Boost.space v5: Building a "Shared Brain" for the AI Agent Era

2026-02-17 | ProductHunt | Official Website | 921 Votes

30-Second Quick Take

What is this?: It gathers data scattered across your various tools (CRM, spreadsheets, emails, e-commerce backends...) into one central database, allowing AI Agents and automation workflows to read and write to it. Essentially, it gives your AI and automation tools a "shared memory."

Is it worth your time?: If you're using Make/Zapier for automation or tinkering with AI Agents, this is worth a 20-minute deep dive. It solves a very real problem—AI Agents forgetting context and data being siloed between workflows. If you're a solo user or your business isn't complex enough to need multi-tool orchestration, you can skip it for now.

Three Questions That Matter

Is this for me?

Target Audience:

• SMEs and agencies using Make/Zapier/n8n for automation.
• Teams building AI Agent systems that need a persistent data layer.
• Companies with data scattered across 5+ SaaS tools struggling with sync issues.

The Litmus Test: If you find yourself manually copy-pasting data between Google Sheets, Airtable, and your CRM, or if your AI Agent has to "re-learn" your business data every time it starts—you are the target user.

Use Cases:

• E-commerce: Syncing orders, inventory, and customer data across Shopify, WhatsApp, and ERP into one place.
• Agencies: Managing automation workflows for multiple clients using a central data hub.
• AI Development: Letting multiple AI Agents share business context so they don't "lose their memory."
• Personal Notes: Not needed. Notion is enough for that.

Is it actually useful?

ROI Judgment: If you're already paying for Zapier ($50+/mo) + Airtable ($20+/mo), switching to Boost.space will likely save you money while adding features. But if your automation needs are simple, the free version of Make is probably enough.

What's to love?

The "Aha!" Moments:

• All-in-One: The Make engine is built-in, so you don't need separate subscriptions for a database and an automation tool.
• MCP Support: Letting LLMs like Claude or ChatGPT directly query and manipulate your business data is genuinely cool.
• No Per-User Fees: Whether you have 10 or 20 people on your team, the price stays the same—a huge win for agencies.

Real User Feedback:

"I've been using Boost.space for about a year now, and it has been indispensable for our company. Once I learned how to efficiently use it, it just automagically worked!" — ProductHunt User

"Promising but overwhelmingly difficult" — AppSumo User (referring to the learning curve)

"You get Make, database, CRM, project, tasks all in one." — ProductHunt User

For Independent Developers

Tech Stack

• Architecture: No-code central database + Make.com integration engine.
• Integrations: 2674+ app connectors, supports custom HTTP/Webhook.
• AI: Multi-model aggregation (OpenAI, Gemini, etc.), AI Fields for auto-filling.
• Protocol: Native MCP (Model Context Protocol) support for LLM read/write access.
• Infrastructure: EU data centers, ISO 27001:2022 certified.

Core Implementation

Boost.space essentially layers a "central database" on top of Make.com's automation engine. Data flows from various SaaS tools into this database via two-way sync, while a deduplication engine handles redundant records. AI Agents then query this database via the MCP protocol to get full business context.

It's a clear logic: Make handles the movement, Boost.space's database handles the "memory," and MCP handles the AI interface. Together, they form a persistent memory layer for AI Agents.

Open Source Status

• Core platform is closed source.
• MCP interfaces are open source: boostspace-mcp-server (Python), integrator-mcp-server (TypeScript).
• Build-it-yourself difficulty: High. Building a sync engine + 2674 integrations + deduplication logic isn't a solo job. However, if you just need simple persistence for your own Agent, a Supabase + n8n combo could get you a simplified version in about 2 person-months.

Business Model

• Monetization: SaaS subscription + operation-based tiered pricing.
• Pricing: Grow from $39/mo, Scale $59-71/mo, Enterprise $800+/mo.
• Highlight: No per-user fees; unlimited users on all plans.
• AppSumo LTD: $59-69 one-time (availability may vary).

Giant Risk

Yes. Make.com provides the engine for Boost.space. If Make decides to build their own central database (they launched 'Make Grid' in 2025), Boost.space could be in a tough spot. Additionally, Airtable's AI Cobuilder is moving in a similar direction. However, in the short term, Boost.space has a first-mover advantage at the intersection of "Data Layer + Automation + MCP."

For Product Managers

Pain Point Analysis

• The Problem: Enterprise data is scattered across dozens of SaaS tools, leading to broken or redundant workflows, and AI Agents that start every session with "amnesia."
• Severity: High-frequency, high-demand. Any team using 3+ SaaS tools hits sync issues. As AI Agents become common, the need for "Agent Memory" will only grow.

User Personas

• Persona 1: Automation Agencies building workflows for clients who need a central hub to manage multi-client data.
• Persona 2: SME E-commerce teams with data split between Shopify, WhatsApp, ERP, and Google Sheets.
• Persona 3: AI Engineers/PMs building multi-agent systems that require shared context between agents.

