least one deep-work block per day.

MVP scope

What ships now and what waits

Included

Energy profile with three daily focus windows and cognitive-load tags
CSV import from Notion and Todoist plus manual task entry
Single LLM call to generate a daily plan mapping tasks to energy windows
Google Calendar sync for existing events and confirmed plan blocks
Large-typography timeline with drag-to-reorder

Excluded

Team collaboration and shared workspaces
Automated rescheduling without user confirmation
Weekly analytics and trend charts
Native mobile app

UX and user flow

Screens, actions, and states

Energy Profile Setup

Let user define morning, midday, and evening energy levels and fixed commitments.

Set focus level per windowAdd recurring client sessionsSave profile

Task Inbox

Display imported and manually added tasks with duration and cognitive load.

Import CSV from Notion or TodoistAdd task manuallyTag cognitive load as high, medium, or lowSet estimated duration

Plan Timeline

Show AI-generated daily plan in large-typography vertical timeline color-coded by energy match.

Review AI suggestionsDrag task to override placementConfirm plan for the day

Calendar Sync View

Show existing Google Calendar events alongside confirmed plan blocks to surface conflicts.

View overlapping eventsResolve conflict by adjusting planPush confirmed blocks to Google Calendar

Primary flow

Set energy profile
Import or add tasks
Generate plan
Review and adjust timeline
Confirm and sync to calendar

Loading, empty, and error states

No tasks imported — prompt to add or upload CSV
Plan generating — loading state with energy-window animation
Plan ready — timeline populated with AI suggestions
Calendar conflict detected — highlight overlapping blocks for user resolution
Plan confirmed — blocks pushed to Google Calendar, timeline locked

Core entity outline

Entities and business rules

Workspace

Top-level container for a solopreneur's settings, tasks, and plans.

Fields: id, name, created_at, subscription_tier
Relations: Has one User, Has many Tasks, Has many Plans

User

The solopreneur account with energy profile and calendar connection.

Fields: id, workspace_id, email, energy_profile_json, google_calendar_connected
Relations: Belongs to Workspace

Task

A single actionable item with cognitive load and duration metadata.

Fields: id, workspace_id, title, cognitive_load, estimated_minutes, deadline, source
Relations: Belongs to Workspace, Referenced by PlanBlock

Plan

A generated daily schedule for a specific date.

Fields: id, workspace_id, date, status, generated_at
Relations: Belongs to Workspace, Has many PlanBlocks

PlanBlock

A time slot in the plan mapping a task to a specific window.

Fields: id, plan_id, task_id, start_time, end_time, energy_window, user_overridden
Relations: Belongs to Plan, References Task

Business rules

A task tagged high cognitive load must not be placed in a low-energy window unless no other slot is available.
Plan generation must exclude time slots occupied by existing Google Calendar events.
User can override any AI placement; overridden blocks are flagged for future prompt tuning.
Only one plan per workspace per date; regenerating replaces the unconfirmed plan.
Plan cannot be confirmed if any PlanBlock overlaps an existing calendar event by more than 15 minutes.

Architecture and data flow

Components, integrations, and controls

Planning API

Accepts energy profile, tasks, and calendar events; calls LLM; returns structured daily plan.

CSV Import Service

Parses Notion and Todoist CSV exports into Task records with field mapping.

Calendar Sync Webhook

Receives confirmed plan and creates Google Calendar events via Make scenario.

Auth Layer

Workspace-scoped authentication using Supabase row-level security.

Integrations

OpenAI API for plan generation
Google Calendar API for event read and write
Make webhook for calendar event creation
Supabase Storage for CSV upload handling

Data flow

User imports CSV or adds tasks → tasks stored in Supabase with cognitive load and duration
User clicks Generate Plan → API fetches tasks, energy profile, and Google Calendar events → sends structured prompt to OpenAI → returns ranked schedule → stored as Plan with PlanBlocks
User confirms plan → Make webhook receives plan blocks → creates Google Calendar events → returns sync status to app

Failure handling

LLM call timeout → return last confirmed plan or manual scheduling prompt
Google Calendar API unavailable → queue sync and retry up to 3 times with 5-minute backoff
CSV parse error → surface field-mapping issues to user with row-level detail
Plan generation returns invalid schedule → validate output schema and retry once with stricter prompt

Security

All API routes require workspace-scoped auth token
Google Calendar OAuth tokens stored encrypted in Supabase
CSV uploads scanned for file type and size before parsing
LLM API key stored in Railway environment variables, never exposed to client

Rate limits

Maximum 10 plan generations per workspace per day
CSV import capped at 500 tasks per upload
Google Calendar sync limited to 50 events per confirmed plan

Deliverables and acceptance

Definition of done for the MVP

Deliverables

Energy profile setup screen with three focus windows
Task inbox with CSV import and manual entry
AI plan generation endpoint returning structured timeline
Large-typography timeline with drag-to-reorder
Google Calendar sync via Make webhook

Acceptance criteria

User completes energy profile setup in under 2 minutes on first visit
CSV import from a 50-row Notion export creates valid Task records with no manual field mapping
Plan generation returns a complete daily schedule within 15 seconds for 20 tasks
Confirmed plan blocks appear in Google Calendar within 60 seconds of confirmation
User can override at least one AI placement and the change persists on plan re-open

Recommended stack

Enough technology for the first version

Frontend

Lovable

Rapid build of the pastel, large-typography timeline UI with drag-to-reorder and responsive layout for solo users.

