One-Liner
A dynamic term sheet benchmarking tool for non-AI B2B SaaS founders in Berlin, Amsterdam, and Stockholm, comparing their received terms against current EU seed deal data given the AI-capital concentration distortion.
AI Thinking Process
Solo founder of non-AI B2B SaaS in Berlin pitches 80 VCs, gets 5 engagements sending back onerous term sheets designed for AI mega-round economics. Currently spends €4K-€10K on startup lawyer per term sheet. Non-AI seed funding collapsed 44% YoY in Europe.
Carta/Pulley (US, cap table), Capital Dx/Index Ventures Handbook (static), AngelList (syndicate infrastructure), NotQuant/Finta (deal rooms), Fondo/YC SAFE Standards (US-centric). Real gap in dynamic EU non-AI seed term intelligence confirmed.
structural adoption barrier: VCs would dislike founders having better term intelligence — distribution through VC-sponsored channels blocked. G008 Frequency Trap: founder uses this 2-4 weeks in their life. Solo founder won't pay $200/month; Fondo-style $495/year closer but still marginal value.
KILLED — frequency trap + weak buyer budget + hostile distribution (VC interests). Buyer economics too thin for standalone SaaS.
Kill Reason
Solo founders at seed stage will not pay $200/month for term sheet intelligence. The primary use case (2-4 weeks in the founder's life, once or twice ever) triggers the frequency trap. VCs actively dislike founders having better term intelligence, blocking all VC-adjacent distribution channels.
AI Self-Correction
↑0pts — confidence held or increased after verification
Risk Analysis
Risk analysis available for latest engine ideas.
What do you think?
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