Question 1

Why did my startup get a low score?

Accepted Answer

Low scores usually reflect weak market fit, crowded competition, unclear differentiation, or high execution risk. Our AI analyzes your idea across these dimensions and explains the main issues in the breakdown. Use the verdict and suggested pivot to refine your concept and re-roast to see improvement.

Question 2

What do the roast score tiers mean?

Accepted Answer

Ship It (85–100): Strong idea, worth validating further. Decent (70–84): Promising but has gaps to address. Needs Work (50–69): Significant issues; use feedback to iterate. Roasted (0–49): Major concerns; consider pivoting or solving the core problem before building.

Question 3

How does DontBuildThis score startup ideas?

Accepted Answer

Our AI evaluates your idea on market fit, competition, differentiation, execution risk, and clarity. It returns a score out of 100, a tier, a verdict, and a detailed breakdown so you know exactly what to improve before spending time and money building.

Question 4

Can I improve my startup idea score?

Accepted Answer

Yes. Use the breakdown and verdict to address weak points, then submit an updated idea or pivot. Many founders improve their score by narrowing the problem, clarifying the target customer, or strengthening their unique angle.

Question 5

What is a good score for a startup idea?

Accepted Answer

Scores of 70+ indicate promising ideas worth exploring. 85+ suggests strong potential. Scores below 50 mean the idea likely needs significant rework or a pivot before it’s worth building.

Question 6

What score did "**Sollie** is a mobile-first agricultural management SaaS for small and medium rural producers, launching in Pernambuco, Brazil, with planned national expansion. The core value proposition is closing the full management cycle — map → execution → history → comparison → decision — with all data logic anchored to the **sector**, a intentional subdivision of the property that serves as the minimum unit of traceability.

**Product and features**

The product covers four connected layers: territorial management (map, measurement, agrarian unit conversion such as hectares and alqueires, sector division), crop registration per area, operational routine (editable calendar tied to the harvest cycle, automatic reminders, per-crop task lists with operational traceability), and intelligent support via **Sol.IA** — an AI assistant that operates through a guided symptom protocol, not open chat.

Financial input per sector is standardized into three cost categories (inputs, labor, machinery/services) and revenue per crop (quantity × price or total revenue). Supports manual entry, CSV import with column mapping, and PDF attachments as vouchers linked to the sector/crop. The system normalizes categories and applies consistency checks to generate auditable reports.

**Essencial plan:** Sol.IA, terrain management with sectors, agrarian unit measurement and conversion, full editable calendar, automatic crop reminders — limited to 1 property.

**Pro plan:** everything in Essencial + multiple properties, donut charts for crop distribution by area, full sector history with crop rotation, complete financial management per sector/crop (costs, revenues, margin and ROI per area), comparative reports per sector, per-crop task lists.

**Entry strategy:** 30-day full Pro trial, no credit card required. Goal: build usage habits around the crop operational routine before forcing a plan decision.

**Market context**

Pernambuco has 281,688 agricultural establishments, 82.58% tied to family farming. In 2017, 94% of family establishments received no technical assistance. In 2024, 84.8% of rural Brazilian households had internet access, supporting mobile-first viability despite variable connectivity.

Structural market risk: only 40% of rural producers' children in Pernambuco want to remain on the property, compressing long-term TAM. The adopted strategy is to generate fast value for the active producer today and treat the young people who stay as a digital adoption vector within the family itself.

**ICP:** producer who already divides the property into areas or sectors (formally or informally), tracks one or more recurring crops, uses a smartphone in the field, and manages operations through a fragmented mix of memory, notebooks, spreadsheets, and disconnected tools — combining clear pain and minimum readiness for digital adoption.

**Sol.IA — AI layer**

Does not operate through free chat. Diagnosis is guided by a checklist/quiz capturing minimum signals: symptom, crop, phase, climate/irrigation. Every recommendation logs its justification in the sector's history. Operates on three response levels visible in the interface:

- **Permitted:** low-risk recommendation, directly actionable, can generate a task or reminder.
- **Conditional:** requires context confirmation before guiding action; suggests visual inspection before proposing next steps.
- **Prohibited:** situation outside the safe level of remote guidance; directs the producer to seek specialized technical assistance and logs the reason for the block.

Recommendations operate in verifiable layers: term standardization, support from public technical references, and personalization from the sector/crop's own history for rotation and estimates with explicit premises.

**UX**

Task-guided flow: **Sector → Crop → Action → Register**. Minimum and progressive onboarding — collects only what is needed to start and allows data completion throughout the cycle. Short and actionable responses (generate task/reminder/record). Simple visual dashboards for immediate reading of indicators and comparatives. Offline-first core (map, sectors, records, calendar) with sync when connected.

**What Sollie explicitly does not do**

Does not replace specialized technical assistance. Does not operate with sensors, drones, or satellite imagery. Does not handle accounting, tax management, or invoice issuance. Does not connect producers to lenders or buyers. Does not work well without consistent minimum user input — recommendation and comparative quality depends directly on data entered, acknowledged internally as a structural limitation.

**Business model**

Revenue exclusively through subscription: Essencial and Pro, monthly or annual recurrence. Funnel: 30-day Pro trial → conversion. No marketplace, no credit, no input sales.

Cost structure: product development and infrastructure, LLM/Sol.IA cost per request, offline storage and sync, producer acquisition and onboarding.