Backend API

Supabase

Managed Postgres for workspace, user, task, and plan records with row-level security per workspace.

AI Orchestration

OpenAI API

Single LLM call per plan generation that takes energy profile, tasks, and calendar events as structured input and returns a ranked daily schedule.

Automation Glue

Make

Bounded webhook handler that receives confirmed plan from the app and pushes blocks to Google Calendar via Calendar API.

Hosting

Railway

Deploys the backend API and any scheduled jobs for daily plan reminders without managing infrastructure.

Why this is sufficient

Lovable handles the visual-first timeline UI that solopreneurs interact with daily. Supabase provides durable storage for energy profiles and task records with per-workspace isolation. OpenAI powers the single plan-generation call that is central to the product. Make acts as optional glue for calendar sync webhooks only. Railway hosts the API layer and any cron-based reminder jobs.

Not required for the MVP

Advanced analytics dashboardTeam collaboration featuresMobile-native applicationHabit streaks or gamificationMulti-calendar provider support beyond Google

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Copy the build prompt, model the operating cost, and choose where to deploy.

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Execution

Build, price, and deploy the MVP

Once the blueprint is clear, use the prompt, cost model, and deployment options to start building.

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Cost calculator

Model the MVP operating cost

A technical run-cost estimate for the first production version. Team, acquisition, payment fees, and business COGS are excluded.

Estimated monthly total$34-$96

$17-$48 per 500 generated outputs

Generated outputs / month1,000 generated outputs

Selected pathEasiest

Pricing checkedAug 2, 2026

Cost breakdown

$34-$96 per month

Low and high values allow for usage variance and plan headroom.

Managed infrastructure

Managed app hosting, database, backups, and basic observability for the ai-generation workflow.

50K generated outputs included, then $8-$20 per 100K generated outputs

$25-$65

LLM API (GPT-5.4 mini)

LLM API is implied by the source workflow or feature list.

1K generated outputs x 2.5K input + 700 output tokens

$3.77-$6.28

Object storage

Object storage is implied by the source workflow or feature list.

Monthly allowance from this idea's operating profile

$5-$25

Included

Application hosting
Relational database
Basic backups
daily planner solopreneurs energy-aware scheduling requests and outcomes state
LLM API
Object storage

Not included

Paid acquisition
Founder or team time
Tax or legal review
Custom enterprise procurement

Pricing basis

The estimate combines the selected infrastructure path, required operating modules, selected optional modules, and usage above included monthly allowances. Taxes and regional uplifts are excluded.

Managed app baseline OpenAI model pricing Amazon S3 pricing

Deployment options

Pick the operational tradeoff

Choose based on operating preference, not only the headline price.

EasiestRecommended

Railway

Fast Docker deployment for the app, database, worker, and preview workflow without managing a VPS.

$15-90/month before usage-heavy add-ons

Good fit

Fast setup
Low starting cost
Good preview workflow

Limitation

Usage billing needs active monitoring as traffic and jobs grow.

Open Railway

Cheapest

Vultr

Run the app, worker, and database on one small Vultr VPS with Docker Compose and explicit backups.

$8-60/month before managed add-ons

Good fit

Predictable baseline
Portable setup
Room for workers

Limitation

You own patching, backups, monitoring, and incident response.

Deploy on Vultr View the lean VPS guide

More control

DigitalOcean

Separate application, worker, data, storage, and backup responsibilities as the workload grows.

$10-120/month before managed add-ons

Good fit

Cloud VPS control
Global regions
Room for workers

Limitation

You own server setup, patching, backups, and operational monitoring.

Explore DigitalOcean View the separated cloud guide

Start building

Prototype, automate, then deploy

Recommended route

01Vibe-coding builderBuild the planning interface

Create the energy profile editor, task list with CSV import, large-typography timeline view, and drag-to-reorder confirmation screen in Lovable.

Open Lovable 02AutomationWire calendar sync

Set up a Make scenario that receives the confirmed plan via webhook and creates Google Calendar events for each block, returning success or conflict status.

Open Make 03DeployDeploy backend and LLM endpoint

Host the Express or Fastify API on Railway with an endpoint that accepts energy profile, tasks, and calendar events, calls OpenAI, and returns the structured daily plan.

Open Railway

EnergyMatch — AI Daily Planner for Solopreneurs

Is this worth validating?

Build this if

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Validate first

Why this exists

Customer problem

Who pays

Business model

What do you need next?

What would it take to run?

Build the first paid use case

Who it serves and what it must change

What ships now and what waits

Included

Excluded

Screens, actions, and states

Primary flow

Loading, empty, and error states

Entities and business rules

Business rules

Components, integrations, and controls

Integrations

Data flow

Failure handling

Security

Rate limits

Definition of done for the MVP

Deliverables

Acceptance criteria

Enough technology for the first version

Lovable

Supabase

OpenAI API

Make

Railway

Why this is sufficient

Not required for the MVP

Build, price, and deploy the MVP

Copy this into a builder

Your build prompt is ready

Model the MVP operating cost

Usage assumptions

$34-$96 per month

Included

Not included

Pricing basis

Pick the operational tradeoff

Railway

Good fit

Limitation

Vultr

Good fit

Limitation

DigitalOcean

Good fit

Limitation

Prototype, automate, then deploy

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