Feature Breakdown

Competitive Differentiation

Key Takeaways

1. Positioning as the "AI Agent Memory Layer"—This hits a real pain point in the AI era and makes for a compelling product narrative.
2. Non-per-user pricing—Extremely attractive for agencies and growing teams.
3. Native MCP support—Early adoption of AI Agent ecosystem standards.

For Tech Bloggers

Founder Story

Tadeáš Marek, based in Prague, founded Boost.space in 2017. The origin was simple: while working at Praga Global, he realized that syncing product data and prices across a dealership network was a nightmare that Excel couldn't solve. So, he built his own sync platform.

Marek says: "I was tired of working with scattered, disconnected data."

From a tool for dealership sync to the "Data Layer for the AI Agent era"—that evolution is a great story in itself.

Points of Contention

• "The child of Zapier and Airtable": A vivid description, but is it the "best of both worlds" or a "jack of all trades, master of none"?
• Learning Curve vs. Feature Richness: Users are polarized—some call it "indispensable," others find it "overwhelmingly difficult."
• Make.com Dependency: Non-Enterprise users still need their own Make.com account. Is this "user hijacking" or a smart partnership?
• Prague Team vs. US Market: Their $6.5M Seed is one of the largest in Czech history, but is it enough to conquer the US market?

Hype Metrics

• PH Ranking: v5 launch earned 921 votes.
• Historical Best: Named "Product of the Day" during its 2023 debut.
• Ratings: Capterra 4.9/5 (154 reviews).
• Socials: @boostspace has only 74 followers on Twitter; social presence is currently weak.
• User Base: 15,000+ teams across 140+ countries.

Content Suggestions

• The "Why" Angle: "Why AI Agents need a 'Shared Brain'"—Use Boost.space as the case study for solving Agent memory issues.
• Trend Jacking: MCP is becoming the standard for AI Agents. Boost.space is an early mover here; write about it in the context of the MCP trend.

For Early Adopters

Pricing Analysis

Note: Non-Enterprise plans require your own Make.com account (which has its own free tier), meaning you might pay twice.

Quick Start Guide

• Time to Value: 2-5 days to fully understand the system.
• Learning Curve: High. The dashboard is packed; you will feel overwhelmed at first.
• Steps:
  1. Sign up and enter the Dashboard (don't panic!).
  2. Go to the 'Connect' view and link your first tool (e.g., Google Sheets).
  3. Create a 'Space' and define your data fields.
  4. Set sync rules (one-way or two-way).
  5. Browse the Appflows marketplace for templates—don't start from scratch.

Pitfalls and Gripes

1. Dashboard Complexity: Many users report it feels complex from the moment they log in. Check the Getting Started docs first.
2. Support Lag: Usually a 30-minute response time, but some users have waited nearly a week.
3. Double Billing: Unless you're on Enterprise, you'll likely need to pay for Make.com separately.
4. Missing Integrations: If a tool doesn't have a pre-built connector, you'll have to write your own HTTP API requests.

Security & Privacy

• Storage: Data centers located within the EU.
• Certifications: ISO 27001:2022 certified.
• Compliance: GDPR compliant.
• SOC 2: Type 1 audit planned for Q2 2026.
• Encryption: SSL + multi-layer antivirus protection.

Alternatives

For Investors

Market Analysis

• Sector Size: iPaaS market projected at $13-19B by 2026.
• Growth: 24-34% CAGR.
• Drivers: SaaS fragmentation, the need for AI Agent persistence, and Gartner's prediction that 70% of new apps will use low-code/no-code.

Competitive Landscape

Boost.space's edge: It's not just automation (vs. Zapier) or just a database (vs. Airtable), but a "Central Data Layer + Automation Engine + MCP AI Interface" trio.

Timing Analysis

• Why Now?: AI Agents are moving from "Demo" to "Production," where the biggest bottleneck is the lack of persistent data and shared context. Boost.space is hitting the MCP standard window perfectly.
• Tech Maturity: The Make.com engine is battle-tested; the MCP standard (launched by Anthropic in 2025) is seeing rapid adoption.
• Market Readiness: Companies realize "Agent Amnesia" is a problem, but most are still using stopgap solutions (JSON files, temp DBs).

Team & Funding

• Founder: Tadeáš Marek, founded in 2017, evolved from a niche sync tool.
• Team: 10-50 people, HQ in Prague, with a US branch in San Francisco.
• Customers: 15,000+ teams in 140+ countries, including SKODA AUTO and Seznam.cz.
• Funding: $6.5M Seed (Oct 2025), led by Jet Investment. One of the largest Seed rounds in Czech history.

Conclusion

Boost.space v5 is betting on a real and urgent need: the "Shared Memory Layer" for the AI Agent era. The direction is spot on, though the learning curve and Make dependency remain its biggest hurdles.

Resources

2026-02-17 | Trend-Tracker v7.3