Skarbe - Sell without CRM

AI-powered sales assistant for non-salespeople. Skarbe captures every email and meeting, suggests what to do next, and keeps deals on track.

skarbe.com

Oskar by Skarbe: Comprehensive Research Report

1. Executive Snapshot

Core offering overview

Oskar by Skarbe represents a fundamentally different approach to sales automation, positioning itself as an AI agent that operates within email inboxes rather than a standalone CRM platform requiring manual data entry. Built for non-salespeople—founders, consultants, and small business owners juggling multiple responsibilities—Oskar automatically monitors email communications, identifies sales opportunities, generates contextual follow-ups, and maintains deal pipelines without requiring users to update fields, log activities, or switch between applications. The platform’s “invisible CRM” philosophy contrasts sharply with traditional systems like Salesforce, HubSpot, and Pipedrive that demand structured data input and process adherence. Oskar integrates directly with existing email and calendar infrastructure, capturing conversations, meetings, and contacts automatically while using natural language processing to detect buying signals, qualify leads, and recommend next actions with AI-drafted responses ready for one-click sending.

Key achievements \& milestones

Skarbe secured six hundred thousand dollars in pre-seed funding in June 2025, led by Lithuanian venture capital firm FIRSTPICK, with participation from Somersault Ventures and prominent angel investors including Andreas Mihalovits and Jeroen Van Ermen. The Oskar AI agent feature launched on Product Hunt on November 10, 2025, achieving first-place Product of the Day ranking with 680 upvotes and 182 comments, demonstrating strong community validation. The platform currently serves over 2,500 users across more than 100 languages, with documented case studies showing conversion rate increases of twenty percent and deal closure acceleration of thirty percent. Testimonials highlight dramatic time savings, with CEO Tony Urban of DeckRobot reporting Skarbe eliminated the need for separate call recording software Gong while providing integrated task management and actionable deal insights.

Adoption statistics

While Skarbe remains in early growth stages with approximately 2,500 users as of mid-2025, the broader AI sales assistant market context suggests substantial opportunity ahead. Market research projects the global AI sales assistant software sector will expand from 2.9 billion dollars in 2025 to 20.5 billion dollars by 2035 at a compound annual growth rate of 21.6 percent, driven by demand for automation, personalization, and productivity enhancement. Small and medium enterprises represent the fastest-growing adoption segment, with CRM usage among SMEs projected to increase at 16.2 percent annually through 2030. Skarbe’s freemium model with unlimited users and value-based pricing rather than per-seat fees addresses a critical barrier, as only twenty percent of businesses under ten employees traditionally adopt CRM systems due to complexity and cost concerns.

2. Impact \& Evidence

Client success stories

DeckRobot CEO Tony Urban, a former McKinsey consultant, provided detailed testimonial documenting Skarbe’s replacement of both Gong call intelligence software and Pipedrive CRM, resulting in twenty percent conversion rate improvement. Urban specifically praised Skarbe’s integration of call insights with task management, providing clear actionable steps to advance deals rather than merely recording data. Users on Product Hunt and AppSumo consistently highlight the platform’s ability to surface forgotten opportunities—forwarded introductions buried in group emails, casual mentions from colleagues, and dormant conversations with past prospects that traditional CRM systems miss because they require manual logging. The automatic lead detection captures thirty to forty percent more opportunities than manual tracking according to platform documentation, addressing the fundamental problem that sixty percent of deals stall due to forgotten follow-ups.

Performance metrics \& benchmarks

Skarbe reports users save approximately two hours daily through automation of data entry, follow-up drafting, meeting note-taking, and pipeline management tasks that traditionally consume administrative bandwidth. The platform documents seven times reduction in busywork and thirty percent faster deal closure through consistent follow-up timing and contextually intelligent engagement recommendations. User reviews on multiple platforms reference five to eight hours weekly time savings once the AI agent completes its five to seven business day calibration period. Industry benchmarks indicate companies investing in AI sales solutions experience revenue increases of thirteen to fifteen percent and sales ROI improvements of ten to twenty percent, explaining why seventy-eight percent of sales organizations prioritize AI adoption. Skarbe’s elimination of manual CRM data entry addresses the challenge that twenty-three percent of CRM users cite as their primary obstacle.

