A studio lives or dies on the top of its funnel.
One good idea a year is a startup; a studio needs a stocked, comparable pipeline every quarter — and the expensive failure mode is falling in love with concept three while concept eleven never got looked at. Rolling top-100 boards across 44 domains give origination a standing input, and one shared formula turns killing a concept into a comparison instead of an argument.
Every concept lands on the same four pillars and sixteen dimensions, so candidates from different sectors are genuinely comparable.
A separate confidence score sits beside each opportunity — you can tell a weak bet from a bet the evidence is simply thin on.
Score history is append-only, so a concept you shelved last quarter comes back with its trend attached, not from zero.
The boards venture studios watch
Live free-tier snapshots from operations-heavy sectors studios repeatedly build into.
Retail & E-commerce
Live boardSupply Chain & Logistics
Live board- 3638RouteSafe AI: Location Risk-Aware Route Planning for Drivers
- 3737LogiExtract AI: Intelligent Logistics Document Parsing & Data Entry
- 3835TwinSim: AI-Augmented Digital Twin for Logistics Training & Planning
- 3934LogiDoc AI – Document Data Capture for Freight & Logistics
- 4034ReturnIQ: AI-Driven Returns Prediction & Intervention for E-commerce DTC
Free-tier snapshot — the full boards, analysis and score history are one free sign-up away.
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Pro opens twelve domains with deep-research reports and MVP build prompts — a standing origination input for less than a day of an analyst's time.
Frequently asked questions
How does this fit a studio's origination process?
As the always-on top of funnel. Instead of running a fresh landscape scan per thesis, you watch the domain boards that match your build capability; each opportunity arrives already scored across sixteen dimensions with its sources attached, so the studio's work starts at validation rather than at discovery.
Can two concepts from different sectors really be compared?
That is the reason the formula lives in one place. Demand, Monetization, Buildability and Openness are weighted identically for a logistics concept and a healthcare concept, and both are penalised the same way when evidence is missing — so a cross-sector shortlist is a ranking rather than a taste test.
How do we decide what to kill?
Look at where the score comes from, not just the total. A concept carried by Buildability with a capped Monetization pillar means no paying buyer was found — the cheapest possible kill signal, and a specific one your team can go disprove in a week if they disagree.
Does the engine surface things before they are obvious?
It reads primary signals — open-source activity, practitioner communities, research, product launches, marketplaces and the open web — and generates opportunities from recurring pain points. Popularity metrics never enter the score, so a board is not a ranking of what is already being talked about most.
Can our EIRs work from the same boards?
Yes, though accounts are individual — each person on the team needs their own plan. Everyone then works from the same evidence and the same score definitions, which is most of the value when several people are originating in parallel.
More general questions are answered on the FAQ page.
Evidence first. Then conviction.
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