Channels: mobile app (Android/iOS), rural cooperatives and unions, agro fairs and events, rural social networks.

Current key partner: CESAR School.

**Internally mapped risks**

1. Incorrect diagnosis from lack of context → mandatory guided protocol
2. Too many questions reduce engagement → progressive questionnaire with stop criteria
3. Dangerous or inadequate recommendations → three-level system (permitted/conditional/prohibited)
4. No proprietary agronomic database → reliance on public technical references + sector history
5. Recommendations that don't become execution → every suggestion can generate a traceable task
6. Offline consistency loss → offline-first core with synchronization
7. Generational succession fragility → long-term TAM compression; mitigated by fast trial value delivery" get?

Accepted Answer

"**Sollie** is a mobile-first agricultural management SaaS for small and medium rural producers, launching in Pernambuco, Brazil, with planned national expansion. The core value proposition is closing the full management cycle — map → execution → history → comparison → decision — with all data logic anchored to the **sector**, a intentional subdivision of the property that serves as the minimum unit of traceability.

**Product and features**

The product covers four connected layers: territorial management (map, measurement, agrarian unit conversion such as hectares and alqueires, sector division), crop registration per area, operational routine (editable calendar tied to the harvest cycle, automatic reminders, per-crop task lists with operational traceability), and intelligent support via **Sol.IA** — an AI assistant that operates through a guided symptom protocol, not open chat.

Financial input per sector is standardized into three cost categories (inputs, labor, machinery/services) and revenue per crop (quantity × price or total revenue). Supports manual entry, CSV import with column mapping, and PDF attachments as vouchers linked to the sector/crop. The system normalizes categories and applies consistency checks to generate auditable reports.

**Essencial plan:** Sol.IA, terrain management with sectors, agrarian unit measurement and conversion, full editable calendar, automatic crop reminders — limited to 1 property.

**Pro plan:** everything in Essencial + multiple properties, donut charts for crop distribution by area, full sector history with crop rotation, complete financial management per sector/crop (costs, revenues, margin and ROI per area), comparative reports per sector, per-crop task lists.

**Entry strategy:** 30-day full Pro trial, no credit card required. Goal: build usage habits around the crop operational routine before forcing a plan decision.

**Market context**

Pernambuco has 281,688 agricultural establishments, 82.58% tied to family farming. In 2017, 94% of family establishments received no technical assistance. In 2024, 84.8% of rural Brazilian households had internet access, supporting mobile-first viability despite variable connectivity.

Structural market risk: only 40% of rural producers' children in Pernambuco want to remain on the property, compressing long-term TAM. The adopted strategy is to generate fast value for the active producer today and treat the young people who stay as a digital adoption vector within the family itself.

**ICP:** producer who already divides the property into areas or sectors (formally or informally), tracks one or more recurring crops, uses a smartphone in the field, and manages operations through a fragmented mix of memory, notebooks, spreadsheets, and disconnected tools — combining clear pain and minimum readiness for digital adoption.

**Sol.IA — AI layer**

Does not operate through free chat. Diagnosis is guided by a checklist/quiz capturing minimum signals: symptom, crop, phase, climate/irrigation. Every recommendation logs its justification in the sector's history. Operates on three response levels visible in the interface:

- **Permitted:** low-risk recommendation, directly actionable, can generate a task or reminder.
- **Conditional:** requires context confirmation before guiding action; suggests visual inspection before proposing next steps.
- **Prohibited:** situation outside the safe level of remote guidance; directs the producer to seek specialized technical assistance and logs the reason for the block.

Recommendations operate in verifiable layers: term standardization, support from public technical references, and personalization from the sector/crop's own history for rotation and estimates with explicit premises.

**UX**

Task-guided flow: **Sector → Crop → Action → Register**. Minimum and progressive onboarding — collects only what is needed to start and allows data completion throughout the cycle. Short and actionable responses (generate task/reminder/record). Simple visual dashboards for immediate reading of indicators and comparatives. Offline-first core (map, sectors, records, calendar) with sync when connected.

**What Sollie explicitly does not do**

Does not replace specialized technical assistance. Does not operate with sensors, drones, or satellite imagery. Does not handle accounting, tax management, or invoice issuance. Does not connect producers to lenders or buyers. Does not work well without consistent minimum user input — recommendation and comparative quality depends directly on data entered, acknowledged internally as a structural limitation.

**Business model**

Revenue exclusively through subscription: Essencial and Pro, monthly or annual recurrence. Funnel: 30-day Pro trial → conversion. No marketplace, no credit, no input sales.

Cost structure: product development and infrastructure, LLM/Sol.IA cost per request, offline storage and sync, producer acquisition and onboarding.

Channels: mobile app (Android/iOS), rural cooperatives and unions, agro fairs and events, rural social networks.

Current key partner: CESAR School.

**Internally mapped risks**

1. Incorrect diagnosis from lack of context → mandatory guided protocol
2. Too many questions reduce engagement → progressive questionnaire with stop criteria
3. Dangerous or inadequate recommendations → three-level system (permitted/conditional/prohibited)
4. No proprietary agronomic database → reliance on public technical references + sector history
5. Recommendations that don't become execution → every suggestion can generate a traceable task
6. Offline consistency loss → offline-first core with synchronization
7. Generational succession fragility → long-term TAM compression; mitigated by fast trial value delivery" scored 87/100 (🔥 Ship It). You nailed the wedge: this is the rare ag SaaS that deserves to exist.