Most AI agents & complex automations fail because they’re operating in the dark. Boost.space provides the persistent context layer that turns siloed LLMs into an integrated business intelligence system. Give your automations & agents a "Shared Brain." so all workflows has the full context of your business—from past interactions to live database states—allowing workflows to compound instead of breaking.
After processing data from over 140,000 automations, we realized that building complex systems on spreadsheets or databases made for apps is like running a marathon in flip-flops. It works temporarily, but eventually, scalability breaks.
The Problem 💣 Most automation stacks are isolated scenarios. Without a live, persistent data layer, AI agents are forgetful and workflows remain fragile hacks rather than strategic assets.
The Solution 💥 We’ve built the first database purpose-built for the automation era—the "brain" your automation scenarios & AI agents have been waiting for.
👉 Scalable Data Backbone: Replace messy, fragile stacks with a dedicated architectural foundation. 👉 Single Source of Truth (SSOT): Aggregate scattered data and orchestrate two-way synchronization. 👉 Agentic Collaboration: Enable AI agents to build on each other’s work using shared context. 👉 MCP Ready: Let AI agents & LLMs directly query and reason over live business data.
Why It Matters? 🤖 By providing a persistent data layer, your automations & AI agents stack instead of breaking. This allows your AI agents to learn, compound in value, and operate as a connected system.
We are finally ready to share this with the community! We’d love your feedback on v5. 🤞 You can either connect your existing Make.com account or sign up for Boost.space PLUS plan with built-in Make.com Engine 🔥
🟢 Founders Launch Deal Special: Join our Global Launch & Get up to 5 hours of 1-on-1 onboarding & 50% OFF as long as you are subscribed - deal ends by the end of February 💡
This feels like infrastructure every serious AI stack will need. Great execution and very strong narrative around the problem.
The idea of agentic collaboration is brilliant! It’s exciting to think of AI agents building on each other’s work. Can you share an example of how this would function in a real-world automation scenario?
Well done! The MCP-ready architecture is a strong future-proofing move for agent-based systems.
This could save countless hours of debugging broken automation flows.
I never understood n8n so I am a Make.com customer.
Very excited to give it a try :)
Really cool concept, the "shared brain" angle for AI agents makes a bunch of sense. Most automation setups I've worked with eventually hit that wall where nothing remembers what happened two steps ago. Having a persistent data layer that agents can actually build on top of feels like the missing jigsaw. I'm keen to see how it handles conflicts when multiple agents are writing to the same data at once. Congrats on v5 and the consistent PH momentum! 🚀
Congratulation on the launch. Is there a template library available for me to get started?
I hit this wall with Airtable around the 10th automation. Schema works fine for one workflow, but the moment two agents write to the same table with different assumptions, you get silent data conflicts. Boost.space doing two-way real-time sync with MCP support changes the failure mode... agents can query live state before acting instead of debugging why row 847 got overwritten. The 2000+ integration count matters less than whether the data model survives multi-agent writes without manual deconfliction.
Congrats! Love products that remove complexity instead of adding more layers. This feels like exactly that 😊
Product looks extremely solid. Are you planning to include n8n or other automation tools later down the line or will it be make.com for a while?
Big launch! 👏 The agent collaboration angle is especially exciting for complex enterprise workflows.
Big congrats on shipping! How long did it take to fully redesign the architecture for v5?
Clean UI, sharp messaging, and powerful backend concept. Strong launch across all fronts 👏
The “marathon in flip-flops” analogy is painfully accurate for a lot of automation stacks. The persistent data layer angle is interesting — especially if it truly acts as a real SSOT instead of just another sync layer. Curious how you handle schema changes and versioning when multiple agents are writing to the same data?
This is a brilliant product idea. How you’re handling data governance and security at scale?
Hi Product Hunt! 👋
After processing data from over 140,000 automations, we realized that building complex systems on spreadsheets or databases made for apps is like running a marathon in flip-flops. It works temporarily, but eventually, scalability breaks.
The Problem 💣
Most automation stacks are isolated scenarios. Without a live, persistent data layer, AI agents are forgetful and workflows remain fragile hacks rather than strategic assets.
The Solution 💥
We’ve built the first database purpose-built for the automation era—the "brain" your automation scenarios & AI agents have been waiting for.
👉 Scalable Data Backbone: Replace messy, fragile stacks with a dedicated architectural foundation.
👉 Single Source of Truth (SSOT): Aggregate scattered data and orchestrate two-way synchronization.
👉 Agentic Collaboration: Enable AI agents to build on each other’s work using shared context.
👉 MCP Ready: Let AI agents & LLMs directly query and reason over live business data.
Why It Matters? 🤖
By providing a persistent data layer, your automations & AI agents stack instead of breaking. This allows your AI agents to learn, compound in value, and operate as a connected system.
We are finally ready to share this with the community! We’d love your feedback on v5. 🤞 You can either connect your existing Make.com account or sign up for Boost.space PLUS plan with built-in Make.com Engine 🔥
🟢 Founders Launch Deal Special: Join our Global Launch & Get up to 5 hours of 1-on-1 onboarding & 50% OFF as long as you are subscribed - deal ends by the end of February 💡
Huge thanks to @RohanRecommends for hunting us! 🤞