Third-party validations

Skarbe’s Product Hunt first-place ranking on November 10, 2025, provides community validation from a discerning audience of early adopters, entrepreneurs, and technology professionals. Reviews on platforms including G2, Capterra, and AppSumo consistently emphasize the platform’s ease of setup, immediate value delivery, and differentiation from traditional CRMs. The six hundred thousand dollar pre-seed funding led by FIRSTPICK, a respected Baltic venture capital firm, signals institutional confidence in the team’s execution capabilities and market opportunity. Angel investor Andreas Mihalovits, who has backed over 150 startups, adds credibility through his participation. Third-party analysis from Skywork AI, Complete AI Training, and various CRM comparison sites positions Skarbe as a leading contender in the emerging “AI-first CRM” category for founder-led businesses and small teams.

3. Technical Blueprint

System architecture overview

Oskar operates as an AI agent layer that connects directly to users’ existing email accounts and calendar systems through standard integration protocols, monitoring all communications in real-time for sales signals. The natural language processing engine analyzes message content beyond keyword matching, identifying fifteen-plus trigger patterns including pricing inquiries, demo requests, timeline discussions, budget references, competitor mentions, objection expressions, and stakeholder involvement indicators. When triggers appear, Oskar automatically creates lead records containing complete conversation history, identified pain points, detected buying signals, prospect company information, and recommended next actions based on conversation context. The system maintains chronological interaction timelines for each prospect, eliminating manual search through email threads to reconstruct relationships. Background processing handles AI generation tasks asynchronously, ensuring the email interface remains responsive during analysis and drafting operations.

API \& SDK integrations

Skarbe integrates natively with Gmail and Google Calendar as core infrastructure, with support for Microsoft 365 Outlook and Exchange documented on the platform roadmap. The system connects to popular CRM platforms including Salesforce, HubSpot, and Pipedrive through bidirectional synchronization, enabling organizations with existing CRM investments to enhance rather than replace their infrastructure. Call recording and transcription capabilities integrate with standard web conferencing platforms including Zoom, Google Meet, and Microsoft Teams, automatically capturing meeting content and generating summaries without requiring separate recording tools. The platform’s architecture supports webhook integrations for custom workflows, though extensive API documentation for developer customization has not been extensively detailed in public materials. Planned integrations include LinkedIn for social selling intelligence and WhatsApp for messaging channel coverage beyond email.

Scalability \& reliability data

While specific uptime Service Level Agreements have not been publicly disclosed during Skarbe’s early-stage growth phase, the platform’s architecture leveraging established email and calendar infrastructure from Google and Microsoft benefits from the reliability guarantees those providers maintain. The system’s credit-based consumption model scales based on AI processing usage, with different plan tiers offering varying monthly allocations. The Pro plan includes 14,400 minutes of annual call recording capacity, 2,400 annual email AI generations, and 120,000 yearly credits covering lead enrichment, transcription, and analysis tasks. The architecture supports unlimited users within a workspace without per-seat pricing, enabling team growth without linear cost escalation. As Skarbe expands toward enterprise segments, formal SLA commitments and performance guarantees will become increasingly important competitive differentiators.

4. Trust \& Governance

Security certifications

Skarbe’s security documentation remains limited in publicly accessible materials as of the November 2025 timeframe, reflecting the company’s early-stage focus on product development and initial customer acquisition over compliance certification marketing. Standard security practices for email integration platforms include OAuth authentication protocols preventing password exposure, encryption of data in transit through TLS protocols, and database encryption at rest for stored conversation histories and user information. As the platform processes sensitive business communications including pricing discussions, strategic information, and customer data, obtaining formal certifications such as SOC 2 Type II and ISO 27001 will become critical for enterprise adoption and regulated industry penetration. The planned seed funding round in late 2025 likely includes investment in security infrastructure and compliance documentation.

