Go-To-Market
Startup Delivery
Describe a startup idea in one sentence. Get back a domain, a brand, real competitor intel, and a go/no-go verdict — in under a minute. Built by Arya Rahimi.
A 4-step pipeline that runs live market recon via Nimble, finds the positioning gap with an LLM, checks real domain availability and pricing across 6 TLDs via the name.com API, and delivers a launch-ready startup package: domain, brand name, cited competitor brief, 0-100 opportunity score, and an optional one-click landing page.
Quick Start
Inputs
- Startup idea A one-sentence description of the startup concept — e.g. "an app that books last-minute dog groomers". Up to 300 characters.
Outputs
- Named brand and secured domain across 6 TLDs, with first-year and renewal pricing
.deliveryfirst domain secured for the winner (the product thesis)- Cited competitor brief with live source URLs, positioning, and detected pricing
- Market heat signal — competitor count + crowded/open classification
- Positioning gap — what the market is missing and where to enter
- 0-100 opportunity score with build / pivot / pass verdict
- Investment risks and first-week action list
- Launch kit — defensive domain bundle (.com + get-/try- prefixes) checked on name.com
- Optional one-click landing page grounded in real recon data
- Shareable delivery permalink + PNG receipt card
- Public Loading Dock gallery of all past deliveries
How it works
A 4-step pipeline wrapped in a streaming web app.
- See (Nimble) Nimble SERP runs two parallel Google searches: a primary competitor search and an "alternatives" angle. The organic results are filtered for social platforms, directories, and listicles, then deduped by registrable host. The top 3 competitors are passed to Nimble Extract in parallel — extracting their positioning and pricing pages. An LLM synthesizes everything into a cited market brief, and a grounding verifier catches any competitors cited that weren't actually surfaced by Nimble. All Nimble results are cached to disk by a stable key so reruns hit disk and never re-burn quota.
- Think (OpenRouter) The LLM receives the live competitor set, the enriched market brief, and any prior deliveries in overlapping niches from the local deliveries log (cross-idea learning). It identifies the positioning gap in the market and proposes a set of brandable name candidates. A deterministic re-ranker reorders them by brandability and collision-avoidance before passing to Step 3.
- Check (name.com)Every candidate name is checked across 6 TLDs (.delivery, .com, .app, .ai, .io, .co) in a single batched name.com API call. Taken names get a "TAKEN" stamp; available names surface with real first-year and renewal pricing, plus a premium flag. .delivery leads — the product thesis is that it doesn't suggest a startup, it delivers one. If all candidates are taken, the LLM proposes a fresh batch and the check runs again (up to 3 rounds). The winner is the first available non-premium domain in desirability order.
- Verdict + Build A deterministic 0-100 opportunity score is assembled from signed, capped evidence factors (demand, pain, monetization, differentiation, contestability, .com scarcity) — the LLM extracts signals but can only nudge the final score ±15 within an evidence-backed band. The verdict (build / pivot / pass) requires ≥2 independent positive signals. After the domain is secured, ownability is folded in as an additional factor. Optionally, an LLM writes a full landing page grounded in the real recon, deployed as a static HTML file.
Stack
Nimble primitives plus the full runtime stack.
Nimble APIs
What it does
- Nimble SERP (google_search) Runs two search angles in parallel — a primary competitor search and a "best alternatives" search — to surface the real competitive set for any idea. Filtered for junk (social, directories, listicles).
- Nimble Extract Reads the top competitor pages to enrich positioning, detect pricing, and extract page content for the market brief. Runs in parallel across up to 3 competitors. Results cached to disk — reruns never re-burn quota.
3rd Party Tools
Role
- Python 3.11+ 4-step agent pipeline: see → think → check → build
- FastAPI + uvicorn Agent bridge (:8787) — SSE streaming from Python to the web frontend
- SvelteKit + Vercel Full web UI with streaming pipeline visualization, delivery history, and the Loading Dock
- OpenRouter LLM gateway (default: claude-sonnet-4) — gap analysis, name generation, verdict, landing copy. Model-swappable via OPENROUTER_MODEL
- name.com Core API Real-time domain availability + first-year/renewal pricing across .delivery / .com / .app / .ai / .io / .co per candidate name
- Tower (optional) Serverless compute + Iceberg deliveries lakehouse mirror for queryable analytics
Reach out if you have any questions.
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