Flow state time tracking with AI categorization for multi-gig freelancers.
Creators and freelancers cannot effectively categorize billable hours across multiple gigs and platforms using existing time-tracking apps.
FreelanceFlow uses AI to analyze notes, tasks, and contexts to auto-categorize hours across gigs and platforms without rules setup. It provides distraction-free timer with voice notes and instant gig allocation. Focus on work, not admin.
Creators and freelancers juggling multiple gigs across platforms like Upwork, Fiverr, and client-direct work
AI-driven categorization from natural language, no manual rules needed.
supportive
Minimal timer with voice-to-text notes.
Auto-assign hours to gigs based on notes/context.
AI insights on hours per gig/platform.
Quick gig setup for Upwork/Fiverr tasks.
Review/edit AI categorizations post-session.
AI tips on gig balance.
Start/stop via speech.
Future platform sync.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| keywords | text[] | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| gig_id | uuid | Yes |
| duration | int | No |
| notes | text | Yes |
| ai_confidence | float | Yes |
Relationships:
/api/timer/startStart with notes
/api/timer/stopStop and AI categorize
/api/dashboardAI insights dashboard
/api/entriesList editable entries
/api/gigsUpsert gig
20 entries/mo
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 250 | 2% | $125 | $1,500 |
| Month 6 | 2,000 | 6% | $3,000 | $36,000 |
Timer, voice notes, and smart allocation for Upwork, Fiverr, and beyond.
Share build-in-public on Twitter/X with AI demo clips, recruit from replies. Post in r/sideproject and r/freelance for beta signups. Offer free Pro to 10 YouTube creators complaining about time tracking.
Auto-tracking
App-only, no gig focus
Freelance gig AI
AI memory
Team-oriented
Solo multi-gig
AI fine-tuning on user data for accuracy; low-cost scaling.
AI APIs cheap/accessible, freelancers seek automation.
AI accuracy low
Fallback manual + feedback loop
OpenAI costs
Tier limits + caching
AI hype fade
Core timer fallback
Success: 85% accuracy
Success: 70% prefer AI
Success: 300 signups
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