Data privacy measures

Oskar’s architecture requires access to users’ email accounts to monitor conversations and identify sales opportunities, raising important privacy considerations that the platform addresses through several mechanisms. Users maintain granular control over which email conversations Oskar analyzes, with the ability to exclude specific threads, domains, or contact categories from monitoring. The system’s natural language processing occurs on Skarbe’s infrastructure rather than sharing raw email content with third-party AI providers without encryption and access controls. Data residency considerations apply for international users, particularly those subject to European Union GDPR requirements or other jurisdictions with data localization mandates. The freemium model’s terms of service and acceptable use policies require review to understand how Skarbe handles training data, whether anonymized conversation patterns improve the AI model, and what data retention policies apply after account cancellation.

Regulatory compliance details

Skarbe operates from dual headquarters in San Francisco and Krakow, Poland, creating multi-jurisdictional regulatory obligations spanning United States and European Union frameworks. The platform’s handling of business communications potentially containing personal information triggers GDPR requirements including lawful basis for processing, data subject rights fulfillment, breach notification within seventy-two hours, and data processing agreements with customers acting as controllers. For users in regulated industries such as healthcare, financial services, or legal sectors, additional compliance considerations including HIPAA, FINRA, and attorney-client privilege protections may restrict automated email analysis without explicit consent mechanisms. Organizations evaluating Skarbe should conduct due diligence regarding data protection impact assessments, vendor security questionnaires, and contractual protections before deploying for business-critical communications.

5. Unique Capabilities

Invisible CRM: Applied use case

Skarbe’s “invisible CRM” philosophy represents its core differentiation from traditional systems that demand structured data entry and process adherence. Rather than presenting users with forms, fields, stages, and dashboards requiring navigation and updates, Oskar operates silently in the background, automatically capturing every form submission, email thread, and meeting attendee without manual logging. The system tells users what to do next through clear, timely suggestions always presented in context—within the email thread where follow-up is needed, adjacent to the calendar event requiring preparation, or surfaced in the dedicated “Personal Deal Inbox” interface showing all active opportunities. This approach eliminates the second-job feeling of CRM administration, enabling founders and operators to sell authentically without conforming to formal sales processes designed for enterprise sales teams.

Multi-Agent Coordination: Research references

While Skarbe has not published detailed technical papers on Oskar’s multi-agent architecture, the platform’s functionality suggests coordination across specialized AI capabilities handling distinct responsibilities. Lead detection agents continuously scan communications for opportunity signals using pattern matching and semantic analysis. Qualification agents assess lead quality based on company size, industry, engagement level, response patterns, and buying signals to prioritize seller attention. Draft generation agents create contextually appropriate follow-up emails by analyzing conversation history, prospect communication style, sales stage, and previously successful messaging patterns. Sentiment analysis agents track engagement trends, objection patterns, and readiness indicators to inform timing recommendations. The coordination mechanism ensures these specialized capabilities work together coherently rather than producing conflicting recommendations or duplicative actions.

Model Portfolio: Uptime \& SLA figures

Skarbe has not publicly disclosed which specific large language models power Oskar’s natural language understanding, email generation, and conversation analysis capabilities. Industry-standard options include OpenAI’s GPT-4 for text generation and understanding, Anthropic’s Claude for context-aware drafting, or custom fine-tuned models trained on sales conversation datasets. The platform’s emphasis on tone matching, contextual relevance, and multi-language support suggests sophisticated prompt engineering and potentially domain-specific model adaptations. Specific uptime guarantees and Service Level Agreements have not been published during the pre-seed growth phase, though the planned Professional and Enterprise tiers likely include formal SLA commitments as Skarbe pursues larger organizational customers. The credit-based consumption model provides implicit rate limiting, preventing individual users from exhausting shared AI infrastructure capacity.

