Oskar vs Tabbit AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Oskar and Tabbit AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Oskar
Skarbe
AI-powered sales assistant that captures emails and meetings, suggests next steps, and keeps deals on track for non-salespeople.
Key features
- Automatic Capture: Continuously captures emails and meeting data to record interactions and preserve deal context without manual entry.
- Next-Step Suggestions: Analyzes conversation and meeting context to recommend actionable follow-ups and priorities for each deal.
- Deal Tracking: Maintains visibility into deal progress and surfaces items that need attention to keep opportunities moving.
- Non-Sales Friendly Interface: Designed for users who are not sales specialists, reducing friction and training required to manage sales activity.
- Contextual Reminders: Prompts users about outstanding tasks and recommended actions based on captured communications and timelines.
- Passive capture of emails related to deals
- Capture and logging of meetings
- Contextual next-action suggestions to progress deals
- Automated deal tracking to reduce manual CRM entry
- Designed for non-salespeople to manage sales workflows
Best for
- Managing inbound leads from email by capturing correspondence and receiving recommended follow-ups without a CRM.
- Empowering founders or product teams to track sales conversations and next steps directly from their inbox and calendar.
- Customer success teams tracking renewal conversations and action items by capturing meetings and suggested next actions.
- Small teams avoiding CRM adoption but needing automated deal tracking and reminders based on real communications.
- Streamlining follow-up workflows by surfacing prioritized next steps after sales calls or email exchanges.
- Small teams that want pipeline visibility without adopting a full CRM
- Non-sales employees who need help following up and progressing opportunities
- Automating meeting and email capture to maintain deal history
- Providing suggested next steps to accelerate stalled deals
Tabbit AI
Lumina Lab
An agentic AI browser for macOS and Windows where tabs, files and highlights become context for multi-agent workflows driven by site-specific skills.
Key features
- Context From Anything: Tabs, PDFs, bookmarks, local files, screenshots, closed-tab history and highlighted page elements can all be attached to a prompt with an @ mention, and the agent reads, plans and executes against them.
- Parallel Multi-Agent Roles: Research, Operator, Writer and Analyst agents run as distinct roles loaded with the right skills, so reading papers, running crawlers, drafting and data work happen side by side rather than in one generic chat.
- 2,000 Site-Specific Skills: Prebuilt agentic skills target the top 100 daily-use sites, including feed triage and highlight reels on YouTube and Bilibili, cross-thread search and Markdown export for ChatGPT, PR explanation and test-gap finding on GitHub, and PRISMA-grade tracking for medical literature.
- Day-One Model Coverage: Tabbit supports nearly every major model and says new releases go live within twelve hours, spanning frontier Western models and Chinese models such as Kimi, GLM, DeepSeek, Doubao, Qwen, MiniMax and LongCat.
- Custom Skill Authoring: Recurring power prompts can be pinned as reusable skills invoked with a slash command, and creators can submit skills to the wider library.
- Academic Research Tooling: One-click saving from arXiv, Nature and PubMed with full PDF and metadata, SVM-ranked daily arXiv feeds based on reading history, table extraction to TSV across papers, cited library-wide Q&A, and a PMC-to-Unpaywall-to-preprint cascade for finding free PDFs.
- On-Device Privacy: Highlights, chats, saved pages, history and bookmarks are encrypted on the machine; Tabbit states it does not relay, log or mirror conversations, and its controls are independently examined under SOC 2 Type I.
- One-Click Migration: History, bookmarks, extensions and settings transfer from Safari, Edge or Chrome in a single step, with background updates thereafter.
Best for
- Podcast and Newsletter Research: Sift large volumes of source material by pulling quotes, timestamps and book references from long podcasts and deduplicating every subscription into one daily digest.
- Academic Literature Review: Run one query across PubMed, bioRxiv and medRxiv, track found, screened and eligible counts to systematic-review standards, and ask cited questions across every saved paper.
- Code Review Support: Have the browser read a 47-file pull request, explain the diff in plain English with repository awareness, flag breaking changes the test suite missed and map untested code paths to file and line.
- Discussion Mining: Surface the load-bearing disagreements under a long comment thread, visualise where consensus breaks and export the takes worth keeping as clean Markdown.
- Video Content Repurposing: Auto-cut a two-hour stream into a short reel, download in HD with chapters and subtitles, and live-translate subtitles while watching.
- Inbox and Subscription Housekeeping: Rank threads where someone is waiting on a reply, detect every paid subscription from email receipts and batch-unsubscribe from marketing lists.
- Personal Knowledge Base: Drop videos and articles into Notion or Obsidian with a TLDR and full transcript, and export ChatGPT conversations to Markdown you own.