Spine Swarm (YC S23) – AI agents that collaborate on a visual canvas

Hey HN! We're Ashwin and Akshay from Spine AI (https://www.getspine.ai). Spine Swarm is a multi-agent system that works on an infinite visual canvas to complete complex non-coding projects: competitive analysis, financial modeling, SEO audits, pitch decks, interactive prototypes, and more. Here's a video of it in action: https://www.youtube.com/watch?v=R_2-ggpZz0Q.We've been friends for over 13 years. We took our first ML course together at NTU, in a part of campus called North Spine, which is where the name comes from. We went through YC in S23 and have spent about 3 years building Spine across many product iterations.The core idea: chat is the wrong interface for complex AI work. It's a linear thread, and real projects aren't linear. Sure, you can ask a chatbot to reference the financial model from earlier in the thread, or run research and market sizing together, but you're trusting the model to juggle that context implicitly. There's no way to see how it's connecting the pieces, no way to correct one step without rerunning everything, and no way to branch off and explore two strategies side by side. ChatGPT was a demo that blew up, and chat stuck around as the default interface, not because it's the right abstraction. We thought humans and agents needed a real workspace where the structure of the work is explicit and user-controllable, not hidden inside a context window.So we built an infinite visual canvas where you think in blocks instead of threads. Each block is our abstraction on top of AI models. There are dedicated block types for LLM calls, image generation, web browsing, apps, slides, spreadsheets, and more. Think of them as Lego bricks for AI workflows: each one does something specific, but they can be snapped together and composed in many different ways. You can connect any block to any other block, and that connection guarantees the passing of context regardless of block type. The

Hacker NewsMar 13ToolAISource

FL score

out of 100

Verdict

VALIDATE

high confidence

Competition

competitors found, emerging market, funded players

Trend

No signal yet

A visual canvas with collaborating AI agents designed for complex, non-coding projects, challenging the linear chat interface for AI.

The pain

Professionals find linear chat interfaces inadequate for complex AI work due to implicit context handling, lack of visibility into AI's reasoning, difficulty correcting specific steps, and inability to branch workflows. This leads to wasted time, inefficiency, and frustration when conducting tasks like financial modeling, competitive analysis, or creating pitch decks.

The gap

While general collaborative whiteboards (Miro, Mural) exist, they lack native, explicit AI agent integration for structured workflows. AI content generators (Tome, Gamma) are often too narrow and lack the multi-agent, visual context management proposed. The gap is a dedicated, AI-native visual workspace that makes AI's operations transparent and user-controllable for complex projects.

Build angle

Develop an infinite visual canvas where users can orchestrate AI agents using 'blocks' (for LLM calls, image generation, web browsing, spreadsheets, etc.). Each block passes context explicitly, allowing for non-linear workflows, direct correction, and parallel explorations for complex non-coding tasks.

Strengths

Addresses a real and growing pain point with current AI interaction methods.
Innovative visual, block-based interface for AI context management.
Clear value proposition: enhanced transparency, control, and efficiency for complex projects.
Strong market growth potential as AI adoption expands to more complex tasks.
Evidence of willingness to pay for productivity tools in this space.

Risks

Extremely high technical complexity, making it unsuitable for a solo builder (already a YC-funded team).
Significant educational challenge to shift users from familiar chat interfaces to a new visual paradigm.
Competition from large, funded general visual collaboration tools (Miro/Mural) and numerous AI content generation startups.
Difficulty in finding a sufficiently narrow initial wedge to gain traction against established players.
The 'multi-agent' aspect adds another layer of complexity and potential unpredictability.

Next steps

For a solo builder, it is advisable to deeply understand the core problem by conducting extensive user interviews with professionals frustrated by current AI tools for complex projects.
Identify a single, highly specific 'non-coding project' where the pain is most acute and the visual, block-based approach offers undeniable advantages.
Instead of a full multi-agent system, validate a much simpler 'explicit context' visual tool for a single AI task type (e.g., 'visual outline builder for pitch decks powered by AI').
Focus on building a truly minimal viable product (MVP) that demonstrates the core value of visual context management in weeks, not months.

Fly Labs Method

Is the pain real, is there a gap, is it the right time, can one person build it.

Problem clarity: 25
Solution gap: 15
Willingness to pay: 18
Buildability: 7

The idea addresses a real and specific pain point in AI-assisted project work with a novel visual, block-based approach. While the pain is clear and payment signals exist, the complexity of building and the presence of strong, albeit indirect, incumbents make it a high-effort endeavor for a solo builder.