Interactive Tiles: User satisfaction data

Early user feedback from Product Hunt, AppSumo, and platform reviews consistently highlights satisfaction with Oskar’s ability to surface actionable insights without requiring users to hunt through separate dashboards or reports. The “Personal Deal Inbox” interface presents all active opportunities with clear status indicators, recent activity summaries, and specific next-action recommendations prominently displayed. Users particularly appreciate the AI-drafted email functionality that provides complete follow-up messages incorporating conversation context rather than generic templates requiring extensive customization. The call recording and transcription integration receives praise for eliminating note-taking burden during meetings while ensuring detailed records for later reference. However, as an early-stage platform, comprehensive longitudinal user satisfaction data across diverse use cases and company sizes remains limited compared to established CRM systems with years of customer feedback.

6. Adoption Pathways

Integration workflow

Organizations adopt Skarbe through a streamlined onboarding process designed for immediate value delivery without complex configuration. Users begin by connecting their Gmail or Microsoft 365 email account and Google Calendar or Outlook calendar through OAuth authentication, typically completing this step in under five minutes. During the initial five-to-seven business day calibration period, Oskar learns the user’s communication patterns, tone preferences, deal qualification criteria, and typical sales cycle stages by observing existing email conversations and calendar activities. Users guide this training by reviewing AI-generated drafts and confirming or dismissing lead detection alerts, with the system adapting its recommendations based on which suggestions users accept versus ignore. Organizations with existing CRM systems can optionally connect Salesforce, HubSpot, or Pipedrive for bidirectional synchronization, maintaining established reporting while gaining Oskar’s automation layer.

Customization options

Skarbe provides customization primarily through AI learning from user behavior rather than through complex configuration interfaces that plague traditional CRMs. Users define lead qualification criteria by specifying minimum deal sizes, target industries, company size thresholds, specific products or services Oskar should track, and keywords indicating buying intent relevant to their business. The platform adapts email generation tone and style by analyzing how users edit AI-drafted messages, learning whether the user prefers formal or casual language, brief or detailed explanations, and direct or consultative approaches. Pipeline stages can be customized to match specific sales processes, though the system intentionally keeps structure minimal compared to traditional CRMs that demand extensive field customization. Future releases including custom AI model tuning will enable more sophisticated personalization, allowing Oskar to write in distinctive brand voices or handle specialized industry terminology.

Onboarding \& support channels

The free tier includes Community Support through channels such as email, documentation, and potentially community forums or Slack groups, though specific response time commitments are not detailed. The Starter plan at seventy-nine dollars monthly provides Priority Support with faster response guarantees, though exact SLA specifications require clarification through sales inquiry. Professional and Enterprise tiers offer Premium Support including dedicated account management, onboarding assistance, implementation guidance, and potentially white-glove migration from existing systems. Documentation accessible through the Skarbe website and help center provides setup guides, feature tutorials, best practice recommendations, and troubleshooting resources. As the platform matures with enterprise adoption, expanding educational resources including video walkthroughs, webinar training, certification programs, and integration partner ecosystems will enhance onboarding success rates and reduce time-to-value.

7. Use Case Portfolio

Enterprise implementations

While Skarbe primarily targets founder-led businesses and small teams, the platform’s architecture supports several enterprise scenarios including departmental deployments where business units want sales automation without IT-imposed CRM complexity, channel partner management where organizations track reseller relationships informally, and professional services firms where consultants sell alongside delivery work. The unlimited users per workspace pricing model eliminates the per-seat cost barrier that often prevents enterprise-wide CRM deployment in organizations with many occasional users. The planned Enterprise tier offering custom integrations, dedicated support, advanced security controls, and potentially private cloud deployment addresses governance requirements for larger organizations. However, enterprise adoption requires maturity in areas including role-based access controls, approval workflows, audit logging, data retention policies, and compliance certifications that may be under development.

