Think about your own work or business in this area: Maker launch on producthunt: Stop Deploying Agents. Start Building an AI-Native Company. One company brain gives hundreds of specialized agents the context to plan, execute, and collaborate across Pr What is the single biggest problem you have there right now? Be specific about what it costs you (time, money, customers) and what you have already tried.

Bryant Walshneutral

The biggest problem we face is definitely information overload and context switching. My team and I are constantly jumping between PostHog, Stripe, Notion, Slack, and Google Sheets to get a clear picture of our product's performance and roadmap. It costs us valuable engineering time – I'd estimate at least 5-10 hours a week per person is lost to this manual data synthesis. We've tried creating more centralized dashboards in Notion, but it's a band-aid. The idea of a 'company brain' that can actually plan and collaborate across these functions is intriguing. What I'm unsure about is how a tool like this integrates with our existing stack without adding *more* complexity. Does it actually reduce the need for us to touch those other tools, or just layer on top?

Simulated interest: 60/100

Theresa O'Konneutral

The biggest problem for us right now is stitching together disparate data sources to get a unified view. I spend at least two days a week manually compiling KPI packs and experiment summaries from Amplitude, Jira, and Excel. It's incredibly time-consuming, diverting me from more strategic work, and there's always a risk of human error. We've tried to semi-automate it with Python scripts, but it's brittle and requires constant maintenance. The idea of 'hundreds of specialized agents' sounds like it could create more overhead than it solves if we don't have clear control and transparency over how they integrate.

Simulated interest: 30/100

Giuliano Klopschneutral

The idea of a central 'company brain' sounds interesting, but my immediate concern is the "hundreds of specialized agents." We currently rely on human review for client-facing deliverables precisely because over-automation has proven risky in the past. The cost of a mistake there – lost client trust, extensive remediation – is far too high. I'd need to understand how this system ensures that human oversight is seamlessly integrated, not bypassed. My current biggest problem is balancing rapid client needs with our need for rigorous, human-verified quality, which this proposal seems to aim at solving, but the 'how' remains unclear.

Simulated interest: 30/100

Arya Mukhopadhyaynegative

The idea of a 'company brain' sounds interesting, but my biggest problem right now is actually managing the sheer volume of raw interview notes we collect. We're using Notion for capture, then Airtable for tagging, and it's becoming quite cumbersome. We spend hours just trying to get qualitative data organized for analysis. Free AI summarization helps, but it's not perfect. I'm constantly worried about missing key insights because the process is so manual and time-consuming. It probably costs us at least 5-7 hours a week in team time, which translates to money we can't afford to waste. We've tried to streamline by creating better templates in Notion, but it hasn't solved the core issue.

Simulated interest: 60/100

Johnny Kertzmannneutral

This 'AI-Native Company' concept sounds interesting, but honestly, my biggest problem right now is bandwidth. I'm juggling so many growth initiatives with limited engineering resources – coordinating experiments between Ben, our engineer, and Sarah, the founder, takes up a huge chunk of my week. We're trying to scale rapidly, and any delay in launching an A/B test or analyzing results directly impacts our user acquisition targets. I've already tried streamlining our dashboard reporting in Looker and leveraging ChatGPT for basic copy, but the core bottleneck is getting new tests live. I'm not sure how this product directly addresses that without needing significant engineering integration, which is exactly what we're short on.

Simulated interest: 30/100

Santina Uptonneutral

This idea of a "company brain" sounds intriguing, but I'm struggling to see how it addresses our core problem: the sheer overhead of translating qualitative user insights into actionable engineering tasks. We spend so much time synthesizing customer calls and trying to ensure we're building outcomes, not just features. The cost is significant – it eats into valuable roadmap time and risks misinterpreting crucial user needs if done poorly. We’ve tried standardizing our synthesis process and creating better templates in Notion, but it’s still a very manual, human-intensive effort. I'd need to understand how your solution automates or significantly streamlines this specific bottleneck without adding more complexity.

Simulated interest: 40/100

Aveline Carpentiernegative

The biggest problem we face is the sheer amount of manual work involved in compiling our client reports each week. It takes a junior analyst and myself a significant portion of Friday to gather data from Monday.com, Sheets, Mixpanel, and HubSpot, and then piece it all together coherently. This costs us at least 6-8 hours of valuable team time every week, time that could be spent on actual project delivery or proactive client management. We've tried creating templates, but the data sources are too disparate and the reporting needs vary enough that it remains a largely manual process. The idea of a unified 'company brain' sounds appealing, but I'm concerned about the integration effort and whether it can truly handle the complexity of our multi-client workflows without creating more chaos.

Simulated interest: 30/100

Hiranmaya Varrierneutral

My biggest problem is context switching. I'm juggling client comms on WhatsApp, task tracking in Trello, and then diving into code. This constant shifting costs me hours daily, not to mention the mental fatigue. I’ve tried setting strict blocks, but urgent client requests always break the flow. We’re a lean team, so every wasted hour impacts our margins directly, potentially delaying contractor payments. This ‘one company brain’ idea sounds interesting, but how does it integrate with my current tools? And what’s the actual cost? I’m not paying for ‘magic’ without seeing the code or understanding the infrastructure.

Simulated interest: 50/100

Savi Groothuizenneutral

The idea of a 'company brain' coordinating specialized agents sounds interesting, but my immediate concern is the complexity. Right now, my biggest problem is the sheer amount of time I spend stitching together data from Shopify, GA4, and our inventory system into BigQuery. It's a constant battle with data silos and inconsistencies. This manual wrangling eats up at least 30% of my week, pulling me away from actual strategic analysis. We've tried a few different ETL scripts, but they're brittle. I'm not sure how much 'one company brain' would cost, but given our startup budget, it would need to demonstrate significant time savings to justify any investment.

Simulated interest: 40/100

Shanti Kapoorneutral

The biggest problem I face is the sheer amount of manual effort involved in data validation. I spend hours cross-referencing Mixpanel data with Excel, ensuring every funnel and cohort report is accurate before it goes to the founder. This bottleneck costs me at least 5-7 hours of productive analysis time each week. We've tried improving event tracking on the engineering side, but it's an ongoing battle with a small team and limited resources. The idea of 'agents' sounds interesting, but I'm unclear how they would integrate with our current setup without adding more complexity or requiring significant engineering time.

Simulated interest: 30/100