Team Productivity Companion (ex Company Hivemind)

Team Productivity Companion (ex Company Hivemind)

 
Target Customer: service based companies
  • COO or Ops director
    • CFO buyer
    • Project Manager who feels the pain daily
  • Companies with 50-200 employees
  • 4+ years operating
  • Remote-first or multi-location
  • Focus:
    • Consultancies: High hourly rate
    • marketing agencies: quite tech savvy ⇒ early adopter or already doing in-house?
 
Discarded:
  • Law firms: Harvey is already very well positioned and ahead of the game.
 
 
Market size
How Customer Makes Money (Big Goal, Dream Outcome)
  • Billable hours optimisation: A 200-person consultancy with average $150/hour billing rate = $30M annual revenue potential. Moving from 75% to 80% utilization = $1.5M additional annual revenue
  • Faster project delivery = higher client satisfaction = more repeat business
  • Better knowledge management = fewer project overruns = higher profit margins
Current Job (What They Currently Do)
  • Project management:
    • defining tasks in meetings
    • tracking task completion
  • Knowledge Search & Retrieval:
    • Search through multiple platforms when looking for previous work examples (Slack, Notion, Google Drive)
    • Ask colleagues when they can't remember what was decided or why
    • Manual note-taking in meetings
  • Onboarding: New employees through ad-hoc mentorship and scattered documentation
Workflows to research for agencies and consultantices
Pain Points
Consultancies make money by selling expertise, but their expertise is trapped in individual heads instead of being a scalable company asset. They can move things to CRMs and databases but that consumes time, costing billable hours.
  • Your team is delayed and making expensive mistakes because no one knows what was said, decided, or done.
    • Client information and project learnings scattered across CRM, Slack, project management tools, and email. Inputing information costs time.
    • Decision Context Lost: Why decisions were made is lost in meeting recordings or people's heads
    • Reinventing the Wheel: Searching for "similar projects we did before" by asking around instead of having searchable knowledge.
    • Loss of context and poor task tracking between meetings, chats, and project management tools.
        •  
  • Slow Onboarding: New hires take 3-6 months to understand company context; departing employees take critical knowledge with them
Outcome (Increase Likelihood of Dream Outcome)
Make more money per hour and scale expertise across your organisation. The dream outcome is moving from "senior consultants spending 20% of their time finding information and doing admin" to "junior consultants having instant access to senior expertise and past project learnings.”
  • Increase billable utilization
  • Cut project delivery time (less redoing work and duplication)
  • Faster onboarding
 
Solution
AI operations assistant “productivity companion”:
  • intermediates between slack and meetings initially, and later also CRM and task management to keep everyone and everything updated. “I’ll gladly pay $5K/month if this AI tracks every action item, reminds people, and makes sure nothing falls through the cracks.”
  • searches client/projects knowledge to save time.
  • Updates knowledge bases automatically
Features Needed
Roadmap:
  1. Call recording bot: https://meetingbaas.com
  1. Slack data pipeline
  1. Quality Q&A search and summaries
  1. CRM integration
  1. Task manager integration
  1. track action items across platforms: add tasks from meetings and slack to Task Manager, and update CRM.
  1. Fixing Drive + Notion data pipelines
 
Market size
Speartip:
Pricing of 2k-5k/month ⇒ 3k average
8,000 reachable prospects
3% penetration $8.64m ARR
 
Expanded to other service firms:
150,000+ companies globally = $50M+ ARR potential
 
Competitor analysis
The market is divided in 3 groups
  • customer support,
  • traditional knowledge bases now adding AI (learn and answer in slack type of thing) and going towards productivity,
  • Meeting recorders like Otter and Fireflies going towards productivity,
 
Crowded market but there's no one directly going after a key thing:
  • really focused on productivity i.e. picking workflows and automating those for a niche,
  • Knowledge bases: They are trying to do everything at the same time (HR policies, customer support, onboarding, employee Q&A, etc) and across all industries. It feels AI caught them a bit by surprise and so they're adding it as an extension of their usual business with little thought put on "productivity" (more specific use cases for specific workflows for a niche).,
  • customer support tools are more focused. I don't think we can compete there as @Drea had mentioned as there are a lot of workflow specific features (ticketing, output data to CRM, etc).,
  • The meeting recording apps (fireflies, otter) are too focused on meetings and their AIs don't learn from comms platforms and other tools. Their pricing is also per recorded minutes and per seat.,
 
In conclusion, I see a lot of potential for the Company Hivemind but only IF we focus a lot. The gap seems to be somewhere between the meeting recording apps, ingesting data from comms platforms, and having a clear idea of what workflow to support. That proposition targets a "productivity gap" that everyone seems to be noticing but going for it as an after thought instead of heads on.
 