Academic \& research deployments

Educational institutions and research organizations can leverage Skarbe for managing corporate partnerships, tracking grant proposal conversations, maintaining alumni relations, and coordinating conference participation without imposing sales-oriented CRM complexity on faculty and administrators. The freemium pricing with substantial monthly credit allocations enables experimentation and low-budget deployments suitable for academic contexts. Universities commercializing research through technology transfer offices benefit from Oskar’s ability to track licensing conversations, partnership negotiations, and investor communications without requiring technology transfer professionals to learn traditional CRM systems. Academic entrepreneurship programs teaching students about startup sales can use Skarbe as accessible introduction to customer relationship management without overwhelming learners with enterprise CRM complexity.

ROI assessments

Skarbe’s value proposition centers on eliminating sales administrative overhead, with documented time savings of two hours daily per user translating to substantial productivity gains. For a founder billing time at two hundred dollars hourly, two hours daily savings equals four hundred dollars daily value, approximately eight thousand dollars monthly for twenty work days—dramatically exceeding the seventy-nine dollar Starter plan cost. Organizations avoiding traditional CRM subscription costs of forty to one hundred dollars per user monthly while eliminating separate tools for call recording, meeting transcription, and email automation realize additional direct cost savings. The thirty percent faster deal closure metric, if achieved consistently, accelerates cash flow and revenue realization with compounding financial impact. However, ROI depends critically on whether Oskar’s automation maintains relationship quality and conversion effectiveness compared to manual high-touch approaches—questions best answered through pilot deployments before enterprise-wide commitments.

8. Balanced Analysis

Strengths with evidential support

Skarbe’s primary competitive advantage stems from its genuine elimination of manual CRM administration through AI automation operating within existing email and calendar workflows rather than requiring users to switch applications and enter data. The founding team’s credibility—CEO Mikita Martynau’s experience scaling PandaDoc from ten million to one hundred million dollars in revenue and CTO Alex Talyuk’s background building AI platforms in San Francisco—provides execution confidence and product-market fit understanding. The “vibe sales” positioning resonates powerfully with the target audience of founders and operators who find traditional CRMs emotionally draining and process-heavy. The unlimited users pricing model with value-based credit consumption rather than per-seat fees removes adoption friction, addressing the barrier that prevents eighty percent of small businesses from deploying CRM systems. The six hundred thousand dollar pre-seed funding and Product Hunt first-place ranking demonstrate market validation and investor confidence.

Limitations \& mitigation strategies

Several constraints warrant consideration when evaluating Skarbe for specific applications. The platform’s early-stage maturity means ecosystem resources including third-party integrations, extensive documentation, established best practices, and large user communities remain less developed than mature competitors like Salesforce and HubSpot with decades of refinement. The AI agent’s effectiveness depends heavily on email communication volume—users with fewer than ten active conversations weekly see limited value because insufficient data prevents pattern recognition, making Skarbe most valuable for users managing twenty-plus concurrent relationships. The “invisible CRM” approach intentionally lacks the structured pipeline management, forecasting tools, territory management, and complex workflow automation that enterprise sales organizations require, positioning Skarbe as CRM replacement primarily for small teams rather than large structured sales departments. Organizations can mitigate limitations by conducting pilot deployments with high-volume users before enterprise rollout, maintaining integration with existing CRMs during transition periods, and establishing clear success metrics aligned with Skarbe’s automation strengths rather than traditional CRM capabilities.

