bravo

Over het initiatief / About the initiative

In welke fase zit jouw initiatief? / In what stage is your initiative?

Ideefase

Heb je jouw initiatief al gevalideerd? / Did you validate your initiative?

Yes, 100+ people on the waitinglist

Meer informatie over jouw initiatief / More info about your initiative

bravo is an AI-powered, collaborative workspace engine that enables B2B sales and go-to-market (GTM) teams to visualize and strategize outreach across complex buyer organizations. it transforms static data into live, editable org charts with inferred hierarchies, collaboration tools, and smart sales planning features. it works like Miro or Figma, but specifically built for sales and revenue teams mapping out stakeholder engagement.

core features include:

1. org chart generation & inference
   users can upload data via CSV, Excel, or CRM integrations like Salesforce or Hubspot. bravo auto-generates an org chart and infers reporting structures, cross-functional influence clusters, and decision-making power groups.

2. collaborative workspaces
   each company is represented as a canvas where sales reps, SDRs, and AEs can annotate stakeholders, add cadence tasks, plan outreach, and share notes in real time.

3. cadence & calendar integration
   google calendar integration allows users to assign outreach tasks (such as calls and emails) directly to their calendar. team members can collaborate by assigning and syncing tasks.

4. live org mapping + AI assistance
   an AI layer helps infer hierarchy, suggest cadences based on persona and engagement level, flag risks like orphaned deals or unengaged champions, and generate relationship heatmaps.

GTM strategy:

bravo primarily targets SDRs, BDRs, AEs, and RevOps teams at mid-sized to enterprise B2B companies. its go-to-market motion includes a freemium model to encourage product-led growth (PLG), paid upgrades for collaboration and integrations, outbound sales to RevOps and GTM heads, and partnerships with CRM and enrichment tools.

Wat is er anders/nieuw aan jouw idee/oplossing t.o.v. bestaande oplossingen? / What is different/new about your idea/solution compared to existing solutions??

First, bravo uses AI-inferred org mapping instead of manual input. Existing solutions like Lucidchart or CRM-native account planning tools require users to manually draw and maintain org charts. bravo auto-generates org charts from flat data like CSV, CRM, or spreadsheets, using AI to infer hierarchy, power clusters, and influence paths. This saves hours of work and reduces guesswork.

Second, bravo is purpose-built for revenue teams. Unlike general-purpose diagramming tools like Miro, Figma, or Whimsical, bravo is designed specifically for B2B GTM teams. It includes built-in sales workflows such as cadence planning, contact annotations, and objection tracking directly in the org map.

Third, bravo offers multiplayer and real-time collaboration. CRMs like Salesforce or HubSpot offer rigid, individual views. bravo allows multiple reps, AEs, and RevOps to collaborate in real time, similar to how teams collaborate in a Figma canvas, enabling alignment across regions, verticals, or teams.

Fourth, bravo includes calendar-linked cadences. While tools like Outreach and Apollo focus on outbound sequencing, bravo links cadences to real sales calendars. Each cadence step can be scheduled into a team member’s calendar, integrating with tools like Google Calendar for better accountability and alignment.

Fifth, bravo is composable and not a CRM replacement. Unlike Clari, People.ai, or legacy sales intelligence platforms, bravo does not attempt to replace your CRM. Instead, it plugs into your existing CRM and enriches it with a strategy and collaboration layer—positioning itself as the engine, not the dashboard.

Lastly, bravo enables instant setup with no heavy lifting. Users do not need integrations to get started, uploading a spreadsheet is enough to go live within minutes. This makes bravo accessible to early-stage teams and non-technical users without relying on enterprise IT support.

Wat zijn jouw volgende stappen om het verder te ontwikkelen? / What are your next steps to develop the initiative?

Finalize MVP Scope and Feature Set
Clearly define the minimal set of features required to validate the core value proposition:

• Org chart generation from CSV/CRM input
• AI-powered hierarchy inference
• Workspace canvas with live collaboration
• Basic cadence/task assignment linked to Google Calendar
• Role-based access and workspace creation

Complete Foundational Build
With Firebase as the backend and React frontend already in use:

• Implement secure Google Auth with domain-based access control
• Build company workspace and canvas architecture
• Connect Firestore to store users, companies, employees, and annotations
• Develop the canvas UI for visualizing and editing org charts
• Add initial AI logic for structure inference and power mapping

Validate with Design Partners
Engage 3–5 early-stage design partners (startups with active sales teams) to:

• Upload employee data
• Use the platform collaboratively
• Give feedback on org inference quality, cadence workflow, and usability

4. Calendar & CRM Integration (V1)
Integrate Google Calendar for syncing cadence tasks and explore basic one-way CRM enrichment (e.g., via HubSpot API or manual CSV exports from Salesforce)

Launch Freemium + Waitlist
Publish a landing page with:

• Demo GIF or Loom video
• Freemium plan for solo AEs/BDRs
• Waitlist for org-level or RevOps teams
• Incentives for referrals (e.g., priority access)

Begin GTM Experiments

• Run cold outreach to RevOps and GTM leads
• Post before/after org visualizations on LinkedIn and Reddit
• Partner with CRMs, RevOps communities, or SDR tooling platforms for exposure

Layer in AI Intelligence
After base is stable, add:

• Automatic persona-tagging (e.g., budget holder, influencer, blocker)
• Suggested cadences based on stakeholder role and sales stage
• Heatmaps of engagement or risk zones in the org

Wat heb je nodig om (nog meer) impact te maken met dit initiatief? / What do you need to make (more) impact with this initiative?

1. Design Partner Access to Real-World Sales Teams
bravo’s value is strongest when applied to complex sales scenarios. Gaining access to early design partners (B2B companies with 5–20 person GTM teams actively pursuing mid-market or enterprise deals) will provide critical feedback loops, help fine-tune hierarchy inference, and validate real-time collaboration features. Warm intros or pilot commitments from RevOps leaders would accelerate this.

2. Strong Product Design for B2B Usability
Because bravo lives at the intersection of sales intelligence and collaborative tooling, it needs to feel intuitive yet powerful. Access to a seasoned B2B product designer or product-minded frontend engineer could significantly improve UX flows, org chart clarity, and canvas ergonomics—especially around annotation and cadence workflows.

3. CRM and Enrichment Data Integration
To move from useful to indispensable, bravo must ingest and enrich live data from sources like HubSpot, Salesforce, or Clearbit. Support (technical or commercial) for integrating these tools, or partnerships with API providers, would boost org inference accuracy and save users time.

4. Marketing Firepower to Drive Awareness
The org mapping + GTM strategy category is not yet well-defined, so clear positioning and education is essential. A budget or support for targeted outbound, content marketing (LinkedIn, Reddit, founder communities), and visual case studies would help explain bravo’s utility and drive adoption.

5. Continued AI Development Resources
To stay ahead, bravo needs to continuously improve its AI inference engine, this includes refining how it guesses org structure, detects relationship clusters, and suggests next-best actions. Access to high-quality org data, annotation examples, and ML/NLP expertise would sharpen this capability over time.

In short, the most impactful levers right now are: (1) access to live sales teams for feedback, (2) stronger product design execution, (3) CRM data pipeline support, (4) targeted awareness campaigns, and (5) enhanced AI training data or expertise.