Observed Signal · Jun 30, 2025 · Funding · Source: Tech.eu · Impact: 2/5
Skarbe Raises $600K Pre-Seed for AI Sales Assistant
Skarbe, an AI sales assistant for founders, has raised $600,000 in pre-seed funding. The round was led by FIRSTPICK with participation from Somersault Ventures and angel investors. Skarbe connects to email and calendar to automate CRM tasks, suggest next steps, draft follow-ups, and capture meeting insights, aiming to simplify selling for small teams that dislike traditional CRMs. The company currently serves over 2,500 users and supports 100+ languages. The funding will accelerate platform development, including an automated lead qualification feature and a mobile app, while training personalized LLMs based on Mistral.
Pre-seed funding for a niche AI sales assistant; relevant to MarTech but not a major industry shift.
Track Salesforce Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Belarusian-founded AI sales assistant Skarbe raised $600,000 in Pre-Seed funding.
- FIRSTPICK led the round, with participation from Somersault Ventures and angels Andreas Mihalovits and Jeroen Van Ermen.
- Skarbe automates CRM admin by connecting to email and calendar, drafting follow-ups, and tracking deals.
- The platform already serves 2,500+ users and supports 100+ languages.
- Skarbe was founded by Mikita Martynau and Alex Talyuk; Ilya Korzun serves as COO.
Connected Companies & Entities
3 Entities mapped“Popular CRMs like Salesforce and HubSpot are built for structured sales departments, not product-focused builders....”
“Popular CRMs like Salesforce and HubSpot are built for structured sales departments, not product-focused builders....”
“Mikita previously helped scale PandaDoc from $10 million to $100 million in revenue....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
From Autonomy to Accountability: How to Think About Trust in the Multi-Agent Future
Salesforce published a new article on trust in multi-agent AI systems, discussing accountability and governance in the multi-agent future.
LinkedIn says don't treat leads as finish in B2B
At LinkedIn's B2Believe event in its new Empire State Building space, executives and practitioners called for a shift from lead-centric B2B marketing to a 'full journey' approach that links signals, targeting, creative, full journey, and measurement. Jae Oh, senior director of product management, revealed that fewer than 10% of upper-funnel audiences make it into bottom-funnel campaigns, urging marketers to connect awareness with demand capture. Research from LinkedIn's B2B Institute with eMarketer showed 77% of marketers say they no longer target individuals, yet only 31% have a playbook for activating audiences down the funnel. Practitioners from Canva, SAP, Mastercard, and others shared examples of aligning marketing and sales on common signals. LinkedIn also outlined a product roadmap focused on cost-per-opportunity targeting, multi-format campaigns, agentic workflows, and incrementality forecasting.
State of Tech Industry 2026: AI Coding Agents Transform Software Engineering
The article, based on a keynote by Gergely Orosz at the LDX3 conference, presents a comprehensive analysis of the tech industry in late 2026. Key trends include the widespread shift to AI coding agents, with most engineers no longer writing code by hand and running 5-10 agents in parallel. Agent-authored PRs on GitHub now exceed human-authored ones, and AI-generated code is leading to a 'golden age' of migrations. The IDE is fading, replaced by CLI-first and agentic environments. Code reviews have become 'theatrical' due to overwhelming volume, and AI-only reviews are rising. Teams are smaller, engineering specializations are blurring, and there is a trend of CTOs resigning to build. Challenges include quality degradation, increased context switching, and infrastructure shortages (GPU, memory, CPU). The article also covers the rise of 'agentic software factories' and custom agent harnesses at major companies, alongside a trend of moving to open AI models to reduce costs.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.