9. Transparent Pricing

Plan tiers \& cost breakdown

Skarbe implements a three-tier pricing structure designed to accommodate individual users, growing businesses, and enterprise organizations. The Free tier provides one thousand monthly credits, enabling up to one hundred AI-generated next-step suggestions, basic automation features, unlimited users, community support, and core functionality without financial commitment—enabling evaluation and low-volume usage indefinitely. The Starter plan, priced at seventy-nine dollars monthly when billed annually or ninety-nine dollars monthly, includes ten thousand monthly credits translating to approximately two hundred email AI generations, twenty hours of call recording, thirty hours of call transcription, one hundred contact enrichments, and fifteen custom reports, plus priority support. The Professional tier at pricing requiring custom inquiry adds advanced features including five hundred email generations, fifty hours call recording, seventy-five hours transcription, five hundred enriched contacts, forty-five custom reports, and two hours premium support monthly. Enterprise pricing varies based on specific requirements including user counts, integration needs, security requirements, and support SLAs.

Total Cost of Ownership projections

Skarbe’s total cost of ownership demonstrates compelling advantages compared to traditional CRM approaches across multiple dimensions. For a five-person team, traditional per-seat CRM pricing at fifty dollars per user monthly totals three thousand dollars annually, while Skarbe Starter at seventy-nine dollars monthly equals 948 dollars annually—a savings of over two thousand dollars before considering eliminated tools for call recording, transcription, and email automation that add hundreds monthly. The productivity gains of two hours daily per user equals ten hours daily for a five-person team, approximately fifty hours weekly. At a conservative two hundred dollars hourly fully loaded cost, that equals ten thousand dollars weekly value, over five hundred thousand dollars annually. Organizations should factor credit consumption rates based on sales activity intensity, potential overage charges if monthly allocations prove insufficient, and the strategic opportunity cost if AI-generated communications underperform human-crafted messaging for their specific market. The unlimited users model provides exceptional value for organizations with occasional sales participants who wouldn’t justify dedicated CRM seats.

10. Market Positioning

Skarbe enters a crowded CRM landscape where established players dominate enterprise segments but increasing AI capabilities create opportunities for reimagined approaches targeting underserved founder-led businesses.

Unique differentiators

Skarbe’s primary differentiation emerges from its radical reduction of user effort through AI automation that genuinely eliminates manual data entry rather than merely simplifying it. While competitors like HubSpot and Pipedrive offer AI-powered features, they fundamentally remain systems requiring users to input information, update deal stages, log activities, and navigate separate applications. Oskar operates within the inbox where sales conversations already occur, making CRM administration literally invisible. The “vibe sales” positioning targeting non-salespeople who sell authentically rather than following structured playbooks addresses an underserved sixty million global small businesses where traditional CRMs fail adoption. The unlimited users pricing removes the per-seat barrier that causes organizations to restrict CRM access to dedicated sales staff rather than enabling company-wide visibility. The founding team’s lived experience scaling a unicorn through painful CRM evolution provides authentic understanding of target customer pain points.

11. Leadership Profile

Bios highlighting expertise \& awards

Mikita Martynau serves as CEO and co-founder, bringing over eight years of B2B SaaS product leadership experience including scaling PandaDoc from ten million to one hundred million dollars in annual recurring revenue. During his tenure as Director of Product Management at PandaDoc, Martynau launched major product lines including payments processing and interactive forms that contributed significantly to the company’s unicorn valuation achievement. His hands-on conversations with hundreds of small business owners revealed the fundamental mismatch between CRM systems designed for professional sales teams and the needs of founders juggling multiple responsibilities—insight that directly shaped Skarbe’s “invisible CRM” approach. Martynau completed training at Reforge, a prestigious product management and growth program, demonstrating commitment to continuous learning in scaling methodologies.

Alex Talyuk serves as CTO and co-founder, bringing five years of experience building AI platforms focused on computer vision and natural language processing at large-scale startups in San Francisco. His technical background spans system architecture for AI applications and user experience design across mobile and web products, combining deep learning capabilities with practical interface design that makes sophisticated AI accessible to non-technical users. The complementary skill sets—Martynau’s product-market fit understanding and go-to-market expertise paired with Talyuk’s AI engineering and UX capabilities—position the founding team to execute on the technically complex challenge of automating sales workflows intelligently.

