Predict and slash your B2B carbon sales cycles with data
Solo climatetech founders endure 12+ month B2B sales cycles to enterprises for carbon tracking software, despite proven product-market fit.
CycleSlicer is a lightweight CRM for climatetech founders tracking enterprise deals with AI predictions on cycle length and win probability. Benchmarks against 1K+ anonymized deals to suggest acceleration tactics like targeted follow-ups. Turns 12-month slogs into 3-month closes.
Solo founders in climatetech developing carbon tracking software for B2B enterprise sales
Climatetech-specific benchmarks from real founder data
edgy
Kanban-style board for enterprise prospects with stages
Forecasts cycle time and win rate based on inputs and benchmarks
Suggests next actions: emails, calls, with templates
Compares your metrics to aggregated climatetech averages
Log calls/emails auto-feeds prediction model
Export deal velocity reports
Push notifications for high-win deals
Bulk upload existing deals
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| prospect_name | text | No |
| stage | text | No |
| predicted_cycle | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| deal_id | uuid | No |
| type | text | No |
| notes | text | Yes |
| timestamp | timestamp | No |
Relationships:
/api/dealsList user deals
/api/deals/:id/predictRun AI predictions
/api/activitiesLog new activity
/api/benchmarksFetch industry averages
No benchmarks
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 25 | 4% | $37 | $444 |
| Month 6 | 200 | 9% | $666 | $7,992 |
AI CRM predicts wins, benchmarks peers, prescribes actions – for solo founders.
Validate via Typeform on climatetech Twitter/Discord; Offer lifetime Pro to first 3 for public case studies; Target founders complaining about sales cycles on LinkedIn.
Call analysis
Too complex/expensive for solos
Lightweight, climatetech-focused
Forecasting
No industry benchmarks
Niche data + affordability
Network effects from shared anonymized deal data
Founder exodus from climatetech due to sales pain; AI forecasting boom
Data privacy concerns
Strict anon + GDPR compliance
Inaccurate predictions early
Seed with public datasets
Success: Willing to share anon metrics
Success: 70% weekly active
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