Breakdown
 
What We Already Have
  • Data ingestion pipelines for discord, telegram, and websites
  • Somewhat broken data pipelines for notion, google drive, and github
 
 
Analysis
Team Productivity Companion (ex Company Hivemind)

Team Productivity Companion (ex Company Hivemind)

 
Target Customer: service based companies
  • COO or Ops director
    • CFO buyer
    • Project Manager who feels the pain daily
  • Companies with 50-200 employees
  • 4+ years operating
  • Remote-first or multi-location
  • Focus:
    • Consultancies: High hourly rate
    • marketing agencies: quite tech savvy ⇒ early adopter or already doing in-house?
 
Discarded:
  • Law firms: Harvey is already very well positioned and ahead of the game.
 
 
Market size
How Customer Makes Money (Big Goal, Dream Outcome)
  • Billable hours optimisation: A 200-person consultancy with average $150/hour billing rate = $30M annual revenue potential. Moving from 75% to 80% utilization = $1.5M additional annual revenue
  • Faster project delivery = higher client satisfaction = more repeat business
  • Better knowledge management = fewer project overruns = higher profit margins
Current Job (What They Currently Do)
  • Project management:
    • defining tasks in meetings
    • tracking task completion
  • Knowledge Search & Retrieval:
    • Search through multiple platforms when looking for previous work examples (Slack, Notion, Google Drive)
    • Ask colleagues when they can't remember what was decided or why
    • Manual note-taking in meetings
  • Onboarding: New employees through ad-hoc mentorship and scattered documentation
Workflows to research for agencies and consultantices
Pain Points
Consultancies make money by selling expertise, but their expertise is trapped in individual heads instead of being a scalable company asset. They can move things to CRMs and databases but that consumes time, costing billable hours.
  • Your team is delayed and making expensive mistakes because no one knows what was said, decided, or done.
    • Client information and project learnings scattered across CRM, Slack, project management tools, and email. Inputing information costs time.
    • Decision Context Lost: Why decisions were made is lost in meeting recordings or people's heads
    • Reinventing the Wheel: Searching for "similar projects we did before" by asking around instead of having searchable knowledge.
    • Loss of context and poor task tracking between meetings, chats, and project management tools.
        •  
  • Slow Onboarding: New hires take 3-6 months to understand company context; departing employees take critical knowledge with them
Outcome (Increase Likelihood of Dream Outcome)
Make more money per hour and scale expertise across your organisation. The dream outcome is moving from "senior consultants spending 20% of their time finding information and doing admin" to "junior consultants having instant access to senior expertise and past project learnings.”
  • Increase billable utilization
  • Cut project delivery time (less redoing work and duplication)
  • Faster onboarding
 
Solution
AI operations assistant “productivity companion”:
  • intermediates between slack and meetings initially, and later also CRM and task management to keep everyone and everything updated. “I’ll gladly pay $5K/month if this AI tracks every action item, reminds people, and makes sure nothing falls through the cracks.”
  • searches client/projects knowledge to save time.
  • Updates knowledge bases automatically
Features Needed
Roadmap:
  1. Call recording bot: https://meetingbaas.com
  1. Slack data pipeline
  1. Quality Q&A search and summaries
  1. CRM integration
  1. Task manager integration
  1. track action items across platforms: add tasks from meetings and slack to Task Manager, and update CRM.
  1. Fixing Drive + Notion data pipelines
 
Market size
Speartip:
Pricing of 2k-5k/month ⇒ 3k average
8,000 reachable prospects
3% penetration $8.64m ARR
 
Expanded to other service firms:
150,000+ companies globally = $50M+ ARR potential
 
Competitor analysis
The market is divided in 3 groups
  • customer support,
  • traditional knowledge bases now adding AI (learn and answer in slack type of thing) and going towards productivity,
  • Meeting recorders like Otter and Fireflies going towards productivity,
 
Crowded market but there's no one directly going after a key thing:
  • really focused on productivity i.e. picking workflows and automating those for a niche,
  • Knowledge bases: They are trying to do everything at the same time (HR policies, customer support, onboarding, employee Q&A, etc) and across all industries. It feels AI caught them a bit by surprise and so they're adding it as an extension of their usual business with little thought put on "productivity" (more specific use cases for specific workflows for a niche).,
  • customer support tools are more focused. I don't think we can compete there as @Drea had mentioned as there are a lot of workflow specific features (ticketing, output data to CRM, etc).,
  • The meeting recording apps (fireflies, otter) are too focused on meetings and their AIs don't learn from comms platforms and other tools. Their pricing is also per recorded minutes and per seat.,
 
In conclusion, I see a lot of potential for the Company Hivemind but only IF we focus a lot. The gap seems to be somewhere between the meeting recording apps, ingesting data from comms platforms, and having a clear idea of what workflow to support. That proposition targets a "productivity gap" that everyone seems to be noticing but going for it as an after thought instead of heads on.
 
Breakdown
 
What We Already Have
  • Data ingestion pipelines for discord, telegram, and websites
  • Somewhat broken data pipelines for notion, google drive, and github
 
 
Analysis