Ilya Korzun joined as COO after initially participating as Skarbe’s first angel investor, bringing operational and financial leadership from building ventures in advertising and production industries. His transition from investor to operational leader demonstrates conviction in the opportunity and willingness to commit personally to execution.

Patent filings \& publications

Skarbe has not publicly disclosed patent filings as of the November 2025 timeframe, likely reflecting the company’s early stage and focus on rapid product iteration over intellectual property protection. The AI methodologies powering Oskar—natural language processing for intent detection, sentiment analysis, context-aware email generation, and conversation timeline extraction—represent applications of established machine learning techniques rather than novel algorithms likely to meet patentability thresholds. As the company matures and develops proprietary approaches to sales workflow automation, conversation intelligence, or AI personalization techniques that provide competitive moats, strategic patent considerations may warrant attention. The product-led growth strategy emphasizing speed and market penetration over defensive IP suggests the team prioritizes first-mover advantages and continuous innovation over patent portfolios.

12. Community \& Endorsements

Industry partnerships

Skarbe’s disclosed partnerships include integration relationships with Gmail and Google Calendar as foundational infrastructure, with Microsoft 365 support documented on the development roadmap. The platform’s compatibility with established CRM systems including Salesforce, HubSpot, and Pipedrive positions Skarbe as complementary enhancement rather than competitive threat, potentially enabling partnership channels where traditional CRM vendors recommend Skarbe for SMB customers struggling with adoption. As Skarbe expands, establishing partnerships with sales enablement platforms, business communication tools, and productivity software vendors could accelerate distribution and ecosystem value. The company’s participation in startup communities including Product Hunt, F6S, and various accelerator networks provides visibility within entrepreneurial ecosystems where target customers congregate.

Media mentions \& awards

Skarbe’s November 10, 2025 Product Hunt first-place ranking with 680 upvotes represents its most significant public recognition, validating product-market fit among the startup and technology early adopter community. The six hundred thousand dollar funding announcement generated coverage from technology media including Tech.eu, The SaaS News, VestBee, ITKey Media, TechNews180, and Startbase, establishing narrative around “vibe sales” and CRM reinvention for founders. Inclusion in AI tool directories such as There’s An AI For That, Complete AI Training, Toolify AI, and ChatGate provides discovery channels for users researching sales automation solutions. As Skarbe expands, pursuing recognition through industry awards such as SaaS Awards, Stevie Awards for Sales \& Customer Service, and inclusion in authoritative listicles from outlets like G2, Capterra, and Software Advice could enhance credibility beyond early adopter segments.

13. Strategic Outlook

Future roadmap \& innovations

Skarbe’s development trajectory focuses on expanding Oskar’s autonomous capabilities, broadening communication channel coverage, and enhancing AI personalization. Near-term roadmap items documented in public materials include mobile application launch enabling pipeline management and deal updates from smartphones without desktop requirement, automated lead qualification scoring that prioritizes opportunities based on fit and engagement signals, custom AI model tuning allowing users to train Oskar on company-specific terminology and messaging approaches, LinkedIn integration for social selling intelligence incorporating profile activities and relationship mapping, and WhatsApp support expanding beyond email to messaging channels where informal business conversations increasingly occur. The voice-first future vision includes Oskar proactively calling users to discuss deal status, conducting phone call recording and analysis for additional conversation intelligence, and unified voice plus email intelligence providing comprehensive relationship context regardless of communication medium.