Value Equation

Dream outcome and how likely it feels, against the time and effort it costs.

Strong market pain and growth, with a differentiated product offering clear value, but high build complexity and resource requirements.

One-Person Business

Curiosity pull, identity fit, and a path from free value to paid for a solo creator.

Addresses a clear and impactful problem but is far too complex and resource-intensive for a solo builder, lacking simplicity and leverage.

Viral Frameworks

Hook strength, shareability, and how cheaply it can be tested.

Offers a clear value proposition to a specific audience with a viable business model, but its advanced stage means validation readiness is not applicable for a new solo builder.

Builder Lens

Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.

Addresses a critical, growing need with an innovative interface but could benefit from a more focused initial wedge.

Why this verdict

The idea targets a highly relevant and growing problem in the age of AI: the limitations of linear chat for complex, non-linear projects. The proposed visual, block-based solution has a clear theoretical advantage and strong payment signals from adjacent markets. However, the sheer technical complexity of building a multi-agent system on an infinite canvas with diverse integrations is monumental, making it an unsuitable project for a solo builder to undertake from scratch. The existing Spine Swarm product already embodies this ambitious vision. For a *new* solo builder, the verdict is 'VALIDATE_FIRST' because a simpler, more focused approach is needed to prove the demand for explicit visual AI context management within a specific niche before attempting such a broad, complex build. The composite score of 60 reflects the high potential offset by the high complexity and existing competition.

Five lenses, one composite. How scoring works

The angle

This weekend

For a solo builder, it is advisable to deeply understand the core problem by conducting extensive user interviews with professionals frustrated by current AI tools for complex projects.
Identify a single, highly specific 'non-coding project' where the pain is most acute and the visual, block-based approach offers undeniable advantages.
Instead of a full multi-agent system, validate a much simpler 'explicit context' visual tool for a single AI task type (e.g., 'visual outline builder for pitch decks powered by AI').
Focus on building a truly minimal viable product (MVP) that demonstrates the core value of visual context management in weeks, not months.

Who is already there, emerging market

MiroFundedVisit
An online collaborative whiteboard platform for team collaboration and visual thinking.
Pricing: Free plan available. Paid plans start at $8 per user/month (billed annually) for Team, $16 per user/month (billed annually) for Business, and custom pricing for Enterprise.
MuralFundedVisit
A digital workspace for visual collaboration, particularly useful for design thinking and agile methodologies.
Pricing: Free plan available. Team+ plan is $12 per member/month (billed annually), Business plan is $17.99 per member/month (billed annually), and Enterprise is custom pricing.
TomeFundedVisit
An AI-powered platform for creating multimedia stories and presentations quickly and easily.
Pricing: Free plan with limited presentations and no AI features. Pro plan is $20 per user/month, or $16 per user/month when billed annually.
GammaFundedVisit
An AI-powered platform for creating presentations, documents, and webpages from text prompts.
Pricing: Free plan with 400 credits per month. Plus plan is $8 per user/month, Pro plan is $15 per user/month.
Beautiful.aiFundedVisit
An AI-powered presentation platform that helps teams create polished, on-brand slides with automated design.
Pricing: Pro plan is $45 per month (billed annually), Team plan is $180 per month (billed annually). Custom pricing for Enterprise. A free trial is available.
Plus AIVisit
An AI slide maker that works as an add-on inside Google Slides and PowerPoint.
Pricing: Free trial available. Pro plan at $10/month, Business at $20/month, and Enterprise with custom pricing.
Presentations.AIVisit
An AI-native presentation tool that leverages AI to create high-quality, on-brand slides effortlessly.
Pricing: Free plan for 5 AI-generated presentations. Pro plan starts at $8 per month for US customers, custom pricing for Enterprise.
AutopptVisit
An AI-powered tool that quickly generates high-quality presentations from text or documents.
Pricing: Offers a free trial, then paid plans to download presentations (specific numbers not found).
Eve LegalFundedVisit
Legal AI agents that automate and manage every part of a legal case on a visual canvas.
Pricing: Pricing not publicly available (requires demo).
The SwarmFundedVisit
A technology that maps a company's or individual's extended network to reveal strong introduction paths.
Pricing: Pricing not publicly available (requires demo).

Funded players

What they charge

The pricing landscape for solutions in this space varies, with a mix of free tiers, freemium models, and paid subscriptions. Free plans often have limitations, such as restricted AI features or a cap on creations. Paid plans generally range from around $8 to $45 per user per month when billed annually, with enterprise-level solutions requiring custom quotes. Some tools offer volume discounts for larger teams.

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