Tackly: ADHD-Friendly Real-Time AI Note Taking Tool
Transform your meetings and thoughts into 20-node visual maps instantly.
1Transcending Traditional Note-Taking
Tackly redefines AI note-taking by moving beyond plain text transcripts. Its system automatically classifies spoken content into 20 distinct node types in real-time, particularly benefiting individuals with ADHD through visual thought mapping. Founder Jonathan Lukas developed the tool based on personal experiences, creating structured maps from meetings, solo voice notes, or pasted transcripts. This innovative approach helps users organize ideas immediately without losing valuable thoughts, addressing a critical pain point in traditional note-taking methods.
2Sub-80ms Visual Response Time
Tackly's technical infrastructure features a dual-layer processing architecture guaranteeing visual response times under 80ms. The first layer (T1) instantly processes each utterance to understand context and assign appropriate node types, powered by Gemini 3.5 Flash Lite. This ensures seamless performance even in group meetings. The secondary layer (T2), triggered every 20 utterances, handles more complex logical operations to enhance map coherence. This tiered approach maintains real-time responsiveness while ensuring analytical depth.
3Three Distinct Use Cases
1) Solo Mode: Users can hold a key to voice their thoughts aloud while watching important points automatically summarized in a live map. 2) Meeting Mode: Without calendar integration, users simply paste a link to invite the bot into meetings. 3) Transcript Upload: For those frustrated with conventional AI summaries, existing transcripts transform instantly into visual maps. All scenarios allow exporting maps in MD format to AI assistants like Claude, creating a seamless workflow from ideation to execution.
420-Node Fixed Taxonomy System
Tackly's core classification system uses a fixed 20-node taxonomy without content limitations. Extended 2-hour sessions actually demonstrate improved performance as the system gains more contextual information. During content-heavy sessions, the T2 processing layer intelligently merges appropriate nodes and expands parent node summaries when necessary. This dynamic structure maintains organization without disrupting natural thought flow, proving particularly valuable during brainstorming sessions and strategic planning meetings.
5Collaboration-Focused Development Roadmap
While current versions only allow sharing among Tackly users, upcoming 'livestream' functionality will enable domain-based access. This innovation lets team members follow meeting developments in real-time without physical attendance. Beyond existing export options (PNG, SVG, MD), development focuses on MCP integrations. Significant work is underway to allow AI assistants like Claude direct access to user sessions, eliminating manual exports. These enhancements will particularly benefit product teams requiring seamless collaboration across multiple touchpoints.
6Revolutionary for ADHD Users
Born from Jonathan Lukas's personal ADHD experiences, Tackly provides radical solutions for evaporating thoughts. Unlike traditional methods, it visualizes mental processes through dynamic maps. During extended creative processes or strategic meetings, the tool maintains natural idea flow while providing structure. User testimonials report measurable productivity increases, with the visual mapping system helping maintain focus and organization where conventional notes fail. The tool's ability to make abstract thinking tangible represents a breakthrough in cognitive support technology.
7Differentiators in Competitive Market
Tackly stands apart from other AI note-taking solutions by delivering dynamic, interactive maps instead of static summaries. Its real-time processing capability proves particularly valuable during brainstorming sessions. Available at 44% off during launch, the platform targets professional teams with upcoming collaboration features. The transcript upload option ensures compatibility with existing note-taking habits while promising superior organization. These innovations position Tackly as more than just another productivity app, but rather as a fundamental rethink of how we capture and develop ideas.
8Technical Infrastructure and Future Updates
Tackly's three-tier real-time processing pipeline demonstrates impressive performance optimization. The system targets sub-80ms response times for initial rendering, delivering better results with increased contextual information during longer sessions. Planned updates include domain-based live session sharing, enhanced AI assistant integrations, and post-meeting editing capabilities. These developments aim to increase Tackly's value proposition for product teams and creative professionals, particularly in remote work environments where visual collaboration tools provide significant advantages.
9Transforming User Experience
Tackly users report overcoming the 'half-formed thoughts' problem endemic to traditional note-taking methods. The ability to revisit weeks-old voice notes through visual maps proves invaluable for long-term projects. The system's greatest strength lies in providing structure without disrupting natural thought processes. For ADHD users, this can translate to productivity increases up to 200%. Early feedback supports Tackly's claim of representing 'a new way of thinking,' with many users describing it as the first note-taking solution that actually works with their cognitive style rather than against it.
10Setting New Standards in Productivity Tools
Tackly has potential to establish new benchmarks in AI-assisted note-taking. Its interface, designed specifically for visual thinkers and neurodiverse individuals, moves beyond text-based solutions. The 20-node taxonomy system structures complex ideas without constraining creativity. Currently offered at 44% launch discount, the tool could revolutionize productivity for both teams and individuals. Upcoming collaboration features appear poised to make significant contributions to remote work culture, particularly as distributed teams increasingly demand tools that mirror natural human cognition and interaction patterns.