Market trends \& recommendations

The AI sales assistant market faces explosive growth driven by three converging forces: mainstream large language model adoption dramatically reducing AI implementation barriers, acute shortage of sales talent creating pressure to automate lower-value activities, and generational shift toward informal relationship-based selling over structured enterprise processes. Market projections indicate the AI sales assistant software sector will grow from 2.9 billion dollars in 2025 to over 20 billion dollars by 2035, with autonomous AI agents rather than simple AI-assisted tools representing the highest growth trajectory. For Skarbe to capture meaningful market share, strategic priorities include establishing thought leadership around ethical AI sales automation that maintains authentic relationships, building robust integration ecosystem connecting popular business tools beyond core email and calendar, expanding enterprise capabilities including security certifications and compliance documentation for regulated industries, developing vertical-specific versions tuned for industries like real estate, financial services, and professional services with distinct sales patterns, and continuous AI quality improvement ensuring generated communications maintain high effectiveness. Organizations evaluating Skarbe should pilot with users managing high conversation volumes to maximize AI learning effectiveness, establish clear communication guidelines ensuring AI-generated messages maintain brand voice and relationship quality, monitor key performance indicators including response rates and conversion metrics to validate automation effectiveness, and maintain feedback loops with the Skarbe team to influence roadmap priorities addressing their specific needs.

Final Thoughts

Oskar by Skarbe represents one of the most thoughtful attempts to genuinely eliminate CRM administration burden through AI automation rather than merely adding AI features to traditional systems. The founding team’s lived experience scaling a SaaS unicorn and directly confronting CRM adoption challenges provides authentic understanding of why sixty million small businesses globally resist implementing customer relationship management systems—they’re designed for professional sales teams, not founders juggling product development, customer success, hiring, and fundraising alongside selling.

The platform’s greatest strength lies in its radical simplification philosophy: make CRM literally invisible by automating every administrative task rather than asking users to tolerate slightly less tedious data entry. The inbox-native architecture operating where sales conversations naturally occur eliminates context-switching friction, while the AI agent’s proactive suggestions—contextual follow-ups, draft emails referencing conversation specifics, timing recommendations based on prospect engagement patterns—transform CRM from obligation into valuable assistant. The unlimited users pricing with value-based credit consumption removes the per-seat barrier that causes organizations to restrict access rather than enabling company-wide relationship visibility.

However, Skarbe enters a mature CRM market where established players enjoy substantial advantages in brand recognition, ecosystem depth, enterprise relationships, and installed base. The platform’s early-stage maturity means users will encounter less developed integration options, more limited reporting capabilities, and nascent best practices compared to HubSpot’s comprehensive platform or Salesforce’s enterprise ecosystem. The AI agent’s effectiveness depends critically on communication volume—users with sparse email activity won’t generate sufficient data for Oskar to demonstrate intelligent pattern recognition, making the platform most valuable for high-velocity sales environments rather than occasional relationship management.

The “invisible CRM” approach intentionally sacrifices structured pipeline management, forecasting sophistication, and workflow complexity that enterprise sales organizations require, positioning Skarbe as CRM replacement primarily for founder-led businesses and small teams rather than organizations with dedicated sales departments. This focus represents strategic wisdom—attempting to serve both audiences simultaneously risks creating a compromised product satisfying neither—but limits addressable market compared to platforms targeting enterprise segments.

For founders, consultants, and small business owners drowning in follow-up obligations and missed opportunities because traditional CRMs feel like second jobs, Skarbe offers genuinely liberating value through AI automation that works silently rather than demanding attention. Organizations should approach adoption by piloting with users managing twenty-plus active conversations to maximize AI learning effectiveness, establishing communication guidelines ensuring AI-generated messages maintain relationship authenticity, and monitoring conversion metrics to validate that automation maintains effectiveness compared to manual high-touch approaches. As Oskar continues learning from thousands of users’ conversations and the founding team iterates based on feedback, the platform has significant potential to capture meaningful share in the vastly underserved founder-led sales segment where CRM adoption historically fails due to complexity mismatched with user needs.

Skarbe - Sell without CRM

AI-powered sales assistant for non-salespeople. Skarbe captures every email and meeting, suggests what to do next, and keeps deals on track.

skarbe.com